CVD v1.2 APHRC-CVD-2011-1.2 African Population and Health research Center © APHRC, 2013 2013-06-30 Nesstar Publisher Version 1.2 CVD v1.2 Assessing the linkages between socioeconomic status, perceived personal risk, and risk factors for cardiovascular and related non-communicable diseases in a population of slum dwellers in Nairobi, Kenya CVD 2009 ENGLISH APHRC-CVD-2011-1.2 African Population and Health Research Center

Population of Korogocho and Viwandani Slums

Catherine Kyobutungi, PhD © APHRC, 2013 2009-10 Nesstar Publisher Welcome Trust 082775/Z/07/Z Head, Statistics and Surveys Unit Other Household Health Survey [hh/hea] Version 1.2, November 2014. Anonymized with DOI and Recommended Citation added. Prevalence of non-communicable diseases (NCD) is increasing in sub Saharan Africa (SSA). With rapid urbanisation and poor economic performance new challenges emerge for NCD prevention in the region. This project aimed to contribute to knowledge on the epidemiology of NCD in SSA by exploring the linkages between factors in the socioeconomic and socio-cultural environments, perceived risk for getting cardiovascular disease (CVD) and health-related behaviour among slum dwellers. Specifically it aimed to estimate the levels and determinants of perceived risk for CVD, prevalence of risk factors for CVD and to describe the relationship between perceived risk and health related behaviour. Understanding these context-specific factors informed the design of prevention programs. Quantitative and qualitative methods were employed. A random sample of 5000 adults in the Nairobi Urban Health and Demographic Surveillance System area were interviewed. KENYA Two informal settlements, Korogocho and Viwandani, in Nairobi City (the capital city) of Kenya. Individuals The survey covered persons recruited in the NUHDSS and aged 18 and above years. Sample survey data [ssd] Face-to-face [f2f] Team leaders monitored progress in the field and quality control measures were also implemented by them. Data has been weighted 5190 interview and targeted 7247 (Response rate=72%) African Population and Health Research Center African Population and Health Research Center, Assessing the linkages between socioeconomic status, perceived personal risk, and risk factors for cardiovascular and related non-communicable diseases in a population of slum dwellers in Nairobi, Kenya, June 2013. APHRC, Nairobi - Kenya. doi:11239/176-2008-009-1.2 The user should submit electronic and paper copies of all publications generated using APHRC data to the Policy Engagement and Communications Department (info@aphrc.org), with copies to the Director of Research. The user of the data acknowledges that APHRC and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. Questionnaire CVDMain_data.NSDstat The data file contain information from the main questionnaire on demographics, care and support, work history and benefits, chronic conditions and health care utilization, health state description , social and cultural environment, body image assessment and Risk factors and prevention. 5470 463 Nesstar 200801 APHRC AlcoholValidation.NSDstat The data file contain information of individuals who were selected to participate in alcohol validation study. This information was collected through a collateral respondent. 107 63 Nesstar 200801 APHRC PAValidation.NSDstat The file contain information for individuals sampled for physical validation study. 159 37 Nesstar 200801 APHRC OGTT.NSDstat The file contain information for individuals who had glucose tolerance test (OGTT). 2634 15 Nesstar 200801 APHRC CVD Main Data Alcohol Validation PA Validation OGTT Identification Record identifiers for location, respondent and start as well as end time Demographics Care and Support Links with Place of origin Work history and benefits Chronic conditions and health care utilication Health state descriptions Social cultural environment Body image Risk factors an d preventine behavior Perceived personal risk Anthropometrics and biomakers Validation study Identification Validation of Alcohol Consumption Endings Field worker's code 5470 0 A1 1 AG 1 AI 160 AJ 151 AW 1 BW 1 CB 1 DH 374 DI 1 DJ 433 DY 1 GA 314 GC 101 GK 1 GW 144 HA 1 HC 417 HM 409 HN 250 IM 181 JM 1 JQ 108 KC 1 KG 516 KS 73 MD 2 MH 1 ND 125 NV 144 OJ 1 RD 386 RG 1 RM 1 RW 322 SM 449 TC 270 WM 1 WW 72 aj 4 dd 1 dh 4 dj 3 dt 1 ga 2 gw 3 hc 5 hm 2 hn 2 im 2 nd 5 no 1 nv 5 rd 1 rw 2 sm 4 ww 6 Date of Interview 5470 2008-01-14 2009-10-02 2008-01-14 1 2008-04-16 31 2008-04-17 27 2008-04-18 22 2008-04-19 30 2008-04-20 24 2008-04-21 6 2008-04-22 26 2008-04-23 42 2008-04-24 18 2008-04-25 22 2008-04-26 21 2008-04-27 23 2008-04-28 7 2008-04-29 33 2008-04-30 31 2008-05-01 28 2008-05-02 17 2008-05-03 15 2008-05-04 17 2008-05-06 19 2008-05-07 15 2008-05-08 15 2008-05-09 10 2008-05-10 4 2008-05-11 5 2008-05-12 6 2008-05-13 27 2008-05-14 26 2008-05-15 32 2008-05-16 27 2008-05-17 17 2008-05-18 27 2008-05-19 4 2008-05-20 35 2008-05-21 33 2008-05-22 31 2008-05-23 20 2008-05-24 26 2008-05-25 30 2008-05-26 11 2008-05-27 40 2008-05-28 40 2008-05-29 36 2008-05-30 41 2008-05-31 34 2008-06-01 16 2008-06-02 6 2008-06-03 19 2008-06-04 22 2008-06-05 19 2008-06-06 21 2008-06-07 16 2008-06-08 14 2008-06-09 3 2008-06-10 22 2008-06-11 28 2008-06-12 26 2008-06-13 29 2008-06-14 25 2008-06-15 25 2008-06-16 8 2008-06-17 39 2008-06-18 41 2008-06-19 42 2008-06-20 37 2008-06-21 26 2008-06-22 36 2008-06-23 4 2008-06-24 32 2008-06-25 38 2008-06-26 29 2008-06-27 19 2008-06-28 15 2008-06-29 18 2008-06-30 3 2008-07-01 38 2008-07-02 40 2008-07-03 38 2008-07-04 37 2008-07-05 28 2008-07-06 31 2008-07-07 7 2008-07-08 34 2008-07-09 35 2008-07-10 34 2008-07-11 42 2008-07-12 31 2008-07-13 47 2008-07-14 6 2008-07-15 41 2008-07-16 48 2008-07-17 44 2008-07-18 5 2008-07-19 36 2008-07-20 45 2008-07-21 7 2008-07-22 33 2008-07-23 39 2008-07-24 37 2008-07-25 37 2008-07-26 39 2008-07-27 22 2008-07-28 3 2008-07-29 17 2008-07-30 13 2008-07-31 20 2008-08-01 19 2008-08-02 17 2008-08-03 20 2008-08-04 7 2008-08-05 23 2008-08-06 15 2008-08-07 15 2008-08-08 12 2008-08-09 17 2008-08-10 19 2008-08-11 2 2008-08-12 4 2008-08-13 6 2008-08-14 2 2008-08-15 5 2008-08-16 3 2008-08-17 6 2008-08-18 1 2008-08-19 2 2008-08-20 3 2008-08-21 5 2008-08-22 6 2008-08-23 3 2008-08-24 4 2008-08-25 1 2008-08-26 33 2008-08-27 40 2008-08-28 47 2008-08-29 46 2008-08-30 33 2008-08-31 41 2008-09-01 9 2008-09-02 38 2008-09-03 29 2008-09-04 36 2008-09-05 25 2008-09-06 30 2008-09-07 38 2008-09-08 9 2008-09-09 24 2008-09-10 28 2008-09-11 26 2008-09-12 27 2008-09-13 33 2008-09-14 39 2008-09-15 3 2008-09-16 14 2008-09-17 13 2008-09-18 12 2008-09-19 12 2008-09-20 19 2008-09-21 11 2008-09-22 4 2008-09-23 18 2008-09-24 13 2008-09-25 9 2008-09-26 6 2008-09-27 6 2008-09-28 3 2008-09-29 1 2008-09-30 7 2008-10-01 15 2008-10-02 22 2008-10-03 21 2008-10-04 18 2008-10-05 18 2008-10-06 7 2008-10-07 22 2008-10-08 15 2008-10-09 11 2008-10-10 14 2008-10-11 14 2008-10-12 12 2008-10-13 2 2008-10-14 15 2008-10-15 15 2008-10-16 16 2008-10-17 15 2008-10-18 14 2008-10-19 19 2008-10-20 2 2008-10-21 19 2008-10-22 23 2008-10-23 18 2008-10-24 18 2008-10-25 21 2008-10-26 24 2008-10-27 2 2008-10-28 14 2008-10-29 15 2008-10-30 5 2008-10-31 16 2008-11-01 20 2008-11-02 20 2008-11-03 1 2008-11-04 11 2008-11-05 8 2008-11-06 11 2008-11-07 9 2008-11-08 6 2008-11-09 9 2008-11-10 5 2008-11-11 3 2008-11-12 5 2008-11-13 4 2008-11-14 5 2008-11-15 8 2008-11-16 8 2008-11-18 7 2008-11-19 6 2008-11-20 6 2008-11-21 2 2008-11-22 6 2008-11-23 11 2008-11-24 4 2008-11-25 2 2008-11-27 1 2008-11-28 5 2008-11-29 3 2008-11-30 6 2008-12-01 4 2008-12-02 5 2008-12-03 4 2008-12-04 5 2008-12-05 2 2008-12-06 2 2008-12-08 5 2008-12-09 5 2008-12-10 6 2008-12-11 3 2008-12-12 7 2008-12-13 10 2008-12-14 6 2008-12-18 1 2008-12-22 1 2008-12-23 1 2008-12-24 1 2008-12-25 1 2008-12-26 1 2008-12-27 1 2008-12-28 1 2008-12-29 2 2008-12-30 1 2009-01-01 1 2009-01-02 2 2009-01-03 1 2009-01-04 2 2009-01-06 5 2009-01-07 1 2009-01-08 2 2009-01-09 4 2009-01-10 6 2009-01-11 16 2009-01-12 3 2009-01-13 24 2009-01-14 20 2009-01-15 13 2009-01-16 13 2009-01-17 14 2009-01-18 22 2009-01-19 5 2009-01-20 25 2009-01-21 29 2009-01-22 25 2009-01-23 29 2009-01-24 27 2009-01-25 30 2009-01-26 12 2009-01-27 17 2009-01-28 16 2009-01-29 18 2009-01-30 23 2009-01-31 18 2009-02-01 10 2009-02-02 6 2009-02-03 5 2009-02-04 12 2009-02-05 5 2009-02-06 2 2009-02-07 6 2009-02-08 19 2009-02-09 11 2009-02-10 16 2009-02-11 18 2009-02-12 17 2009-02-13 22 2009-02-14 22 2009-02-15 28 2009-02-16 11 2009-02-17 20 2009-02-18 20 2009-02-19 12 2009-02-20 22 2009-02-21 18 2009-02-22 26 2009-02-23 6 2009-02-24 17 2009-02-25 20 2009-02-26 3 2009-02-27 8 2009-02-28 7 2009-03-01 18 2009-03-02 1 2009-03-03 10 2009-03-04 11 2009-03-05 14 2009-03-06 18 2009-03-07 15 2009-03-08 22 2009-03-09 9 2009-03-10 12 2009-03-11 14 2009-03-12 13 2009-03-13 14 2009-03-14 12 2009-03-15 18 2009-03-16 4 2009-03-17 2 2009-03-19 1 2009-03-21 1 2009-03-22 3 2009-03-24 2 2009-03-25 2 2009-03-26 3 2009-03-27 4 2009-03-28 5 2009-03-29 6 2009-03-30 2 2009-03-31 2 2009-04-01 4 2009-04-02 3 2009-04-03 3 2009-04-04 2 2009-04-05 3 2009-04-06 1 2009-04-07 3 2009-04-08 2 2009-04-09 1 2009-04-10 1 2009-04-11 2 2009-04-23 1 2009-10-01 1 2009-10-02 1 Respondent's ID 5470 0 Respondent's date of birth 5470 1899-07-01 1990-09-05 Respondent's Sex Respondent 1.0 Identification Information and Consent 1.5 Respondent's sex (F=Female;M=Male) All DSS Residents 50 years and above 5470 0 Sex of the Respondent 1 Female 2452 2 Male 3018 Room ID 5470 0 Start Time 5470 1900-01-01 1900-01-01 1900-01-01 5470 Respondent consent to participate? 5470 0 1 Yes 5470 2 No 0 5 Missing 0 9 NA 0 Respondent signed 5470 0 0 Refuses to sign 335 1 Signs 4168 2 Willing but unable 966 5 Missing 1 Final result of Interview 5470 0 1 Complete 5455 2 No Competent respondent 9 4 Refused 5 9 1 Field Supervisor's Code 5470 0 95 1 AC 1 DH 290 DJ 1 DL 1 DN 1 DV 279 EA 1098 ES 1 IG 1863 II 344 IT 3 IV 1 KS 1 MZ 52 QV 51 QY 5 SM 2 TT 1 WA 1 WD 1384 WF 5 ag 1 dh 1 dv 19 ea 11 ig 19 ii 18 iv 1 qv 4 wd 10 Data Entry Code 5470 0 99 2 A1 1051 AC 488 AI 1 AT 2 CO 30 EQ 33 JN 170 KE 29 KU 81 M2 1181 MA 27 MW 2 P2 834 PL 1 SQ 842 W2 612 ac 81 ai 2 sq 1 Respondent sampled for CVD? 5470 0 1 Sampled in CVD 5190 2 Not Sampled in CVD 280 2.1-currently married Respondent 2.1 Are you currently married or living with a man/woman? (Y=YES; N=NO) (IF NO, SKIP TO 2.3) All DSS Residents of 50 years and above 5470 0 Currently in Union 0 No 0 1 Yes 674 2 2890 3 77 4 233 5 1596 Marital status in survey 1 Respondent 2.1a MARITAL STATUS IN PANEL SURVEY 1 (N=NEVER MARRIED;W=WIDOWED;D=DIVORCED;M=MARRIED/LIVING WITH A PARTNER; S=SEPARATED) All DSS Residents 50 years and above 5470 0 Marital status in Panel Survey 1 0 No 0 1 Yes 61 2 934 3 38 4 86 5 272 9 4079 Still in previous marital status? Respondent 2.1b CHECK 2.1a: Are you still (MARITAL STATUS IN 2.1a) (YES...1;NO...2); IF 2 SKIP TO 2.17 All DSS Residents 50 years and above 5470 0 Still in Marital status reported in Panel survey 1 1 Yes 1326 2 No 53 5 Missing 0 7 Refused 0 9 NA 4091 Do you still have the same partner? Respondent Check 2.1a; IF "M" ASK 2.1C ELSE SKIP TO 2.19 2.1c Is it still the same partner as in Round 1? (YES...1;NO...2) All DSS Residents 50 years and above 5470 0 Still with the same Partner reported in Panel Survey 1 1 Yes 864 2 No 2 5 Missing 0 7 Refused 0 9 NA 4604 2.7-husbor partner usually live in household Respondent Details abotu current/most recent spouse for women currently married/living together Does your husband/partner usually live in this household? (Y=YES; N=NO) [IF YES SKIP TO 2.9] All female DSS Residents 50 years and above who are currently married 5470 0 Husband/Partner lives in Household 0 No 0 1 Yes 2114 2 774 5 1 9 2581 2.8oth-place of residence for husband or partner Respondent 2.8 Where does he/partner live? 0=Within the same HH; 1=Within the same DSA slum; 2=Other DSA Slum; 3=Non-DSA Nairobi slum; 4=Nairobi non-slum'5=Other urban in Kenya; 6=Rural Kenya; 7=Outside Kenya; 8=Dont know All female DSS Residents 50 years and above who are currently married 5470 0 Where Husband/Male Partner stays 0 within same HH 0 1 within same DSA slum 7 2 other DSA slum 3 3 non-DSA nairobi slum 4 4 nairobi non-slum 4 5 other urban in kenya 14 6 rural kenya 739 7 outside Kenya 2 8 Don’t know 0 9 4696 95 1 97 refused 0 99 missing 0 Current marital status? Respondent 2.17 What is your current marital status? (N=NEVER MARRIED;W=WIDOWED;D=DIVORCED;M=MARRIED/LIVING WITH A PARTNER;S=SEPARATED) All DSS Residents 50 years and above 5470 0 Current Marital Status 0 No 0 1 Yes 1 2 16 3 4 4 8 5 28 9 5413 When did your marital status changed? Respondent 2.18 When did your marital status chnage? (DD/MM/YYY) IF RESPONDENT REMARRIED, ASK DATE OF MARRIAGE, IF DIVORCED/SEPARATED ASK FOR DATE OF END OF MARRIAGE, IF WIDOWED, ASK FOR DATE OF SPOUSE'S DEATH, IF DAY OR MONTH IS UNKNOWN ENTER "98" All DSS Residents 50 years and above 5469 1979-07-07 9999-01-01 Date of change in Marital Status 1979-07-07 1 1987-01-01 1 1987-07-01 1 1988-05-19 1 1995-05-01 1 1997-02-15 1 2002-12-12 1 2003-10-01 1 2006-01-01 1 2006-02-19 1 2006-12-01 1 2007-01-01 1 2007-04-01 1 2007-05-09 1 2007-07-01 2 2007-11-05 1 2007-11-06 1 2007-12-12 1 2008-02-02 1 2008-02-19 1 2008-05-03 1 2008-05-21 1 2200-01-01 1298 9999-01-01 4148 Do you live with anyone else? Respondent 2.19 Do you live with anyone else in this household? YES...1; NO...2 All DSS Residents 50 years and above 5469 1 Live with anybody else in this household 1 Yes 2737 2 No 1338 5 Missing 1 7 Refused 0 9 NA 1393 Sysmiss 1 Have you ever been to school? Respondent 2.20 Have you ever been to school? IF NO, SKIP TO 3.0; (YES...1; NO...2) All DSS Residents 50 years and above 5469 1 Ever been to school 1 Yes 4726 2 No 743 5 Missing 0 7 Refused 0 9 NA 0 Sysmiss 1 Highest level of education completed Respondent 2.21 What is the highest level of education that you have completed? Less than primary school...01; Primary school...02; Secondary/High school...03; College/Pre-University/University...04; Post graduate degree...05 All DSS Residents 50 years and above 5469 1 Highest completed level of education 1 Less than primary school 1316 2 Primary school 2249 3 Secondary school 1040 4 College/University 120 5 Post graduate degree 0 9 3 95 Missing 1 99 NA 740 Sysmiss 1 3.21-relationship with person proving physical assistance Respondent 3.21 In the last 12 months, who normally provided the most assistance to you with work around the house such as cooking, cleaning, collecting water and so on? RECORD RELATIONSHIP TO RESPONDENT (CODE SHEET A4) All DSS Residents 50 years and above 5469 0 Respondent relationship with physical assistant 995 1 999 4083 BRO 2 CHD 292 COU 2 DIL 3 GCH 35 HUS 2 NEP 2 NIE 1 NON 11 NRL 19 SIS 4 SLF 639 SRV 1 WIF 371 wif 1 Where does person who offer most assistance live? Respondent 3.21a FW: IF RESPONSE IN 3.21 IS NO ONSE/SELF, SKIP TO 3.22, ELSE ASK: Where does the person mentioned (in 3.21) live? [CODE SHEET A2] All DSS Residents 50 years and above 5469 1 Where the assistant stays 0 Same HH 646 1 Same DSA slum 83 2 Other DSA slum 0 3 Non-DSA Nairobi slum 1 4 Nairobi non-slum 1 5 Other Urban in Kenya 0 6 Rural Kenya 1 7 Outside Kenya 0 8 Dont Know 0 9 4735 95 2 Sysmiss 1 3.22-require assistance movement outside community Respondent 3.22 In the last 12 months, did you usually require assistance to get somewhere outside the community for example going to town, to the market etc? YES...1; NO...2 SKIP TO 3.24 All DSS Residents 50 years and above 5469 1 Respondent required assistance to move outside the community 0 No 0 1 Yes 40 2 1344 9 4085 Sysmiss 1 The person assissting with movement outside community Respondent 3.23 In the last 12 months, suppose you wanted to go somewhere outside the community, who normally assisted you or accompanied you to place outside the community? RECORD RELATIONSHIP TO RESPONDENT (CODE SHEET A) All DSS Residents 50 years and above 5469 0 Respondent relation to person assisting in movement outside community 999 5428 BRO 2 CHD 19 GCH 6 HUS 1 NEP 1 NON 1 NRL 3 SLF 3 WIF 5 3.24-receive assistance or support from other relatives Respondent 3.24 In the last 12 months, did you receive any kind of assistance or support from any of your relatives(other than children)? All DSS Residents 50 years and above 5469 1 Assistance from other relatives 0 No 0 1 Yes 93 2 1290 5 1 9 4085 Sysmiss 1 District of origin Respondent 4.1a PLACE OF ORIGIN MENTIONED IN SURVEY 1 District: All DSS Residents 50 years and above 5469 0 District of Origin 95 2 98 1 99 4086 BENYORE 1 BILSHA 1 BOMET 2 BONDO 8 BUNGOMA 6 BUSIA 25 BUTERE 7 BUTERE MUMIAS 13 BUTERE-MUMIAS 4 BUTERE/MUMIAS 4 DAGORETTI 1 DEDERU 2 DISTRICT 1 DK 5 DON'T KNOW 1 ELDORET 1 ELWAK 1 EMBU 7 GARISSA 6 GATANGA 1 GATUNDO 1 GATUNDU 6 GATUNDU NORTH 2 GIKONDI 1 GILGIL 1 GITHUNGURI 3 GUCHA 5 HOMA BAY 1 HOMABAY 7 ISIOLO 22 KACHONYO 1 KADHIANI 1 KAGEMA 1 KAITI 1 KAJIADO 4 KAKAMEGA 38 KAKMEGA 1 KANDARA 2 KANGEMA 1 KANGIMA 1 KANGUNDO 6 KARATINA 4 KASARANI 1 KATI 1 KEGATI 1 KERICHO 2 KERUGOYA 1 KIAMBU 112 KIBWEZI 2 KIGUMO 2 KIHARO 2 KIJABE 1 KIKUYU 2 KILIFI 1 KIMILILI 1 KINANGOP 1 KIRINYAGA 6 KISII 6 KISII CENTRAL 3 KISII-CENTRAL 1 KISUMU 16 KISUMU RURAL 1 KITALE 1 KITUI 35 KITUI/CHULUNI 1 KITUTU CHACHE 1 KOWASINYAGA 1 KURIA 2 KWIMBA 1 LAIKIPIA 3 LAMU 2 LARI 1 LIMULU 1 LIMURU 3 M URANGA 1 MACHAKO 1 MACHAKOES 5 MACHAKOS 80 MADERA 1 MAJIMAKI 1 MAKAGUA 1 MAKINDU 1 MAKUENI 63 MANDERA 60 MANDERAL 1 MARAGOLI 1 MARAGUA 21 MARAGWA 24 MARSABIT 11 MASIKU 1 MASO 1 MATHIOYA 3 MBALE 1 MBEERE 2 MBIUNI 1 MBOONI 2 MERU 6 MERU CENTRAL 1 MIGORI 11 MISSING 1 MOMBASA 2 MOYALE 63 MUARANGA 1 MUKUENI 1 MUMIAS 7 MUMIAS-BUTERE 1 MURAGUA 1 MURAMGA 1 MURANGA 187 MURANGA SOUTH 1 MWALA 2 MWINGI 14 NAIROBI 33 NAIVASHA 2 NAKURU 16 NAMANGA 1 NAOROBI 1 NARSABIT 1 NGONG 2 NJORO 1 NORDOR 1 NYAHURURU 6 NYAMIRA 1 NYANDA 1 NYANDARUA 8 NYANDO 8 NYERI 83 OLOITOKTOK 1 OTHAYA 2 RACHUONYO 2 RUNDA 1 SHINYANGA 1 SIAYA 87 SOUTH NYANZA 1 SUBUKIA 1 TABOLA 1 TAITA TAVETA 2 TESO 1 THIKA 41 UASIN GISHU 2 UGUNJA 2 UPLANDS 1 VIEGAS 1 VIHIGA 50 VIHIGAAA 1 VUMASKE 1 WAJIR 7 YATHUI 1 YATTA 3 Province of origin Respondent 4.1a PLACE OF ORIGIN MENTIONED IN SURVEY 1 Province: All DSS Residents 50 years and above 5469 0 Province of Origin 2008 1 95 2 98 1 99 4086 BEMUNYERERO 1 CENTRAL 527 CENTRAL PROVINCE 3 CENTRL 1 CETRAL 3 COAST 3 COASTAL 3 DK 5 EASTERN 267 EATERN 2 KAKAMEGA 1 KIAMBU 1 KISUMU 1 MACHAKOS 1 MISSING 1 MOROGORO 1 MURANGA 1 MWANZA 1 N EASTERN 14 N. EASTERN 5 N. EASTERN. 1 N.EAETERN 1 N.EASTERN 11 N.ITALY 1 N/EASTERN 2 N/EASTRN 1 NAIROBI 37 NORHT EASTERN 1 NORTH EASTERN 106 NYANZA 156 NYANZO 1 NYERI 1 R VALLEY 4 R. VALLEY 2 R.VALLEY 8 RIFT VALLEY 25 RIFTVALLEY 6 SHINYANGA 1 SLF 1 SOUTH NYANZA 1 THIKA 1 WESTERN 167 WESTERN PROVINCE 1 WETERN 1 The month Last visited your place of origin Respondent 4.3 When was the last time you visited your place of origin? MONTH IF ANSWER IS NEVER RECORD 88 IN MONTH AND 8888 IN YEAR AND SKIP TO 4.5. IF RESPONDENT LAST VISITED PLACE OF ORIGIN MORE THAN 12 MONTHS AGO SKIP TO 4.5 All DSS Residents 50 years and above 5469 1 Month when you last visited your place of origin 1 87 2 59 3 107 4 142 5 136 6 165 7 106 8 80 9 29 10 23 11 28 12 128 88 Never 211 95 missing 1 97 Refused 1 98 Dont Know 76 99 NA 4090 Sysmiss 1 The year Last visited your place of origin Respondent 4.3 When was the last time you visited your place of origin? YEAR IF ANSWER IS NEVER RECORD 88 IN MONTH AND 8888 IN YEAR AND SKIP TO 4.5. IF RESPONDENT LAST VISITED PLACE OF ORIGIN MORE THAN 12 MONTHS AGO SKIP TO 4.5 All DSS Residents 50 years and above 5469 1 Year when you last visited your place of origin 888 Never 0 995 Missing 0 997 Refused 0 998 Dont Know 0 999 NA 0 1973 1 1979 1 1980 1 1982 1 1983 1 1991 1 1992 3 1994 1 1995 1 1996 2 1997 2 1998 4 1999 1 2000 4 2001 8 2002 5 2003 6 2004 10 2005 32 2006 69 2007 298 2008 698 2009 19 8888 209 9995 1 9999 4090 Sysmiss 1 4.4-no of times visited place of origin last 12mths Respondent 4.4 In the last 12 months, how many times have you visited your place of origin? All DSS Residents 50 years and above 5469 1 Number of visits to place of origin, In last 12 months 0 2 1 243 2 227 3 132 4 80 5 37 6 36 7 6 8 17 9 5 10 30 11 2 12 75 14 4 20 2 24 12 36 3 40 1 48 3 52 1 95 missing 15 97 refused 0 98 don’t know 1 99 missing 4535 Sysmiss 1 Month you had visitors from place of origin Respondent 4.5 When was the last time you had visitors from your place of origin? MONTH IF ANSWER IS NEVER RECORD 88 IN MONTH AND 8888 IN YEAR AND SKIP TO 4.7 All DSS Residents 50 years and above 5469 1 1 74 2 78 3 103 4 135 5 116 6 124 7 64 8 48 9 21 10 14 11 23 12 42 88 Never 499 95 missing 0 97 Refused 0 98 Dont Know 39 99 NA 4089 Sysmiss 1 Year you had visitors from place of origin Respondent 4.5 When was the last time you had visitors from your place of origin? YEAR IF ANSWER IS NEVER RECORD 88 IN MONTH AND 8888 IN YEAR AND SKIP TO 4.7 All DSS Residents 50 years and above 5469 1 888 Never 0 995 Missing 0 997 Refused 0 998 Dont Know 0 999 NA 0 1998 1 2000 3 2001 1 2002 3 2003 3 2004 3 2005 9 2006 41 2007 214 2008 582 2009 19 8888 500 9998 1 9999 4089 Sysmiss 1 4.6-no of times receive visitors from place of origin last 12mths Respondent 4.6 In the last 12 months, how many times have you had visitors from your place of origin? All DSS Residents 50 years and above 5469 1 Frequency of visits from visitors from place of origin 0 2 1 237 2 158 3 142 4 60 5 36 6 33 7 6 8 11 9 3 10 18 12 13 15 1 20 2 24 1 36 1 95 12 97 refused 0 98 don’t know 0 99 missing 4733 Sysmiss 1 4.10-intend settling outside DSA Respondent 4.10 Do you intend to move away from Korogocho/viwandani any time in the future? (Y=YES;N=NO;IF YES SKIP TO 4.12) All DSS Residents 50 years and above 5469 1 Intention to migration out of Korogocho/Viwandani 0 No 0 1 Yes 154 2 1230 9 4085 Sysmiss 1 4.11-most important reason why don't intend to resettle Respondent 4.11 What is the most important reason why you don't intend to move away from Korogocho/Viwandani? Has no land anywhere else...1; Has no house anywhere else...2; Family disputes/Other disputes are origin...3; Dispossessed of land ownership...4; Has property in Nairobi...5; Has family/social networks in Nairobi...6; Lack finances to migrate back...7; Conflict of culture e.g. intermarriage...8; Living condition is better here...10; Rent is affordable/cheap...11; Get used to the area...12; Convenient to me/my family members work place...16; Have no other choice...17; Other(Specify)...18 CIRCLE ONLY ONE RESPONSE; [skip to section 5.0] All DSS Residents 50 years and above 5469 1 Most Important reason for not migrating out of Korogocho/Viwandani 1 no land anywhere 99 2 no house anywhere 69 3 family other disputes 14 4 dispossessed land 13 5 property in nairobi 166 6 nairobi family or networks 40 7 lack move finances 85 8 culture custom Conflicts 0 10 better living conditions 88 11 affordable rent 168 12 get used to the areas 218 13 convenient for self/family 0 14 have no choice 0 15 other 0 16 205 17 64 95 missing 0 96 1 99 4239 Sysmiss 1 Other reason not intending to move Respondent 4.11 What is the most important reason why you don't intend to move away from Korogocho/Viwandani? All DSS Residents 50 years and above 5469 0 Other Most Important reason for not migrating out of Korogocho/Viwandani (not listed in options provided) 99 5468 HAS NOT RETIRED 1 4.12-type of place where intends resettling Respondent 4.12 Where do you intend to move to? Place of origin/Place of birth...1; Another rural place in Kenya...2; Another urban place in Kenya...3; Another slum in Nairobi...4; Non-slum in Nairobi...5; Outside Kenya...6; Dont know/Unsure of where to go...7 CIRCLE ONLY ONE RESPONSE All DSS Residents 50 years and above 5469 1 Destination after Migration from Korogocho/Viwandani 1 origin or birth place 103 2 rural kenya 28 3 other urban 6 4 other nairobi slum 5 5 nonslum Nairobi 4 6 Outside Kenya 0 7 Don’t know Unsure 0 9 1 95 1 98 4 99 5317 Sysmiss 1 Duration from now you intend to move(units) Respondent 4.13 How long from now do you intend to move away from Korogocho or Viwandani? UNIT; W=WEEKS;M=MONTHS;Y=YEARS;D=DONT KNOW USE ONE UNIT ONLY All DSS Residents 50 years and above 5470 0 Duration to moving out of Korogocho/Viwandani 0 NA 5324 1 Weeks 6 2 Months 7 3 Years 81 5 Missing 0 8 Dont Know 52 9 NA 0 Duration from now you intend to move(no. of units) Respondent 4.13 How long from now do you intend to move away from Korogocho or Viwandani? Number of Units All DSS Residents 50 years and above 5468 2 Duration to moving out of Korogocho/Viwandani 0 9 1 22 2 16 3 15 4 12 5 6 6 16 7 1 8 2 10 1 88 Never 0 95 missing 8 97 Refused 0 98 Dont Know 18 99 NA 5342 Sysmiss 2 5.1-currently working or doing IGA Respondent 5.0 WORK HISTORY AND BENEFITS. Now I would like to ask you some questions about any work that you may be doing now or have done in the past. (Y=YES;N=NO;IF YES SKIP TO 5.6) All DSS Residents 50 years and above 5469 1 Currently working 0 No 0 1 Yes 4662 2 807 Sysmiss 1 Last engaged in IGA-units Respondent 5.3 When was the last time you were engaged in any work or an income generating activity? (Y=YEARS;M=MONTHS;W=WEEKS) IF NEVER WORKED, CIRCLE 88 AND SKIP TO 5.16 RECORD IN ONE UNIT All DSS Residents 50 years and above 5470 0 Last time engaged in any work or income-generating activity 0 NA 5075 1 Weeks 9 2 Months 67 3 Years 318 5 Missing 1 8 Dont Know 0 9 NA 0 Last engaged in IGA-no. of units Respondent Number of Units; IF NEVER WORKED, CIRCLE 88 AND SKIP TO 5.16 5.3 When was the last time you were engaged in any work or an income generating activity? All DSS Residents 50 years and above 5469 1 Last time engaged in any work or income-generating activity 1 80 2 52 3 38 4 39 5 54 6 24 7 14 8 9 9 7 10 25 11 6 12 3 13 2 14 3 15 12 17 2 18 2 20 9 21 1 24 2 25 2 27 1 28 1 30 5 47 1 68 1 88 Never 412 95 missing 0 97 Refused 0 98 Dont Know 0 99 NA 4662 Sysmiss 1 5.7-type of current or most recent work Respondent Unestablished own business...1; Established own business...2; Informal casual...3; Informal salaried...4; Formal salaried...5; Formal casual...6; Rural agriculture...7; Urban agriculture...8; Other(Specify)...9 CIRCLE ONLY ONE RESPONSE All DSS Residents 50 years and above 5469 1 Current work activity 1 unest own business 206 2 est own business 16 3 informal casual 77 4 informal salaried 32 5 formal slaried 29 6 formal casual 22 7 rural agriculture 8 8 urban agriculture 2 9 other 0 95 missing 3 96 1 97 refused 0 98 don’t know 0 99 missing 5073 Sysmiss 1 Other specified main occupation 5469 0 99 5468 CANNOT WALK AT ALL AT NOW 1 What is current main occupation Respondent CIRCLE ONLY ONE RESPONSE THEN SKIP TO 5.16 All DSS Residents 50 years and above 5469 1 Main occupation at most recent work 1 Informal own business 2009 2 Formal own business 297 3 Informal casual 1119 4 Informal salaried 384 5 Formal salaried 463 6 Formal casual 359 7 Rural agriculture 7 8 Urban agriculture 18 95 Missing 0 96 Other 6 99 NA 807 Sysmiss 1 Specified current main occupation Respondent All DSS Residents 50 years and above 5469 0 Name of other most recent main occupation (Not listed in provided options) (MISSIONARRY)OWNS A CHURCH 1 99 5463 RUNNING FAMILY BUSINESS 1 1 SHE IS A BEGGAR IN TOWN 1 VOLUNTEER 2 5.16-current main source of livelihood or income Respondent 5.16 What would you say is your main source of livelihood currently? Own and spouse's work...1; Own savings/investments...2; Pension/retirement benefits...3; Support from children...4; Support from other relatives...5; Donations/welfare...6; Other...8 CIRCLE ONLY ONE RESPONSE All DSS Residents 50 years and above 5469 1 Current main source of livelihood 1 Own or spouse work 4038 2 own savings Investments 1002 3 pension retirement benefit 11 4 support frm children 319 5 support frm relatives 42 6 donations welfare 56 8 other 0 95 missing 1 97 refused 0 Sysmiss 1 Diagnosed with diabetes in survey 1 6.4.2k CHECK IF RESPONDENT HAD EVER BEEN DIAGNOSED WITH DIABETES IN SURVEY 1 (Y=YES;N=NO;K=NOT IN STUDY IF YES SKIP TO 6.4.2E) 5469 1 1 Yes 35 2 No 1351 3 4083 5 Missing 0 7 Refused 0 9 NA 0 Sysmiss 1 6.4.2a-diagnosed with diabetes or high blood sugar Respondent 6.4.2 Diabetes 6.4.2a Have you ever been diagnosed with diabetes(high blood sugar) (Not including diabetes associated with a pregnancy) (Y=YES;N=NO;IF NO SKIP TO 6.4.3) All DSS Residents 50 years and above 5469 1 Ever diagnosed with Diabetes 0 No 0 1 Yes 106 2 5363 Sysmiss 1 When were you diagnosed with diabetes? Respondent 6.4.2e When were you diagnosed with diabetes? MONTH YEAR; DONT KNOW...98 All DSS Residents 50 years and above 5469 0 Date when diagnosed with diabetes 01/1994 1 01/2008 3 01/2200 1 02/1997 2 02/2000 1 02/2002 1 02/2004 1 02/2005 1 02/2006 1 02/2007 2 02/2008 4 03/2003 1 03/2006 1 03/2008 3 04/2005 2 04/2006 1 04/2008 3 05/2005 1 05/2006 1 05/2007 2 05/2008 1 06/2008 1 07/2003 1 07/2007 1 07/2008 1 08/1997 1 08/2002 1 08/2006 1 08/2007 4 09/2006 1 09/2007 1 09/2008 1 10/2004 1 10/2005 1 10/2007 2 11/1999 1 11/2000 1 11/2001 1 11/2006 1 11/2007 3 12/1990 1 12/2006 3 12/2007 1 12/2008 1 88/2002 1 95/9995 1 98/1986 1 98/1988 1 98/1989 1 98/1998 1 98/1999 1 98/2000 1 98/2002 1 98/2003 3 98/2004 4 98/2006 3 98/2007 1 98/2008 1 98/9998 18 99/9999 5365 Duration with diabetes - units Respondent 6.4.2f For how long have you had diabetes (since the time you were diagnosed) ÜSE ONLY 1 UNIT All DSS Residents 50 years and above 5470 0 How long have you had diabetes (since official diagnosis) 0 NA 5453 1 Weeks 0 2 Months 2 3 Years 15 5 Missing 0 8 Dont Know 0 9 NA 0 Duration with diabetes -no. of units Respondent 6.4.2f For how long have you had diabetes (since the time you were diagnosed) Number of Units All DSS Residents 50 years and above 5469 1 How long have you had diabetes (since official diagnosis) 0 1 1 1 2 4 3 2 4 2 6 3 10 2 15 1 88 Never 0 95 missing 1 97 Refused 0 98 Dont Know 0 99 NA 5451 995 1 Sysmiss 1 6.4.2b-taking insulin or sugar lowering medications last 2 weeks Respondent 6.4.2b Have you been taking insulin or other blood sugar lowering medications in the last 2 weeks (Y=YES;N=NO) All DSS Residents 50 years and above ever diagnosed with Diabetes 5469 1 Insulin/blood sugar medication last 2 weeks 0 No 0 1 Yes 54 2 50 5 2 9 5363 Sysmiss 1 6.4.2c-taken insulin or sugar lowering medications last 12mths Respondent 6.4.2c Have you been taking insulin or other blood sugar lowering medications in the last 12 months? (Y=YES; N=NO) All DSS Residents 50 years and above 5469 1 Insulin or blood sugar medication last 12 months 0 No 0 1 Yes 75 2 30 5 1 9 5363 Sysmiss 1 6.4.2d-special diet or weight control last 2 weeks- diabetes Respondent 6.4.2d Are you following a special diet, exercise regime or weight control program for diabetes during the last 2 weeks? (As recommended by health professional) (Y=YES;N=NO) All DSS Residents 50 years and above 5469 1 Special diabetes control diet last 2 weeks 0 No 0 1 Yes 46 2 59 9 5364 Sysmiss 1 Diagnosed with Hypertension in survey 1 6.4.4 Hypertension (High blood pressure) 6.4.4k CHECK IF RESPONDENT HAD EVER BEEN DIAGNOSED WITH HYPERTENSION IN SUVEY 1 (y=yes;n=no;k=not in study; IF YES SKIP TO 6.4.4D) 5469 1 1 Yes 125 2 No 1263 3 4081 5 Missing 0 7 Refused 0 9 NA 0 Sysmiss 1 6.4.4a-diagnosed with high blood pressure or hypertension Respondent 6.4.4 Hypertension (High Blood Pressure) 6.4.4a Have you ever been diagnosed with high blood pressure(hypertension)? (Y=YES;N=NO;IF NO SKIP TO 6.5) All DSS Residents 50 years and above 5469 1 Ever diagnosed with High Blood Pressure 0 No 0 1 Yes 307 2 5162 Sysmiss 1 When diagnosed with high blood pressure? Respondent 6.4.4d When were you diagnosed with high blood pressure? MONTH... YEAR...; DONT KNOW...98 IF YEAR OR BOTH MONTH AND YEAR ARE UNKNOWN, CIRCLE 98. IF ONLY MONTH IS UNKNOWN FILL 98 IN FIRST TWO BOXES AND FILL IN THE YEAR. IF MONTH AND YEAR ARE KNOWN FILL THE BOXES AND SKIP TO 6.4.4B All DSS Residents 50 years and above 5469 0 When diagnosed with High Blood Pressure 01/01/2200 2 01/1994 1 01/2003 1 01/2006 1 01/2007 2 01/2008 4 01/2009 2 01/2200 1 02/1997 1 02/2002 2 02/2003 1 02/2005 1 02/2006 1 02/2007 7 02/2008 4 03/1997 1 03/2003 2 03/2005 1 03/2007 1 03/2008 7 04/1975 1 04/1998 1 04/2001 1 04/2002 1 04/2004 1 04/2005 2 04/2006 4 04/2007 4 04/2008 12 05/07/08 1 05/1999 1 05/2000 1 05/2001 1 05/2006 4 05/2007 7 05/2008 4 06/1998 2 06/2002 1 06/2005 1 06/2006 1 06/2007 5 06/2008 7 07/2006 2 07/2007 3 07/2008 2 08/2000 2 08/2005 2 08/2006 2 08/2007 6 08/2008 5 09/1997 1 09/2001 1 09/2007 4 09/2008 4 10/1999 1 10/2000 1 10/2004 2 10/2006 2 10/2007 5 10/2008 1 11/2007 5 11/2008 1 12/1990 1 12/2005 1 12/2006 2 12/2007 5 12/2008 1 21/05/2003 1 26/12/2008 1 88/1984 1 88/2003 1 88/2007 1 9 1 95/995 2 95/9995 1 98 32 98/1975 1 98/1986 1 98/1987 1 98/1989 2 98/1990 1 98/1991 1 98/1993 2 98/1995 1 98/1997 1 98/1998 4 98/1999 3 98/2000 1 98/2001 3 98/2002 3 98/2003 7 98/2004 10 98/2005 14 98/2006 15 98/2007 13 98/2008 2 98/9898 1 99 5161 99/9999 10 995 2 Duration of high BP, year/months/weeks Respondent 6.4.4e For how long have you had high BP (since the time you were diagnosed) UNIT; (Y=YEARS,M=MONTHS,W=WEEKS) USE ONLY 1 UNIT All DSS Residents 50 years and above 5470 0 Time duration for which respondent has had high BP 0 NA 5437 1 Weeks 0 2 Months 1 3 Years 32 5 Missing 0 8 Dont Know 0 9 NA 0 Duration of high BP, number of units 6.4.4e For how long have you had high BP (since the time you were diagnosed) Number of Units Respondent 5469 1 Time duration for which respondent has had high BP 0 1 1 3 2 5 3 5 4 3 5 2 6 3 7 2 9 1 10 1 11 1 15 1 22 1 40 1 88 Never 0 95 missing 2 97 Refused 0 98 Dont Know 2 99 NA 5435 Sysmiss 1 6.4.4b-take medications or treatment last 2 weeks - HBP Respondent 6.4.4b Have you been taking medications or other treatment for it during the last 2 weeks? (Y=YES;N=NO) All DSS Residents 50 years and above 5469 1 High Blood pressure medications last 2 weeks 0 No 0 1 Yes 108 2 199 9 5162 Sysmiss 1 6.4.4c-take medications or treatment last 12mths - HBP Respondent 6.4.4c Have you been taking medications or other treatment for it during the last 12 months? (Y=YES; N=NO) All DSS Residents 50 years and above 5469 1 High Blood Pressure medications in last 2 weeks 0 No 0 1 Yes 163 2 144 9 5162 Sysmiss 1 Have you ever been told by a health professional that you have had a stroke? Respondent 6.4.5 Stroke 6.4.5a Have you ever been told by a health professional that you have had a stroke? (Y=YES; N=NO; IF NO SKIP TO 6.4.5D) All DSS Residents 50 years and above 5469 1 Ever diagnosed with stroke 0 No 0 1 Yes 9 2 Never Walks 5459 5 1 8 Dont Know 0 9 NA 0 Sysmiss 1 When were you diagnosed with stroke? Respondent 6.4.5f When were you diagnosed with stroke? MONTH... YEAR...; DONT KNOW ...98 All DSS Residents 50 years and above 5469 0 When diagnosed with stroke 01/2005 1 02/2002 1 02/2007 1 05/2007 1 06/2005 1 06/2007 1 08/1998 1 09/2007 1 9995 1 9999 5460 Duration of stroke, year/months/weeks Respondent 6.4.5g For how long have you had a stroke (since the time you were diagnosed)? UNIT; (Y=YEARS;M=MONTHS;W=WEEKS) USE ONLY 1 UNIT All DSS Residents 50 years and above 5470 0 Time duration for which respondent has suffered from stroke 0 NA 5465 1 Weeks 0 2 Months 0 3 Years 0 5 Missing 0 8 Dont Know 0 9 NA 5 Duration of stroke, number of units Respondent 6.4.5g For how long have you had a stroke (since the time you were diagnosed)? No of Units All DSS Residents 50 years and above 5469 1 Time duration for which respondent has suffered from stroke 88 Never 0 95 missing 0 97 Refused 0 98 Dont Know 0 99 NA 5469 Sysmiss 1 Have you been taking any medications for stroke during the last 2 weeks Respondent 6.4.5b Have you been taking medications or other treatment for stroke during the last 2 weeks? (Y=YES; N=NO) All DSS Residents 50 years and above 5469 1 Stroke medications last 2 weeks 0 No 0 1 Yes 4 2 Never Walks 4 5 1 8 Dont Know 0 9 NA 5460 Sysmiss 1 Have you been taking any medications for stroke during the last 12 months Respondent 6.4.5c Have you been taking any medications or other treatment for stroke during the last 12 months (Y=YES; N=NO) All DSS Residents 50 years and above 5469 1 Stroke medications last 12 months 0 No 0 1 Yes 6 2 Never Walks 2 5 1 8 Dont Know 0 9 NA 5460 Sysmiss 1 Have you ever suffered from sudden onset of paralysis or weakness in your arms o Respondent 6.4.5d Have you ever suffered from sudden onset of paralysis or weakness in your arms or legs on one side of your body for more than 24 hours? (Y=YES;N=NO) All DSS Residents 50 years and above 5469 1 Suddent onset of Arm or leg paralysis for more than 24 hours 0 No 0 1 Yes 34 2 Never Walks 5434 5 1 8 Dont Know 0 9 NA 0 Sysmiss 1 Have you ever had, for more than 24 hours, sudden onset of loss of feeling on on Respondent 6.4.5e Have you ever had, for more than 24 hours, sudden onset of loss of feeling on one side of your body without anything having happened to you immediatley before? (Y=YES; N=NO) All DSS Residents 50 years and above 5469 1 Suddent onset of loss of feeling without obvious immediate cause 0 No 0 1 Yes 33 2 Never Walks 5434 5 1 8 Dont Know 0 9 NA 0 95 1 Sysmiss 1 Have you ever been diagnosed with angina or angina pectoris (a heart disease)? Respondent 6.4.6 Angina 6.4.6a Have you ever been diagnosed with angina or angina pectoris (a heart disease)? (Y=YES; N=NO; IF NO SKIP TO 6.4.6D) All DSS Residents 50 years and above 5469 1 Ever diagnosed with angina or angina pectoris 0 No 0 1 Yes 10 2 Never Walks 5458 5 1 8 Dont Know 0 9 NA 0 Sysmiss 1 When were you diagnosed with Angina? Respondent 6.4.6j When were you diagnosed with angina? MONTH...YEAR...;DONT KNOW...98 All DSS Residents 50 years and above 5469 0 Month/Year when diagnosed with angina 01/2008 1 02/2003 1 03/2007 1 05/1990 1 09/2000 1 98 1 98/1998 2 98/2007 1 99 5460 Duration of angina, year/months/weeks Respondent For how long have you had angina (since the time you were diagnosed)? (Y=YEARS; M=MONTHS; W=WEEKS) USE ONLY 1 UNIT All DSS Residents 50 years and above 5470 0 Time duration over which respondent has suffered from Angina 0 NA 5461 1 Weeks 0 2 Months 0 3 Years 1 5 Missing 0 8 Dont Know 0 9 NA 8 Duration of angina, number of units Respondent For how long have you had angina (since the time you were diagnosed)? Number of Units All DSS Residents 50 years and above 5469 1 Time duration over which respondent has suffered from Angina 2 1 88 Never 0 95 missing 0 97 Refused 0 98 Dont Know 0 99 NA 5468 Sysmiss 1 Have you been taking any medications or other treatment for it in the last 2 wee Respondent 6.4.6b Have you been taking any medications or other treatment for it in the last 2 weeks? (Y=YES; N=NO) All DSS Residents 50 years and above 5469 1 Angina medications last 2 Weeks 0 No 0 1 Yes 5 2 Never Walks 6 8 Dont Know 0 9 NA 5458 Sysmiss 1 Have you been taking any medications or other treatment for it in the last 12 mo Respondent 6.4.6c Have you been taking medications or other treatment for it in the last 12 months? (Y=YES;N=NO) All DSS Residents 50 years and above 5469 1 Angina medications last 12 months 0 No 0 1 Yes 7 2 Never Walks 4 8 Dont Know 0 9 NA 5458 Sysmiss 1 During the last 12 months, have you experienced any pain walking uphill Respondent 6.4.6d During the last 12 months, have you experienced any pain or discomfort in your chest when you walk uphill or hurry? (Y=YES; N=NO;K=NEVER WALKS UPHILL OR HURRIES) All DSS Residents 50 years and above 5469 1 Chest pain in last 12 months during uphill walk 0 No 0 1 Yes 717 2 Never Walks 4702 3 49 8 Dont Know 0 9 NA 1 Sysmiss 1 During the last 12 months, have you experienced any pain walking ordinary Respondent 6.4.6e During the last 12 months, have you experienced any pain or discomfort in your chest when you walk at an ordinary pace on level ground? (Y=YES;N=NO;IF NO SKIP TO 6.4.7) All DSS Residents 50 years and above 5469 1 Chest pain in last 12 months during ordinary pace walk 0 No 0 1 Yes 306 2 Never Walks 5163 8 Dont Know 0 9 NA 0 Sysmiss 1 What do you do if you get the pain or discomfort when you are walking? Respondent 6.4.6f What do you do if you get the pain or discomfort when you are walking 1...Stop or slow down; 2...Carry on after taking a pain relieving medicine that dissolves in your mouth; 3... Carry on walking READ CHOICES All DSS Residents 50 years and above 5469 1 Action taken to deal with chest pain 1 Stop or slow down 295 2 Carry on after taking a pain relieving medicine 4 3 Carry on walking 6 5 1 9 5163 Sysmiss 1 If you stand still, what happens to the pain or discomfort? Respondent 6.4.6g If you stand still, what happens to the pain or discomfort? 1...Pain is relieved; 2...Pain is not relieved READ CHOICES All DSS Residents 50 years and above 5469 1 Effect of standing still on Angina pain/discomfort 1 pain is relieved 294 2 Pain is not relieved 11 9 5164 Sysmiss 1 Experience pain on upper/middle chest? Respondent 6.4.6h Will you show me where you usually experience the pain or discomfort? A Upper or middle chest (Y=1;N=2) RECORD ALL AREAS OF BODY MENTIONED All DSS Residents 50 years and above 5469 1 Experience pain in upper or middle chest 1 Yes 266 2 No 39 5 Missing 0 7 Refused 0 9 NA 5164 Sysmiss 1 Experience pain on lower chest? Respondent 6.4.6h Will you show me where you usually experience the pain or discomfort? B Lower chest (Y=1;N=2) RECORD ALL AREAS OF BODY MENTIONED All DSS Residents 50 years and above 5469 1 Experience pain in Lower chest 1 Yes 79 2 No 226 5 Missing 0 7 Refused 0 9 NA 5164 Sysmiss 1 Experience pain on Left arm? Respondent 6.4.6h Will you show me where you usually experience the pain or discomfort? C Left arm (Y=1;N=2) RECORD ALL AREAS OF BODY MENTIONED All DSS Residents 50 years and above 5469 1 Experience pain in Left Arm 1 Yes 38 2 No 267 5 Missing 0 7 Refused 0 9 NA 5164 Sysmiss 1 Experience pain on any other body part, other1? Respondent 6.4.6h Will you show me where you usually experience the pain or discomfort? D Other (Y=1;N=2) RECORD ALL AREAS OF BODY MENTIONED All DSS Residents 50 years and above 5469 1 Experience pain in Other Body Part 1 Yes 58 2 No 247 5 Missing 0 7 Refused 0 9 NA 5164 Sysmiss 1 Experience pain on any other body part, other 2? Respondent 6.4.6h Will you show me where you usually experience the pain or discomfort? E Other (Y=1;N=2) RECORD ALL AREAS OF BODY MENTIONED All DSS Residents 50 years and above 5469 1 Experience pain in Other Body Part 1 Yes 18 2 No 287 5 Missing 0 7 Refused 0 9 NA 5164 Sysmiss 1 Part with pain specfied1 Respondent 6.4.6h Will you show me where you usually experience the pain or discomfort? D Other(specify) RECORD ALL AREAS OF BODY MENTIONED All DSS Residents 50 years and above 5469 0 Experience pain in upper or middle chest 2 1 9 5412 BACK BONE 2 BACKACHE 5 BACKAKE 1 BACKBONE 6 BACKBORN 1 BACKCHEST 1 BACKPAIN 1 BODY JOINTS 1 HANDS 1 HEAD 1 HEADACHE 1 JOINT ACHE 1 JOINTS 2 JOINTS OF HANDS 1 KIDNEY 1 LEG 1 LEG JOINTS ESPECIALLY LEFT LEG 1 LEGS 7 LEGS ACHE 2 LEGS ACHEING 1 LIMB JOINTS 2 LIMBS 1 LIMBS (JOINTS) 1 NECK BONE 1 PAIN IN LEGS 1 PAIN IN THE LEGS 1 PAINS ON THE RIGHT SIDE OF CHEST 1 RIGHT HAND 1 RIGHT LEG 1 SOLES OF THE FEET 1 STOMACH 2 STOMACH ACHE 1 UPPER PART OF THE BACK 1 WAIST 2 WHOLE BODY PARTS 1 Part with pain specfied2 Respondent 6.4.6h Will you show me where you usually experience the pain or discomfort? E Other(specify) RECORD ALL AREAS OF BODY MENTIONED All DSS Residents 50 years and above 5469 0 Experience pain in upper or middle chest 9 5451 BACHACHE 1 BACK (UPPER PART) 1 BREAST 1 HEADACHE 1 JOINTS 5 KIDNEY 1 KNEES 1 LEG 1 LEGS 1 LEGS,JOINTS 1 LOWER PART OF STOMACH 1 NASAL BLOCKAGE 1 PAIN IN THE LEGS 1 PROBLEM WITH HER LEGS 1 These symptoms that you have said you experienced in the last 12 months, have yo Respondent 6.4.6i These symptoms that you have said you experienced in the last 12 months, have you experienced them in last 2 weeks (Y=YES;N=NO) All DSS Residents 50 years and above 5469 1 Recurrence of Angina symptoms in last 2 weeks 0 No 0 1 Yes 252 2 Never Walks 53 8 Dont Know 0 9 NA 5164 Sysmiss 1 Any health problem in 12 minths Respondent CHECK QNS 6.4.2a, 6.4.2k,6.4.4a,6.4.4k,6.4.5a,6.4.5d,6.4.5e,6.4.6a,6.4.6e: IF ANSWER IS YES SKIP TO 6.5B, IF ALL ANSWERS ARE NO ASK: 6.5a Have you had any other health problem in the last 12 months YES...1>6.5;NO...2>7.0 FW: FIRST READ INSTRUCTIONS AFTER QN 6.4.6I THEN All DSS Residents 50 years and above 5469 1 Any health problem last 6 months 1 Yes 1104 2 No 410 5 Missing 1 7 Refused 1 9 NA 3953 Sysmiss 1 Other health problem in last 12 months Respondent 6.5b Have you had any other health problem in the last 12 months? YES...1;NO...2 All DSS Residents 50 years and above 5469 1 Had any other health problem in the last 12 months 1 Yes 202 2 No 86 5 Missing 1 7 Refused 1 9 NA 5179 Sysmiss 1 6.5-most severe health problem currently Respondent 6.5 What do you consider to be the most severe health problem you have currently? 1... Communicable disease(malaria, tuberculosis, HIV/AIDS, other); 2... Acute conditions (diarrhoea, flu, headaches, cough, other); 3...Injury or disability as a result of injury; 4... Post-Surgery complications; 5...Sleep problems; 6...Chronic pain in joints/arthritis(joints, back, neck); 7...Diabetes or related complications; 8...Problems with heart including unexplained pain in chest; 9... Problems with mouth, teeth or swallowing; 10...Problems with breathing; 11...High blood pressure/hypertension; 12 ...Stroke/sudden paralysis of one side of body; 13...Generalized pain (stomach, muscle or other non-specific pain); 14...Depression or anxiety; 15...Cancer; 16...Poor sight; 17...Hearing Loss; 18...Have no severe health problem; 98...Other(specify) CIRCLE ONE RESPONSE ONLY; IF ANSWER IS 18 SKIP TO 6.11 All DSS Residents 50 years and above 5469 1 Most severe current health problem 1 communicable disease 248 2 acute conditions 215 3 injury or related disability 25 4 post surgery complication 11 5 sleep problems 18 6 chronic joint pain arthritis 123 7 diabetes or related 15 8 heart unexplained chestpain 18 9 mouth teeth or swallowing 9 10 breathing problem 17 11 hypertension 42 12 stroke/sudden paralysis 7 13 generalised pain 73 14 depression/anxiety 1 15 cnacer 1 16 poor sight 12 17 hearing loss 4 18 no severe health problem 89 19 Asthma 0 20 stomach pains/ulcers 0 95 1 96 47 97 1 98 other 0 99 4492 Sysmiss 1 Other severe health problem specified Respondent 6.5b Have you had any other health problem in the last 12 months? (Other specify) All DSS Residents 50 years and above 5469 0 Had any other health problem in the last 12 months (Not listed in provided options) 99 5423 ALCER 1 ALCERS VINDONDA VYA TUMBO 1 ALERGY 2 ALLERGIC TO MAGADI 1 ALLERGY 2 BACK ACHE 1 BACKACHE 1 BOIL 1 BOILS 1 BURN ON THE LEG 1 DRY COUGH 1 EYE PROBLEM 3 FEET PAIN AND FEELING NO BLOOD FLOW IN FEET 1 GROWTH IN CERVIX 1 HEART BANS 1 HEART BUNS 1 HEART BURN 1 HEART BURNS 1 HEARTBURNS 1 HIGH HEART BEAT( PULSERATE) 1 HIS LEGS WERE PARALYSED 1 KIFAFA 1 KUUMWA NA MACHO 1 LEPROSY 1 MENINGITIS 1 MENTAL PROBLEM 1 MGUU KUUMA NIKIKAA 1 NOSE BLEEDING 1 PAIN IN THE LEGS 1 SHIDA YA MACHO 1 STOMACH GASSES 1 STOMACH UPSETS 1 THICKENEDE URINARY BLADDER 1 TONSILS 1 TUMBO 1 TYPHOID 2 UGONJWA WA NGOZI. 1 ULCERS 4 6.6-seek health care last 3 months for severe problem Respondent 6.6 In the last 3 months, have you gone to seek health care outside of home for this problem? (Y=YES; N=NO;IF NO SKIP TO 6.10) All DSS Residents 50 years and above 5469 1 Sought health care in last 3 months 0 No 0 1 Yes 536 2 350 7 1 9 4582 Sysmiss 1 6.7-type of health facility/provider visited - severe problem Respondent 6.7 Where did you got to seek health care? 1...Government health center/dispensary; 2...Private Health center/dispensary; 3...Pharmacist/Drug store; 4...Private Hospital; 5...Government Hospital; 6...Traditional Healer/herbalists; 7...Religious/Prayer houses; 8... Other(specify) All DSS Residents 50 years and above 5469 1 Where sought health care 1 govt dis health center 69 2 private dis health center 211 3 pharmacist drug store 110 4 private hospital 93 5 govt hospital 32 6 trad healer herbalists 11 7 religious prayer houses 2 8 other 0 95 1 96 8 97 1 99 4931 Sysmiss 1 Other place sought health care specified Respondent 6.7 Other (specify)...96 All DSS Residents 50 years and above 5469 0 Other place where sought health care (Not listed in provided options) (MAREBA) LUNGA-LUNGA CLINIC 1 03 1 95 2 98 1 99 4933 A CHEMIST IN DONHOLM 1 A KIOSK IN PARADISE 1 A KIOSK IN THE RESPONDENTS NEIGHBOURHOOD 1 A PRIVATE SHOP IN SINA 1 A SHOP IN NEIGHBOURHOOD 1 ABHA LIGHT CLINIC 1 AGIE CHEMIST(LOCAL CHEMIST) 1 AL-SHIFAA CHEMISTRY 1 AL-SHIVA 1 AMANA MEDICAL CLINIC 1 ATHI 1 BABA NDOGO CITY COUNCIL 1 BABA NDOGO DISPENSARY 1 BABA NDOGO HEALTH CENTRE 1 BABADOGO DISPENSARY 1 BABADOGO HEALTH CENTRE 1 BANGATHI 1 BARAKA CLINIC 1 BURUBURU- MISSIONARIES 1 CAN'T REMEMBER 1 CANA CLINIC 1 CANA DISPENSARY 1 CANA HOSPITAL SINAI 1 CANAAN 1 CANAAN DISPENSARY(REDEEM) 1 CANNAN 1 CANT REMEMBER NAME 1 CAPITAL CHEMIST 1 CASINO 1 CASINO NGARA (CITY COUNCIL) HOSPITAL 1 CATHOLIC 1 CATHOLIC CLINIC. 1 CATHOLIC DISPENSARY 8 CATHOLIC DISPENSARY. 2 CATHOLIC HEALTH CENTER 1 CATHOLIC HEALTH CENTRE 2 CATHOLIC MISSION DISPENSARY 1 CATHOLIC MISSIONARIES 1 CATHOLIC MISSIONARIES (SISTERS) MOBILE 1 CATHOLIC MISSIONARIES DISPENSARY 1 CATHOLIC MISSIONARY 1 CATHOLIC SISTERS 5 CATHOLIC SISTERS KARIOBANGI 1 CATHORIC DISPENSARY KARIOBANGI. 1 CATHORIC SISTERS 1 CHEMIST 5 CHEMIST ( KOROGOCHO 1 CHEMIST (KOROCHO) 1 CHEMIST (KOROGOCHO) 10 CHEMIST IN KARIOBANGI 1 CHEMIST IN KOROGOCHO 1 CHEMIST KARIOBANGI 1 CHEMIST KOROGOCHO 5 CHEMIST NAME NOT KNOWN 1 CHEMIST NEAREST 1 CHEMIST WITHOUT NAME 1 CHEMIST( KOROGOCHO). 1 CHEMIST(KOROGOCHO) 6 CHEMIST-NEARBY 1 CHINESS HERBAL CLINIC 1 CITY COUNCIL (KARIOBANGI) 1 CITY COUNCIL BABA DOGO 1 CITY COUNCIL KARIOBANGI 1 COMBONI SISTERS 2 COMPANY HOSPITAL AVENUE HOSPITAL 1 COPTIC 1 COPTIC HOSPITAL 1 COPTIC MEDIC CENTRE 1 COSMO 1 COSMO CLINIC 1 COSMOS 1 COSMOS CLINIC 1 COSMOS HEALTH CCENTRE 1 COSMOS MEDICAL CLIC 1 COSMOS MEDICAL CLINIC 3 CRESCENT MUSLIM HOSPITAL 1 CTHOLIC HEALTH CENTER 1 DANDORA 41 1 DISPENSARY 1 DOESNT KNOW THE NAME BUT IT WAS DURING COMMUNITY HEALTH DAY 1 DONHOLM CHEMIST 1 DRUG STORE/SHOP 1 FAMILY HEALTH CHEMIST 1 FATHER JOHN AMBULANCE 1 FLOOD MEDICAL CLINIC 1 G.S.C 1 GITHURAI CATHOLIC DISPENSARY 1 GIVEN MEDICINE BY A FREIND A PRACTITIONER TA KNH 1 GOVT HEALTH CENTER/DISPENSARY 1 GURU NANAK 1 GURUNANAK 1 HERBALIST UNKNOWN 1 HERBALISTS 2 HIGHRIDGE 1 HUDUMA BORA HEALTH CENTER 1 JACKY'S CHEMIST 1 JAIMAICA CHEMIST 1 JAMAICA CHEMISTS 1 K. N. HOSPITAL. 1 K.N HOSPTAL 1 K.N. HOSPITAL 1 K.N.H 19 K.N.H HOSPITAL 1 KARIOBANGI 1 1 KARIOBANGI CATHOLIC CLINIC 1 KARIOBANGI CATHOLIC DISPENSARY 8 KARIOBANGI CATHOLIC DISPENSRY 1 KARIOBANGI CATHOLIC SISTERS 1 KARIOBANGI CHEMIST 2 KARIOBANGI CHESIRE/HOME DISPENCARY. 1 KARIOBANGI CITY COUNCIL 6 KARIOBANGI CITY COUNCIL DISPENSARY 3 KARIOBANGI CLINIC 1 KARIOBANGI DISPENSARY 14 KARIOBANGI DISPENSARY. 1 KARIOBANGI FACILITY 1 KARIOBANGI HEALTH CENTER 1 KARIOBANGI HEALTH CENTER. 1 KARIOBANGI HEALTH CENTRE 6 KARIOBANGI HEALTH CENTRE. 1 KARIOBANGI HEALTH DISPENSARY 1 KARIOBANGI MISSIONARIE DISPENSARY 1 KARIOBANGI MISSIONARIES CLINIC 1 KARIOBANGI MISSIONARIES DISPENSARY 1 KARIOBANGI MISSIONARY 1 KARIOBANGI MWAURA CLINIC 1 KARIOBANGI(CATHOLIC) 1 KASINO 1 KAYABA CLINIC 1 KEMRIF HOSPITAL HAKISANIA 1 KENWA -KENYA NETWORK OF WOMEN LIVING WITH AIDS 1 KENYATTA 1 KENYATTA HOSPITAL 1 1 KENYATTA N. HOSPITAL 1 KENYATTA N.HOSPITAL 2 KENYATTA NATIONAL HOSPITAL 33 KENYATTA NATIONAL HOSPITAL. 1 KHAEMBA PHARMACIST 1 KIAMBU CHEMIST (PHARMACIST) 1 KIAMBU CHEMIST KOROGOCHO 1 KIAMBU HOSPITAL 1 KIJABE HOSPITAL 1 KIKUYU HOSPITAL 3 KIKUYU MISSION HOSPITAL 1 KIKUYUNI HOSPITAL 1 KNH 13 KNH HOSPITAL 1 KNH SPITAL 1 KNH-KENYATTA NATIONAL HOSPITAL 1 KOMBONI SISTERS CLINIC 1 LIKONI ROAD CLINIC 1 LOCAL CHEMIST 1 LOCAL CHEMIST (NO NAME) 2 LOCAL HERBALISTS 1 LUNGA LUNGA CHEMIST 1 LUNGA LUNGA CLINIC 1 LUNGA LUNGA DISPENSARY 1 LUNGA LUNGA DRUG STORE 1 LUNGA LUNGA HEALTH CENTRE 1 LUNGA-LUNGA CLINIC 2 LUNGA-LUNGA HEALTH CENTRE 1 LUNGALUNGA CHEMIST 2 LUNGALUNGA CLINIC(MAREBA) 1 LUNGALUNGA HEALTH CENTRE 1 LUNGALUNGA HEALTH CLINIC 1 LUNGALUNGA MAREBA CLINIC 1 LUNGALUNGA PRIVATE DISPENSARY 1 M.P SHAH HOSPITAL 1 MAJENGO DISPENSARY 1 MAKADARA DISPENSARY 1 MAKWAK(KOROGOCH) 1 MAMA WANGECI 1 MAREBA DISPENSARY 1 MARY IMMACULATE HOSPITAL 1 MARY IMMACURATE CLINIC 1 MASAI HERBS 1 MATHARE HOSPITAL 2 MATHARI HOSPITAL 1 MBAGATHI DISTRICT HOSPITAL 1 MBAGATHI HOSPITAL 6 MBAGATHI IDH 1 MEDFAST MEDICAL LABORATORY 1 METROPOLITAN HOSPITAL NAIROBI 1 MRADI/KARIOBANGI NORTH 1 MUKURU KWA NJENGA CATHOLIC MISSION 1 MWATATE 2 MWAURA'S CHEMIST IN KARIOBANGI 2 MWAURA'S PHARMACY (KARIOBANGI). 1 MWINGI GENERAL HOSPITAL 1 NACIM DISPENSARY KARIOBANGI 1 NAFUU CHEMIST 3 NAIROBI CITY COMMISSION INDUSTRIAL AREA DISPENSARY 1 NAKURU PROVINCIAL HOSPITAL 1 NAZAREEN 1 NAZARETH HOSPITAL 1 NEARBY CHEMIST 2 NEARBY CHEMIST (KOROGOCHO) 1 NEAREST SHOPS AND CHEMIST 1 NJOROGE'S SHOP 1 PARK ROAD 1 PRIVATE DISPENSARY IN PIPELINE 1 PROVIDE DISPENSARY 2 PROVIDE HEALTH CENTER 1 PROVIDE HEALTH CENTRE 3 PROVIDE INTERNATIONAL 23 PROVIDE INTERNATIONAL HOSPITAL 1 PROVIDE INTERNATIONAL KOROGOCHO 2 PROVIDE KOCH 1 PROVIDED BY MOBILE HERBALISTS, CAN'T REMEMBER NAME. 1 RAILWAYS 1 REBBECA CLINIC 1 REBECCA CLINIC 1 REDEEMED GOSPEL CHURCH 1 REEDEM GOSPEL CHURCH KOROGOCHO 1 REUBEN CENTRE 1 REUBEN DISPENSARY 1 RHODES (RAILWAY) 1 ROREDA CHEMIST 1 S.O.S BURUBURU DISPENSARY 1 SELF TREATMENT USING HERBS 2 SELF TREATMENT USING HERBS. 1 SHOP-NEAREST 1 SHOPS 1 SHOPS(KAMAU'S SHOP) 1 SHOPS-NEARBY 2 SHOPS/CHEMIST 1 SINAI DRUG STORE. 1 SISTER JILL (CATHOLIC ) 1 SOLOMO DISPENSARY 1 ST ANDREWS DISPENSARY 1 ST ANDREWS DISPENSARY IN LUNGA LUNGA 1 ST BENEDICT SURVEY. 1 ST CATHERINE PRIVATE DISPENSARY 1 ST MARY (RUBEN) 1 ST MARY DISPENSARY RUBEN 1 ST MARY HEALTH CENTRE 1 ST MARY LANGATA 2 ST MARY'S DISPENSARY LANGATA 1 ST MARYS 1 ST MARYS LANGATA 3 ST MONICA SISTERS CLINIC 1 ST'MARYS HOSPITAL 1 ST, ANDREW 1 ST. CATHERINE 1 ST. JOHN CLINIC AT BABA DOGO 1 ST. MARY (RUBEN) HEALTH CENTRE. 1 ST. MARY HOSPITAL MILIMANI 1 ST. MARY'S CLINIC 1 ST. MARY'S LANGATA 1 ST. MARYS 1 ST. MARYS HOSPITAL 1 ST. MARYS JOGOO ROAD DISPENSARY. 1 ST. TERESA DISPENSARY 1 ST.ANDERWS CHEMIST 1 ST.ANDREW DISPENSARY SINAI 1 ST.ANDREWS CHEMIST 1 ST.ANDREWS DISPENSARY 1 ST.ANTHONY 1 ST.MARY 1 ST.MARY LANGATA HOSPITAL. 1 TAITA TAVETA HOSPITAL 1 TANZANIA,MUKOBA PROVINCIAL HOSPITAL 1 TUMAIN CLINIC 1 TUMAIN CLINIC. 1 TUMAINI 7 TUMAINI CLINIC 25 TUMAINI CLINIC. 1 TUMAINI DISPENSARY 3 TUMAINI HEALTH CENTRE 3 TUMAINI HEALTH CLINIC 1 TUMAINI MISSIONARY 2 TUMANIN CLINIC 1 UMOJA CHEMIST 1 UNKNOWN 6 1 UNKNOWN CHEMIST 8 UNKNOWN CHEMIST AT KARIOBANGI 1 UNKNOWN CHEMIST IN KARIOBANGI 6 UNKNOWN HEALTH BACK 1 UNKNOWN HEALTH CENTRE 1 UNKNOWN HERBALIST 2 UNKNOWN IN KOCH 1 UNKNOWN MOBILE DOCTORS 1 UNKNOWN PRIVATE DISPENSARY 2 UNKNOWN PRIVATE DISPENSARY IN LUNGALUNGA 1 UNKNOWN PRIVATE HEALTH CENTRE 1 UPPER LIGHT CLINIC 1 UZIMA DISPENSARY 1 VISION 2 VISION DISPENSARY 3 Consultation cost in ast 12 months Respondent 6.9 How much have you spent on the following health related costs for yourself in the last 12 months? 6.6.1 Consultation RECORD 00000 IF FOR FREE; RECORD 999 IF NOT APPLICABLE All DSS Residents 50 years and above 5469 1 0 999999 97298.648 20659.747 Amount spent on Consultation in last 12 months Hospitalization cost in last 12 months Respondent 6.9 How much have you spent on the following health related costs for yourself in the last 12 months? 6.6.2 Hospitalization RECORD 00000 IF FOR FREE; RECORD 999 IF NOT APPLICABLE All DSS Residents 50 years and above 5469 1 0 99999 98994.417 9818.806 Amount spent on Hospitalization in last 12 months Medicine/drugs cost in last 12 months Respondent 6.9 How much have you spent on the following health related costs for yourself in the last 12 months? 6.6.3 Medicine/drugs RECORD 00000 IF FOR FREE; RECORD 999 IF NOT APPLICABLE All DSS Residents 50 years and above 5469 1 0 120000 92607.769 26069.176 Amount spent on Medicine/drugs in last 12 months Respondent 6.9 How much have you spent on the following health related costs for yourself in the last 12 months? 6.6.4 Transportation to health facility RECORD 00000 IF FOR FREE; RECORD 999 IF NOT APPLICABLE All DSS Residents 50 years and above 5469 1 0 99999 97765.897 14725.946 Amount spent on Transportation to Health facility Other cost in last 12 months Respondent 6.9 How much have you spent on the following health related costs for yourself in the last 12 months? 6.6.5 Other(specify) RECORD 00000 IF FOR FREE; RECORD 999 IF NOT APPLICABLE All DSS Residents 50 years and above 5469 1 0 99999 97169.054 16332.12 Amount spent on other health related cost in last 12 months Specified other cost in last 12 months Respondent 6.9 How much have you spent on the following health related costs for yourself in the last 12 months? 6.6.5 Other (specify)... RECORD 00000 IF FOR FREE; RECORD 999 IF NOT APPLICABLE All DSS Residents 50 years and above 5469 0 Name of other health related cost in last 12 months (Not listed in provided options) 99 5427 CARD 4 CARD/FORM 1 CARDS 1 CAROL EX-PRAY 1 FILE 1 HARBAL MEDICINES 1 LAB TESTS 1 LABARATORY 1 LABORATORY 2 PRAYERS 1 REGISTRATION CARDS 1 TATOL 1 TOTAL 19 TOTAL AMOUNT OF MONEY 1 TOTAL CHARGES 1 TOTAL EXPENSE 1 TOTAL EXPENSENS 1 X-RAY 2 XRAY 1 6.11-needed health care but did not get last 3 months Respondent 6.11 Are there times in the past 3 months when you needed health care but you did not get it? (Y=YES;N=NO;IF NO SKIP TO 7.0) All DSS Residents 50 years and above 5469 1 Needed health care last 3 months but did not get it 0 No 0 1 Yes 334 2 641 5 1 7 1 9 4492 Sysmiss 1 6.12-main reason did not get health care Respondent 6.12 What is/was the main reason why you did not get health care when you needed it? 1...Could not afford the cost of the visit; 2...No transport available; 3...Could not afford the cost of transport; 4...Was previously badly treated; 5...Could not take time off work or had other commitments; 6...The health care provider's drugs or equipment are inadequate; 7...The health care provider's skills are inadequate; 8...You did not know where to go; 9...You tried but were denied health care; 10...You thought you were not sick enough; 11...You did not need health care; 98...Other(specify) CIRCLE ONE RESPONSE All DSS Residents 50 years and above 5469 1 Main reason why did not get health care when you needed it 1 could not afford cost 298 2 no transport available 1 3 could not afford transport cost 4 4 badly treated previously 2 5 could not take time off 2 6 inadequate drugs or equipment 0 7 inadequate providers skills 0 8 didnt know where to go 3 9 denied health 0 10 thought wasnt seek enough 20 11 didnt need healthcare 2 14 previous drugs ineffective 0 95 1 96 2 99 5134 Sysmiss 1 Other reason why didnt get health care Respondent Other (specify)....96 CIRCLE ONE RESPONSE All DSS Residents 50 years and above 5469 0 Other reason why you did not get health care when you needed it 99 5467 NOBODY TO TAKE HER TO HOSPITAL 2 Respondent 7.2 In general, how would you rate your health today, would you say you health is Very good(1); Good(2); Moderate(3); Bad(4); or Very Bad(5) All DSS Residents 50 years and above 5469 1 Self-rating of Health 1 very good 65 2 good 610 3 moderate 482 4 bad 206 5 very bad 20 7 1 9 4085 Sysmiss 1 Respondent 7.3 Overall in the last 30 days, how much difficulty did you ahve with work or household activities, Would you say No difficulty(1); Mild difficulty(2); Moderate(3); Sever(4); or Extreme/cannot do anything(5) All DSS Residents 50 years and above 5469 1 Difficulty in House work in last 30 days 1 no difficulty 293 2 mild difficulty 529 3 moderate 387 4 severe 140 5 extreme/cannot do anything 34 7 1 9 4085 Sysmiss 1 Respondent 7.4 Overall in the last 30 days how much difficulty did you have with moving around? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficult mobility last 30 days 1 none 757 2 mild 298 3 moderate 190 4 severe 124 5 extreme/cannot do 14 7 1 9 4085 Sysmiss 1 Respondent 7.5 Overall in the last 30 days how much difficulty did you have in vigorous activities (such as walking fast) 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficult in doing vigorous activities 1 none 449 2 mild 405 3 moderate 266 4 severe 216 5 extreme /cannot do 47 7 1 9 4085 Sysmiss 1 Respondent 7.6 Overall in the last 30 days how much difficulty did you have with self-care, such as bathing/washing yourself or dressing? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty with self-care in last 30 days 1 none 971 2 mild 240 3 moderate 116 4 severe 51 5 extreme /cannot do 5 7 1 9 4085 Sysmiss 1 Respondent 7.7 Overall in the last 30 days how much difficulty did you in taking care of and maintaining your general appearance (e.g. grooming, looking tidy) 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty maintaining your general appearance 1 none 1008 2 mild 247 3 moderate 84 4 severe 39 5 extreme /cannot do 5 7 1 9 4085 Sysmiss 1 Respondent 7.8 Overall in the last 30 days how much of bodily aches or pains did you have? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Bodily aches/pains last 30 days 1 none 515 2 mild 460 3 moderate 274 4 severe 120 5 extreme /cannot do 14 7 1 9 4085 Sysmiss 1 Respondent 7.9 Overall in the last 30 days how much bodily discomfort did you have? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Bodily discomfort in last 30 days 1 none 488 2 mild 467 3 moderate 287 4 severe 131 5 extreme /cannot do 9 7 1 9 4085 95 1 Sysmiss 1 Respondent 7.10 Overall in the last 30 days how much difficulty did you have with concentrating or remembering things? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty concentrating/remembering last 30 days 1 none 817 2 mild 331 3 moderate 163 4 severe 63 5 extreme /cannot do 8 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.11 Overall in the last 30 days how much difficulty did you have in learning a new task(for example learning how to get to a new place)? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty learning new task last 30 days 1 none 764 2 mild 386 3 moderate 170 4 severe 54 5 extreme /cannot do 8 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.12 Overall in last 30 days how much difficulty did you have with personal relationship ro participation in the community? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty in personal relationships 1 none 999 2 mild 274 3 moderate 86 4 severe 22 5 extreme /cannot do 1 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.13 Overall in the last 30 days how much difficulty did you have in dealing with conflicts and tensions with others? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty dealing with conflicts/tensions last 30 days 1 none 972 2 mild 288 3 moderate 89 4 severe 28 5 extreme /cannot do 5 7 1 9 4085 97 1 Sysmiss 1 Difficulty in making or maintaining friendship in the last 30 days Respondent 7.0 Health State Descriptions - Interpersonal Activities 7.12a Overall in the last 30 days how much difficulty did you have with making friendships or maintaining current friendships? None...01;Mild...02;Moderate...03;Severe...04;Extreme/can't do...05 All DSS Residents 50 years and above 5469 1 Difficulty in making/maintaining friendships last 30 days 1 None 972 2 Mild 299 3 Moderate 86 4 Severe 23 5 Extreme 2 7 1 9 4085 95 Missing 0 97 Refused 1 99 NA 0 Sysmiss 1 Difficulty in dealing with strangers in the last 30 days Respondent 7.0 Health State Descriptions-Interpersonal Activities 7.13a Overall in the last 30 days how much difficulty did you have with dealing with strangers? None...01;Mild...02;Moderate...03;Severe...04;Extreme/can't do...05 All DSS Residents 50 years and above 5469 1 Difficulty dealing with strangers last 30 days 1 None 868 2 Mild 378 3 Moderate 113 4 Severe 21 5 Extreme 2 7 1 9 4085 95 Missing 0 97 Refused 1 99 NA 0 Sysmiss 1 Respondent 7.14 Overall in the last 30 days how much of a problem did you have with breathing, such as shortness of breath when not doing anything? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Shortness of breath while idle last 30 days 1 none 1012 2 mild 216 3 moderate 116 4 severe 35 5 extreme /cannot do 3 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.15 Overall in the last 30 days how much of a problem did you have with shortness of breath when doing mild activity, such as climbing uphill for 20 meters or climbing stairs? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Shortness of breath while doing mild activity 1 none 891 2 mild 323 3 moderate 111 4 severe 43 5 extreme /cannot do 14 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.16 Overall in the last 30 days how much of a problem did you have with sleeping, such as falling asleep, waking up frequently during the night or waking up too early in the morning? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty in Sleep last 30 days 1 none 499 2 mild 448 3 moderate 290 4 severe 133 5 extreme /cannot do 12 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.17 Overall in the last 30 days how much of a problem did you have due to not feeling rested and refreshed during the day(e.g feeling tired,not having energy) 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty feeling rested or refreshed last 30 days 1 none 504 2 mild 475 3 moderate 304 4 severe 91 5 extreme /cannot do 8 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.18 Overall in the last 30 days how much of a problem di you have with feeling sad, low or depressed? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Felt sad or depressed last 30 days 1 none 289 2 mild 536 3 moderate 418 4 severe 127 5 extreme /cannot do 11 7 1 9 4085 95 1 97 1 Sysmiss 1 Respondent 7.19 Overall in the last 30 days how much of a problem did you have with worry or anxiety? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Felt worried/anxious last 30 days 1 none 408 2 mild 544 3 moderate 314 4 severe 107 5 extreme /cannot do 8 7 1 9 4085 95 1 97 1 Sysmiss 1 Respondent 7.20 When was the last time you had your eyes examined by a health care professional? (1=NEVER;2=WITHIN THE LAST 12 MONTHS;3=1-2 YEARS AGO;4=3-4 YEARS AGO;5=5 OR MORE YEARS AGO) CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Last eye examination 0 1 1 never 1017 2 within last 12months 57 3 1 to 2 years ago 57 4 3 to 4 years ago 55 5 5 or more years ago 195 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.21 Do you use eyeglasses or contact lenses to see far away (for example across the street)? (Y=YES;N=NO) CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Use eyeglasses to see far away 0 No 0 1 Yes 41 2 1341 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.22 Do you use eyeglasses or contact lenses to see up close (for example at arms length, like when you are reading)? CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Use eyeglasses to see up close 0 No 0 1 Yes 143 2 1239 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.23 Overall in the last 30 days how much difficulty did you have in seeing and recognising a person or object you know across the road (from a distance of about 20 meters) 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty recognizing a person/object across the road 1 none 688 2 mild 376 3 moderate 209 4 severe 93 5 extreme /cannot do 15 7 1 9 4086 97 1 Sysmiss 1 Respondent 7.24 Overall in the last 30 days how much difficulty did you have in seeing or recognising and object at arm's length (for example reading)? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty seeing/recognizing object at arm's length 1 none 423 2 mild 351 3 moderate 306 4 severe 260 5 extreme /cannot do 42 7 1 9 4085 97 1 Sysmiss 1 Respondent 7.28 In the last 30 days, how much difficulty did you have ... in sitting for long periods? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty sitting in long sitting, last 30 days 0 No 0 1 none 682 2 mild 468 3 moderate 150 4 severe 68 5 extreme/cannot do 14 9 not applicable 0 97 2 99 4085 Sysmiss 1 Respondent 7.29 In the last 30 days, how much difficulty did you have ... in walking 100 meters? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty in walking 100 meters, last 30 days 0 No 0 1 none 770 2 mild 359 3 moderate 163 4 severe 73 5 extreme/cannot do 14 9 not applicable 0 97 2 99 4088 Sysmiss 1 Respondent 7.30 In the last 30 days, how much difficulty did you have ... in standing up from sitting down? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty standing up from sitting down 0 No 0 1 none 658 2 mild 476 3 moderate 157 4 severe 76 5 extreme/cannot do 12 9 not applicable 0 97 2 99 4088 Sysmiss 1 Respondent 7.31 In the last 30 days, how much difficulty did you have ... in standing for long periods? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty standing for long periods 0 No 0 1 none 351 2 mild 508 3 moderate 284 4 severe 183 5 extreme/cannot do 46 9 not applicable 0 97 2 99 4095 Sysmiss 1 Respondent 7.32 In the last 30 days, how much difficulty did you have ... with climbing one flight of stairs without resting? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty climbing one flight of stairs without resting 0 No 0 1 none 441 2 mild 461 3 moderate 271 4 severe 144 5 extreme/cannot do 50 9 not applicable 0 97 2 99 4100 Sysmiss 1 Respondent 7.33 In the last 30 days, how much difficulty did you have ... with stooping, kneeling or crouching? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty stooping kneeling or crouching 0 No 0 1 none 395 2 mild 407 3 moderate 330 4 severe 163 5 extreme/cannot do 74 9 not applicable 0 95 1 97 2 99 4097 Sysmiss 1 Respondent 7.34 In the last 30 days, how much difficulty did you have ... picking up things with your fingers (such as picking up a coin from a table)? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty picking up things with your fingers 0 No 0 1 none 1010 2 mild 259 3 moderate 89 4 severe 17 5 extreme/cannot do 7 9 not applicable 0 97 2 99 4085 Sysmiss 1 Respondent 7.35 In the last 30 days, how much difficulty did you have ... in taking care of your household responsibilities? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty taking care of household responsibilities 0 No 0 1 none 912 2 mild 318 3 moderate 99 4 severe 33 5 extreme/cannot do 16 9 not applicable 0 95 1 97 2 99 4088 Sysmiss 1 Respondent 7.36 In the last 30 days, how much difficulty did you have ... in joining in community activities (for example festivities, religious or other activities) in the same way as anyone else can? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty joining community activities 0 No 0 1 none 990 2 mild 267 3 moderate 81 4 severe 26 5 extreme/cannot do 16 9 not applicable 0 97 2 99 4087 Sysmiss 1 Respondent 7.37 In the last 30 days, how much difficulty did you have ... in extending your arms above shoulder level? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty extending arm above shoulder level 0 No 0 1 none 1017 2 mild 277 3 moderate 72 4 severe 12 5 extreme/cannot do 4 9 not applicable 0 97 2 99 4085 Sysmiss 1 Respondent 7.38 In the last 30 days, how much difficulty did you have ... concentrating or doing something for 10 minutes? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty concentrating or doing something for 10 minutes 0 No 0 1 none 886 2 mild 364 3 moderate 103 4 severe 25 5 extreme/cannot do 4 9 not applicable 0 97 2 99 4085 Sysmiss 1 Respondent 7.39 In the last 30 days, how much difficulty did you have ... in walking a long distance such as a kilometre? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty walking a long distance such as a Kilometre 0 No 0 1 none 439 2 mild 414 3 moderate 319 4 severe 162 5 extreme/cannot do 39 9 not applicable 0 97 2 99 4094 Sysmiss 1 Respondent 7.40 In the last 30 days, how much difficulty did you have ... in bathing/washing your whole body? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty bathing/washing your whole body 0 No 0 1 none 1081 2 mild 193 3 moderate 69 4 severe 27 5 extreme/cannot do 11 9 not applicable 0 97 2 99 4086 Sysmiss 1 Respondent 7.41 In the last 30 days, how much difficulty did you have in getting dressed? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty getting dressed 0 No 0 1 none 1134 2 mild 162 3 moderate 58 4 severe 22 5 extreme/cannot do 5 9 not applicable 0 97 2 99 4086 Sysmiss 1 Respondent 7.42 In the last 30 days, how much difficulty did you have ... in your day to day work? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty in your day to day work 0 No 0 1 none 878 2 mild 327 3 moderate 119 4 severe 41 5 extreme/cannot do 14 9 not applicable 0 97 2 99 4088 Sysmiss 1 Respondent 7.43 In the last 30 days, how much difficulty did you have ... with carrying things? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty in carrying things 0 No 0 1 none 570 2 mild 429 3 moderate 236 4 severe 108 5 extreme/cannot do 29 9 not applicable 0 97 2 99 4095 Sysmiss 1 Respondent 7.44 In the last 30 days, how much difficulty did you have ... with moving around inside your home (such as walking across a room)? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 0 No 0 1 none 1000 2 mild 233 3 moderate 107 4 severe 31 5 extreme/cannot do 9 9 not applicable 0 97 2 99 4087 Sysmiss 1 Respondent 7.45 In the last 30 days, how much difficulty did you have... with eating (including cutting up your food)? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty eating 0 No 0 1 none 1073 2 mild 200 3 moderate 79 4 severe 26 5 extreme/cannot do 4 9 not applicable 0 97 2 99 4085 Sysmiss 1 Respondent 7.46 In the last 30 days, how much difficulty did you have ... with getting up from lying down? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty getting up from lying down 0 No 0 1 none 759 2 mild 390 3 moderate 170 4 severe 46 5 extreme/cannot do 16 9 not applicable 0 97 2 99 4086 Sysmiss 1 Respondent 7.46 In the last 30 days, how much difficulty did you have ... with getting up from lying down? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty getting to and using the toilet 0 No 0 1 none 1047 2 mild 205 3 moderate 85 4 severe 29 5 extreme/cannot do 15 9 not applicable 0 97 2 99 4086 Sysmiss 1 Respondent 7.48 In the last 30 days, how much difficulty did you have ... with getting where you want to go, using private or public transport if needed? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty getting to where you want to go 0 No 0 1 none 1002 2 mild 225 3 moderate 95 4 severe 38 5 extreme/cannot do 20 9 not applicable 0 97 2 99 4087 Sysmiss 1 Respondent 7.46 In the last 30 days, how much difficulty did you have...getting out of your home? 1...NONE;2...MILD;3...MODERATE;4...SEVERE;5...EXTREME/CAN'T DO; 9...NOT APPLICABLE CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Difficulty getting out of your home 0 No 0 1 none 1072 2 mild 174 3 moderate 96 4 severe 24 5 extreme/cannot do 14 9 not applicable 0 95 1 97 2 99 4086 Sysmiss 1 Respondent 7.50 In the last 30 days, how much have you been emotionally affected by your health condition(s) 1...NOT AT ALL; 2...A LITTLE; 3...MODERATELY; 4...GREATLY; 5...SEVERELY CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Emotionally affected by your health condition(s) 1 not at all 258 2 a little 599 3 moderately 394 4 greatly 80 5 severely 51 7 1 9 4084 97 1 99 1 Sysmiss 1 Respondent 7.51 Overall, how much did these difficulties interfere with your life? 1...NOT AT ALL; 2...A LITTLE; 3...MODERATELY; 4...GREATLY; 5...SEVERELY CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Overall effect of health related difficulties on respondent's life 1 none 307 2 mild 546 3 moderate 379 4 severe 86 5 extreme /cannot do 64 7 1 9 4084 97 1 99 1 Sysmiss 1 Respondent Subjective wellbeing and Quality of Life. Now, I would like to ask you for your thoughts about your life and life situation. By telling me whether you Completely, Mostly, Moderately, A little, or Not at all agree with the statement. 7.55 Do you have enough energy for everyday life? 1...COMPLETELY; 2...MOSTLY; 3...MODERATELY; 4...A LITTLE; 5...NONE AT ALL CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Adequate energy for everyday life 1 completely 84 2 mostly 607 3 moderately 492 4 a little 134 5 none at all 65 7 1 9 4084 97 1 99 1 Sysmiss 1 Respondent Subjective wellbeing and Quality of Life. Now, I would like to ask you for your thoughts about your life and life situation. By telling me whether you Completely, Mostly, Moderately, A little, or Not at all agree with the statement. 7.56 Do you have enough money to meet your basic needs? 1...COMPLETELY; 2...MOSTLY; 3...MODERATELY; 4...A LITTLE; 5...NONE AT ALL CIRCLE APPROPRIATE CODE All DSS Residents 50 years and above 5469 1 Have enough money to meet basic personal needs 1 completely 17 2 mostly 207 3 moderately 366 4 a little 356 5 none at all 436 7 1 9 4084 97 1 99 1 Sysmiss 1 Respondent 7.57 How satisfied are you with your health? 1...VERY SATISFIED; 2...SATISFIED; 3...NEITHER SATISFIED NOR DISATISFIED; 4...DISSATISFIED; 5...VERY DISSATISFIED All DSS Residents 50 years and above 5469 1 Level of satisfaction with own health 1 very satisfied 45 2 satisfied 586 3 neither 461 4 disatisfied 246 5 very satisfied 44 7 1 9 4084 97 1 99 1 Sysmiss 1 Respondent 7.58 How satisfied are you with your ability to perform your daily living activities? 1...VERY SATISFIED; 2...SATISFIED; 3...NEITHER SATISFIED NOR DISATISFIED; 4...DISSATISFIED; 5...VERY DISSATISFIED All DSS Residents 50 years and above 5469 1 Satisfaction with ability to perform daily activities 1 very satisfied 43 2 satisfied 605 3 neither 437 4 disatisfied 246 5 very satisfied 51 7 1 9 4084 97 1 99 1 Sysmiss 1 Respondent 7.59 How satisfied are you with your personal relationships? 1...VERY SATISFIED; 2...SATISFIED; 3...NEITHER SATISFIED NOR DISATISFIED; 4...DISSATISFIED; 5...VERY DISSATISFIED All DSS Residents 50 years and above 5469 1 Satisfaction with personal relationships 1 very satisfied 329 2 satisfied 862 3 neither 177 4 disatisfied 12 5 very satisfied 1 7 1 9 4084 95 1 97 1 99 1 Sysmiss 1 Respondent 7.60 How satisfied are you with the conditions of your living place? 1...VERY SATISFIED; 2...SATISFIED; 3...NEITHER SATISFIED NOR DISATISFIED; 4...DISSATISFIED; 5...VERY DISSATISFIED All DSS Residents 50 years and above 5469 1 Satisfaction with own living conditions 1 very satisfied 84 2 satisfied 654 3 neither 426 4 disatisfied 209 5 very satisfied 8 7 1 9 4084 95 1 97 1 99 1 Sysmiss 1 Respondent 7.61 Taking all things together, how satisfied are you with your life as a whole these days 1...VERY SATISFIED; 2...SATISFIED; 3...NEITHER SATISFIED NOR DISATISFIED; 4...DISSATISFIED; 5...VERY DISSATISFIED All DSS Residents 50 years and above 5469 1 Overall level of satisfaction with own life 1 very satisfied 45 2 satisfied 539 3 neither 480 4 disatisfied 282 5 very satisfied 34 7 1 9 4084 95 2 97 1 99 1 Sysmiss 1 Respondent 7.62 How would you rate your overall quality of life? is it Very Good(1); Good(2);Moderate(3); Bad(4); or Very Bad(5) Dont know(8) All DSS Residents 50 years and above 5469 1 Rating of overall quality of life 1 very good 34 2 good 469 3 moderate 547 4 bad 278 5 very bad 52 7 1 8 dont know 1 9 4084 95 1 97 1 99 1 Sysmiss 1 Respondent 7.63 Taking all things together, how would you say you are these days? Are you Very Happy(1); Happy(2); Neither happy nor unhappy(3); Unhappy(4); Very Unhappy(5); Dont Know(8) All DSS Residents 50 years and above 5469 1 Self-rating of Individual Happiness these days 1 very happy 27 2 happy 580 3 neither happy nor unhappy 522 4 unhappy 200 5 very unhappy 49 7 1 8 dont know 3 9 4084 95 1 97 1 99 1 Sysmiss 1 10.1-no of close friends Respondent 10.1 How many people do you have whom you consider as close friends? All DSS Residents 50 years and above 5469 1 Number of close friends 0 117 1 591 2 785 3 1082 4 663 5 876 6 208 7 126 8 98 9 38 10 575 11 3 12 24 14 1 15 85 16 1 17 2 20 112 25 6 30 24 35 1 40 5 50 21 90 1 97 refused 1 98 don’t know 7 99 missing 16 Sysmiss 1 10.2-relationship to person for financial assistance Respondent 10.2 Suppose you had a financial problem, whom would you turn to first for help? How is this person related to you? [CODE SHEET A4] RECORD RELATIONSHIP All DSS Residents 50 years and above 5469 0 First relative you would approach for financial help 997 1 999 1 AUN 13 AUT 1 BIL 12 BRO 439 CHD 355 COU 84 DIL 2 GCH 10 GDP 1 HUS 742 INS 48 NEP 7 NIE 7 NON 138 NRL 2055 OTH 6 PAR 348 PIL 3 SIL 4 SIS 204 SLF 719 SOL 1 UNC 28 UNK 2 WIF 238 10.3-place of residence of person for financial assistance Respondent 10.3 Where does this person live? CODE SHEET A2 RECORD CODE OF PLACE OF RESIDENCE All DSS Residents 50 years and above 5469 1 Place where this relative lives 0 within same HH 1316 1 within same DSA slum 2543 2 other DSA slum 94 3 non-DSA nairobi slum 128 4 nairobi non-slum 311 5 other urban in kenya 25 6 rural kenya 187 7 outside Kenya 7 8 Don’t know 0 95 missing 1 97 refused 1 99 missing 856 Sysmiss 1 10.4-relationship to person who is a confidant Respondent 10.4 Suppose you needed to confide in someone you trust, whom would you turn to first? How is the person related to you? CODE SHEET A2 RECORD RELATIONSHIP All DSS Residents 50 years and above 5469 0 First relative you would approach to confide in 997 1 999 1 AUN 6 BIL 4 BRO 232 CHD 506 COU 66 GCH 14 GDP 1 HUS 1054 INS 1 NEP 5 NIE 1 NON 50 NRL 977 OTH 4 PAR 272 PIL 1 SIL 3 SIS 226 SLF 158 SOL 1 STC 1 UNC 13 UNK 3 WIF 1867 wif 1 10.5-place of residence of person as confidant Respondent 10.5 Where does this person live? CODE SHEET A2 RECORD CODE OF PLACE OF RESIDENCE All DSS Residents 50 years and above 5469 1 Place where this relative lives 0 within same HH 2831 1 within same DSA slum 1402 2 other DSA slum 49 3 non-DSA nairobi slum 51 4 nairobi non-slum 112 5 other urban in kenya 17 6 rural kenya 797 7 outside Kenya 3 8 Don’t know 0 95 missing 0 97 refused 1 99 missing 206 Sysmiss 1 Who would support you incase of long ilness? Respondent 10.5a Suppose you had a health problem that needed care for a long time, who would support you? How is this person related to you?cod CODE SHEET A4 RECORD RELATIONSHIP All DSS Residents 50 years and above 5469 0 Relative who would support if respondent in Long-term illness 997 1 AUN 8 BIL 3 BRO 290 CHD 721 COU 33 GCD 1 GCH 21 GDP 2 HUS 1082 INS 34 NEP 2 NIE 1 NON 23 NRL 556 OTH 5 PAR 478 PIL 1 SIL 5 SIS 235 SLF 77 SOL 3 STC 1 UNC 11 UNK 3 WIF 1871 wif 1 10.6-belong to a self-help or welfare group Respondent 10.6 Do you belong to a self-help group such as merry-go-rounds or welfare organization? (Y=YES;N=NO) All DSS Residents 50 years and above 5469 1 Belong to self-help group/welfare organization 0 No 0 1 Yes 1790 2 3675 5 3 7 1 Sysmiss 1 10.7-frequency of meeting community leader last 4months Respondent 10.7 How often in last 4 months have you met with a community leader? 1.Never;2.Once or Twice a week; 3.Once or Twice a month; 4.Once or Twice in last 4 months;5.Other(specify) All DSS Residents 50 years and above 5469 1 Number of meetings with community leader in last 4 months 1 never 14 2 Once or twice a week 302 3 Once or twice per month 802 4 Once or twice last 4mths 806 5 other 3541 95 1 96 2 97 1 Sysmiss 1 Other frequency of meeting with village elder specified? Respondent Other(specify)...96 All DSS Residents 50 years and above 5469 0 Other frequency of meeting with community/village elder last 4 months (Not listed in provided options) 9 5467 HE'S THE LEADER 1 RARE OCCASSION/ONCE IN A WHILE 1 10.8-frequency of social society meetings last 4months Respondent 10.8 How often in the last 4 months have you attended any group, club, society, union or organizational meeting? 1.Never;2.Once or Twice a week; 3.Once or Twice per month; 4.Once or twice in last 4 months;5.Other(specify).... All DSS Residents 50 years and above 5469 1 In last 4 months, attendance of group, club, sociaty, union or organizational meeting 1 never 26 2 Once or twice a week 783 3 Once or twice per month 1276 4 Once or twice last 4mths 482 5 other 2899 95 missing 0 96 2 97 1 Sysmiss 1 Other frequency specified Respondent Other ...96 All DSS Residents 50 years and above 5469 0 Other frequency of attending groups/organizational meetings in last 4 months (Not listed in provided options) 99 5467 COPERATIVE 1 OCCASIONALLY 1 10.9-frequency of community volunteering last 4 months Respondent 10.9 How often in the last 4 months have you worked with other people in your neighbourhood to fix or improve something or resolve a community issue? 1.Never;2.Once or Twice a week; 3.Once or Twice per month; 4.Once or twice in last 4 months;5.Other(specify).... All DSS Residents 50 years and above 5469 1 In last 4 months, number of collaborations with neighbours to resolve community issue 1 never 25 2 Once or twice a week 421 3 Once or twice per month 496 4 Once or twice last 4mths 472 5 other 4053 95 missing 0 96 1 97 1 Sysmiss 1 10.10-type of religious affiliation Respondent 10.10 What is your religious affiliation? 1.Roman Catholic; 2.Protestant/Other Christian;3.Muslim;4.No religion;5.Other(specify) IF 4 SKIP TO 10.12 All DSS Residents 50 years and above 5469 1 Religious Affiliation 1 Roman Catholic 1600 2 protestant other xtian 1390 3 Muslim 1753 4 No religion 575 5 other 123 95 missing 0 96 21 97 7 Sysmiss 1 Other religion specified Respondent Other (specify)...96 All DSS Residents 50 years and above 5469 0 Other religious affilitation (Not listed in provided options) 9 5448 99 1 GPPC 1 HEBREWS 1 INDEFENITY 1 ISRAEL 1 JEHOVA WITNESS 1 JEHOVAH WITNESS 3 JEHOVAS WITNESS 1 LATTERS SAINTS 1 LEGIO 3 LEGIO MARIA 3 LEGS 1 RASTAFARIAN 1 RODOKIA 1 TRADITION RELGION 1 10.11-frequency of attending religious services Respondent 10.11 Not including weddings and funerals, how often do yuo attend religous services? 1.More than once per week; 2.Once per week;3.Once or twice a month;4.Only on special occassions;5.Once a year or less often;6.Never All DSS Residents 50 years and above 5469 1 Attendance of religious services - frequency 1 more than once a week 725 2 Once a week 3163 3 Once or twice a month 809 4 special occasions only 306 5 Once a year or less often 225 6 Never 118 9 122 97 1 Sysmiss 1 10.12-feeling of safety walking in community at night Respondent 10.12 In general, how safe from crime and violence do you feel when you are alone at home? Would you say you feel very safe, safe, neither safe nor unsafe, unsafe, or very unsafe? Very safe...1; Safe...2;Neither safe nor Unsafe...3;Unsafe...4;Very unsafe...5 All DSS Residents 50 years and above 5469 1 How safe do you feel when at home 1 very safe 151 2 safe 3323 3 neither safe nor unsafe 966 4 unsafe 865 5 very unsafe 161 95 2 97 1 Sysmiss 1 10.13-feeling of safety from crime and violence Respondent 10.13 How safe do you feel when walking down a road in the community alone after dark? Would you say you feel very safe, safe, neither safe nor unsafe, unsafe, or very unsafe? Very safe...1; Safe...2;Neither safe nor Unsafe...3;Unsafe...4;Very unsafe...5 All DSS Residents 50 years and above 5469 1 How safe do you feel when walking down a road in the community 1 very safe 63 2 safe 1372 3 neither safe nor unsafe 1296 4 unsafe 2192 5 very unsafe 544 95 1 97 1 Sysmiss 1 10.14-trust people in neighbourhood Respondent 10.14 First, think about people in your neigbourhood. Generally speaking, would you say that you can trust nearly all of them, some of tehm, few of them, none of them? 1=Nearly all of them; 2=Some of them;3=Few of them;4=None of them All DSS Residents 50 years and above 5469 1 Rating of Respondent's trust in his/her neighbours 1 nearly all 1437 2 Some of them 1365 3 a Few of them 1486 4 none of them 1045 5 135 97 1 Sysmiss 1 Time(min) to the nearest secondary school/college Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? a) Secondary school/college Minutes IF DONT KNOW, RECORD 998 All DSS Residents 50 years and above 5469 1 Time to nearest secondary school/college 0 No 1 1 Yes 38 2 128 3 179 4 67 5 696 6 96 7 152 8 151 9 138 10 1168 11 35 12 61 13 19 14 8 15 689 16 14 17 22 18 7 19 1 20 706 21 2 22 16 23 9 24 7 25 178 26 5 27 5 28 2 29 1 30 522 32 1 33 1 35 45 37 1 38 1 40 62 45 52 50 28 55 2 60 67 70 2 90 10 98 1 100 2 120 10 150 1 180 42 995 1 997 2 998 13 999 2 Sysmiss 1 Time(min) to the nearest hospital Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? b) Hospital Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest Hospital 0 No 0 1 Yes 0 3 3 4 1 5 15 7 5 8 5 9 4 10 95 11 1 12 10 13 8 14 2 15 196 16 5 17 9 18 3 19 3 20 350 21 2 22 1 23 2 25 165 27 4 28 8 30 596 33 1 34 1 35 125 36 1 37 1 38 1 40 178 45 203 50 100 55 12 58 1 60 756 65 5 70 14 75 32 80 26 85 4 90 646 95 7 98 4 99 1 100 24 105 14 109 2 110 13 115 7 120 730 125 12 130 19 135 4 140 11 145 3 150 58 155 1 160 4 170 4 175 1 176 1 180 853 300 1 720 1 997 2 998 89 999 3 Sysmiss 1 Time(min) to the nearest health center Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? c) Primary health clinic/health centre/private clinic Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest Primary health clinic/health centre/private clinic 0 No 1 1 Yes 323 2 628 3 536 4 150 5 1427 6 136 7 102 8 137 9 86 10 933 11 4 12 23 13 10 14 3 15 284 16 7 17 7 18 6 19 1 20 330 21 1 24 1 25 70 30 145 31 1 35 18 40 23 45 13 50 3 60 16 90 3 120 1 180 27 995 1 997 2 998 8 999 2 Sysmiss 1 Time(min) to the nearest pharmacy Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? d) Pharmacy/chemist/Drug store Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest Pharmacy/chemist/Drug store 0 No 3 1 Yes 561 2 753 3 625 4 224 5 1346 6 158 7 113 8 110 9 58 10 667 11 5 12 13 13 8 14 6 15 289 16 5 17 2 18 2 19 1 20 340 22 1 25 33 29 1 30 87 35 1 40 8 45 1 50 1 60 8 180 28 995 1 997 2 998 6 999 2 Sysmiss 1 Time(min) to the nearest bus stop Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? e) Bus/Matatu stop Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest Bus/Matatu stop 0 No 0 1 Yes 17 2 63 3 206 4 96 5 944 6 135 7 199 8 277 9 150 10 1454 11 35 12 70 13 37 14 25 15 702 16 14 17 17 18 10 19 3 20 612 21 7 22 2 23 1 24 2 25 93 27 1 30 201 31 1 32 2 35 2 40 17 45 13 50 5 60 14 80 1 90 1 120 1 180 27 997 2 998 8 999 2 Sysmiss 1 Time(min) to the nearest police station Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? f) Police station Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest Police station 0 No 0 1 Yes 51 2 112 3 117 4 42 5 497 6 59 7 98 8 103 9 72 10 821 11 52 12 89 13 61 14 47 15 949 16 16 17 11 18 16 19 11 20 906 21 6 22 5 23 8 24 3 25 421 26 5 27 6 28 5 29 1 30 529 31 1 32 3 35 71 40 102 45 53 50 26 60 27 70 2 80 1 90 13 95 1 98 1 120 2 135 1 180 30 995 1 997 2 998 11 999 2 Sysmiss 1 Time(min) to the nearest fast food outlet Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? g) Fast food outlet/Takeaway Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest Fast food/Take away outlet 0 No 6 1 Yes 1231 2 1354 3 794 4 170 5 1205 6 145 7 68 8 56 9 35 10 264 11 6 12 4 13 2 14 4 15 42 17 1 18 1 19 1 20 32 21 1 23 1 25 1 30 4 63 1 65 1 180 27 995 1 997 2 998 7 999 2 Sysmiss 1 Time(min) to the nearest restaurant Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? h)Other restaurant/eatery Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest Other restaurant/eatery 0 No 2 1 Yes 1158 2 1362 3 872 4 395 5 1025 6 137 7 94 8 60 9 33 10 231 11 4 12 6 13 4 14 1 15 26 16 2 18 1 20 10 25 1 30 6 180 28 995 1 997 2 998 6 999 2 Sysmiss 1 Time(min) to the nearest market Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? i) Place to buy foodstuffs e.g. shop/market Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest place to buy foodstuffs 0 No 25 1 Yes 1795 2 1260 3 718 4 300 5 848 6 111 7 80 8 42 9 25 10 177 11 5 12 3 13 2 14 3 15 18 20 18 30 1 180 27 995 2 997 2 998 6 999 1 Sysmiss 1 Time(min) to the nearest bar Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? j) Bar/drinking place Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest bar/drinking place 0 No 12 1 Yes 1228 2 1121 3 686 4 317 5 1065 6 141 7 106 8 97 9 41 10 435 11 5 12 11 13 1 14 2 15 39 17 2 18 1 19 1 20 45 23 1 25 2 30 7 40 1 45 1 98 1 180 57 995 1 997 2 998 38 999 2 Sysmiss 1 Time(min) to the nearest recreational center Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? k) Community/recreational centre/social hall Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest recreational center 0 No 0 1 Yes 116 2 269 3 349 4 90 5 1042 6 156 7 221 8 256 9 140 10 1393 11 28 12 65 13 32 14 16 15 540 16 8 17 2 18 5 19 2 20 392 21 1 25 112 26 1 27 3 30 141 35 11 40 16 45 10 50 2 60 4 90 2 98 1 120 1 180 29 997 2 998 9 999 2 Sysmiss 1 Time(min) to the nearest church Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? l) Church/Mosque/Other place of worship Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest Church/Mosque/Other place of worship 0 No 2 1 Yes 1190 2 1356 3 643 4 198 5 898 6 126 7 81 8 93 9 32 10 427 11 3 12 15 13 4 14 3 15 116 16 1 17 1 18 2 20 121 25 25 27 1 30 59 35 6 40 16 45 4 50 1 60 5 90 1 180 27 995 2 997 2 998 7 999 1 Sysmiss 1 Time(min) to the nearest playing ground Respondent 10.19 How long would it take you to walk to the nearest of these facilities in minutes? m) Playing ground Minutes IF DONT KNOW, RECORD 98 All DSS Residents 50 years and above 5469 1 Time to nearest playing ground 0 No 0 1 Yes 91 2 252 3 298 4 120 5 894 6 134 7 238 8 231 9 140 10 1313 11 27 12 85 13 40 14 14 15 615 16 8 17 5 18 6 19 2 20 448 22 1 23 1 25 146 26 1 27 3 30 192 35 26 40 24 45 19 50 12 55 1 60 22 70 1 90 4 98 1 100 1 120 6 130 2 150 1 180 31 995 1 997 2 998 8 999 2 Sysmiss 1 How often do you read newspaper? Respondent 10.16 Do you read a newspaper or magazine almost every day, at least once a week, less than once a week or not at all? Almost every day...01;At least once a week...02;Less than once a week...03;Not at all...04;Cannot read...05>10.19 All DSS Residents 50 years and above 5469 1 How often respondent reads newspaper 1 Almost every day 522 2 At least once a week 963 3 Less than once a week 1290 4 Not at all 2085 5 Can not read 607 95 1 97 1 Sysmiss 1 Have you read any materials promoting behaviours that may prevent chronic illnes Respondent 10.17 In the last 6 months, have you read any materials promoting behaviours that may prevent chronic disease such as diabetes, heart disease, cancers? Yes...1;No...2>10.19 All DSS Residents 50 years and above 5469 1 Respondent read health promotional material in last 6 months 1 Yes 583 2 No 4277 5 Missing 0 6 1 7 Refused 1 9 NA 607 Sysmiss 1 If yes, read about stop smoking? Respondent 10.1 What behaviours did you read about? A) Stop smoking Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about stopping smoking 1 Yes 381 2 No 202 5 Missing 0 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 If yes, read about reduce alcohol intake? Respondent 10.1 What behaviours did you read about? B) Reduce alcohol intake Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about reducing alcohol intake 1 Yes 326 2 No 257 5 Missing 0 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 If yes, read about reduce weight? Respondent 10.1 What behaviours did you read about? C) Reduce weight Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about how to reduce weight 1 Yes 139 2 No 444 5 Missing 0 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 If yes, read about reduce salt intake? Respondent 10.1 What behaviours did you read about? D) Reduce salt intake Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about reducing salt intake 1 Yes 154 2 No 428 5 Missing 1 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 If yes, read about eat more vegetables? Respondent 10.1 What behaviours did you read about? E) Eat more vegetables Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about eating more vegetables 1 Yes 228 2 No 355 5 Missing 0 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 If yes, read about eat more fruits? Respondent 10.1 What behaviours did you read about? F) Eat more fruits Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about eating more fruits 1 Yes 193 2 No 390 5 Missing 0 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 If yes, read about do regular exercises? Respondent 10.1 What behaviours did you read about? G) Do regular exercises Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about doing regular exercises 1 Yes 206 2 No 377 5 Missing 0 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 If yes, read about reduce fat intake? Respondent 10.1 What behaviours did you read about? H) Reduce fat intake Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about reducing fat intake 1 Yes 211 2 No 372 5 Missing 0 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 If yes, read about other behaviours? Respondent 10.1 What behaviours did you read about? i) Other Y...1;N...2 All DSS Residents 50 years and above 5469 1 Read about Other Health Behaviour 1 Yes 128 2 No 455 5 Missing 0 6 1 7 Refused 1 9 NA 4884 Sysmiss 1 Other behaviour read specified Respondent 10.1 What behaviours did you read about? Other... Y...1;N...2 All DSS Residents 50 years and above 5469 0 Name of other behaviour respondent read about (Not listed in provided options) (BALANCED DIET) EATING HABITS 1 1 2 1.ONE SHOULD TAKE HEALTHY FOOD 2.REDUCE SUGAR INTAKE 1 99 5342 ALOT OF SUGAR 1 AVOID SITTING FOR LONG DURATION. 1 AVOID SPICES, REDUCE SUGAR INTAKE 1 AVOID STRESS 1 AVOID STRESS, REDUCE SUGAR INTAKE 1 AVOID SUGAR INTAKE 1 AVOID WEARING HIGH HILLED SHOES 1 1 EAT AS DOCTOR INSTRUCTS 1 EAT BROWN BREAD 1 EAT PROTEINS (BEANS) 1 EATING JUNK FOODS 1 EATING LIVER 1 FOLLOW UP OF DIET 1 HAS TO PREVENT AIDS AND MALARIA 1 INHERITENCE, STRESS 1 NOT TAKING RED MEAT 1 NOT TO BE HIGH TEMBER 1 NOT TO EAT RED MEAT 1 NOT TO TAKE SPICES,REDUCE SUGAR INTAKE 1 ONE SHOULD GO FOR DIABETES SCREENING 1 ONE SHOULD USE MILLET FLOUR ,YATTA ETC 1 REDUCE ,SPICE AND SUGAR INTAKE 1 REDUCE CARBOHYDRATES INTAKE 1 REDUCE STARCH AND SUGAR INTAKE 1 REDUCE STRESS 6 REDUCE SUGAR 2 REDUCE SUGAR AND ALOT OF SPICE INTAKE 1 REDUCE SUGAR INTAKE 65 REDUCE SUGAR INTAKE, HAVE ENOUGH SLEEP 1 REDUCE SUGAR INTAKE,AVOID SPICE LIKE ROYCO 1 REDUCE SUGAR INTAKE,USE BROWN BREAD. 1 REDUCE SUGAR INTAKE. 1 REDUCE SUGAR INTAKES. 1 REDUCESUGAR INTAKE 1 RUDUCE STRESS 1 STOP BLECHING ONCE SKIN 1 STOP USING FAMILY PLANNING DRUGS 1 STRESS 4 TAKE A LOT OF WATER 3 TAKE BOILED WATER, REDUCE SUGAR INTAKE 1 TAKE MORE WATER 1 TAKING ALOT OF WATER 1 TAKING ALOTOF PROTEIN 1 TOO MUCH THINKING 1 USE ALOT OF WATER 1 USE HERBAL MEDICINE 1 USE OF A LOT OF SUGARS. 1 How often do you listen to radio? Respondent 10.19 Do you listen to the radio almost every day, at least once a week, less than once a week or not at all? Almost every day...1; At least once a week...2;Less than once a week...3;Not at all...4 All DSS Residents 50 years and above 5469 1 How often do you listen to radio in a week 1 Almost every day 4120 2 At least once a week 600 3 Less than once a week 443 4 Not at all 303 5 Missing 1 6 1 7 1 Sysmiss 1 Have you heard any messages promoting behaviours that may prevent chronic illnes Respondent 10.20 In the last 6 months, have you heard any messages promoting behaviours that may prevent chronic diseases such as diabetes, heart disease, cancers? Yes...1;No...2>10.22 All DSS Residents 50 years and above 5469 1 Heard health promotional messages in last 6 months 1 Yes 1603 2 No 3864 5 Missing 0 6 1 7 Refused 1 9 NA 0 Sysmiss 1 If yes, heard about stop smoking? Respondent 10.21 What behaviours did you hear about? A) Stop smoking Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages promoting cessation of smoking 1 Yes 974 2 No 629 5 Missing 0 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 If yes, heard about reduce alcohol intake? Respondent 10.21 What behaviours did you hear about? b) Reduce alcohol intake Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages about reducing alcohol intake 1 Yes 817 2 No 785 5 Missing 1 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 If yes, heard about reduce weight? Respondent 10.21 What behaviours did you hear about? c) Reduce weight Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages about Weight Reduction 1 Yes 378 2 No 1224 5 Missing 1 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 If yes, heard about reduce salt intake? Respondent 10.21 What behaviours did you hear about? D) Reduce salt intake Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages about Reducing Salt Intake 1 Yes 453 2 No 1150 5 Missing 0 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 If yes, heard about eat more vegetables? Respondent 10.21 What behaviours did you hear about? E) Eat more vegetables Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages about eating more vegetables 1 Yes 641 2 No 962 5 Missing 0 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 If yes, heard about eat more fruits? Respondent 10.21 What behaviours did you hear about? F) Eat more fruits Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages about eating more fruits 1 Yes 619 2 No 984 5 Missing 0 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 If yes, heard about do regular exercises? Respondent 10.21 What behaviours did you hear about? G) Do regular exercises Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages about Exercising Regularly 1 Yes 489 2 No 1114 5 Missing 0 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 If yes, heard about reduce fat intake? Respondent 10.21 What behaviours did you hear about? H) Reduce fat intake Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages about reducing fat intake 1 Yes 504 2 No 1098 5 Missing 1 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 If yes, heard about other behaviours? Respondent 10.21 What behaviours did you hear about? i) Other Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 1 Heard messages about other health behaviours 1 Yes 309 2 No 1294 5 Missing 0 6 1 7 Refused 1 9 NA 3864 Sysmiss 1 Other behaviour heard specified Respondent 10.21 What behaviours did you hear about? Other (Specify) Y...1;N...2 DO NOT READ THE RESPONSES, IF A RESPONSE IS MENTIONED CIRCLE 1. IF IT IS NOT MENTIONED AFTER PROBING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS CIRCLE 2. All DSS Residents 50 years and above 5469 0 Name of Other behaviour Respondent had messages about(Behaviour not listed in provided options) (IN MEN) HOW TO REGAIN REPRODUCTIVITY. 1 1 3 1) ONE SHOULD TAKE BROWN BREAD.2) ONE SHOULD USE YATTA FLOUR 1 1)ONE SHOULD TAKE HEALTHY MEALS.2) GO FOR DIABETES SCRENING 1 2 1 4 1 95 2 99 5161 ABOUT HIV/AIDS 1 AVOID ALOT OF SUGAR 1 AVOID BEING ANGRY ,LOT OF CARBOHYDRATES &TAKE LOT OF WATER 1 AVOID GETTING ANGRY OFTEN 1 AVOID IRRESPONSIBLE SEXUAL BEHAVIOUR. 2 AVOID MUCH SUGAR INTAKE 1 AVOID SODAS. REDUCE SUGAR INTAKE 1 AVOID STRESS 2 AVOID TAKING RED MEAT 1 AVOIDING STRESS 1 BE CLEAN, TAKE FOOD RICH IN PROTEINS REDUCE SUGAR INTAKE 1 BROWN BREAD 1 CHOLERA,KIPINDUPINDU(HYGIENE) 1 DIABETES SCREENING,REDUCE SUGAR,PROTEN FOODS YATTA FLOUR 1 DJ 1 DO NOT TAKE RED MEAT 1 EAT A LOT OF FOOD WITH VITAMINS 1 EAT ALOT OF LIVER 1 EAT BALANCED DIET 1 EAT BALANCED DIET. 1 EAT BEAN 1 EAT BREAD BROWN 1 EAT BROWN BREAD, TAKE LESS SUGAR 1 EAT LIVER 1 EATING UNCOOKED UGALI 1 FAMILLY PLANNING 1 FAMILY PLANNING METHODS 2 GENETIC CAUSE 1 GOING FOR HERBAL CLINIC FOR TEATMENT 1 HE CANNOT REMEMBER 1 HOW TO PREVENT AIDS 1 HYGIENIC 1 ICREASE WATER INTAKE. 1 INCREASE WATER IN TAKE 1 INCREASE WATER INTAKE 1 INHERITANCE 1 INSULIN REGULATION IN BODY 1 KEEP BALANCE DIET 1 NOT TAKING RED MEAT 1 NOT TO DRINK SODA 1 NOT TO EAT RED MEAT 2 NOT TO TAKE SPICES,REDUCE SUGAR INTAKE 1 ONE SHOULD AVOID STRESS 1 ONE SHOULD BE TAKING BROWN BREAD 1 ONE SHOULD EAT HEALTHY FOOD. 1 ONE SHOULD NOT TAKE SUGAR 2 ONE SHOULD REDUCE ALOT OF PROTEIN 1 ONE SHOULD TAKE BEANS 1 ONE SHOULD TAKE BROWN BREAD 1 ONE SHOULD TAKE HEALTHY FOOD 1 ONE SHOULD TAKE LEMONS 1 ONE SHOULD TAKE PORRIDGE 1 ONE SHOULD USE BROWN BREAD,ONE SHOULD USE MILLET FLOOR 1 OVER WORKING ,REDUCE SUGAR INTAKE 1 REDUCE CARBOHYDRATES 1 REDUCE CARBOHYDRATES INTAKE 1 REDUCE CARBOHYDRATES INTAKE. 1 REDUCE CARBOHYDRATES,SUGAR 1 REDUCE INTAKE OF NYAMA CHOMA 1 REDUCE INTAKE OF SUGAR 1 REDUCE MEAT INTAKE 1 REDUCE RED MEAT EATING 1 REDUCE SPICE ,SUGAR INTAKE 1 REDUCE STARCH INTAKE 2 REDUCE STRESS 5 REDUCE STRESS AND DEPRESSION. 1 REDUCE STRESS AND SUGAR INTAKE. 1 REDUCE STRESS,DEPRESSION 1 REDUCE STRESSES 1 REDUCE STRESSES ,SUGAR INTAKE 1 REDUCE STRESSES AND DEPRESSIONS. 1 REDUCE SUDAR INTAKE 1 REDUCE SUGAR 10 REDUCE SUGAR IN TAKE 2 REDUCE SUGAR INTAKE 146 REDUCE SUGAR INTAKE, TAKING TRADITIONAL FOODS 1 REDUCE SUGAR INTAKE,TAKE FOOD RICH STARCH 1 REDUCE SUGAR INTAKE. 8 REDUCE SUGAR INTAKES 1 REDUCE SUGAR INTAKE\ 1 REDUCE SUGAR,CARBOHYDRATES 1 REDUCE SUGAR,SODA INTAKE 1 REDUCES STARCH FOODS (CARBOHYDRATES)EATS PROTEINS LIKE FISH 1 REDUCES STRESS 1 REDUCES SUGAR INTAKE 2 REDUCEV SUGAR INTAKE 1 REVISE SUGARINTAKE 1 SHOULD NOT TAKE MEAT REGURARLY 1 SHOULD NOT TAKE TOO MUCH SUGAR. 1 SOME FAMILY PLANNING METHODS 1 STAY AWAY FROM DUSTY PLACES 1 STOP USING FAMILY PLANNING 1 STOP USING REFINED FOODS(CANNED) 1 STRESS 4 STRESSES OR DEPRESSIVE 1 SUGAR REDUCES 1 TAKE A LOT OF WATER 1 TAKE BALANCED DIET 2 TAKE BEANS INSTEAD OF RED MEAT 1 TAKE BROWN BREAD,TAKE UGALI FROM MILLET 1 TAKE ONLY HERBAL MEDICINE 1 TAKE SODA WATER(CLUB SODA) 1 TAKING ALOT OF PROTEIN 1 THINKING SO HAD 1 TO EAT BROWN BREAD, REDUCE SUGAR INTAKE 1 UNCOOKED ROYCO 1 USE BOILED WATER 1 USE FOOD SUPPLIMENT 1 USE HERBAL MEDICINE 1 USE HERBAL MEDICINE ,REDUCE SUGAR INTAKE 1 USE OF ALOT OF SUGAR 1 USE OF HERBAL DRUG 1 USE OF HERBAL DRUGS 4 USE OF HERBAL THERAPY 1 USE OF LIQUID OIL 1 USE OF PROPER DIET 1 VISIT THE DOCTOR. 1 WE TAKE BALNCED DIET,REDUCE STRESS 1 How often do you watch Television? Respondent 10.22 Do you watch Television almost ever yday, at least once a eeek, less than once a week or not at all? Almost every day...1;At least once a week...2;Less than once a week...3;Not at all...4>13.0 All DSS Residents 50 years and above 5469 1 How often respondent watches Television in a week 1 Almost every day 1909 2 At least once a week 1170 3 Less than once a week 893 4 Not at all 1494 5 Missing 1 6 1 7 1 Sysmiss 1 Have you seen any messages promoting behaviours that may prevent chronic illness Respondent 10.23 In the last 6 months, have you seen any messages on television promoting behaviours that may prevent chronic diseases such as diabetes, heart disease, cancers? Yes..1;No...2>13.0 All DSS Residents 50 years and above 5469 1 Seen Health promotion messages on Television 1 Yes 533 2 No 3439 5 Missing 1 6 1 7 Refused 1 9 NA 1494 Sysmiss 1 If yes, seen/hear about stop smoking? Respondent 10.24 What behaviours did you see/hear about? A) Stop smoking DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/Heard messages about Cessation of smoking 1 Yes 399 2 No 134 5 Missing 0 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 If yes, seen/hear about reduce alcohol intake? Respondent 10.24 What behaviours did you see/hear about? B) Reduce alcohol intake DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/Heard messages about reducing alcohol intake 1 Yes 255 2 No 278 5 Missing 0 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 If yes, seen/hear about reduce weight? Respondent 10.24 What behaviours did you see/hear about? C) Reduce weight DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/Heard messages about Weight Reduction 1 Yes 152 2 No 381 5 Missing 0 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 If yes, seen/hear about reduce salt intake? Respondent 10.24 What behaviours did you see/hear about? D) Reduce salt intake DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/Heard messages about reducing salt intake 1 Yes 126 2 No 407 5 Missing 0 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 If yes, seen/hear about eat more vegetables? Respondent 10.24 What behaviours did you see/hear about? E. Eat more vegetables DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/heard messages about eating more vegetables 1 Yes 211 2 No 322 5 Missing 0 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 If yes, seen/hear about eat more fruits? Respondent 10.24 What behaviours did you see/hear about? F) Eat more fruits DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/Heard messages about eating more fruits 1 Yes 183 2 No 350 5 Missing 0 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 If yes, seen/hear about do regular exercises? Respondent 10.24 What behaviours did you see/hear about? G) Do regular exercises DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/Heard messages about Exercising Regularly 1 Yes 224 2 No 309 5 Missing 0 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 If yes, seen/hear about reduce fat intake? Respondent 10.24 What behaviours did you see/hear about? H) Reduce fat intake DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/Heard messages about reducing fat intake 1 Yes 192 2 No 341 5 Missing 0 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 If yes, seen/hear about other behaviours? Respondent 10.24 What behaviours did you see/hear about? i) Other DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 1 Saw/Heard messages about Other Healthy behaviour 1 Yes 75 2 No 457 5 Missing 1 6 1 7 Refused 1 9 NA 4934 Sysmiss 1 Other behaviour seens pecified Respondent 10.24 What behaviours did you see/hear about? Other (specify) DO NOT PROBE, IF A RESPONSE IS MENTIONED, CIRCLE 1. CIRCLE 2, IF IT IS NOT MENTIONED AFTER PROMPTING AND RESPONDENT HAS STOPPED MENTIONING ANY MORE BEHAVIOURS All DSS Residents 50 years and above 5469 0 Name of Other behaviour respondent has seen/heard messages about (Behaviour not listed in provided options) 95 1 99 5394 AVOIDING IRRESPONSIBLE SEXUAL BAHAVIOUR. 1 BALANCED DIET 1 DO NOT TAKE TOO MUCH SUGAR 1 EAT A LOT OF BEANS 1 EAT BEANS 1 EAT BROWN BREAD 1 INHERITANCE 1 NOT TO DRINK SODA 1 NOT TO EAT RED MEAT 1 NOT TO TAKE RED MEAT 1 NOT TO TAKE SPICES,REDUCE SUGAR INTAKE 1 REDUCE MEAT & STARCHY FOOD 1 REDUCE ROYCO INTAKE 1 REDUCE SPICE SUGAR INTAKE 1 REDUCE STARCH FOOD INTAKE 1 REDUCE STRESS 2 REDUCE SUGAR INTAKE 42 REDUCE SUGAR INTAKE. 2 REDUCE SUGAR/SWEET FRUITS 1 REDUCE4 SUGAR INTAKE 1 SHOULD NOT TAKE VEGETABLES LIKE SUKUMA. 1 STOP USING REFINED FOODS(CANNED) 1 STOPM EATING HOT FOOD 1 SUGAR REDUCE 1 TAKE A LOT OF WATER 1 TAKE LITTLE STARCH,TAKE LESS SUGARY FOODS. 1 TAKING ALOT OF PROTEIN 1 TO EAT BROWN BREAD, REDUCE SUGAR INTAKE 1 USE OF LIQUID OIL 1 USE SORGHUM 1 USES OF CONDOM TO PREVENT AIDS. REDUCE SUGAR INTAKE 1 Female image likely to get/be married Respondent 13.1 Get/Be married FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to be married 1 120 2 622 3 634 4 476 5 260 6 75 7 289 8 476 9 141 10 414 11 199 12 469 13 205 14 228 15 124 16 179 17 341 18 95 95 Missing 0 97 Refused 83 98 Don't Know 4 99 NA 35 Sysmiss 1 Male image likely to get/be married Respondent 13.1a Get/Be Married FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to be married 1 96 2 448 3 669 4 351 5 350 6 83 7 258 8 225 9 142 10 647 11 270 12 584 13 136 14 281 15 168 16 137 17 389 18 106 95 Missing 0 97 Refused 93 98 Don't Know 3 99 NA 33 Sysmiss 1 Female image likely to get/have a good job Respondent 13.2 Get/have a good job FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - likely to get/have a good job 1 65 2 580 3 432 4 435 5 319 6 59 7 457 8 459 9 112 10 559 11 269 12 556 13 120 14 280 15 147 16 97 17 339 18 70 19 1 95 Missing 0 97 Refused 78 98 Don't Know 2 99 NA 33 Sysmiss 1 Male image likely to get/have a good job Respondent 13.1a Get/have a good job FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to get/have a good job 1 64 2 327 3 470 4 303 5 458 6 67 7 461 8 215 9 94 10 684 11 332 12 663 13 110 14 321 15 196 16 119 17 396 18 70 95 Missing 0 97 Refused 86 98 Don't Know 2 99 NA 31 Sysmiss 1 Female image likely to have enough money Respondent 13.3 Have enough money? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to have enough money 1 47 2 317 3 440 4 314 5 516 6 69 7 949 8 315 9 70 10 448 11 251 12 452 13 119 14 384 15 223 16 93 17 283 18 66 19 1 95 Missing 0 97 Refused 76 98 Don't Know 6 99 NA 30 Sysmiss 1 Male image likely to have enough money Respondent 13.3a Have enough money? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to have enough money? 1 65 2 233 3 416 4 231 5 634 6 76 7 824 8 165 9 85 10 471 11 283 12 508 13 107 14 412 15 310 16 104 17 364 18 59 95 Missing 0 97 Refused 88 98 Don't Know 3 99 NA 31 Sysmiss 1 Female image likely to live good life Respondent 13.4 Live a good life? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to live a good life 1 53 2 451 3 411 4 356 5 333 6 90 7 441 8 482 9 95 10 480 11 363 12 614 13 168 14 255 15 168 16 122 17 403 18 75 95 Missing 0 97 Refused 76 98 Don't Know 3 99 NA 30 Sysmiss 1 Male image likely to live good life Respondent 13.4a Live a good life FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to live a good life 1 63 2 316 3 457 4 257 5 362 6 88 7 433 8 278 9 94 10 539 11 431 12 666 13 117 14 351 15 262 16 116 17 457 18 62 95 Missing 0 97 Refused 86 98 Don't Know 3 99 NA 31 Sysmiss 1 Female image likely to have healthy children Respondent 13.5 Have healthy children? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to have healthy children 1 56 2 545 3 350 4 430 5 310 6 74 7 342 8 476 9 112 10 466 11 350 12 599 13 167 14 260 15 149 16 144 17 439 18 92 95 Missing 0 97 Refused 75 98 Don't Know 3 99 NA 30 Sysmiss 1 Male image likely to have healthy children Respondent 13.5a Have healthy children FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to have healthy children 1 67 2 409 3 464 4 324 5 256 6 81 7 352 8 278 9 103 10 626 11 427 12 604 13 140 14 321 15 215 16 126 17 458 18 97 19 1 95 Missing 1 97 Refused 86 98 Don't Know 2 99 NA 31 Sysmiss 1 Female immage likely to have long standing in the community Respondent 13.6 Be of high standing in the community FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to be of high standing in the community 1 63 2 331 3 482 4 290 5 425 6 76 7 620 8 347 9 59 10 457 11 275 12 469 13 102 14 501 15 302 16 105 17 368 18 89 19 1 95 Missing 0 97 Refused 76 98 Don't Know 2 99 NA 29 Sysmiss 1 Male immage likely to have long standing in the community Respondent 13.6a Be of high standing in the community? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to be of high standing in the community 0 1 1 60 2 206 3 475 4 177 5 519 6 73 7 556 8 184 9 106 10 523 11 304 12 547 13 80 14 522 15 375 16 109 17 455 18 78 95 Missing 0 97 Refused 85 98 Don't Know 3 99 NA 31 Sysmiss 1 Female image likely to be eating healthy Respondent 13.7 Be eating healthy? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to be eating healthy 1 62 2 589 3 294 4 460 5 182 6 70 7 233 8 579 9 91 10 437 11 324 12 767 13 153 14 207 15 105 16 182 17 514 18 105 19 1 95 Missing 0 97 Refused 82 98 Don't Know 2 99 NA 30 Sysmiss 1 Male image likely to be eating healthy Respondent 13.7a Be eating healthy? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to be eating healthy 1 66 2 408 3 509 4 268 5 227 6 73 7 241 8 250 9 100 10 651 11 435 12 778 13 129 14 232 15 135 16 136 17 625 18 84 95 Missing 1 97 Refused 87 98 Don't Know 4 99 NA 30 Sysmiss 1 Female image likely to be healthy Respondent 13. Be Healthy? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to be healthy 1 58 2 675 3 299 4 515 5 137 6 73 7 198 8 647 9 93 10 475 11 320 12 664 13 120 14 165 15 91 16 153 17 565 18 103 19 3 95 Missing 0 97 Refused 81 98 Don't Know 2 99 NA 32 Sysmiss 1 Male image likely to be healthy Respondent 13.a Be Healthy? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to be healthy 1 43 2 462 3 416 4 330 5 183 6 75 7 210 8 283 9 95 10 706 11 462 12 817 13 133 14 214 15 141 16 117 17 572 18 89 95 Missing 0 97 Refused 87 98 Don't Know 3 99 NA 31 Sysmiss 1 Female image likely to develop diabetes Respondent 13.9 Develop Diabetes FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to develop diabetes 1 116 2 41 3 171 4 85 5 542 6 232 7 3165 8 53 9 72 10 75 11 55 12 64 13 68 14 322 15 167 16 46 17 37 18 37 19 2 95 Missing 0 97 Refused 80 98 Don't Know 7 99 NA 32 Sysmiss 1 Male image likely to develop diabetes Respondent 13.9 Develop Diabetes FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to develop diabetes 1 92 2 51 3 134 4 69 5 881 6 243 7 2663 8 57 9 95 10 120 11 57 12 78 13 74 14 338 15 265 16 40 17 33 18 53 55 1 95 Missing 0 97 Refused 86 98 Don't Know 7 99 NA 32 Sysmiss 1 Female image likely to live a long life Respondent 13.10 Live a long life? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to live a long life 1 302 2 615 3 223 4 628 5 74 6 302 7 91 8 842 9 303 10 269 11 176 12 295 13 366 14 98 15 58 16 229 17 313 18 167 95 Missing 0 97 Refused 84 98 Don't Know 3 99 NA 31 Sysmiss 1 Male image likely to live a long life Respondent FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to live a long life 1 235 2 517 3 272 4 513 5 90 6 260 7 88 8 579 9 329 10 435 11 259 12 552 13 253 14 128 15 87 16 218 17 379 18 147 19 1 95 Missing 1 97 Refused 89 98 Don't Know 5 99 NA 32 Sysmiss 1 Female image likely to develop heart disease Respondent 13.12 Develop heart disease? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Likely to develop heart disease 1 241 2 57 3 131 4 88 5 690 6 477 7 2198 8 58 9 144 10 115 11 63 12 80 13 76 14 506 15 314 16 37 17 38 18 41 19 1 95 Missing 0 97 Refused 80 98 Don't Know 3 99 NA 31 Sysmiss 1 Male image likely to develop heart disease Respondent 13.12a Develop heart disease? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Likely to develop heart disease 1 294 2 53 3 128 4 85 5 728 6 371 7 2095 8 53 9 125 10 102 11 66 12 94 13 94 14 485 15 383 16 48 17 68 18 73 95 Missing 1 97 Refused 86 98 Don't Know 6 99 NA 31 Sysmiss 1 Female image likely to be attractive Respondent 13.13 Attractive FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Attractive 0 3 1 75 2 794 3 212 4 576 5 73 6 67 7 89 8 787 9 108 10 325 11 260 12 579 13 229 14 113 15 65 16 238 17 610 18 145 95 Missing 0 97 Refused 85 98 Don't Know 4 99 NA 32 Sysmiss 1 Male image likely to be attractive Respondent 13.13a Attractive? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Attractive 0 3 1 70 2 500 3 425 4 408 5 96 6 72 7 78 8 357 9 103 10 592 11 422 12 786 13 163 14 146 15 105 16 209 17 692 18 113 19 1 95 Missing 0 97 Refused 92 98 Don't Know 4 99 NA 32 Sysmiss 1 Female image likely to be confident Respondent 13.14 Confident? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Confident 1 61 2 506 3 263 4 468 5 142 6 106 7 181 8 575 9 146 10 515 11 298 12 614 13 198 14 274 15 134 16 181 17 574 18 110 19 2 95 Missing 2 97 Refused 85 98 Don't Know 3 99 NA 31 Sysmiss 1 Male image likely to be confident Respondent 13.14a Confident? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Confident 1 68 2 384 3 387 4 309 5 188 6 91 7 160 8 305 9 132 10 676 11 434 12 750 13 156 14 255 15 172 16 152 17 606 18 115 19 1 24 1 95 Missing 1 97 Refused 91 98 Don't Know 4 99 NA 31 Sysmiss 1 Female image likely to be greedy Respondent 13.15 Greedy FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Greedy 0 3 1 140 2 47 3 137 4 96 5 462 6 324 7 2789 8 59 9 106 10 115 11 79 12 87 13 82 14 399 15 243 16 66 17 48 18 68 19 2 95 Missing 0 97 Refused 83 98 Don't Know 3 99 NA 31 Sysmiss 1 Male image likely to be greedy Respondent 13.15a Greedy FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Greedy 0 1 1 135 2 53 3 163 4 92 5 640 6 305 7 2418 8 85 9 109 10 113 11 74 12 87 13 90 14 455 15 326 16 69 17 52 18 76 95 Missing 0 97 Refused 91 98 Don't Know 4 99 NA 31 Sysmiss 1 Female image likely to be happy Respondent 13.16 Happy? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Happy 1 73 2 627 3 326 4 511 5 146 6 80 7 145 8 609 9 141 10 476 11 320 12 607 13 241 14 189 15 113 16 208 17 418 18 120 19 2 95 Missing 1 97 Refused 82 98 Don't Know 2 99 NA 32 Sysmiss 1 Male image likely to be happy Respondent 13.16a Happy? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Happy 1 67 2 486 3 420 4 354 5 176 6 78 7 164 8 351 9 144 10 606 11 404 12 763 13 175 14 191 15 146 16 200 17 521 18 100 95 Missing 0 97 Refused 88 98 Don't Know 3 99 NA 32 Sysmiss 1 Female image likely to be friendly Respondent 13.17 Friendly? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Friendly 1 83 2 579 3 311 4 564 5 152 6 123 7 102 8 488 9 148 10 473 11 382 12 562 13 221 14 179 15 114 16 255 17 466 18 146 95 Missing 0 97 Refused 83 98 Don't Know 4 99 NA 34 Sysmiss 1 Male image likely to be friendly Respondent 13.17a Friendly? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Friendly 1 83 2 441 3 377 4 356 5 169 6 79 7 102 8 334 9 136 10 697 11 441 12 714 13 169 14 241 15 143 16 210 17 548 18 104 95 Missing 0 97 Refused 89 98 Don't Know 4 99 NA 32 Sysmiss 1 Female image likely to found attractive by opposite sex Respondent 13.18 Found attractive by the opposite sex? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Female Image - Be attractive to the opposite sex 1 108 2 767 3 215 4 570 5 74 6 72 7 96 8 894 9 138 10 327 11 217 12 497 13 156 14 120 15 55 16 153 17 744 18 144 19 1 95 Missing 0 97 Refused 87 98 Don't Know 2 99 NA 32 Sysmiss 1 Male image likely to found attractive by opposite sex Respondent 13.1a Found attractive by the opposite sex? FW: GIVE THE CARDS WITH SILHOUETTES OF DIFFERENT SIZED PEOPLE TO THE RESPONDENT AND ASK HIM/HER TO CHOOSE ONE SILHOUETTE WHICH APPLIES TO THE FOLLOWING: FOR EACH QUESTION, RECORD THE NUMBER OF SILHOUETTE CHOSEN IN THE BOX PROVIDED. FOR EACH RESPONDENT, START WITH THE SET OF FEMALE SILHOUETTES AND ASK QNS 13.1 TO 13.8 FIRST. SHOW THE MALE SILHOUETTES(QNS 13.1A TO 13.1A) ONLY AFTER YOU HAVE FINISHED WITH THE FEMALES ONES. IF NOT APPLICABLE RECORD 99. IF REFUSED RECORD 97 All DSS Residents 50 years and above 5469 1 Male Image - Be attractive to the opposite sex 1 94 2 486 3 440 4 368 5 157 6 63 7 134 8 314 9 93 10 606 11 373 12 620 13 90 14 151 15 111 16 160 17 961 18 121 95 Missing 1 97 Refused 91 98 Don't Know 3 99 NA 32 Sysmiss 1 Image correctly depicts your current body size Respondent ASK QNS 13.1A TO QNS13.1A BEFORE PROCEEDING TO QUESTION 13.19 13.19 Which image most accurately depicts your current body size? All DSS Residents 50 years and above 5469 1 Respondent's perception of current body size/body Image 1 97 2 937 3 224 4 776 5 43 6 61 7 26 8 811 9 246 10 330 11 140 12 478 13 224 14 48 15 63 16 206 17 543 18 100 95 Missing 0 97 Refused 79 98 Don't Know 6 99 NA 31 Sysmiss 1 Image correctly depicts body size you wish to have Respondent 13.20 Which image most accurately depicts the body size you would wish to have? All DSS Residents 50 years and above 5469 1 Respondent's perception of Body Image he aspires for 1 33 2 936 3 249 4 599 5 57 6 27 7 60 8 822 9 118 10 482 11 183 12 579 13 106 14 66 15 59 16 131 17 787 18 64 19 1 95 Missing 0 97 Refused 80 98 Don't Know 0 99 NA 30 Sysmiss 1 Image of a person with normal weight Respondent Which Image would you consider... 13.21 A person with normal weight? Normal weight All DSS Residents 50 years and above 5469 1 Body Image respondent categorizes as having normal weight 1 54 2 829 3 258 4 469 5 49 6 29 7 29 8 810 9 106 10 586 11 229 12 756 13 76 14 59 15 62 16 92 17 825 18 46 95 Missing 0 97 Refused 74 98 Don't Know 0 99 NA 31 Sysmiss 1 Image of a person who is obese Respondent Which Image would you consider... 13.22 A person who is obese Obese All DSS Residents 50 years and above 5469 1 Body Image respondent categorizes as being obese 1 5 2 4 3 148 4 14 5 1013 6 18 7 3719 8 14 9 7 10 26 11 10 12 5 13 2 14 247 15 127 17 7 95 Missing 0 97 Refused 73 98 Don't Know 0 99 NA 30 Sysmiss 1 Image of a person who is underweight Respondent Which Image would you consider... 13.23 A person who is underweight? Underweight All DSS Residents 50 years and above 5469 1 Body Image respondent categorizes as underweight 1 1373 2 27 3 19 4 26 5 27 6 3162 7 23 8 29 9 343 10 8 11 7 12 13 13 89 14 11 15 7 16 40 17 8 18 153 95 Missing 0 97 Refused 74 98 Don't Know 0 99 NA 30 Sysmiss 1 Image of a person who is overweight Respondent Which Image would you consider... All DSS Residents 50 years and above 5469 1 Body Image respondent categorizes as overweight 1 17 2 10 3 137 4 35 5 1614 6 25 7 1727 8 10 9 17 10 134 11 43 12 43 13 6 14 942 15 574 16 4 17 18 18 7 95 Missing 1 97 Refused 74 98 Don't Know 0 99 NA 31 Sysmiss 1 Ever smoked tobacco? Respondent 14.1 Have you ever smoked tobacco or used smokeless tobacco? Yes...1;No...2>14.14 All DSS Residents 50 years and above 5468 2 Ever smoked tobacco 1 Yes 1133 2 No 4334 5 Missing 0 7 Refused 1 9 NA 0 Sysmiss 2 Do you currently smoke any tobacco? Respondent 14.2 Do you currently smoke any tobacco products, such as cigarettes, cigars or pipes? YES...1;NO...2>14.7 All DSS Residents 50 years and above 5468 2 Currently smoke tobacco 1 Yes 626 2 No 506 5 Missing 1 7 Refused 1 9 NA 4334 Sysmiss 2 Do you currently smoke tobacco daily? Respondent 14.3 Do you currently smoke tobacco products daily? YES...1;NO...2;>14.7 All DSS Residents 50 years and above 5468 2 Currently smoke tobacco daily 1 Yes 592 2 No 34 5 Missing 0 7 Refused 1 9 NA 4841 Sysmiss 2 Age when started smoking Respondent 14.4 How old were you when you first started smoking daily? YEARS;DONT REMEMBER...98 IF AGE IS KNOWN, FILL THE BOX AND SKIP TO 14.6, IF DONT REMEMBER CIRCLE 98 All DSS Residents 50 years and above 5468 2 Age when started smoking 1 1 7 2 8 2 9 1 10 7 11 7 12 3 13 3 14 19 15 49 16 37 17 26 18 64 19 28 20 128 21 22 22 22 23 13 24 15 25 39 26 7 27 5 28 8 29 1 30 18 31 2 32 5 33 3 34 5 35 4 36 3 37 1 38 3 39 1 40 3 43 1 54 1 55 1 65 1 95 Missing 0 97 Refused 1 98 Don't Know 32 99 NA 4874 Sysmiss 2 Smoking duration, Years/Months/Weeks Respondent 14.5 How long ago was it when you started smoking daily? (Y=YEARS; M=MONTHS; W=WEEKS) All DSS Residents 50 years and above 5470 0 Smoking Duration (Years/Months/Weeks) 0 NA 5440 1 Weeks 0 2 Months 0 3 Years 30 5 Missing 0 8 Dont Know 0 9 NA 0 Number of units for smoking duration Respondent Number of Units All DSS Residents 50 years and above 5468 2 Smoking Duration (Number of Years/Months/Weeks) 4 1 5 2 6 2 8 1 9 3 10 4 14 1 15 2 16 2 18 1 20 5 24 1 25 1 27 1 30 2 98 1 99 NA 5438 Sysmiss 2 # of manufactured cigarettes smoked each day Respondent On average how many of the following do you smoke each day? Manufactured cigarettes Prompt and record for each type if dont rembers, record 99, if none record 000, if other record 996 All DSS Residents 50 years and above 5468 2 Average number of Manufactured cigarettes smoked a day 0 1 1 10 2 36 3 54 4 71 5 78 6 59 7 10 8 26 9 3 10 161 12 5 13 1 14 1 15 32 20 41 22 1 25 1 30 1 40 1 997 1 999 NA 4874 Sysmiss 2 # of Hand-rolled cigarettes smoked each day Respondent On average how many of the following do you smoke each day? Hand-rolled cigarettes Prompt and record for each type if dont rembers, record 99, if none record 000, if other record 996 All DSS Residents 50 years and above 5468 2 Average number of hand-rolled cigarettes smoked in a day 0 585 1 3 3 1 5 1 8 1 20 1 997 1 999 NA 4875 Sysmiss 2 # of pipes full of tobacco smoked each day Respondent On average how many of the following do you smoke each day? Pipes full of tobacco Prompt and record for each type if dont rembers, record 99, if none record 000, if other record 996 All DSS Residents 50 years and above 5468 2 0 588 2 1 3 1 4 2 997 1 999 NA 4875 Sysmiss 2 # of cigars, cheroots smoked each day Respondent On average how many of the following do you smoke each day? Cigars, cheroots, cigarillos Prompt and record for each type if dont rembers, record 99, if none record 000, if other record 996 All DSS Residents 50 years and above 5468 2 Average number of cigars,cheroots smoked in a day 0 589 1 2 3 1 997 1 999 NA 4875 Sysmiss 2 # of tobacco products smoked each day Respondent On average how many of the following do you smoke each day? Other Prompt and record for each type if dont rembers, record 99, if none record 000, if other record 996 All DSS Residents 50 years and above 5468 2 Number of other tobacco products smoked in a day 0 591 997 1 999 NA 4876 Sysmiss 2 Other tobacco products smoked spesfied Respondent On average how many of the following do you smoke each day? Prompt and record for each type if dont rembers, record 99, if none record 000, if other record 996 All DSS Residents 50 years and above 5468 0 Name of other tobacco products smoked in a day (Not listed in provided options) 99 5468 Ever smoked daily in the past Respondent 14.7 In the past, did you ever smoke daily? Yes...1;No...2; skip to 14.10 All DSS Residents 50 years and above 5468 2 Ever smoked daily in past 1 Yes 346 2 No 193 5 Missing 0 7 Refused 1 9 NA 4928 Sysmiss 2 Age when stopped smoking daily Respondent 14.8 How old were you when you stopped smoking daily? IF AGE IS KNOWN, FILL THE BOX AND SKIP TO 6.10, IF DON'T REMEMBER CIRCLE 98 All DSS Residents 50 years and above 5468 2 Age when stopped smoking daily 1 1 15 3 16 1 17 3 18 9 19 7 20 13 21 2 22 4 23 8 24 8 25 18 26 4 27 7 28 13 29 10 30 27 31 6 32 7 33 3 34 5 35 24 36 5 37 4 38 8 39 3 40 27 41 4 42 1 43 2 44 3 45 16 46 3 47 3 48 3 49 2 50 15 51 4 52 2 53 3 54 1 55 5 56 1 58 2 59 1 60 5 61 1 62 1 63 3 65 1 66 1 68 1 70 2 95 Missing 0 97 Refused 1 98 Don't Know 30 99 NA 5121 Sysmiss 2 Duration stopped smoking, Years/Months/Weeks Respondent 14.9 How long ago did you stop smoking daily? (Y=YEARS;M=MONTHS;W=WEEKS) RECORD IN ONLY 1 UNIT All DSS Residents 50 years and above 5470 0 Time to stopping daily smoking (Years/Months/Weeks) 0 NA 5440 1 Weeks 0 2 Months 0 3 Years 30 5 Missing 0 8 Dont Know 0 9 NA 0 # of units for stopped smoking Respondent 14.9 How long ago did you stop smoking daily? Number of Units All DSS Residents 50 years and above 5468 2 Time to stopping daily smoking (Number of Time Units/No. of Months/No. of Years/No. of Weeks) 1 1 2 1 4 1 5 4 6 2 7 2 8 4 9 1 10 5 15 1 16 1 20 5 25 1 30 2 99 NA 5437 Sysmiss 2 Currently use any smokeless tobacco Respondent 14.10 Do you currently use any smokeless tobacco such as snuff, chewing tobacco, betel YES...1;NO...2; SKIP TO 14.13 All DSS Residents 50 years and above 5468 2 Currently use smokeless tobacco 1 Yes 118 2 No 1014 5 Missing 0 7 Refused 1 9 NA 4335 Sysmiss 2 Currently use any smokeless tabacco daily Respondent 14.11 Do you currently use smokeless tobacco products daily? YES...1;NO...2;SKIP TO 14.13 All DSS Residents 50 years and above 5468 2 Currently use smokeless tobacco daily 1 Yes 97 2 No 21 5 Missing 0 7 Refused 1 9 NA 5349 Sysmiss 2 How may times snuff(mouth) in a day Respondent 14.12 Snuff, by mouth PROMPT AND RECORD FOR EACH TYPE IF DONT REMEMBER RECORD 98, IF NONE RECORD 00 All DSS Residents 50 years and above 5468 2 0 65 1 5 2 4 3 7 4 1 5 6 7 1 8 1 10 3 20 2 30 1 98 Dont Know 1 99 NA 5371 Sysmiss 2 How may times snuff(nose) in a day Respondent 14.12 Snuff, by nose PROMPT AND RECORD FOR EACH TYPE IF DONT REMEMBER RECORD 98, IF NONE RECORD 00 All DSS Residents 50 years and above 5468 2 How many times snuff by nose in a day 0 56 1 8 2 2 3 3 4 2 5 8 6 2 7 1 8 1 10 10 20 2 98 Dont Know 2 99 NA 5371 Sysmiss 2 How may times chew tobacco in a day Respondent 14.12 Chewing tobacco PROMPT AND RECORD FOR EACH TYPE IF DONT REMEMBER RECORD 98, IF NONE RECORD 00 All DSS Residents 50 years and above 5468 2 How many times chew tobacco in a day 0 74 1 5 2 3 3 4 4 3 5 4 6 2 10 2 98 Dont Know 0 99 NA 5371 Sysmiss 2 How may times you use betel/quid in a day Respondent 14.12 How many times use Betel,Quid in a day PROMPT AND RECORD FOR EACH TYPE IF DONT REMEMBER RECORD 98, IF NONE RECORD 00 All DSS Residents 50 years and above 5468 2 0 77 1 3 2 1 3 2 5 4 10 7 20 1 98 Dont Know 2 99 NA 5371 Sysmiss 2 How may times you use kuber in a day Respondent 14.12 How many times use Kuber in a day PROMPT AND RECORD FOR EACH TYPE IF DONT REMEMBER RECORD 98, IF NONE RECORD 00 All DSS Residents 50 years and above 5468 2 How many times use kuber in a day 0 94 2 1 3 1 98 Dont Know 1 99 NA 5371 Sysmiss 2 How may times use other subastance in a day Respondent 14.12 Other PROMPT AND RECORD FOR EACH TYPE IF DONT REMEMBER RECORD 98, IF NONE RECORD 00 All DSS Residents 50 years and above 5468 2 How many times use other substance in a day 0 89 98 Dont Know 0 99 NA 5379 Sysmiss 2 Other substance specified Respondent 14.12 Other (specify) PROMPT AND RECORD FOR EACH TYPE IF DONT REMEMBER RECORD 98, IF NONE RECORD 00 All DSS Residents 50 years and above 5468 0 Name of other substance used 99 5468 In the past, ever used Respondent 14.13 In the past, did you ever use smokeless tobacco such as [snuff, chewing tobacco, kuber or betel] daily? YES...1;NO...2;SKIP TO 14.22 All DSS Residents 50 years and above 5468 2 Used smokeless tobacco in the past 1 Yes 73 2 No 962 5 Missing 0 7 Refused 1 9 NA 4432 Sysmiss 2 Ever consumed alcohol Respondent 14.14 Have you consumed alcohol (such as beer, wine, spirits, changaa, busaa, muratina, kumi-kumi or other alcoholic drink within the past 12 months)? YES...1;NO...2; SKIP TO 14.22 USE SHOWCARD OR SHOW EXAMPLES All DSS Residents 50 years and above 5468 2 Consumed alchohol in last 12 months 1 Yes 911 2 No 4556 5 Missing 0 7 Refused 1 9 NA 0 Sysmiss 2 How frequent do you have at least one drink? Respondent 14.15 In the past 12 months, how frequently did you have at least one alcoholic drink? Daily...01;5-6 days per week...02;1-4 days per week; 1-3 days per month...04;Less than once a month...05;Other...96 FW: READ RESPONSES All DSS Residents 50 years and above 5468 2 Frequency of at least 1 alcohol drink in last 12 months 1 Daily 125 2 5-6 days a week 51 3 1-4 days a week 272 4 1-3 days a month 285 5 Less than once a month 159 95 Missing 2 96 Other 17 99 NA 4557 Sysmiss 2 Other drinking style spesfied Respondent Other (specify)...96 All DSS Residents 50 years and above 5468 0 Other frequency of at least 1 alcohol drink in last 12 months 99 5451 FOR THE LAST 10 MONTHS 1 ON CHRISTMAS EVE 1 ON SPECIAL OCCASION 1 ON SPECIAL OCCASSIONS 1 ONCE AFTER FOUR MONTHS 1 ONCE IN THREE MONTHS 1 ONCE IN TWELLVE MONTHS 1 ONCE OR TWICE A YEAR CHRISTMAS ONLY 1 ONCE PER YEAR 1 ONLY ON SPECIAL OCCASIONS 1 ONLY ONCE SICK 1 SPECIAL OCASSIONS 1 SPECIAL OCCATIONS 1 TWICE A YEAR 3 TWICW PER YEAR 1 Type of alcoholic drink taken Respondent 14.16a When you drink alcohol in a typical day, what type of alcoholic drink do you take? Type/Name USE SHOW CARDS All DSS Residents 50 years and above 5468 0 Preferred type of alcohol drink (Type/Name) 99 4557 ALL SOPPS 8 ALLSOOS 1 ALLSOP 1 ALLSOPPS 27 ALLSOPS 13 ALLSPPS 1 ALSOPPS 1 BUSA 13 BUSAA 64 BUSAA(LOCALLY CALLED KAROBO) 1 CASTLE LAGER 3 CCCHANGAA 1 CHAANG'AA 1 CHANG'AA 32 CHANGA 1 CHANGAA 173 CHANGAA,BUSAA 1 CITITZEN 1 CITIZEN 20 CITIZEN 3OOML 1 CNHANG'AA 1 ENATOR LAGER 1 FURAHA CANE 6 GITHERI 1 GUIENESS 1 GUINESS 38 GUINESS 300ML 1 GUINNES 3 GUINNESS 28 GUINNESS (300ML) 1 GUINNESS 300ML 1 GUINNESS 500ML 1 KANE EXTRA 1 KEG LAGER 500ML 1 KENYA KING 13 MARRY CANE 2 MARRY CANE SPECIAL 1 MARRY CANE SPECIAL GIN 1 MARRYCANE SPECIAL GIN 1 MARY CANE 1 MERRY CANE SPECIAL GIN 3 MITI NI DAWA 2 MUGACHA(TRADITIONAL BREW FOR MERU) 1 MURATINA 36 NAPOLEON 4 NAPOLEON BRANDY 3 PILSER LAGER 1 PILSNE LAGER 1 PILSNER 66 PILSNER 500ML 2 PILSNER LAGER 36 PRISNER 1 RICHOT 1 SAFARI CANE 2 SAFARI ICEBERG 2 SANATOR KEG LAGER 1 SENATOR 10 SENATOR KEG 31 SENATOR KEG 500ML 1 SENATOR KEG LAER 1 SENATOR KEG LAGER 32 SENATOR LAGER 10 SENATOR LEG LAGER 1 SENSTOR KEG LAGER 1 SMIRNOF ICE BLACK 1 SMIRNOFF ICE BLACK 4 SMIRNOFF ICE RED 1 TUSKE 1 TUSKER 79 TUSKER LAGER 99 TUSKER LAGER 500ML 1 TUSKER MALT 1 TUSKER MALT LAGER 4 WHITE CAP LAGER 3 Type of alcoholic drink Code Respondent 14.16a When you drink alcohol in a typical day, what type of alcoholic drink do you take? CODE All DSS Residents 50 years and above 5468 2 Preferred type of alcohol drink (Code) 1 179 2 6 3 12 4 68 5 9 6 22 7 51 8 4 9 33 10 38 11 5 13 4 14 3 15 205 16 4 17 16 19 1 20 108 21 2 22 77 23 7 24 3 25 10 26 38 28 3 95 Missing 3 97 Refused 0 98 Don't Know 0 99 NA 4557 Sysmiss 2 How much of drink during one day Respondent 14.16b How much of (type of drink in 14.16a) do you drink during one day? (UNIT MAY BE 500ML BOTTLE, KASUKU CUP, SMALL GLASS ETC) IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5470 0 How much of preferred drink in a day (Type of Unit) 0 NA 5470 1 Weeks 0 2 Months 0 3 Years 0 5 Missing 0 8 Dont Know 0 9 NA 0 # of units taken during one day Respondent 14.16b How much of (type of drink in 14.16a) do you drink during one day? IF DONT KNOW, CIRCLE 98 All DSS Residents 50 years and above 5468 2 How much of preferred drink in a day (Number of Units) 1 101 2 202 3 194 4 197 5 105 6 49 7 15 8 18 9 3 10 24 12 1 17 1 95 Missing 0 97 Refused 0 98 Don't Know 1 99 NA 4557 Sysmiss 2 # of standard drinks had Respondent USING THE SHOWCARDS, CALCULATE THE NUMBER OF STANDARD DRINKS HAD IN A TYPICAL DAY WHEN RESPONDENT DRINKS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 2 Number of standard drinks in a typical day 0 1 1 6 2 35 3 6 4 104 5 9 6 84 7 45 8 126 9 54 10 61 11 18 12 37 13 23 14 44 15 2 16 34 17 55 18 1 19 12 20 3 21 6 22 10 24 3 25 3 26 41 28 4 30 2 33 1 35 18 39 14 41 1 44 14 52 15 56 1 61 1 66 4 70 1 79 2 88 6 92 1 95 Missing 0 97 Refused 0 98 Don't Know 1 99 NA 4558 105 1 Sysmiss 2 Total # of drinks in past 12 months Respondent 14.17 In the past 12 months, what was the largest number of alchoholic drinks you had on a single occassion, counting all types of standard drinks together? IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5467 3 Total number of drinks in last 12 months 0 1 2 5 3 4 4 32 5 3 6 32 7 14 8 56 9 28 10 38 11 29 12 53 13 23 14 39 15 21 16 44 17 30 18 13 19 28 20 19 21 26 22 21 23 11 24 20 25 16 26 28 27 10 28 19 29 8 30 16 31 15 32 1 33 6 34 5 35 18 36 6 37 6 39 16 40 2 41 5 42 5 43 4 44 20 45 2 46 5 47 1 48 2 49 1 50 1 51 3 52 18 53 1 55 3 56 1 57 2 58 2 59 1 61 5 62 1 63 1 64 1 65 1 66 14 67 1 69 1 70 5 71 1 74 1 75 1 76 1 78 2 79 2 82 1 84 1 88 11 91 1 92 2 95 Missing 0 96 1 97 Refused 0 98 Don't Know 12 99 NA 4558 105 2 112 1 Sysmiss 3 First type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 First type of drink served in last 12 months 1 2 1 TUSKER 1 10 TUSKER 1 2 FURAHA CANE 1 2 SENATOR KEG 1 2 TUSKER 1 2*CHANG'AA 1 3 CHANG'AA 1 3 GUINESS 300ML 1 3 SENATOR KEG LAGER 1 3*CHANG'AA 1 5*500ML BOTTLE 1 8 ALL SOPPS 1 999 4567 ALL SOPPS 7 ALLOPPS 1 ALLSOP 1 ALLSOPES 1 ALLSOPP 1 ALLSOPPS 28 ALLSOPS 11 ALSOPPS 2 BUSA 13 BUSAA 61 Busa 1 Busaa 1 CASTLE LAGER 3 CHAANG'AA 1 CHAANGA 1 CHANG'AA 30 CHANGAA 160 CHANGAA 3 1 CHANGAA 6 GLASSES 1 CITIZEN 17 CITIZEN 5 * 300ML 1 CITIZEN SPECIAL 1 Chang'aa 3 Changaa 1 FURAH CANE 1 FURAHA CANE 7 GUIENESS 1 GUINESS 34 GUINNES 5 GUINNES 300ML 1 GUINNESS 30 I KENYA KANE 1 KEG LAGER 1 KEG SENATOR 1 KENYA KING 10 MARRY CANE 7 MARRYCANE 2 MARRYCANE S.GIN 1 MARY CANE SPECIAL GIN 1 MERRY CANE 4 MERRY CANE SPECIAL GIN 2 1 MUARATINA 1 MUGACHA 1 MURAINA 1 MURATINA 29 MURATINAA 1 Muratina 1 NAPOLEON 4 NAPOLEON BRANDY 3 Napoleon Brandy 1 PILNER LAGER 1 PILSER LAGER 2 PILSNER 70 PILSNER LAGER 24 PILSNER\ 1 PLISNER LAGER 1 SAFARI CANE 1 SAFARI ICEBERG 1 SENATOR 22 SENATOR ,KEG LAGER 1 SENATOR KEG 27 SENATOR KEG LAGER 27 SENATOR LAGER 7 SMIRNOFF 2 1 SMIRNOFF BLACK ICE 1 SMIRNOFF ICE BLACK 2 TUSKEE 1 TUSKER 83 1 TUSKER 500ML 1 TUSKER LAGER 84 TUSKER MALT 2 TUSKER MALT LAGER 2 Tusker 1 VIKING BRANDY 1 VODCA 1 WHITE CAP LAGER 3 busaa 2 castle lager 1 changaa 3 guiness 1 muratina 2 richot 1 safari cane 1 senator lager 1 tusker 2 tusker lager 2 Amount of first type of drink Respondent 14.17 Amount of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Amount of second type of drink served in last 12 months 0.5KG *2 1 0.5KG*1 1 0.5KG*2=1KG 1 03*500ML 1 1 GLASS *500ML CUP 1 1 KG *1 1 1 KG TIN *4 1 1 LITRE X 4 1 1 X 205 ML 1 1*100ML 1 1*1KG 3 1*1L 1 1*1LITRE 1 1*200ML 1 1*205 1 1*205 ML 3 1*205ML 9 1*205ML BOTTLE 2 1*250 ML 1 1*250ML KASUKU 1 1*300ML 1 1*500ML 8 1*500ML CUP 1 1*500ml 1 1.5 LITRE 1 1.5*1 1 1.5*205ML 1 1.5KG 1 1/2 KG*10 OF BUSAA 1 1/2KG*2 1 10 2 10 X 200 ML 1 10 X 300 ML 1 10 X 500 ML 2 10 X 500 ML GLASS 1 10*100ML 1 10*200 ML GLASS 1 10*200ML 1 10*200ML CUPS 1 10*200ML GLASS 5 10*300ML 3 10*500 ML 3 10*500ML 15 10*500ML BOTTLE 6 10*SMALL GLASS(100ML) 1 100ML*1 2 100ml*1 1 12 X 500 ML 2 12*200 ML GLASS 1 12*200ML GLASS 1 12*300ML 1 12*300ML BOTTLE 1 12*500ML 7 12*500ML BOTTLE 1 12*ALLSOPPS(500ML BOTTLE) 1 12.*500ML 1 13*500ML 1 14*100ML GLASS 1 14*500ML 1 15*500 ML 1 15*500ML 4 15*500ML BOTTLE 1 16*500 ML 1 18*300 ML 1 18*500ML 2 19*500ML BOTTLE 1 1KG 1 1KG KASUKU TIN*5 1 1KG TIN*3 1 1KG TIN*5 1 1KG*1 2 1KG*2 1 1KG*3 1 1KG*4 1 1kg* 1 kasuku tin 1 2 * 500ML 1 2 CUPS 500ML 1 2 KG*2 1 2 LITRE * 1 1 2 X 1 KG 1 2 X 1 KG TIN 1 2 X 300ML 1 2 X 500 ML 1 2* A KG OF TIN 1 2*1 KG 2 2*1 KG TIN 1 2*1/2KG TIN 1 2*100ML 2 2*100ML GLASS 1 2*1KG 5 2*1KGS 2 2*1KILOGRAM OF BUSA 1 2*1kg 1 2*200ML 9 2*200ML GLASS 3 2*200ML SMALL GLASS 1 2*200ML, 1*100ML 1 2*205 1 2*205ML 8 2*250ML 3 2*300ML 10 2*300ML BOTTLE 1 2*300ML(1.5) 1 2*300ML, 2*100ML, 1*100ML 1 2*500 2 2*500 ML 3 2*500ML 18 2*500ML BOTTLE 7 2*500ML CUP 5 2*500ML GLASS 1 2*500ML-7.0 1 2*500ML.1*300ML 1 2*505ML 1 2.5*200ML 1 20*500ML 1 20.*500ML 1 200 ML *4 1 200 ML CUP 1 200 ML*8.8 1 200ML X 2 1 200ML*1 1 200ML*2 2 200ML*3 6 200ML*4 4 200ML*5 5 200ML*5 GLASSES 1 200ML*7 1 200ML*8.8 1 200ml*4 1 205*1 2 205M*1 KENYA KING 1 205ML * 2 1 205ML*3 1 205ml*1 1 25*500 ML 1 250ML*1 1 250ML*3 1 250ml *3 1 2KG 3 2KG TIN OF BUSAA 1 2KG*1 2 3 * 100ML 1 3 * 500 1 3 X 200 ML 1 3 X 300 ML 1 3 X 500 ML 3 3*1 LITRE 1 3*1000ML 1 3*100ML CUP 1 3*100ML GLASS 1 3*100ML SMALL GLASS 1 3*1KG 9 3*1KG TIN 2 3*1L 1 3*200ML 9 3*200ML CUPS 1 3*200ML GLASS 3 3*200ML GLASSES 1 3*200ML(8.8) 1 3*200ml 1 3*205ML 4 3*250ML 1 3*250ML BOTTLE 1 3*2KG 1 3*300ML 11 3*300ML BOTTLE 2 3*500 ML 1 3*500ML 38 3*500ML (2.4) 1 3*500ML BOTTLE 9 3*500ML BOTTLE OF SENATOR 1 3*500ML CUP 2 3*500ml 2 3*CHANGAA*200ML 1 3*GUINESS 1 3*LITRE 1 3.5*4 1 300 ML *1 1 300 ML GLASS*5 1 300ML *2 1 300ML 4*13.2 1 300ML BOTTLE*3 1 300ML GLASS 1 300ML GLASS *5 2 300ML GLASS 13.2*4 1 300ML GLASS 3913.2 1 300ML GLASS*4 2 300ML GLASS*5 3 300ML GLASS-5 1 300ML GLASS=5 1 300ML*10 1 300ML*2 1 300ML*3 1 300ML*4 3 300ML*5 4 300ML*6 1 300ML*9 1 300ML13.2*3 1 300ml glass 4*13.2 1 315ML*10 1 3KG*3 1 4 * 100ML SMALL GLASS 1 4 * 200ML 1 4 * 300ML 2 4 * 500 ML 1 4 * 500 ML BOTTLE 1 4 * 500ML 2 4 X 500 ML 2 4* GUINESS 1 4*0.5KG 1 4*1 LITRE 1 4*1.5 KG 1 4*100ML 2 4*1KG 1 4*1KG BUSAA 1 4*1KG TIN 1 4*1kg 1 4*1kgtin 1 4*200 ML 2 4*200ML 9 4*200ML GLASS 1 4*200ml 1 4*250ML 1 4*300 ML 3 4*300ML 5 4*300ML BOTTLE 4 4*500 ML 6 4*500 ML BOTTLE 2 4*500 ML CUP 1 4*500ML 50 4*500ML BOTTLE 13 4*500ML BOTTLE OF TUSKER 1 4*500ML CUP 5 4*500ml 1 4*PILSNER (500ML BOTTLE) 1 4GLASSES*300ML 1 4KG 1 5 2 5 X 1 KG TIN 1 5 X 200 ML 1 5 X 500 ML 3 5 X 500 ML CUP 1 5 X 500ML 1 5*1/2KG 1 5*1/4KG 1 5*100ML 1 5*100ML BOTTLE 1 5*100ML GLASS 1 5*1KG 1 5*1KG TIN 1 5*200ML 9 5*200ML GLASS 8 5*200ml glass 1 5*205ML BOTTLE 2 5*300ML 3 5*300ML BOTTLE 1 5*300ml glass 1 5*500 GLASS 1 5*500 ML 1 5*500 ML CUPS 1 5*500 bottle 1 5*500ML 39 5*500ML BOTTLE 8 5*500ML CUP 2 5*500ML CUPS 1 5*500ML GLASSES 1 5*500ml cup 1 5.*100ML 1 500 ML BOTTLE*6 1 500 ML X 5 1 500 ML*7 1 500*10 1 500M*5 1 500ML *2 1 500ML *3 1 500ML *6 1 500ML *7 1 500ML BOTTLE 5*2.1 1 500ML BOTTLE(4*2.4) 1 500ML BOTTLE*15 1 500ML BOTTLE*2 1 500ML BOTTLE*3 1 500ML BOTTLE*4 2 500ML BOTTLE*6 1 500ML CUP*10 1 500ML CUP*4 2 500ML CUP*5 1 500ML GLASS3 1 500ML JAG =4 1 500ML JUG*5 1 500ML*1 3 500ML*10 3 500ML*12 1 500ML*2 4 500ML*3 5 500ML*3BOTTLES 1 500ML*4 11 500ML*5 7 500ML*6 5 500ML*7 2 500ML*8 4 500ml cup*3 1 500ml*4 1 5KG*1 1 6 1 6 * 500ML 2 6 GLASSES (200ML) 1 6 X 500 ML 2 6*0.5 KG TIN 1 6*100ML 2 6*100ML CHANGAA 1 6*100ML CUP 1 6*200ML 5 6*200ML GLASS 1 6*20ML 1 6*2KG 1 6*3.5 1 6*300 ML BOTTLE 1 6*300ML 3 6*500 ML 2 6*500 ML BOTTLE 1 6*500ML 33 6*500ML 1 BOTTLE 1 6*500ML BOTTLE 10 6*500ML BOTTLES 1 6*500ML CUP 5 6*500ML GLASS 1 6*6*300ML GLASS 1 7 1 7 * 500ML 1 7 500ml cup of muratina 1 7 X 300 ML 1 7 X 500ML 1 7*100ML 1 7*100ML GLASS 1 7*200ML 3 7*250ML CUP 1 7*300ML 2 7*500 ML 2 7*500 ML BOTTLE 1 7*500 ML CUP 1 7*5000ML 1 7*500ML 10 7*500ML BOTTLE 6 7*500ML CUP 1 8 * 500ML 1 8 X 300 ML 1 8 X 500 ML 2 8*1LTR 1 8*200 ML GLASS 1 8*200ML 2 8*200ML GLASS 1 8*300ML 2 8*500 ML BOTTLE 1 8*500ML 19 8*500ML BOTTLE 3 8*500ML BOTTLE OF PILSNER 1 8*500ML BOTTLES 1 8*500ML CUP 1 8*500ML GUINESS 1 8*500ml 1 9 * 500ML 1 9*1KG BUSAA 1 9*500 ML 1 9*500ML 4 9*50ML 1 999 4568 NUSAA*3KG 1 SMALL GLASS 5*13.3 1 SMALL GLASS 6 (300ML) 1 Second type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Second type of drink served in last 12 months 2 SENATOR LAGER 1 95 1 999 5142 ALL SOPPS 6 ALLSOPPS 12 ALLSOPS 7 ALOSOPPS 1 Afri Gold Vodka 1 BOND-SEVEN 1 BUSA 2 BUSAA 25 BUSAA 1.25 KG 1 CANE EXTRA 1 CASTLE LAGER 1 CHANG'AA 11 CHANGAA 36 CITIZEN 11 FURAHA CANE 6 GUINESS 15 GUINNESS 5 KEG SENATOR 2 KENYA CANE 1 KENYA KING 12 MARRY CANE 6 MARRY CANE SPECIAL 1 MARRY CANE SPECIAL GIN 2 MARYCANE SPECIAL GIN 1 MERRY CANE 4 MERRY CANE GIN SPECIAL 1 MERRYCANE SPECIAL GIN 1 MERRYKANE 1 MNAZI 2 MURATHINA 1 MURATINA 21 NAPOLEON 1 NAPOLEON BRANDY 1 PILSER 1 PILSNER 17 PILSNER LAGER 4 PILSNER LARGER 1 RICHOT 1 SAFARI CANE 1 SAFARI ICEBERG 1 SENATOR 10 SENATOR KEG 9 SENATOR KEG LAGER 11 SENATOR LAGER 4 SENATOR LAGER KEG 1 SMIRNOFF 1 SMIRNOFF RED 1 SPECIAL GIN 1 TUSKER 23 TUSKER LAGER 21 TUSKER LARGER 1 TUSKER MALT LAGER 2 Tusker Lager 1 VICEROY 1 VIKINGS BRANDY 1 WHITE CAP LAGER 2 WHITE CUP 1 WINE 1 busaa 1 changaa 1 citizen 1 muratina 1 senator 1 tusker 1 Amount of second type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Amount of second type of drink served in last 12 months 0.5*205ML 1 1 1 1 BOTTLE.1 LITRE 1 1 GLASS 100ML 1 1 KILOGRAM 1 1 LITRE 2 1 X 200 ML 2 1*1 KG 1 1*1.25 KG 1 1*1/4KG 1 1*100ML 3 1*1KG 1 1*1LTR 1 1*200ML 6 1*200ML GLASS 2 1*200MLGLASS 1 1*205 3 1*205 ML 1 1*205ML 12 1*205ML BOTTLE 2 1*250ML 4 1*250ML BOTLE 1 1*250ML BOTTLE 1 1*250ML GLASS 1 1*2KG TIN 3 1*300ML 3 1*315ML 1 1*500 1 1*500 ML BOTTLE 1 1*500ML 5 1*500ML BOTTLE 2 1*500ML CUP 2 1/2 kg *205ml 1 1/2*1 1 1/2KG TIN 2 10*500 ML 1 10*500ML 1 100ML SMALL GLASS 1 100ML*1 2 100ML*2 1 1KG 1 1KG OF BUSAA 2 1KG TIN 1 1KG*1 3 1KG*2 1 1kg*2 1 2 1 2 * 205ML 1 2 * 300ML 1 2 * 500ML 2 2 CUPS*500ML 1 2 X 500 ML 1 2*1/2KG 1 2*100ML 2 2*100ML GLASS 1 2*1KG 2 2*1KG MKEBE 1 2*1KGS 1 2*200ML 4 2*205 ML 1 2*205ML 6 2*205ML BOTTLE 1 2*250ML OF SPECIAL GIN 1 2*300ML 8 2*315 ML 1 2*500 ML 2 2*500 ML BOTTLE 1 2*500 ML CUP 1 2*500ML 32 2*500ML BOTTLE 5 2*500ML BOTTLES 1 2*500ML BOTTLLE 1 2*500ML CUP 4 2*500ML-7.0 1 2*KG 1 2.5*1KGS TINS 1 2.5*500ML 1 200ML*1 3 200ML*3 1 205ML*1 5 250ML BOTTLE*3 1 2KG OF BUSAA (TIN) 1 3 1 3 * 500ML 1 3 X 500 ML 1 3*0.5 KG 1 3*1 LITRE 1 3*100ML 1 3*200ML 2 3*200ML GLASS 1 3*205ML 1 3*300 1 3*300 ML 2 3*300ML 6 3*300ML BOTTLE 1 3*300ml 1 3*500 ML 4 3*500ML 19 3*500ML BOTTLE 6 3*500ML CUP 1 3*500ml cup 1 300ML*1 1 300ML*13.2 1 4 X 300 ML 1 4 X 500 ML 1 4*200ML 4 4*200ML GLASSES 1 4*300ML 2 4*300ML BOTTLE 2 4*500 CUP 1 4*500ML 17 4*500ML BOTTLE 3 4*500ML BOTTLES 1 4*500ML CUP 2 4*500ML CUP/KASUKU 1 4*500ML GLASS 1 4*500ml 1 5 BOTTLES 1 5*100ML 1 5*500ML 6 500 ML *2 1 500 ML X 2 1 500 ML*2 1 500ML 1 500ML * 2 1 500ML *1 1 500ML CUP*2 1 500ML JAG 4*3.5 1 500ML X 1 1 500ML*1 3 500ML*10 1 500ML*2 6 500ML*2 GLASSES 1 500ML*3 2 500ML*4 2 500ML*5 1 500ml*1 1 500ml*3 1 6*1KG 1 6*300ML 1 6*300ML BOTTLE 1 6*500ML 2 7*500ML 2 8*500ML 1 999 5145 COKE(SODA) 1 Third type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Third type of drink served in last 12 months 2 Tusker 1 999 5388 AFRI GOLD VODKA 1 ALL SOPPS 1 ALLSOPPS 4 ALLSOPS 2 BUSA 1 BUSAA 6 CHANG'AA 1 CHANGAA 7 CITIZEN 4 FURAHA CANE 1 GUINESS 4 GUINNESS 3 KANE EXTRA 1 KEG LAGER 1 MALTA GUINESS 1 MARY CANE 1 MITI NI DAWA 2 MTI NI DAWA 1 MURATINA 3 NAPOLEON 3 PILSNER 8 PILSNER LAGER 5 RICHOT 1 SENATOR 3 SENATOR KEG 3 SENATOR KEG LAGER 2 SENATOR LAGER 2 TUSKER 2 TUSKER LAGER 2 WHITE CAP 1 napoleon brandy 1 tusker lager 1 Amount of third type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Amount of third type of drink served in last 12 months 1*0.5 KG 1 1*1.5KG 1 1*100ML 1 1*1KG 1 1*1KG TIN 1 1*1L 1 1*1LTR 1 1*205 ml 1 1*205ML 2 1*300ML 3 1*3LITRE 1 1*500ML 2 1*500ML BOTTLE 1 1/2 LITRES 1 1/2KG*1 1 10 X 500 ML 1 10*500ML BOTTLE 1 1KG*1 1 2 1 2 * 300ML 1 2 CUPS *500ML 1 2 X 300 ML 1 2*100ML CUP 1 2*200ML 2 2*205ML 1 2*300ML 2 1 2*500ML 9 2*500ML BOTTLE 3 2*500ML CUP 1 2*500ml 1 2.5*1KGS 1 200ML*2 1 205ML*2 1 250ML*1 1 2GLASS*100ML 1 3 1 3 * 205ML 1 3 BOTTLES 1 3*200ML 1 3*205ML 1 3*300ML BOTTLE 1 3*500ML 4 3/500ML 1 4*300ML 2 4*500 ML BOTTLE 1 4*500ML 3 4*500ML BOTTLE 1 4*500NL 1 5*200ML 1 5*300ML BOTTLE 1 5*500 1 5*500ML 2 5*500ML BOTTLE 2 ALLSOPPS 1 500ML*4 1 7*500ML 1 8 * 500ML BOTTLE 1 999 5388 Fourth type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Fourth type of drink served in last 12 months 999 5453 ALL SOPPS 1 CHANGAA 1 CITIZEN 1 Chang'aa 1 GUINNESS 1 KENYA KING 1 MURATINA 2 PILSNER 1 PILSNER LAGER 1 SADITOR 1 SENATOR 2 TUSKER 1 TUSKER MALT 1 Amount of fourth type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Amount of fourth type of drink served in last 12 months 1*100ml 1 1*205ML 1 1*500ML 1 1*500ML CUP 1 2*500ML BOTTLE 1 3 1 3* 500 ML 1 3*500ML 1 4*500ML 2 5*200ML 1 5*300ML 1 5*500ML CUPS 1 6*500ML 1 7*300ML BOTTLE 1 999 5453 Fifth type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Fifth type of drink served in last 12 months 999 5467 GUINESS 1 Amount of fifth type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Amount of fifth type of drink served in last 12 months 5*300ML BOTTLE 1 999 5467 Sixth type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Sixth type of drink served in last 12 months 999 5468 Amount of sixth type of drink Respondent 14.17 Type of drink FW: PROMPT FOR ALL DRINKS HAD AND CALCULATE NUMBER OF STANDARD DRINKS USING SHOWCARDS; IF DONT KNOW CIRCLE 98 All DSS Residents 50 years and above 5468 0 Amount of sixth type of drink served in last 12 months 999 5468 On how many days had much more than 5 Respondent 14.18 In the past 12 months, on how many days did you have more than ... bottles/cans/cups of .....in a single day? (EQUAL TO FIVE STANDARD DRINKS) DONT KNOW...998 All DSS Residents 50 years and above 5468 2 Number of days on which had more than 5 standard drinks of preferred drink 0 25 1 31 2 38 3 18 4 20 5 24 6 16 7 6 8 9 9 2 10 37 11 1 12 42 13 2 14 2 15 9 16 6 19 1 20 15 21 1 22 1 23 1 24 32 25 3 26 1 28 1 30 29 31 1 32 2 35 1 36 23 37 1 40 22 42 1 45 3 48 35 50 23 52 7 53 1 56 1 57 1 60 13 61 1 62 1 64 2 72 2 80 2 90 2 93 1 94 1 95 3 96 36 98 1 100 14 104 2 108 2 120 6 125 1 140 1 142 1 143 1 144 24 145 5 146 1 150 8 151 1 156 4 167 1 178 1 180 3 190 1 192 10 200 20 208 1 213 1 220 1 230 1 240 6 246 1 250 3 288 1 292 1 300 13 309 1 334 1 336 1 340 4 350 8 360 11 364 1 365 55 888 Never 0 995 Missing 6 997 Refused 0 998 Dont Know 25 999 NA 4659 Sysmiss 2 On how many days had much more than 4 Respondent 14.19 In the past 12 months, on how many days did you have more than ... bottles/cans/cups of .....in a single day? (EQUAL TO FOUR STANDARD DRINKS) DONT KNOW...998 All DSS Residents 50 years and above 5468 2 Number of days on which had more than 4 standard drinks of preferred drink 0 2 1 6 2 6 3 4 4 2 5 3 7 1 8 2 10 7 12 7 13 1 15 2 20 3 24 5 25 1 30 2 36 3 40 1 48 1 50 2 52 2 58 1 60 2 83 1 96 5 99 1 100 2 104 1 144 5 192 2 240 1 250 1 280 1 288 1 300 1 320 1 350 1 360 1 364 1 365 9 888 Never 0 995 Missing 0 997 Refused 0 998 Dont Know 5 999 NA 5362 Sysmiss 2 Have you consumed other alcohol? Respondent 14.20 Have you consumed alcohol(such as beer, busaa or muratini or chang'aa or wine, spirits...) within past 30 days? YES...1;NO...2;SKIP TO 14.22A All DSS Residents 50 years and above 5468 2 Consumed other alcohol in last 30 days 1 Yes 531 2 No 373 5 Missing 5 7 Refused 0 9 NA 4559 Sysmiss 2 In last week, type of drink had on Monday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 0 Type of drink had on Monday - 22 0 30 0-0 1 0.75KG *2 BUSAA 1 00 162 000 1 1 500ML CHANGAA 1 1 500ML GUINESS 1 1 CHANGA *200ML 1 1 CHANGAA 1 1 CHANGAA 100ML 1 1 FURAHA CANE 2 1 GLASS 200ML CHANGAA 1 1 GLASS CHAANG'AA 1 1 GLASS CHANGAA 1 1 GLASS OF CHANGAA 1 1 MURATINA 1 1 NAPOLEON 2 1 PILSNER 1 1 SENATOR KES,ALLSOPPS 1 1 1 TUSKE 1 1 X 300 ML 1 1*100ML CHANG'AA 1 1*100ML CHANGAA 1 1*1KGS BUSAA 1 1*200ML CHANGAA 2 1*200ML GLASS 1 1*2KG TIN BUSAA 1 1*300ML BOTTLE CITIZEN 1 1*500ML PILSNER 1 1.5 BUSA 1 1/2 KG BUSAA 1 1/2 MARRY CANE 1 1/2KG BUSA CHANG'AA 1 10 500ML ALLSOPPS 1 10*1/2KG BUSAA 1 10*500ML SENATOR 1 100ML CHANGAA 3 100ML CUP CHANG'AA(10) 1 1KG BUSAA 1 1SENATOR KEG LAGER 1 1SENATOR KEG LAGER 500ML 1 2 * 200ML CHANGAA 1 2 200ML GLASS 1 2 ALL SOPPS 1 2 ALLSOPS 1 2 BUSAA, 200ML CHANG'AA 1 2 CHANG'AA 1 2 CHANGAA 2 2 CHANGAA 200ML 1 2 CITIZEN 1 2 CUP OF CHANGAA 1 2 FURAHA CANE 1 2 GLASS CHANGAA 2 2 GLASS OF CHANG'AA 2 2 GUENNESS 1 2 GUINNESS 1 2 KENYA KING 1 2 LITRES SENATOR KEG 1 2 SENATOR 500ML 1 2 TUSKER 1 2 TUSKERS 1 2 X 1 KLG BUSAA 1 2*100ML CHANG'AA 1 2*100ML CHANGAA 2 2*200 ML GLASS CHANG'AA 1 2*200ML CHANG'AA 1 2*200ML CHANGAA 2 2*2KG TIN 1 2*500 ML TUSKER 1 2*KG(TIN)BUSAA 1 2*MURATINA 1 2*SENATOR 1 2*SENATOR LAGER 1 2.5 GLASS OF CHANG'AA 1 200ML CHANGAA*3 1 2KG BUSAA 2 3 500MLALL SOPPS 1 3 ALLSOPS 1 3 CASTLE LAGER 1 3 CHANG'AA 1 3 CHANGAA 1 3 CITIZEN 1 3 CUPS MURATINA 2 3 GLASS CHANGAA 1 3 GLASS OF CHANGAA 2 3 GLASSES CHANG'AA 1 3 PILSNER 1 3 SMALL GLASS CHANGAA 1 3 TUSKER 3 3 X 100 ML 1 3 X CHANGAA 100 ML 1 3* CHANGAA SMALL GLASS 1 3*100ML CHANGAA 1 3*1KG BUSAA 1 3*200ML CHANGAA 3 3*200ML GLASS 2 3*250ML MURATINA 1 3*300ML 1 3*300ML GLASS CHANGAA 1 3*500ML CUP 2 3*500ML SENATOR 1 3*GLASSES CHANGAA 1 1 3*TUSKER 1 3.*500 ML MURATINA 1 300ML CHANGAA 1 300ML CHANGAA*1 1 300ML GLASS CHANGAA 1 3CHANGAA *200ML 1 3KG 1 3KG BUSAA 1 4 200ML GLASS 1 4 ALL SOPPS 1 4 BUSAA 1 4 CHAG'AA ( GLASS) 1 4 CHANGAA 1 4 GLASS 1 4 GLASS OF CHANGAA 1 4 MURATINA 1 4 TUSKER 1 4*0.5KG BUSAA 1 4*200ML 1 4*200ML CHANGAA 2 4*300ML CHANGAA 1 4*500 ML CHANGAA 1 4*500ML CUP MURATUNA 1 4*500ML MURATINA 1 4*CASTLE LAGER 1 4-CHANGAA 1 5 * 100ML GLASS 1 5 CHANGAA 1 5 MURATINA OF 500ML 1 5 TUSKER 1 5*200ML CHANGAA 1 5*200ML GLASS 1 5*500 ML CUP 1 5*CHANGAA 1 6 CHANG'AA 1 6 GUINNESS 500ML 1 6 KASUKU TIN BUSAA 1 6 TUSKER 1 6*200 ML GLASS CHANG'AA 1 6*200ML GLASS 1 6*300ML TUSKER MALT 1 6*500ML GUINESS 1 600ML CHANGAA 1 8 GLASS CHANGAA 1 98 1 99 5027 998 1 ALL SOPPS 1 BUSA 2KG TIN 1 BUSAA 1KG 1 CHANG'AA 1 CHANG'AA 1 GLASS 1 CHANG'AA 2 GLASSES 1 CHANGAA 1 CHANGAA 1*200ML 1 CHANGAA 1GLASS 1 CHANGAA 2 GLASS 2 CHANGAA 2 GLASSES 3 CHANGAA 2 X 200 ML 2 CHANGAA 200*4 1 CHANGAA 200ML 1 CHANGAA 2GLASSES 1 CHANGAA 3 GLASS 1 CHANGAA 3*200ML 1 CHANGAA 300ML*4 1 CHANGAA 4*200ML 1 CHANGAA 6*200ML 1 CHANGAA 7 GLASSES 1 CHANGAA*5(200ML) 1 CHANGAA3 GLASS 2 CHANGAA= 3 GLASS 1 CITIZEN 1 GUINNESS 2 300ML BOTTES 1 I GLASS CHANGAA 1 I KG BUSAA 1 I SENATOR KEG 1 KENYA KING 1 MURATHINA 1 CUP(500ML) 1 MURATINA 3 CUPS 1 N/A 4 NAPOLEON CHUPA 1 1 NONE 11 PILSNER 2 BOTTLES 1 PILSNER LAGER 1 SAFARI ICEBERG 1 SENATOR KEG 3 JAGS 1 SENATOR KEG LAGER 500ML *10 1 SENATOR LAGER KEG 1 TUSKER LAGER *3 1 In last week, # of drinks had on Monady Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 2 0 105 90.428 27.068 Number of drinks had on Monday In last week, type of drink had on Tuesday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 0 Type of drink had on Tuesday - 18 0 34 0-0 1 0.75KG *1 BUSAA 1 00 153 000 1 1 ALL SOPPS 1 1 CHANG'AA 1 1 CHANGAA 100ML 1 1 CHANGAA*200 1 1 FURAHA CANE 1 1 GLASS 200ML CHANGAA 1 1 GLASS OF CHANGAA 1 1 GUINESS 500ML 1 1 KG OF BUSAA 1 1 LITRE OF SENATOR 1 1 MARRY CANE 250ML 1 1 MURATINA 1 1 MURATINA (500)ML 1 1 NAPOLEON 1 1 TUSKER 1 1 X 300 ML 1 1*100ML CHANGAA 2 1*200ML CHANGAA 1 1*200ML GLASS 1 1*2KG TIN BUSAA 1 1*500ML MURATINA 1 1*500ML PILSNER 1 1.5 BUSA 1 1/2 KG BUSAA 1 1/2 MARRY CANES 1 1/2KG BUSA 1 1/2KG BUSAA, ALLSOPPS 1 1 10 500ML ALLSOPPS 1 10*1/2KG BUSAA 1 10*200ML GLASS 1 100ML CHANGAA 3 1KG 1 1KG BUSAA 1 1SENATOR KEG LAGER 1 1SENATOR KEG LAGER 500ML 1 2 1 2 ALLSOPPS 1 2 ALLSOPS 1 2 BUSAA, 100ML CHANG'AA 1 2 CHANG'AA 1 2 CHANGAA 2 2 CITIZEN 1 2 CUP OF CHANGAA 1 2 CUPS OF MURATINA 1 2 GLASS CHAANG'AA 1 2 GLASS CHANG'AA 1 2 GLASS OF CHANG'AA 1 2 GLASS OF CHANGAA 1 2 GUINNESS 1 2 KG BUSAA 1 2 SENATOR 500ML 1 2 SENATOR KEG 1 2 TUSKER 1 2*1/2KG BUSAA 1 2*100ML CHANG'AA 1 2*100ML CHANGAA 1 2*100ML CUP CHANGAA 1 2*200ML CHANG'AA 1 2*200ML CHANGAA 3 2*200ML GLASS 1 2*500ML 1 2*500ML BOTTLE ALLSOPPS 1 2*500ML CUP 2 2*500ML MURATINA 1 2*500ML PILSNER 1 2*500ML TUSKER 1 2*SENATOR 1 2,200ML(CHANGAA) 1 2.5*1KG BUSAA 1 2KG BUSAA 1 1 3 * 200ML CHANGAA 1 3 500ML CUP 1 3 ALL SOPPS 1 3 ALLSOPPS 1 3 ALLSOPS 1 3 CASTLE LAGER 1 3 CHANG'AA 1 3 CHANGAA 1 3 CITIZEN 1 3 CUPS MURATINA 1 3 GLASS OF CHANGAA 2 3 GLASSES CHANG'AA 1 3 GUINESS 1 3 GUINNES 1 3 SMALL GLASS CHANGAA 1 3 TUSKER 2 3* 1KG TIN BUSAA 1 3**SENATOR LAGER 1 3*100ML CHANG'AA CUP 1 3*100ML CHANGAA 1 3*200ML CHANGAA 3 3*200ML GLASS 1 3*200ML GLASS CHANG'AA 1 3*300ML GLASS CHANGAA 1 3*500 ML CHANGAA 1 3*500ML ALL SOPPS 1 3*500ML BOTTLE 1 3*500ML MURATINA 1 3*500MLSENATOR LAGER 1 3*KG(TIN)BUSAA 1 3*TUSKER 1 300ML CHANGAA 2 300ML GLASS CHANGAA 1 3KG BUSAA 2 3ML GLASS CHANGAA 1 4 ALLSOPPS 1 4 BUSAA 1 4 CHAG'AA ( GLASS) 1 4 CHANGAA 1 4 CHANGAA 200ML 1 4 CUPS MURATINA 1 4 GLASS CHANGAA 1 4 GLASS OF CHANGAA 1 4 KASUKU TIN BUSAA 1 4 MURATINA 1 4 SMIRNOFF 1 4 TUSKER 2 4*0.5KG BUSAA 1 4*1KG BUSAA 1 4*200ML 1 4*200ML CHANGAA 1 4*200ML GLASS 1 4*200ML GLASS CHANGAA 1 4*300ML CHANGAA 1 4*500 ML MURATINA 1 4*500ML 1 4*500ML CUP 1 4*500ML MURATINA 1 4*GLASSES CHANGAA 1 4*KG OF BUSAA 1 1 4*TUSKER LAGER 1 4-CHANGAA 1 5 200ML GLASS 1 5 CHANGAA 1 5 MURATINA OF 500ML 1 5*200 ML GLASS CHANG'AA 1 5*200ML CHANGAA 2 5*250ML MURATINA 1 5*500ML BOTTLE 1 5*500MLGUINESS 1 5*CHANGAA 1 500ML 10 SENATOR KEG 1 6 200ML GLASS 1 6 CHANG'AA 1 6 TUSKER 1 600ML CHANGAA 1 7*100M CUP CHANG'A 1 7*200ML CHANGAA 1 8*200 ML CHANG'AA 1 8*300ML TUSKER MALT 1 98 1 99 5032 998 1 BUSA 1 BUSA 2KG TIN 1 BUSAA 1 KG 1 BUSAA 1KG 1 CHANG'AA 1 CHANG'AA 1 GLASS 1 CHANG'AA 2 GLASS 1 CHANG'AA 3*100ML 1 CHANGAA 1 GLASS 2 CHANGAA 1*200ML 1 CHANGAA 1GLASS 1 CHANGAA 1GLASSES 1 CHANGAA 2 GLASS 3 CHANGAA 2 GLASSO 1 CHANGAA 2 X 200 ML 1 CHANGAA 2*200ML 2 CHANGAA 200*3 1 CHANGAA 200ML 1 CHANGAA 3 1 CHANGAA 3 GLASS 2 CHANGAA 3 GLASSES 1 CHANGAA 3 X 200 ML 1 CHANGAA 300ML*4 1 CHANGAA 4 GLASS 1 CHANGAA 4*200ML 1 CHANGAA 7 GLASSES 1 CHANGAA*4(200ML) 1 CHANGAA2*100 1 CHANGAA3 GLASS 1 I CHANGAA 200 ML 1 I GLASS CHANGAA 1 MURATINA 3 CUPS 1 N/A 6 NO DRINK 1 NONE 8 POMBE YA MATUMBO 1 SENATOR 10*500ML 1 SENATOR 500ML*3 1 SENATOR KEG LAGER 1 SENATOR KET 3 JAGS 1 TUSKER 4*500ML 1 TUSKER LAGER *3 1 In last week, # of drinks had on Tuesday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 2 0 99 90.449 27.04 Number of drinks had on Tuesday In last week, type of drink had on Wednesday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 0 Type of drink had on Wednesday - 15 0 27 0-0 1 0.75KG *1 BUSAA 1 00 145 000 3 1 500ML MURATINA 1 1 CHANGAA 1 1 FURAHA CANE 1 1 GLASS CHAANG'AA 1 1 GLASS OF CHANGAA 1 1 KENYA KING 1 1 LTRE 1 1 SENATOR KEG 1 1 X 300 ML 1 1*1/2KG TIN 1 1*1/2KG TIN BUSAA 1 1*100ML CHANGAA 1 1*1KGS BUSAA 1 1*200ML (CHANG'AA) 1 1*200ML CHANGAA 1 1*500ML PILSNER 1 1.5 BUSA 1 1/2 KG BUSAA 2 1/2 MARRY CANES 1 1/2*205ML 1 10 200ML GLASS 1 10 500ML ALLSOPPS 1 10 GUINESS 1 10*300ML TUSKER MALT 1 10*500ML CUP (MURATINA) 1 100ML CHANGAA 2 11 BUSAA (1KG) 1 14 ALL SOPPS 1 1CHANGAA*200 ML 1 1GLASS CHANGAA 1 1KG 1 1KG BUSA 1 1SENATOR KEG LAGER 1 2 200ML GLASS 1 2 ALL SOPPS 1 2 CHANG'AA 3 2 CHANGAA 2 2 CHANGAA 200ML 1 2 CUP OF CHANGAA 1 2 GLASS 100ML CHANGAA 1 2 GLASS CHANG'AA 1 2 GLASS CHANGAA 4 2 GLASS OF CHANG'AA 1 2 GUINNESS 2 2 PILSNER 3 2 SENATOR 500ML 1 2 TUSKER 2 2 WHITE CAP LAGER 1 2* 1KG TIN BUSAA 1 2*100ML CHANG'AA 1 2*100ML CHANGAA 1 2*1KG BUSAA 2 2*200ML 1 2*200ML CHANGAA 4 2*200ML GLASS 1 2*300ML CHANG'AA 1 2*500ML 1 2*500ML MURATINA 2 2*500ML SENATOR 3 2*500ML TUSKER LAGER 1 2*ALLSOPPS 500ML 1 2*CHANG'AA(100ML) 1 2*KG(TIN)BUSAA 1 2*SENATOR 1 200ML CHANGAA*3 1 2KG BUSAA 4 2KG BUSAA 1 GLASS CHANGAA 1 3 * 200ML CHANGAA 1 3 ALLSOPS 2 3 CASTLE LAGER 1 3 CHANG'AA 1 3 CHANGAA 1 3 CITIZEN 2 3 CUPS OF MURATINA 1 3 GLASS 100ML 1 3 GLASS OF CHANGAA 2 3 GLASSES CHANG'AA 1 3 GUINESS 2 3 SMALL GLASS CHANGAA 2 3 TUSKER 2 3 X 100 ML 1 3*1/2KG BUSAA 1 3*100ML CHANGAA 1 3*1KGS BUSAA 1 3*200 ML GLASS CHANG'AA 1 3*200ML CHANGAA 4 3*200ML GLASS 2 3*200ML GLASS CHANG'AA 1 3*300ML CHANGAA 1 3*300ML GLASS CHANGAA 1 3*500 ML BOTTLE TUSKERS 1 3*500 ML CHANGAA 1 3*500ML CHANGAA 1 3*500ML PILSNER 1 3*500ML SENATOR KEG LAGER 1 3*CHANGAA 1 3*GLASSES CHANGAA 1 300ML CHANGAA 1 300ML GLASS CHANGAA 1 3ML GLASS CHANGAA 1 1 4 *500 ML CUP 1 4 500ML CUP 1 4 ALLSOPPS 1 4 BUSAA 1 4 CHAG'AA ( GLASS) 1 4 CHANGAA 1 4 CUPS OF MURATINA*500ML 1 4 GLASS OF CHANGAA 1 4 TUSKER 1 4 TUSKER LAGER 1 4*0.5KG BUSAA4*0.5KG BUSAA 1 4*1 LITRE SENATOR 1 4*100ML CHANGAA 1 4*200ML CHANG'AA 1 4*200ML CHANGAA 4 4*500ML CUP 1 4*500ML CUP MURATINA 1 4*500ML MURATINA 1 4*ALLSOPPS 1 4*CHANGAA 1 1 4*SENATOR LAGER 1 4-CHANGAA 1 5 CHANGAA 1 5 MURATINA OF 500ML 1 5 TUSKER 3 5*200 ML CHANG'AA 1 5*200ML GLASS 1 5*200ML GLASS CHANG'AA 1 5*250ML MURATINA 1 5*500ML 1 5*500ML (ALLSOPPS) 1 5*500ML TUSKER 1 500ML 10 SENATOR KEG 1 50ML ALLSOPPS 1 1 5PILSNER 2.4*5 1 6 CHANG'AA 1 6 CUPS MURATINA 1 6 GLASS CHANGAA 1 6 GLASSES CHANG'AA 1 6 MURATINA 1 6 TUSKER 1 6*200ML GLASS 2 6*200ML GLASS CHANGAA 1 6*500ML BOTTLE 1 6*500ML GUINESS 1 600ML CHANGAA 1 700ML CHANGAA 1 98 1 99 5024 998 1 BUSA 1/4 KG 1 BUSAA 1KG 1 CASTLE LAGER 1 CHANG'AA 1 CHANG'AA 3*100ML 1 CHANG'AA GLASS 1 CHANG'AA*200ML*1 1 CHANG'AA1 GLASS 1 CHANGAA 1 GLASS 3 CHANGAA 1*200ML 1 CHANGAA 100ML 1 CHANGAA 2 1 CHANGAA 2 GLASS 2 CHANGAA 2 GLASSES 2 CHANGAA 2*200ML 1 CHANGAA 200*5 1 CHANGAA 200ML 1 CHANGAA 3 1 CHANGAA 3 GLASS 5 CHANGAA 3 GLASSES 1 CHANGAA 300ML*4 1 CHANGAA 4 X 200 ML 2 CHANGAA 6*200ML 1 CHANGAA 7 GLASSES 1 CHANGAA*4(200ML) 1 CHANGAA4 GLASS 1 CITIZEN 1 CITIZEN 2*300ML 1 GUINESS 2 GUINESS 3*500ML 1 I CHANGAA 200 ML 1 MURATINA 4 CUPS 1 N/A 4 NAPOLEON 205ML 1 NONE 5 PILSNER I BOTTLE 1 PILSNER(500ML*4) 1 SENATOR 10*500ML 1 SENATOR KEG 3 CUPS 1 SENATOR KEG 4 JAGS 1 SENATOR KEG 4*500ML 1 SENATOR KEG LAGER 1 TUSKER 1 TUSKER 5*500ML 1 TUSKER LAGER *3 1 TUSKER LAGER CHUPA 1 1 In last week, # of drinks had on Wednesday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 2 0 99 90.512 26.771 Number of drinks had on Wednesday In last week, type of drink had on Thursday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 0 Type of drink had on Thursday - 19 0 41 0-0 1 0.75KG *1BUSAA 1 00 168 1 CHANGAA 1 1 CHANGAA*200ML 1 1 FURAHA CANE 1 1 GLASS 200ML CHANGAA 1 1 GLASS OF CHANGAA 1 1 KGS BUSAA 1 1 LITRE OF SENATOR 1 1 LITRE SENATOR KEG 1 1 NAPOLEON BRANDY 1 1 SENATOR,ALLSOPPS 1 1 1*100ML CHANGAA 2 1*100ML CUP CHANGAA 1 1*1KG BUSAA 1 1*200ML CHANGAA 1 1*200ML GLASS 1 1*200ML GLASS CHANG'AA 1 1*500ML PILSNER 1 1*SENATOR 1 1.5 BUSA 1 1/2 KG BUSAA 1 1/4KG BUSA 1 10 200ML GLASS 1 10 500ML ALLSOPPS 1 10 GUINESS 1 10*1/2KG BUSAA 1 10*100ML CUP CHANG'AA 1 10*200 ML GLASS CHANG'AA 1 100ML CHANGAA 2 1KG BUSAA 2 1SENATOR KEG LAGER 1 1SENATOR KEG LAGER 500ML 1 2 ALLSOPS 1 2 CHANG'AA 2 2 CHANGAA 3 2 CHANGAA 200ML 1 2 CITIZEN 1 2 CUP OF CHANGAA 1 2 CUPS OF MURATINA 1 2 CUPS SENATOR 1 2 GLASS CHAANG'AA 1 2 GLASS CHANGAA 1 2 GLASS OF CHANG'AA 1 2 GUINNESS 2 2 SENATOR 500ML 1 2 TUSKER 1 2 X 100 ML CHANGAA 1 2 X 250 KENYA KING 1 2 X 300 ML 1 2*1/2KG BUSAA 1 2*1/2KG TIN BUSAA 1 2*100ML CHANGAA 1 2*1KGS BUSAA 1 1 2*200ML CHANGAA 5 2*200ML GLASS 1 2*2KG TIN 1 2*500ML CUP OF MURATINA 1 2*KG(TIN)BUSAA 1 200ML*2 1 200ML*4 1 2KG BUSAA 2 3 * 200ML CHANGAA 1 3 ALL SOPPS 1 3 ALLSOPPS 1 3 ALLSOPS 1 3 CASTLE LAGER 1 3 CHANG'AA 1 3 CHANGAA 1 3 CITIZEN 1 3 GLASS CHANG'AA 1 3 GLASS OF CHANGAA 2 1 3 GLASSES CHANG'AA 1 3 SMALL GLASS CHANGAA 1 3 TUSKER 1 3*100ML CHANGAA 1 3*1KG BUSAA 1 3*200ML CHANGAA 1 3*200ML GLASS 1 3*300ML CHANGAA 1 3*300ML GLASS CHANGAA 1 3*500 ML CHANGAA 1 3*500ML BOTTLE ALLSOPPS 1 3*CHANGAA 1 3*GLASSES CHANGAA 1 3*KG OF BUSAA 1 3*SENATOR LAGER 1 3*TUSKER LAGER 1 300ML CHANGAA 1 300ML GLASS CHANGAA 1 4 200ML GLASS 1 4 BUSAA 1 4 CHAG'AA ( GLASS) 1 4 CHANGAA 1 4 GLASS 100ML 1 4 GLASS CHANGAA 1 4 GLASS OF CHANGAA 1 4 SENATOR KEG 1 4 TUSKER 1 4*0.5KG BUSAA 1 4*100ML CHANGAA 1 4*200ML CHANGAA 1 4*200ML GLASS 2 4*300ML CITIZEN 1 4*500 ML BOTTLES TUSKERS 1 4*500ML MURATINA 1 4*CHANGAA 1 4*GUINNESS 500ML 1 4-CHANGAA 1 4KG BUSAA 2 1 5 CHANGAA 1 5 MURATINA OF 500ML 1 5 SENATOR KEG 1 5*200ML CHANG'AA 1 5*200ML CHANGAA 1 5*250ML MURATINA 1 5*500ML ALL SOPPS 1 5*500ML BOTTLE 1 1 500ML 10 SENATOR KEG 1 5TUSKER 1 6 CHANG'AA 1 6 GLASS CHANGAA 1 6 GLASSES CHANG'AA 1 6 MURATINA 2 6 TUSKER 2 6*200ML GLASS CHANGAA 1 600ML CHANGAA 2 7 ALLSOPPS 500ML 1 7*200ML GLASS 2 8 GLASS CHANGAA 1 8*500ML GUINESS 1 9*300ML TUSKER MALT 1 98 1 99 5033 998 1 ALLSOPPS 500ML*5 1 BUSA 1 BUSAA 1KG 1 CHANG'AA 1 GLASS 1 CHANG'AA 2*100ML 1 CHANGAA 1 GLASS 2 CHANGAA 1 GLASS 200ML 1 CHANGAA 1*200ML 1 CHANGAA 1GLASS 1 CHANGAA 2 1 CHANGAA 2 GLASS 2 CHANGAA 2 GLASSES 1 CHANGAA 2 X 200 ML 1 CHANGAA 200*3 1 CHANGAA 200ML 1 CHANGAA 3 GLASS 3 CHANGAA 3 X 200 ML 1 CHANGAA 3*200ML 2 CHANGAA 300ML*4 1 CHANGAA 4 GLASSES 1 CHANGAA 7 GLASSES 1 CHANGAA*4(200ML) 1 CHANGAA3 GLASS 1 GUINESS 3*500ML 1 I CHANGAA 200 ML 1 N/A 5 NONE 8 PILSNER 1 PILSNER 1 BOTTLE 1 POMBE YA MATUMBO 1 SENATOR 3 JAGS 1 SENATOR 5*500ML 1 SENATOR KEG LAGER 1 TUSKER LAGER *3 1 In last week, # of drinks had on Thursday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 2 0 105 90.495 26.986 Number of drinks had on Thursday In last week, type of drink had on Friday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 0 Type of drink had on Friday - 18 . 1 0 40 0-0 1 00 145 000 1 1 200ML GLASS 1 1 CHANG'AA 1 1 CHANGAA 1 1 CHANGAA*200ML 1 1 FURAHA CANE 1 1 GLASS 200ML CHANGAA 1 1 GLASS CHANGAA 1 1 GLASS OF CHANGAA 1 1 KENAY KING 1 1 KG OF BUSAA 1 1 TUSKER 1 1 TUSKER LAGER 1 1 VIKINGS BRANDY 1 1 X 300 ML 1 1* 300ML CHANGAA 1 1*100ML (CHANG'AA) 1 1*100ML CHANGAA 2 1*1KG TIN BUSAA 1 1*200ML CHANGAA 1 1*200ML GLASS 1 1*500ML PILSNER 1 1*KG(TIN)BUSAA 1 1.5 BUSA 1 1/2 KG BUSAA 1 1/2KG BUSA 1 1/2KG BUSAA, ALLSOPPS1 1 10 500ML ALLSOPPS 1 10*100ML CUP CHANG'AA 1 10*200 ML CHANG'AA 1 10*200ML GLASS 1 100ML CHANGAA 2 1SENATOR KEG LAGER 1 1SENATOR KEG LAGER 500ML 1 2 * TUSKER MALT 1 2 ALL SOPPS 1 2 ALLSOPS 1 2 CHANG'AA 1 2 CHANGAA 2 2 CITIZEN 1 2 CUP OF CHANGAA 1 2 GLASS CHAANG'AA 1 2 GLASS CHANGAA 2 2 GLASS OF CHANG'AA 1 2 GLASS OF CHANGAA 1 2 GUINESS 1 2 GUINNESS 1 2 GUINNESS 500ML 1 2 KENYA KING 1 2 SENATOR 500ML 1 2 SMALL GLASS CHANGAA 1 2 TUSKER 1 2 WHITE CAP LAGER 1 2 X 100 ML 1 2 X 300 ML CHANGAA 1 2* KUSKER 1 2*100ML CHANG'AA 1 2*1KG BUSAA 3 2*200ML CHANG'AA 1 2*200ML CHANGAA 5 2*200ML GLASS 2 2*250ML MURATINA 1 2*300ML CHANGAA 1 2*500 ML YUSKER 1 2*500ML 1 2*500ML BOTTLE ALLSOPPS 1 2*500ML PILSNER 1 2*500ML SENATOR 1 2*SENATOR 1 200ML*1 CHANGAA 1 200ML*3 1 200ML*4 1 2KG BUSAA 3 3 * KG BUSAA 1 3 200ML GLASS 1 3 ALLSOPS 1 3 CASTLE LAGER 1 3 CHANG'AA 1 3 CHANGAA 1 3 CHANGAA 200ML 1 3 GLASS CHANG'AA 1 3 GLASS CHANGAA 1 3 GLASS CHANGAA *13.2 1 3 GLASS OF CHANGAA 2 3 GLASSES CHANG'AA 1 3 KG 1 3 PILSNER 1 3 SMALL GLASS CHANGAA 1 3 TUSKER 3 3 TUSKER LAGER 1 3*100ML CHANGAA 1 3*200ML CHANGAA 3 3*205ML KENYA KING BOTTLE 1 3*2KG TIN 1 3*300ML GLASS CHANGAA 1 3*500 ML CHANGAA 1 3*500ML 1 3*500ML ALL SOPPS 1 3*500ML TUSKER LAGER 1 3*GLASSES CHANGAA 1 1 3*SENATOR LAGER 1 300ML CHANGAA 1 300ML GLASS CHANGAA 1 4 * 200ML CHANGAA 1 4 500ML CUP 1 4 BOTTLES PILSNER 1 4 BUSAA 1 4 CHAG'AA ( GLASS) 1 4 CHANGAA 2 4 GLASS OF CHANGAA 1 4 KASUKU TIN BUSAA 1 4 SENATOR KEG 1 4 TUSKER 1 4 TUSKER LAGER 1 4 X 300 ML TUSKER MALT 1 4*0.5KG BUSAA 1 4*1KG BUSAA 1 4*200ML CHANGAA 3 4*200ML GLASS 1 4*500ML CUP 1 4*500ML CUP MURATINA 1 4*500ML MURATINA 1 4*CHANGAA 1 4*MURATINA 1 4*TUSKER LAGER 1 4-CHANGAA 1 4KG BUSAA 1 5 CHANGAA 1 5 TUSKER 3 5*200 ML GLASS CHANG'AA 2 5*200ML GLASS 1 5*200ML GLASSS 1 5*500ML TUSKER 1 5*GUINNES 500ML 1 500ML 10 SENATOR KEG 1 500ML*7 SENATOR KEG 1 5PILSNER 2.4*5 1 6 ALL SOPPS 1 6 CHANG'AA 1 6 GLASS CHANGAA 1 6 MURATINA 1 6*200ML GLASS 1 600ML CHANGAA 1 7 MURATINA 1 7 MURATINA OF 500ML 1 7 PILSNER 1 7 PLISNER 1 7*200ML CHANGAA 1 7*500 ML 1 8*1/2KG BUSAA 1 8*300ML TUSKER MALT 1 98 1 99 5020 998 1 BUSAA 1KG 1 CHANGAA 1 GLASS 2 CHANGAA 1*200ML 2 CHANGAA 100ML 1 CHANGAA 1GLASS 1 CHANGAA 2 GLASS 2 CHANGAA 2 GLASSES 1 CHANGAA 2*200ML 2 CHANGAA 200*4 1 CHANGAA 200ML 1 CHANGAA 3 2 CHANGAA 3 GLASS 6 CHANGAA 3 GLASSES 2 CHANGAA 3 X 200 ML 1 CHANGAA 300ML*4 1 CHANGAA 4 GLASS 2 CHANGAA 4 X 200 ML 1 CHANGAA 4*200ML 1 CHANGAA 5*200ML 1 CHANGAA 7 GLASSES 1 CHANGAA =4 GLASS 1 CHANGAA*4(200ML) 1 CHANGAA3 GLASS 1 CITIZEN 1 GUINESS 3*300ML 1 KENYA KING 1 MTI NI DAWA 1 MURATINA 5 CUPS 1 N/A 3 NO DRINK 1 NONE 10 PILSNER 3 BOTTLES 1 SENATOR 10*500ML 1 SENATOR KEG 2*500ML 1 SENATOR KEG 3 CUPS 1 SENATOR KEG 3 JAGS 1 SENATOR KEG LAGER 1 SENATOR KEG=3 1 TUSKER 2 TUSKER LAGER *8 1 TUSKER LAGER*5 1 In last week, # of drinks had on Friday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 2 0 99 90.501 26.816 Number of drinks had on Friday In last week, type of drink had on Saturday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 0 Type of drink had on Saturday - 6 0 13 00 91 1 CHANGAA 100ML GLASS 1 1 CHANGAA*200ML 1 1 FURAHA CANE 3 1 GLASS CHANGAA 2 1 GLASS OF CHANGAA 1 1 GUINESS MALTA 1 1 LITRE 1 1 LITRE OF SENATOR 1 1 MERRY CANE 1 1 MURATINA(500)ML 1 1*1 KG BUSAA 1 1*100ML CHANGAA 1 1*200ML CHANGAA 2 1*205ML 1 1*500ML PILSNER 1 1.5*1KG BUSAA 1 1/2 KG BUSA 1 1/2 KG BUSAA 1 1/2 MARY CANES 1 10 500ML ALLSOPPS 1 10 MURATINA 1 10 TUSKER 1 10 X TUSKER LAGER 1 10*1/2KG BUSAA 1 10*200 ML GLASS CHANG'AA 1 10*200ML GLASS 1 10*500M PILSNER 1 10*500ML CUP MURATINA 1 100ML CHANGAA 3 10KG 500ML 1 15 GUINESS 1 1KG BUSAA 1 1KG BUSAA=3 TINS 1 1L*1 SENATOR 1 1SENATOR KEG LAGER 1 1SENATOR KEG LAGER 500ML 1 2 * TUSKER MALT 1 2 200ML GLASS 1 2 ALL SOPPS 2 2 CHANG'AA 1 2 CHANGAA 5 2 CHANGAA 200ML 1 2 CITIZEN 1 2 CUP OF CHANGAA 1 2 CUPS SENATOR KEG LAGER 1 2 GLASS CHANGAA 3 2 GLASS OF CHANG'AA 2 2 GUINESS 1 2 GUINNESS 3 2 MARR CANE 1 2 NAPOLEON BRANDY 1 2 PILSNER 3 2 SENATOR 1 2 SENATOR 500ML 2 2 SENATOR LAGER 1 2 TUSKER 1 2 VIKINGS BRANDY 1 2 X 100 ML 1 2 X 300 ML 1 2 X 300 ML CHANGAA 1 2*1 250ML BOTTLE 1 2*100ML CHANG'AA 3 2*100ML CHANGAA 2 2*100ML CUP CHANGAA 1 2*1KG BUSAA 2 2*1KGS BUSAA 1 2*1LITRE SENATOR 1 2*200ML CHANG'AA 1 2*200ML CHANGAA 4 2*200ML GLASS 1 2*2KG TIN 1 2*500 ML TUSKER 1 2*500ML OF GUINESS 1 2*500ML SENATOR 1 200ML CHANGAA 1 200ML*3 1 200ML*5 1 2GLASSES CHANGAA 1 2KG 1 2KG BUSAA 2 3 * 500ML ALLSOPS 1 3 ALLSOPPS 1 3 ALLSOPS 2 3 CASTLE LAGER 1 3 CHANGAA 1 3 GLASS CHANGAA 1 3 GLASS OF CHANGAA 3 3 GLASS SENATOR KEG 1 3 KG 1 3 ML GLASS CHANGAA 1 3 SENATOR KEG 1 3 SMALL GLASS CHANGAA 2 3 TUSKER 5 3 TUSKER LAGER, 100ML CHANGAA 1 3 X 1 KG BUSAA 1 3 X 100 ML CHANGAA 1 3* 1KG TIN BUSAA 1 3* MURATINA 1 3*100ML CHANGAA 2 3*1KG BUSAA 3 3*200ML CHANG'AA 1 3*200ML CHANGAA 4 3*200ML GLASS 4 3*300ML GLASS CHANGAA 1 3*3KG 1 3*500 ML CHANGAA 1 3*500ML 2 3*500ML CUP OF SENATOR KEG LAGER 1 3*500ML GUINESS 1 3*500ML MURATINA 1 3*500ML SENATOR 3 3*500ML SENATOR KEG CUP 1 3*500ML SENATOR KEG LAGER 1 3*500ML TUSKER LAGER 1 3*CHANGAA 1 3*CITIZEN 300ML 1 3*GLASSES CHANGAA 1 3*KG(TIN)BUSAA 1 3*SENATOR 1 3*TUSKER LAGER 1 300ML CHANGAA 1 300ML CHANGAA*1 1 300ML GLASS CHANGAA 1 300ML GLASS CHANGAA 3 1 3CUPS OF MURATHINA 1 3PILSNER LAGER 1 4 * 200ML CHANGAA 1 4 200ML GLASS 1 4 ALLSOPPS 3 4 BUSAA 1 4 CHAG'AA ( GLASS) 1 4 CHANGAA 1 4 GLASS CHAANG'AA 1 4 GLASS CHANG'AA 1 4 GLASS OF CHANGAA 1 4 GLASSES CHANG'AA 1 4 GLASSES CHANGAA 1 4 GUINNESS 1 4 LITRES SENATOR KEG 1 4 PILSNER 3 4 SENATOR 1 4 SMIRNOFF 1 4 TUSKER 2 4 TUSKER LAGER 2 4 WHITE CAP LAGER 1 4 X 500 ML 1 4* 1 4* ALLSOPPS 1 4*100ML 1 4*100ML CHANGAA 1 4*200 ML CHANGAA 1 4*200ML CHANG'AA 1 4*200ML CHANGA 1 4*200ML GLASS 2 4*250ML MURATINA 1 4*300ML CHANGAA 1 4*500 ML 1 4*500ML 1 4*500ML (ALLSOPPS) 1 4*500ML ALL SOPPS 1 4*500ML BOTTLE ALLSOPPS 1 4*500ML CUP 2 4*500ML MURATINA 2 4*500ML PILSNER 1 4*500ML TUSKER 1 4*KG OF BUSAA 1 1 4*TUSKER 1 4-CHANGAA 1 4KG BUSAA 1 1 5 ALL SOPPS 1 5 CHANGAA 2 5 PILSNER 1 5 PILSNER 500ML 1 5 SENATOR KEG 1 5 SENATOR KEG LAGER 1 5 SENATOR LAGER 1 5 TUSKER 1 5 TUSKER LAGER 500ML 1 5*1KG 1 5*200ML CHANGAA 1 5*200ML GLASS CHANGAA 1 5*205 KENYA KING BOTTLE 1 5*300ML CITIZEN 1 5*500 ML CUP 1 5*500ML 1 5*500ML BOTTLE 1 5*500ML CUP 1 5*CHANGAA 1 500ML 10 SENATOR KEG 1 500ML BOTTLE GUINESS 1 5PILSNER 2.4*5 1 6 CHANG'AA 1 6 GLASS CHANGAA 1 6 GLASSES CHANG'AA 1 6 MURATINA 1 6 TUSKER 2 6*500ML 1 1 6*500ML CUP MURATINA 1 6*500ML PILSNER 1 6*GUINNESS 500ML 1 600ML CHANGAA 1 7 MURATINA OF 500ML 1 7 TUSKER 1 8 TUSKER 1 8*200 ML CHANG'AA 1 8*300ML TUSKER MALT 1 8*500 1 8*500ML BOTTLE PILSNER 1 8*500ML GUINESS 1 98 1 99 4980 998 1 ALLSOPPS 1 ALLSOPPS 500ML*7 1 ALLSOPS 1 BUSA2*1KG TIN 1 BUSAA 1KG 1 BUSAA 1KG TIN *2 1 BUSAA KG 1 BUSAA0.5KG 1 CHANG'AA 1 GLASS 1 CHANG'AA 2 GLASS 1 CHANG'AA 2*100ML 1 CHANGAA 3 CHANGAA 1 GLASS 2 CHANGAA 1*200ML 1 CHANGAA 13.2*5 1 CHANGAA 1GLASS 1 CHANGAA 2 GLASS 2 CHANGAA 2 GLASSES 1 CHANGAA 2*200ML 1 CHANGAA 200*4 1 CHANGAA 200ML 2 CHANGAA 3 2 CHANGAA 3 GLASS 6 CHANGAA 3 GLASS 200ML 1 CHANGAA 3 GLASSES 4 CHANGAA 3 X 200 ML 2 CHANGAA 300ML*4 1 CHANGAA 4 GLASS 3 CHANGAA 6*200ML 1 CHANGAA 7 GLASSES 1 CHANGAA*4(200ML) 1 CHANGAA3 GLASS 1 CITIZEN 300ML*6 1 CITIZEN 4*300ML 1 GUINESS 1 GUINNESS 1 GUINNESS 4 BOTTLES 1 I CHANGAA 200 ML 1 I KG BUSAA 1 KENYA KING 1 KENYA KING (2) 1 KENYA KING 1 1 MARRY CAE SPECIAL 1 MARRY CANE 1 MARRYCANE 1 MTI NI DAWA 1 MURATINA 2 MURATINA *500ML *2ML 1 MURATINA 10 CUPS 1 MURATINA 500ML CUP 1 N/A 5 NO DRINK 1 NONE 10 PILSNER 1 1 PILSNER 2 BOTTLES 1 PILSNER*4 1 PILSNER+CHANG'AA 1 POMBE YA MATUMBO 1 SENATOR 10*500ML 1 SENATOR 2 1 1 SENATOR KEG 1 SENATOR KEG 3 CUPS 1 SENATOR KEG 4 JAGS 1 SENATOR KEG2*500ML 1 SENATOR KEG=3 2 TUSKER 2 TUSKER 500 ML 1 TUSKER LAGER *3 1 TUSKER LAGER 3 1 TUSKER LAGER 5 1 TUSKER LAGER*4 1 TUSKER MALT LAGER 2 1 In last week, # of drinks had on Saturday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 2 0 99 90.722 25.981 Number of drinks had on Saturday In last week, type of drink had on Sunday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 0 Type of drink had on Sunday - 10 0 23 00 102 000 1 1 BUSA 1 1 CHANGAA*200ML 1 1 FURAHA 1 1 GLASS CHANGAA 1 1 GLASS OF CHANG'AA 1 1 GLASS OF CHANGAA 1 1 MARRY CANE 1 1 X 250 ML KENYA KING 1 1 X 300 ML 1 1*100ML CHANGAA 1 1*1KG BUSAA 1 1*300ML BOTTLE CITIZEN 1 1*500ML CHANGAA 1 1*500ML PILSNER 1 1*GLASS CHANGAA 1 1 1.5 FURAHA 1 10 500ML ALLSOPPS 1 10 KEG 500ML 1 10 MURATINA OF 500ML 1 10*1/2KG BUSAA 1 10*100ML CUP CHANG'AA 1 10*200 ML GLASS CHANG'AA 1 10*200ML GLASS 1 10*300ML TUSKER MALT 1 100ML CHANGAA 2 100ML*1 CHANGAA 1 12 MURATINA 1 15*500ML GUINESS 1 1GLASS CHANGAA 1 1KG BUSAA 1 1KG BUSAA=3 TINS 1 1KG IF BUSAA 1 1KG TIN BUSAA 1 1SENATOR KEG LAGER 1 1SENATOR KEG LAGER 500ML 1 2 ALLSOPS 1 2 CHANG'AA 2 2 CHANGAA 2 2 CITIZEN 2 2 CUP OF CHANGAA 1 2 GLASS CHAANG'AA 1 2 GLASS OF CHANG'AA 1 2 GUINNESS 1 2 MERRYCANE OF 250ML 1 2 PILSNER 4 2 SENATOR 500ML 1 2 SENATOR 50ML 1 2 TUSKER 2 2*(200ML )SMALL GLASS 1 2*1 LITRE SENATOR 1 2*100ML CHANGAA 1 2*100ML CUP CHANG'AA 1 2*1KG BUAA 1 2*1KG BUSAA 4 2*1KG TIN BUSAA 1 2*200ML CHANGAA 2 2*200ML GLASS 1 2*2KG TIN 1 2*500 ML CUP 1 2*500ML CUP 1 2*500ML PILSNER 1 2*500ML SENATOR 1 2*SENATOR KEG LAGER 1 200ML CHANGAA*2 1 200ML*4 1 200ML*5 1 2GUINNESS 1 2KG BUSAA 2 2SMIRNOFF ICE BLACK 1 3 200ML GLASS 1 3 ALLSOPPS 2 3 ALLSOPPS 500ML,2 CITIZEN 300ML 1 3 ALLSOPS 1 3 CASTLE LAGER 1 3 CHANGAA 1 3 CITIZEN 3 3 CUP MURATINA 1 3 CUPS OF MURATINA 1 3 GLASS CHANGAA 3 3 GLASS CHANGAA *13.2 1 3 GLASS OF CHANGAA 1 3 GLASS OFCHANGAA 1 3 GLASS SENATOR KEG 1 3 GLASSES CHANG'AA 1 3 GUINESS 1 3 GUINNESS 1 3 PILSNER 1 3 PILSNER LAGER 1 3 SMALL GLASS CHANGAA 2 3 TUSKER 1 3 TUSKER LAGER 1 3 X 100 ML CHANGAA 1 3 X 300 ML TUSKER MALT LAGER 1 3* 500ML SENATOR KEG 1 3*100ML CHANG'AA 1 3*100ML CHANGAA 2 3*100ML CUP CHANGAA 1 3*1KGS BUSAA 1 3*1LITRE SENATOR 1 3*200ML CHANG'AA 1 3*200ML CHANGAA 4 3*200ML GLASS 2 3*300ML CHANG'AA 1 3*300ML GLASS CHANGAA 1 3*500ML 1 3*500ML ALLSOPS 1 3*500ML BOTTLE 1 3*500ML PILSNER 1 3*500ML SENATOR 1 3*GLASSES CHANGAA 1 1 300ML CHANGAA 1 300ML GLASS CHANGAA 3 1 3KG BUSAA 1 4 1 1 4 * 200ML CHANGAA 1 4 ALL SOPPS 1 4 ALLSOPPS 1 4 BUSAA 1 4 CHAG'AA ( GLASS) 1 4 CHANG'AA 1 4 CHANGAA 1 4 CITIZEN 1 4 CUPS OF MURATINA 1 4 GLASS OF CHANGAA 2 4 GUINNESS 1 4 KASUKU TIN BUSAA 1 4 PILSNER 1 4 SENATOR KEG 2 4 TUSKER 2 4 TUSKER LAGER 1 4 TUSKERS 1 4* CASTLE LAGER 1 4*1/2KG BUSAA 1 4*100ML 1 4*100ML CHANGAA 1 4*100ML CHANHAA 1 4*1KG TIN BUSAA 1 4*1KGS BUSAA 1 4*200ML CHANGAA 3 4*200ML GLASS 2 4*200ML GLASS CHANG'AA 1 4*200ML GLASS CHANGAA 1 4*300ML CHANGAA 1 4*500 ML BOTTLE TUSKERS 1 4*500 ML CHANGAA 1 4*500ML ALL SOPPS 1 4*500ML CUP 1 4*500ML CUP MURATINA 1 4*500ML MURATINA 1 4*500ML SENATOR 1 4*500ML SENATOR KEG CUP 1 4*500ML TUSKER 2 4*500ML TUSKER LAGER 1 4*CHANGAA 1 4*CITIZEN 300ML 1 4*KG(TIN)BUSAA 1 4*SENATOR 1 4-CHANGAA 1 4KG 1 4KG BUSAA 1 5 BOTTLES PILSNER 1 5 CHANGAA 2 5 CHANGAA 200ML 1 5 GLASS CHANG'AA 1 5 PILSNER 500ML*3 1 5 TUSKER 1 5 WHITE CAP LAGER 1 5 X 100 ML 1 5*200ML CHANGAA 3 5*200ML GLASS 2 5*300ML CITIZEN 1 5*500ML 1 5*500ML CUP 1 5*500ML PILSNER 1 5*CHANGAA 1 5*KG OF BUSAA 1 500ML 10 SENATOR KEG 1 500ML BOTTLE 1 500ML TUSKER*1 1 500ML TUSKER*7 1 6 200ML GLASS 1 1 6 ALL SOPPS 1 6 CHANG'AA 1 6 GLASS CHANGAA 2 6 LITRE CUPS SENATOR KEG LAGER 1 6 MURATINA 1 6*200 ML GLASS CHANG'AA 1 6*200ML CHANG'AA 1 6*200ML CHANGAA 2 6*200ML GLASS 1 6*500ML 1 6*500ML BOTTLE 1 600ML CHANGAA 1 7*250ML MURATINA 1 7*500ML BOTTLE 1 8 TUSKER 1 8*200 ML CHANG'AA 1 8*200ML GLASS 1 98 1 99 5002 ALL SOPPS 2 1 ALLSOPPS 3*500ML 1 ALLSOPS 1 ALLSOPS 2 BOTTLES 1 BUSA 1KG TIN 1 BUSAA 1.5KG 1 BUSAA 2KG 1 BUSAA KG 1 BUSAA2*1 KG 1 CHANG'AA 1 GLASS 1 CHANG'AA 3*100ML 1 CHANG'AA 3*200 ML 1 CHANGAA 2 CHANGAA 1*200ML 1 CHANGAA 100ML 1 CHANGAA 2 GLASS 2 CHANGAA 2 GLASSES 2 CHANGAA 2*200ML 1 CHANGAA 200*4 1 CHANGAA 200ML*2 1 CHANGAA 2GLASS 1 CHANGAA 3 1 CHANGAA 3 GLASS 4 CHANGAA 3 GLASSES 3 CHANGAA 3*200ML 1 CHANGAA 300ML*4 1 CHANGAA 4 1 CHANGAA 4 GLASS 4 CHANGAA 4 GLASSES 2 CHANGAA 4 X 200 ML 1 CHANGAA 5 GLASS 3 CHANGAA 5 X 200 ML 1 CHANGAA 6*200ML 1 CHANGAA CHUPA 200ML 1 CHANGAA*4(200ML) 1 CHANGAA4 GLASS 1 CITIZEN 300ML*4 1 FURAHA CANE 1 GUINESS 1 GUINNESS 1 I KG BUSAA 1 I X 1 KG TIN 1 KEG 4 1 KENYA KING 1 MARRY CANE 1 ML PILSNER 1 MURATINA 1 MURATINA 10 CUPS 1 NAPOLEON 250ML*1 1 NO DRINK 1 NONE 9 PILSNER 2.4*5 1 PILSNER 3 1 PILSNER 4 BOTTLES 2 PILSNER(500ML*4) 1 SENATOR 10*500ML 1 SENATOR 2 500ML 1 SENATOR KEG 3 JAGS 1 SENATOR KEG 5 CUPS 1 SENATOR KEG=3 1 SENATOR KEG=4 1 TUSKER 3*500ML 1 TUSKER 500ML*3 1 TUSKER LAGER 3 1 TUSKER LAGER 5 1 TUSKER LAGER CHUPA 2 1 TUSKER MALT LAGER 2 1 In last week, # of drinks had on Sunday Respondent 14.21 During each of the past 7 days, how many standard drinks of any alcoholic drink did you have each day? All DSS Residents 50 years and above 5468 2 0 105 90.898 25.775 Number of drinks had on Sunday How many days in a week do you eat fruit Respondent 14.22 In a typical week, on how many days do you eat fruit? DONT KNOW...98 IF DONT KNOW, CIRCLE 98; IF ZERO DAYS, SKIP TO 14.24 All DSS Residents 50 years and above 5468 2 Number of days in week when eats fruit 0 384 1 537 2 799 3 956 4 495 5 287 6 212 7 1783 95 Missing 2 97 Refused 0 98 Don't Know 13 99 NA 0 Sysmiss 2 How many servings of fruit do you eat in a day Respondent 14.23 How many servings of fruit do you eat in one of those days DONT KNOW...98 All DSS Residents 50 years and above 5468 2 Number of fruit servings in each day 0 5 1 2203 2 1339 3 807 4 377 5 184 6 78 7 35 8 19 9 6 10 4 11 3 12 2 20 1 95 Missing 3 97 Refused 1 98 Don't Know 17 99 NA 384 Sysmiss 2 How many days in a week do you eat veges Respondent 14.24 In a typical week, on how many days do you eat vegetables? DONT KNOW...98 IF DONT KNOW, CIRCLE 98; IF 00 DAYS SKIP TO 14.26 All DSS Residents 50 years and above 5468 2 Number of days in week when eats vegetable servings 0 22 1 46 2 172 3 367 4 460 5 512 6 315 7 3561 95 Missing 1 97 Refused 2 98 Don't Know 9 99 NA 1 Sysmiss 2 How many servings of veges do you eat in a day Respondent 14.25 How many servings of vegetables do you eat in one of those days? DONT KNOW...98 USE THE SHOWCARDS TO CALCULATE THE NUMBER OF VEGETABLE SERVINGS HAD IN A TYPICAL DAY. IF DONT KNOW, CIRCLE 98 All DSS Residents 50 years and above 5468 2 Number of vegetable servings in a day 0 6 1 292 2 1196 3 1065 4 859 5 560 6 317 7 165 8 255 9 224 10 127 11 47 12 21 13 11 14 3 15 4 16 3 17 2 18 3 20 3 25 1 95 Missing 2 97 Refused 1 98 Don't Know 277 99 NA 24 Sysmiss 2 Do you cook in your household? Respondent 14.26 Do you cook in your household/are meals prepared in the household in which you live? YES...1;NO...2;SKIP TO 14.29 All DSS Residents 50 years and above 5468 2 Do you cook in Household 1 Yes 5338 2 No 127 5 Missing 0 6 1 7 Refused 1 9 NA 1 Sysmiss 2 Name of oil/fat mostly used Respondent 14.27 What is the name of the oil or fat that is most often used for meal preparation in your household? All DSS Residents 50 years and above 5468 0 Name of oil/fat mostly used in Household (UNKNOWN) YELLOW 2 (UNKNOWN)YELLOW 2 7 1 9 132 95 1 A18 1 ANIMAL FAT 13 ANIMALS FAT 1 ANY COOKING FAT (YELLOW) 1 ANY COOKING FAT WHITE 1 ANY COOKING FAT( YELLOW) 1 BAHARI 14 BAHARI FRY 1 BAHARI GOLD 1 BLUE BAND 1 BLUE BAND (OTHER) 1 CAPTAIN COOK 1 CHEF 6 CHIPO 19 CHIPSY 18 COEBOY 1 COWBOY 25 DON'T USE ANY OIL 1 EAT STEAMED FOOD NO FAT NO SALAD 1 ELIANTO 108 FRESH 1 FRESH FRI 7 FRESH FRY 42 FRY KING 9 FRY MATE 41 FRY- KING 1 FRY-MATE 1 FRYKING 4 FRYMATE 26 GOATS FAT 1 GODEN FRY 2 GOLDEN 7 GOLDEN FRHY 1 GOLDEN FRY 243 GOLDEN FRY SALAD 1 INKNOWN (YELLOW) 1 INKNOWN YELLOW 1 JOMA 5 KAPA 1 KAPPA 1 KARIBU(OTHER) 1 KASUKSU 1 KASUKU 1247 KASUKU. 1 KASUKUA 1 KASUKUI 1 KASUKUKU 1 KIBIKO 1 KIBOKO 1 KIMBO 466 KKASUKU 1 KNOWN WHITE 1 LARD (LOCAL ANIMAL)-( NG'OMBE) 1 LOCAL ANIMAL FAT 6 LOCAL ANIMAL FATS 5 LOCAL ANIMAL FATS (KONDOO) 1 LOCAL ANIMALS(KONDOO) 1 MAFUTA YA KONDOO 1 MAFUTA YA MBUZI 1 MAFUTA YA MBUZI (LOCAL ANIMAL FATS) 1 MAFUTA YA NG'OMBE 1 MAFUTA YA NGOMBE 2 MALLO 52 MALLOU 1 MALLOW 2 MALO 2 MPISH POA 1 MPISHI POA 4 MUNKNOWN YELLOW 1 OIL SUNFLOWER 1 OTHER (BLUE BAND) 1 OTHER(CHICKEN OIL) 1 POA 1 POA MPISHI 1 POPCO 2 RINA 172 RINA (SALAD) 1 RINA OIL 1 RINA SALAD 6 RINA SALAND 1 RINA SUNFLOWER OIL 2 RINA(SALAD) 3 SALAD 107 SALAD (ELIANTO 1 SALAD (RICE) 1 SALAD (RINA) 3 SALAD (UFUTA) 1 SALAD (UNKNOWN) 1 SALAD AND ANIMAL FAT 1 SALAD OIL 16 SALAD OIL MIXED WITH ANIMAL FAT 1 SALAD RINA 19 SALAD UFUTA 1 SALAD UNKNOWN 7 SALAD(RINA) 5 SALAD(UFUTA) 1 SALAD(UKNOWN ) 1 SALAD(UNKNOWN) 5 SALAND 1 SEA GULL 1 SEA-GULL 1 SEAGULL 1 SEAGUM 1 SOMA 1 SOMO 20 SOYA GOLD 4 SUN GOLD 3 SUNFLOWER OIL 3 SUNFLOWER SALAD 1 SUNGOLD 2 TILLY 64 TILY 62 TLIIY 1 TOP FRY 5 UFUTA 13 UFUTA(SALAD) 1 UFUTA-SALAD 1 1 UKNOWN WHITE 2 UKNOWN YELLOW 12 UKNOWN( YELLOW) 1 UN KNOWN YELLOW 1 UNK YELLOW 1 UNKNONWN(YELLOW) 1 UNKNOW SALAD 3 UNKNOW WHITE 1 UNKNOW YELLOW 11 UNKNOW(YELLOW) 1 UNKNOWN 10 1 1 8 UNKNOWN ( YELLOW) 1 UNKNOWN (SALAD) 1 UNKNOWN (WHITE) 22 UNKNOWN (YELLO) 1 UNKNOWN (YELLOW) 98 UNKNOWN FAT 1 UNKNOWN NWHITE 1 UNKNOWN SALAD 95 UNKNOWN SALAND 5 UNKNOWN SALENDA 1 UNKNOWN WHIT 1 UNKNOWN WHITE 200 UNKNOWN Y 1 UNKNOWN YALLOW 1 UNKNOWN YELLIOW 1 UNKNOWN YELLLOW 2 UNKNOWN YELLO 1 UNKNOWN YELLOA 1 UNKNOWN YELLOW 1425 UNKNOWN YELLW 2 UNKNOWN YELOW 6 UNKNOWN YLELOW 1 UNKNOWN YUELLOW 1 UNKNOWN(SALAD) 1 UNKNOWN(WHITE) 5 UNKNOWN(WIHITE) 1 UNKNOWN(YELLLOW) 1 UNKNOWN(YELLOW) 30 UNKNOWN(YELLOW)) 1 UNKNOWNN "(YELLOW) 1 UNKNWON YELLOW 3 UNKNWOWN YELLOW 2 UNKONWN YELLOW 1 UNKOWN (WHITE) 1 UNKOWN WHITE 3 UNKOWN YELLOW 5 UNKOWN(SALAD) 1 UNKWOWN WHITE 1 UNNKNOWN YELLOW 1 UNNKOWN (WHITE) 1 UNNKOWN (YELLOW) 1 UNNOWN YELLOW 1 UNOWN YELLOW 1 UUNKNOWN YELLOW 2 VEEBOL 1 VEGETABLES (FRY MATE) 1 WHITE 1 WHITE (UNKNOWN) 1 WHITE UNKNOWN 13 WHITE( UNKNOWN) 1 WHITE(UNKNOWN) 3 YELLLOW 1 YELLO YELLO(UNKNOWN) 1 YELLOW 47 YELLOW (UNKNOWN ) 1 YELLOW (UNKNOWN) 6 YELLOW COOKING FAT 3 YELLOW FAT 2 YELLOW GOLD 50 YELLOW GRID 1 YELLOW UNKNOW 1 YELLOW UNKNOWN 220 YELLOW UNKOWN 2 YELLOW UNKWNON 1 YELLOW(UNKNOW) 1 YELLOW(UNKNOWN 1 YELLOW(UNKNOWN ) 1 YELLOW(UNKNOWN) 9 YELLOW(UNKNOWN0 1 YELLOW(UNKOWN) 1 YELOW UNKNOWN 1 ZEINFUN 1 ZESTA 1 Code of the oil/fat mostly used Respondent RECODE THE TYPE OF FAT MOST OFTEN USED. USE CODE SHEET B All DSS Residents 50 years and above 5468 0 Code of oil/fat mostly used in Household 017 1 06 1 995 1 997 1 999 134 A01 470 A02 1233 A03 26 A04 3 A05 6 A06 66 A07 18 A08 21 A09 50 A10 59 A11 127 A12 5 A13 19 A14 6 A15 2 A16 3 A17 264 A18 1948 A19 17 A20 10 AO2 1 B01 213 B02 116 B03 2 B04 29 B05 18 B06 7 B07 17 B08 5 B09 242 B10 2 B11 1 B12 6 B13 19 B14 5 B15 218 B16 28 B17 1 B18 3 B19 1 BA2 1 BO1 1 C04 34 C05 2 D03 1 D15 2 G09 1 a13 1 How often do you have meals outside home Respondent 14.29 How often do you have meals outside the home (not including food packed from home)? DAILY...01; 5-6 DAYS PER WEEK...02;1-4 DAYS PER WEEK; 1-3 DAYS PER MONTH; LESS THAN ONCE A MONTH...05;NEVER...06OTHER...96; IF NEVER SKIP TO 14.32A CIRCLE ONLY ONE RESPONSE All DSS Residents 50 years and above 5468 2 Frequency of meals outside the home 1 Daily 524 2 5-6 days a week 1145 3 1-4 days a week 899 4 1-3 days a month 312 5 Less than once a month 111 6 Never 2473 95 1 96 Other 1 97 1 99 1 Sysmiss 2 Where mostly do you get food Respondent 14.30 Where do you mostly get food from, when you eat outside the home? Restaurant...01;Roadside eatery...02;Fastfood joint/Take away...03;Bakery/Pastry shop...04;Ordinary shop...05;Food vendor...06;Fruit stall...07;Other...96 All DSS Residents 50 years and above 5468 2 Main source of food (Outside the Home) 1 Restaurant 645 2 Roadside eatery 1729 3 Fastfood joint 244 4 Bakery/Pastry shop 47 5 Ordinary shop 86 6 Food vendor 174 7 Fruit stall 15 95 Missing 8 96 Other 45 97 1 99 NA 2474 Sysmiss 2 Other place you get food from Respondent Other (specify)...96 All DSS Residents 50 years and above 5468 0 Other main source of food (Not listed in the provided options) 99 5426 AT SCHOOL 2 BUTCHERY 3 CANTEEN 1 CHILD COOKS AND BRINGS HIM FOOD 1 COLLEGE 1 COMPANY CANTEEN 1 FOOD BOUGHT BY FREINDS 1 FOOD IS PROVIDED AT WORK 1 FOOD IS PROVIDED BY THE COMPANY 1 FOOD PROVIDED AT PLACE OF WORK 1 FOOD PROVIDED AT WORKING PLACE 1 FOOD PROVIDED BY SCHOOL 1 FRIENDS AND NEIGHBOURS 1 FROM FRIENDS 1 FROM HER DAUGHTER 1 FROM NEIGHBOURS 1 GET READY FOOD FROM HER DAUGHTER 1 GETS FOOD FROM DAUGHTERS PLACE 1 GRANDCHILD HOUSE 1 HER CHILD PROVIDE FOOD FOR HER 1 IN SCHOOL 2 INSTITUTION/SCHOOL 1 NEIGHBOURS 1 NEIGHBOURS' HOUSE 1 PROVIDED IN THE WORKING PLACE 1 SCHOOL 4 SCHOOL KITCHEN 1 SHE EATS AT A SCHOOL WHERE SHE WORKS 1 SHE WORKS IN THE SCHOOL 1 TAKES LUNCH IN A HOUSE WHERE SHE WORK 1 THE FOOD IS BEING COOKED IN SCHOOL 1 THE FOOD IS COOKED BY HIS CHILDREN FROM THEIR HOUSE 1 UNCLES HOUSE 1 WELL WISHERS 1 WORKING PLACE 1 What most likely to eat outside home Respondent 14.31 What are you most likely to eat, when you eat outside the home? RECORD DETAILS OF FOOD THE RESPONDENT USUALLY EATS, AND GO TO 14.32 All DSS Residents 50 years and above 5465 0 Food most eaten when eating outside home Do you add salt while cooking Respondent 14.32a Do you add salt to vegetables while cooking? YES...1;NO...2 All DSS Residents 50 years and above 5468 2 Do you add salt to vegetables while cooking 1 Yes 2470 2 No 26 5 Missing 4 6 1 7 Refused 0 9 NA 2967 Sysmiss 2 Do veges you eat usually have salt in eat? Respondent 14.32 Do the vegetables you eat usually have salt in them? YES...1;NO...2 All DSS Residents 50 years and above 5468 2 Vegetables you usually eat are salted 1 Yes 5414 2 No 50 5 Missing 1 6 1 7 Refused 0 9 NA 2 Sysmiss 2 Do you add salt when eating? Respondent 14.33 Do you add salt to your food when you are eating? (IF YES HOW OFTEN) Yes, most of the time...1; Yes, some of the time...2;Yes, but in rare cases...3;Never...4 CIRCLE ONLY ONE RESPONSE All DSS Residents 50 years and above 5468 2 How often do you add salt to food when eating 1 Yes, most of the time 312 2 Yes, some of the time 1571 3 Yes but in rare cases 2276 4 Never 1306 6 1 7 1 9 1 Sysmiss 2 How often do you eat red meat Respondent 14.34 How often do you eat red meat (beef, pork, lamb, goat, game)? Daily...02; 5-6 days per week...02;1-4 days per week...03;1-3 days per month...04; Less than once a month...05; 2-3 times a year...06; Once a year...07;Never...08;Other...96 (RED MEAT IS MEAT OTHER THAN FISH, CHICKEN) All DSS Residents 50 years and above 5468 2 Frequency of red meat consumption 1 Daily 217 2 5-6 days a week 252 3 1-4 days a week 1858 4 1-3 days a month 2071 5 Less than once a month 930 6 2-3 times a year 56 7 Once a year 14 8 Never 63 95 4 96 Other 1 97 1 99 NA 1 Sysmiss 2 Do you add sugar in your beverages Respondent 14.35 Do you put sugar in your beverages such as tea, coffee, cocoa or porridge? YES...1;NO...2;SKIP TO 14.41 All DSS Residents 50 years and above 5468 2 1 Yes 5272 2 No 193 5 Missing 0 6 1 7 Refused 0 9 NA 2 Sysmiss 2 How many spoons of sugar do put in a cup? Respondent 14.36 How many spoons of sugar do you usually put in a cup? DONT KNOW...98 IF DONT KNOW, CIRCLE 98 All DSS Residents 50 years and above 5468 2 Number of spoons of sugar respondent adds to cup 0 3 1 1441 2 2639 3 801 4 93 5 4 6 8 8 1 95 Missing 2 97 Refused 0 98 Don't Know 281 99 NA 195 Sysmiss 2 # of spoons of sugar you take in a day Respondent 14.37 Taking into account the amount of tea/coffee/cocoa/porridge that you drink, how many spoons of sugar do you take on a typical day? PROMPT AND GUIDE THE RESPONDENT THROUGH THE CALCULATIONS All DSS Residents 50 years and above 5468 2 Number of sugar spoons consumed in a typical day 0 1 1 247 2 1062 3 695 4 1428 5 54 6 947 7 4 8 284 9 574 10 60 12 58 14 7 15 8 16 9 18 10 20 6 24 4 30 2 32 1 40 1 48 2 95 Missing 2 97 Refused 0 98 Don't Know 1 99 NA 1 Sysmiss 2 Ever taken soft drink in past 12 months Respondent 14.38 In the past 12 months have you ever taken a soft drink (e.g. Cola, Sprite, Fanta, Pepsi, etc...) YES...1;NO...2;SKIP TO 14.41 READ RESPONSES All DSS Residents 50 years and above 5468 2 Ever taken soft drink in past 12 months 1 Yes 5023 2 No 442 5 Missing 0 6 1 7 Refused 0 9 NA 2 Sysmiss 2 How often did you have at least one soft drink Respondent 14.39 In the past 12 months, how frequently have you had at least one soft drink? Daily...01; 5-6 days per week...02;1-4days per week;1-3 days per month...04;Less than once a month...05;2-3 times a year...06;Once a year...07;Other...96 READ RESPONSES All DSS Residents 50 years and above 5468 2 Frequency of soft drinks in week 1 Daily 66 2 5-6 days a week 101 3 1-4 days a week 911 4 1-3 days a month 2163 5 Less than once a month 1451 6 2-3 times a year 277 7 Once a year 52 8 Never 0 95 1 96 Other 2 99 NA 444 Sysmiss 2 Respondent Other (specify)...96 All DSS Residents 50 years and above 5468 0 Other frequency of soft drinks in week 99 5466 AFTER EVERY THREE MONTHS 1 TAKES SODA EVEN AFTER A YEAR 1 How many soft drinks do you have in a day Respondent 14.40 When you take soft drinks on average, how many drinks do you have during one day? DONT KNOW...98 IF DONT KNOW, CIRCLE 98 All DSS Residents 50 years and above 5468 2 Number of soft drinks taken in a day 1 4632 2 324 3 52 4 7 5 3 7 4 9 443 95 Missing 2 97 Refused 0 98 Don't Know 1 99 NA 0 Sysmiss 2 You work involve vigorous-intensity activity Respondent 14.41 Does your work involve vigorous-intense activity that causes large increases in breathing or heart rate like (carrying or lifting heavy loads, digging or construction work) for at least 10 minutes continuously? YES...1;NO...2;SKIP TO 14.44 All DSS Residents 50 years and above 5468 2 Respondent's work involves vigorous/intense activity 1 Yes 1072 2 No 4393 5 Missing 0 6 1 7 Refused 0 9 NA 1 97 1 Sysmiss 2 How many days you do vigorous-intensity activity Respondent 14.42 In a typical week, on how many days do you do vigorous-intense activities as part of your work? Days All DSS Residents 50 years and above 5468 2 Number of days in week when engaged in vigorous/intense activity 1 54 2 129 3 95 4 74 5 98 6 400 7 221 8 1 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 4395 Sysmiss 2 How much time you do vigorous-intensity activity Respondent 14.43 How much time do you spend doing vigorous/intense activities at work on a typical day Hours All DSS Residents 50 years and above 5468 2 Number of hours in day spent doing vigorous/intense activity 0 22 1 138 2 124 3 90 4 72 5 58 6 83 7 19 8 312 9 65 10 50 11 11 12 18 13 3 14 2 15 5 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 4395 Sysmiss 2 You work involve moderate-intensity activity Respondent 14.44 Does your work involve moderate-intensity activity that causes small increases in breathing or heart rate such as brisk wealking, carrying light loads, for at least 10 mintues continuously? YES...1;NO...2;SKIP TO 14.47 All DSS Residents 50 years and above 5468 2 Respondent's work involves moderate-intense activity 1 Yes 2224 2 No 3240 5 Missing 1 6 1 7 Refused 0 9 NA 2 Sysmiss 2 How many days you do moderate-intensity activity Respondent 14.45 In a typical week, on how many days do you do moderate-intensity activites at work on a typical day? Days All DSS Residents 50 years and above 5468 2 Number of days involved in moderate/intense work activity 0 1 1 54 2 124 3 156 4 131 5 158 6 900 7 702 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 3241 Sysmiss 2 How much time you do moderate-intensity activity Respondent 14.46 How much time do you spend doing moderate-intensity activities at work on a typical day? Hours All DSS Residents 50 years and above 5468 2 Number of hours in day spent doing moderate/intense activity 0 86 1 231 2 348 3 177 4 227 5 134 6 175 7 71 8 462 9 129 10 95 11 22 12 54 13 6 14 4 15 4 16 1 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 3241 Sysmiss 2 Do you walk or use a bicycle Respondent 14.47 Do you walk or use a bicycle for at least 10 mintues continuously to get to and from places? YES...1;NO...2;SKIP TO 14.50 All DSS Residents 50 years and above 5468 2 Daily 10 minute walk or continuous use of bicycle 1 Yes 5110 2 No 355 5 Missing 0 6 1 7 Refused 1 9 NA 1 Sysmiss 2 How many days do you walk or use bicycle in a week Respondent 14.48 In a typical week, on how many days do you walk or use a bicycle for at least 10 minutes continuously to get to and from places? Days All DSS Residents 50 years and above 5468 2 Number of days a week when have 10 minute walk or 10-minute continuous use of bicycle 1 136 2 241 3 220 4 266 5 252 6 1162 7 2834 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 356 Sysmiss 2 How much time do you spend walking or cycling? Respondent 14.49 How much time do you spend walking or cycling on a typical day? Hours All DSS Residents 50 years and above 5468 2 Number of hours in day spent walking or cycling 0 720 1 2206 2 1226 3 514 4 252 5 78 6 47 7 16 8 29 9 5 10 13 11 1 12 1 95 Missing 1 97 Refused 1 98 Don't Know 2 99 NA 356 Sysmiss 2 Do you do any vigorous-intensity sports? Respondent 14.50 Do you do any vigorous-intensity sports, fitness or recreational (leisure) activities that cause large increases in breathing or heart rate like (running or football), for at least 10 minutes continuously? YES...1;NO...2; SKIP TO 14.53 All DSS Residents 50 years and above 5468 2 Participate in Vigorous/Intense sports activities 1 Yes 220 2 No 5245 5 Missing 0 6 1 7 Refused 0 9 NA 2 Sysmiss 2 How many days of vigorous-intensity sports in a week? Respondent 14.51 In a typical week, on how many days do you do vigorous/intensity sports, fitness or recreational (leisure) activities? Days All DSS Residents 50 years and above 5468 2 Number of days in week spent on vigorous/intense sports 1 65 2 49 3 42 4 12 5 11 6 11 7 29 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 5248 Sysmiss 2 How much time vigorous-intensity sports in a day? Respondent 14.52 How much time do you spend doing vigorous-intensity sports fitness or recreational activities on a typical day? Hours All DSS Residents 50 years and above 5468 2 Number of hours in day spent on vigorous/intense sports 0 32 1 107 2 52 3 20 4 4 5 4 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 5248 Sysmiss 2 Do you do any moderate-intensity sports? Respondent 14.53 Do you do any moderate-intensity sports, fitness or recreational (leisure) activities that casue a small increase in breathing/heart rate like cycling or swimming for at lest 10 minutes continuously? YES...1;NO...2;SKIP TO 14.56 All DSS Residents 50 years and above 5468 2 Participate in Moderate/Intense sports activities 1 Yes 175 2 No 5290 5 Missing 0 6 1 7 Refused 0 9 NA 2 Sysmiss 2 How many days of moderate-intensity sports in a week? Respondent 14.54 In a typical week, on how many days do you do moderate-intensity sports, fitness or recreational (leisure) activities? Days All DSS Residents 50 years and above 5468 2 Number of days in week spent on Moderate/intense sports 1 46 2 40 3 26 4 6 5 4 6 15 7 37 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 5293 Sysmiss 2 How much time moderate-intensity sports in a day? Respondent 14.55 How much time do you spend doing moderate-intensity sports, fitness, or recreational activities on a typical day? All DSS Residents 50 years and above 5468 2 Number of hours in day spent on moderate/intense sports 0 26 1 80 2 40 3 12 4 10 5 2 6 1 8 3 95 Missing 1 97 Refused 0 98 Don't Know 0 99 NA 5293 Sysmiss 2 How much do you spend sitting? Respondent 14.56 How much time do you usually spend sitting or reclining on a typical day (not including sleeping) Hours All DSS Residents 50 years and above 5468 2 Number of hours in day spent sitting/reclining 0 251 1 649 2 1238 3 1157 4 952 5 374 6 430 7 92 8 141 9 58 10 85 11 9 12 20 13 3 14 6 95 1 99 2 Sysmiss 2 How much do you spend sleeping? Respondent 14.57 How many hours do you usually spend sleeping in a typical 24 hour day Hours All DSS Residents 50 years and above 5468 2 Number of hours in day spent sleeping 1 5 2 24 3 37 4 67 5 129 6 416 7 930 8 1578 9 1007 10 756 11 194 12 274 13 24 14 18 15 1 16 1 18 1 19 1 20 1 22 1 95 1 99 2 Sysmiss 2 Chances of getting Diabetes Respondent 15.0 PERCEIVED PERSONAL RISK 15.1 Do you think your chances of getting Diabetes are very high, high, moderate,low or very low? Very high...01;High...02;Moderate...03;Low...04;Very Low...05;Already have Diabetes...06;I dont know...98 CHECK 6.4.2A AND 6.4.2K, IF RESPONSE IS YES CIRCLE 6 AND MOVE TO 15.2, IF BOTH ARE NO ASK; CHOOSE ONLY ONE RESPONSE All DSS Residents 50 years and above 5468 2 Self-rating of likelihood of getting Diabetes 1 Very High 13 2 High 138 3 Moderate 756 4 Low 1472 5 Very low 1956 6 Already have 95 7 Once a year 0 95 Missing 1 97 Refused 1 98 I Dont Know 1035 99 NA 1 Sysmiss 2 Chances of getting High Blood Presure Respondent 15.0 PERCEIVED PERSONAL RISK 15.2 Do you think your chances of getting High blood pressure are very high, high, moderate,low or very low? Very high...01;High...02;Moderate...03;Low...04;Very Low...05;Already have Hypertension...06;I dont know...98 CHECK 6.4.4A AND 6.4.2K, IF RESPONSE IS YES CIRCLE 6 AND MOVE TO 15.3, IF BOTH ARE NO ASK; CHOOSE ONLY ONE RESPONSE All DSS Residents 50 years and above 5468 2 Self-rating of likelihood of getting High Blood Pressure 1 Very High 17 2 High 271 3 Moderate 864 4 Low 1362 5 Very low 1746 6 Already have 266 7 Once a year 0 95 Missing 1 97 Refused 1 98 I Dont Know 938 99 NA 2 Sysmiss 2 Chances of getting stroke Respondent 15.0 PERCEIVED PERSONAL RISK 15.3 Do you think your changes of getting a stroke ten years from now are... very high, high, moderate, low or very low? Very high...01;High...02;Moderate...03;Low...04;Very Low...05;Already suffered stroke...06;I dont know...98 CHECK 6.4.5A, IF RESPONSE IS YES CIRCLE 6 AND MOVE TO 15.4, IF NO ASK; CHOOSE ONLY ONE RESPONSE All DSS Residents 50 years and above 5468 2 Self-rating of likelihood of suffering Stroke ten years from now 1 Very High 6 2 High 64 3 Moderate 418 4 Low 1441 5 Very low 2157 6 Already have 10 7 Once a year 0 95 Missing 1 97 Refused 1 98 I Dont Know 1368 99 NA 2 Sysmiss 2 Chances of getting another stroke Respondent 15.0 PERCEIVED PERSONAL RISK 15.4 Do you think your changes of getting another stroke are... very high, high, moderate, low or very low? Very high...01;High...02;Moderate...03;Low...04;Very Low...05;I dont know...98 CHOOSE ONLY ONE RESPONSE All DSS Residents 50 years and above 5468 2 Self-rating of likelihood of a second stroke, having suffered a first one 1 Very High 1 2 High 1 3 Moderate 1 4 Low 1 5 Very low 2 6 Already have 3 7 Once a year 0 95 Missing 2 97 Refused 1 98 I Dont Know 0 99 NA 5456 Sysmiss 2 Chances of geting heart disease Respondent 15.0 PERCEIVED PERSONAL RISK 15.5 Do you think your changes of getting heart disease like angina are ... very high, high, moderate, low or very low? Very high...01;High...02;Moderate...03;Low...04;Very Low...05;Already have angina...06;I dont know...98 All DSS Residents 50 years and above 5468 2 Self-rating of likelihood of suffering angina 1 Very High 18 2 High 114 3 Moderate 659 4 Low 1629 5 Very low 1909 6 Already have 12 7 Once a year 0 95 Missing 1 97 Refused 1 98 I Dont Know 1123 99 NA 2 Sysmiss 2 Chances of geting heart attack in ten years Respondent 15.0 PERCEIVED PERSONAL RISK 15.6 Do you think your chances of getting a heart attack ten years fron now ... are ... very high, high, moderate, low or very low? Very high...01;High...02;Moderate...03;Low...04;Very Low...05;Already had a heart attack...06;I dont know...98 CHOOSE ONLY ONE RESPONSE All DSS Residents 50 years and above 5468 2 Self-rating of likelihood of suffering heart attack ten years from now 1 Very High 11 2 High 78 3 Moderate 374 4 Low 1352 5 Very low 1988 6 Already have 6 7 Once a year 0 95 Missing 1 97 Refused 1 98 I Dont Know 1655 99 NA 2 Sysmiss 2 Chances of geting another heart attack Respondent 15.0 PERCEIVED PERSONAL RISK 15.7 Do you think your chances of getting another heart attack are ... very high, high, moderate, low or very low? Very high...01;High...02;Moderate...03;Low...04;Very Low...05;I dont know...98 CHOOSE ONLY ONE RESPONSE All DSS Residents 50 years and above 5468 2 Self-rating of likelihood of suffering a second heart attack having suffered a first one 1 Very High 0 2 High 1 3 Moderate 0 4 Low 0 5 Very low 1 6 Already have 0 7 Once a year 0 95 Missing 2 97 Refused 1 98 I Dont Know 0 99 NA 5463 Sysmiss 2 Selected for objective measure Yes = 1; No = 2; IF NO, SKIP TO 16.20 - BLOOD PRESSURE 5468 2 1 Yes 424 2 No 5043 5 Missing 0 7 Refused 0 9 NA 1 Sysmiss 2 Is it possible to perform timed walk? 5468 2 1 Yes 381 2 No 40 5 Missing 0 7 Refused 2 9 NA 5045 Sysmiss 2 Completed the walk at usual pace Did respondent complete the walk at usual pace? 5468 2 1 Yes 357 2 No 19 3 Can't Walk 5 7 2 9 NA 5085 Sysmiss 2 Time at 4 meters 1 Time at 4 metres IF REFUSED RECORD 97.97 5468 2 0.03 99.99 93.732 23.658 Completed the walk at rapid pace Did respondent complete the walk at rapid pace? 5468 2 1 Yes 355 2 No 21 5 Missing 0 7 Refused 2 9 NA 5090 Sysmiss 2 Time at 4 meters 2 Time at 4 metres IF REFUSED RECORD 97.97 5468 2 0.02 3 0.03 5 0.04 1 0.05 1 0.07 1 0.08 1 0.12 1 0.14 1 0.15 2 0.21 1 1.02 3 1.05 1 1.07 1 1.08 1 1.1 2 1.15 1 1.19 1 1.2 2 1.24 1 1.38 1 1.45 1 1.46 1 1.52 1 1.59 2 1.98 1 2 5 2.01 4 2.02 4 2.03 2 2.05 4 2.08 1 2.09 2 2.11 5 2.12 1 2.13 2 2.14 1 2.15 1 2.19 1 2.2 4 2.21 4 2.22 2 2.23 1 2.24 2 2.25 1 2.26 1 2.27 2 2.28 3 2.3 6 2.31 3 2.32 1 2.33 4 2.36 1 2.37 4 2.39 1 2.4 4 2.41 2 2.42 1 2.43 1 2.44 2 2.45 1 2.48 2 2.49 1 2.5 4 2.52 1 2.55 2 2.56 1 2.57 1 2.58 1 2.6 4 2.7 4 2.75 1 2.78 1 2.8 9 2.82 1 2.83 1 2.88 1 2.9 4 2.98 1 2.99 1 3 2 3.01 5 3.02 3 3.03 2 3.04 3 3.05 2 3.06 1 3.07 3 3.08 1 3.1 9 3.11 2 3.14 1 3.17 1 3.18 2 3.2 9 3.21 5 3.22 5 3.24 5 3.25 2 3.26 3 3.27 9 3.29 1 3.3 2 3.32 3 3.33 3 3.34 1 3.36 3 3.37 2 3.38 1 3.39 2 3.4 3 3.41 4 3.42 1 3.45 1 3.46 2 3.47 3 3.48 1 3.49 3 3.51 1 3.52 1 3.55 2 3.56 1 3.6 2 3.62 1 3.7 3 3.72 2 3.75 2 3.76 1 3.78 1 3.79 2 3.8 2 3.82 1 3.83 1 3.85 1 3.86 1 3.87 2 3.88 1 3.89 1 3.9 1 3.94 2 3.95 1 3.98 2 4 1 4.01 1 4.02 1 4.03 2 4.07 3 4.08 1 4.12 1 4.16 1 4.2 3 4.21 5 4.23 1 4.24 2 4.25 1 4.26 1 4.28 1 4.34 1 4.36 1 4.39 1 4.4 1 4.41 1 4.46 1 4.49 1 4.5 1 4.71 1 4.72 1 4.88 1 4.89 1 4.9 1 5 1 5.01 1 5.05 1 5.07 1 5.26 1 5.29 1 6.1 1 7.05 1 7.85 1 9.05 1 95 Missing 0 97 Refused 0 97.97 19 98 Don't Know 0 99 NA 0 99.99 5093 Sysmiss 2 Visual acuity-right eye 16.5 a) Right eye 5468 2 10 1 15 1 20 50 25 16 30 50 35 15 40 47 50 75 70 93 100 21 200 2 888 Never 0 995 Missing 0 997 Refused 7 998 Dont Know 0 999 NA 5090 Sysmiss 2 Visual acuity-left eye 16.5 b) Left eye 5468 2 10 1 15 2 20 36 25 17 30 46 35 12 40 41 50 81 55 1 60 1 70 99 90 1 100 29 200 3 888 Never 0 995 Missing 0 997 Refused 7 998 Dont Know 0 999 NA 5091 Sysmiss 2 Finger counting-right eye IF THE RESPONDENT COULDN'T CORRECTLY POINT OUT THE DIRECTION OF THE LETTER "E" AND YOU USED FINGER COUNTING USE THE BOXES BELOW FOR RECORDING : 16.5 c) Right eye 5468 2 10 1 888 Never 0 995 Missing 5 997 Refused 3 998 Dont Know 0 999 NA 5362 9797 2 9995 4 9999 91 Sysmiss 2 Finger counting-left eye IF THE RESPONDENT COULDN'T CORRECTLY POINT OUT THE DIRECTION OF THE LETTER "E" AND YOU USED FINGER COUNTING USE THE BOXES BELOW FOR RECORDING : 16.5 c) Left eye 5468 2 10 1 888 Never 0 995 Missing 5 997 Refused 3 998 Dont Know 0 999 NA 5363 9797 2 9995 4 9999 90 Sysmiss 2 Any surgery on left arm Did you have any surgery on your left arm, hand or wrist in the last 3 months OR arthritis or pain in your left hand or wrist ? (1=YES; 2=NO; IF YES DO NOT TEST LEFT HAND) 5468 2 1 Yes 6 2 No 375 5 Missing 0 7 Refused 2 9 NA 5085 Sysmiss 2 Any surgery on right arm Did you have any surgery on your right arm, hand or wrist in the last 3 months OR arthritis or pain in your left hand or wrist ? 5468 2 1 Yes 7 2 No 374 5 Missing 0 7 Refused 2 9 NA 5085 Sysmiss 2 Dominant hand Which hand do you consider your dominant hand? 5460 10 1 Yes 362 2 No 17 5 Missing 0 7 Refused 2 9 NA 5079 Sysmiss 10 Left hand strength-1st reading Left Hand Strength - a) 1st Reading 5468 2 8 1 9 2 10 2 12 2 13 2 14 2 15 8 16 6 17 3 18 15 19 9 20 21 21 13 22 16 23 7 24 8 25 26 26 10 27 12 28 14 29 19 30 20 31 13 32 17 33 8 34 10 35 21 36 9 37 8 38 9 39 9 40 8 41 7 42 2 43 1 44 1 45 5 46 3 48 4 49 2 58 1 60 1 74 1 97 1 888 Never 0 995 Missing 0 997 Refused 18 998 Dont Know 0 999 NA 5091 Sysmiss 2 Left hand strength-2nd reading Left Hand Strength - b) 1st Reading 5468 2 8 4 9 1 10 2 12 4 13 2 14 4 15 5 16 7 17 8 18 13 19 15 20 21 21 11 22 12 23 10 24 17 25 17 26 23 27 12 28 16 29 6 30 16 31 13 32 25 33 8 34 12 35 12 36 10 37 6 38 7 39 11 40 6 41 2 42 4 43 2 44 1 45 3 46 2 47 3 49 1 50 1 51 1 55 1 97 1 888 Never 0 995 Missing 0 997 Refused 18 998 Dont Know 0 999 NA 5092 Sysmiss 2 Right hand strength-1st reading Right Hand Strength - a) 1st Reading 5468 2 7 1 10 2 11 2 12 2 13 2 14 3 15 4 16 1 17 8 18 4 19 10 20 17 21 15 22 6 23 10 24 14 25 13 26 11 27 14 28 14 29 8 30 23 31 16 32 20 33 10 34 11 35 13 36 13 37 7 38 9 39 6 40 17 41 8 42 7 43 4 44 4 45 9 46 2 47 2 48 4 49 1 50 4 52 2 53 1 65 1 97 1 99 1 888 Never 0 995 Missing 0 997 Refused 18 998 Dont Know 0 999 NA 5093 Sysmiss 2 Right hand strength-2nd reading Right Hand Strength -b) 2nd Reading 5468 2 6 1 8 1 10 5 11 3 12 1 14 2 15 4 16 6 17 9 18 11 19 15 20 21 21 7 22 6 23 12 24 11 25 11 26 15 27 13 28 19 29 11 30 18 31 6 32 13 33 9 34 12 35 14 36 13 37 9 38 14 39 8 40 14 41 8 42 4 43 5 44 4 45 4 46 4 47 3 48 4 49 1 50 2 53 1 54 1 60 1 97 1 888 Never 0 995 Missing 0 997 Refused 18 998 Dont Know 0 999 NA 5093 Sysmiss 2 # of words recalled correctly-trial1 16.10 a) No. of words recalled correctly 5468 2 0 2 1 6 2 23 3 81 4 90 5 85 6 65 7 21 8 7 9 2 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words failed to recall-trial1 16.10 b) No. of words respondent failed to recall 5468 2 1 2 2 7 3 21 4 65 5 87 6 90 7 79 8 23 9 6 10 2 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words substituted-trial1 16.10 c) No. of words substituted 5468 2 0 206 1 60 2 48 3 42 4 19 5 5 7 1 8 1 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words recalled correctly-trial2 16.11 a) No. of words recalled correctly 5468 2 0 4 1 1 2 15 3 43 4 72 5 122 6 76 7 32 8 13 9 3 10 1 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words failed to recall-trial2 16.11 b) No. of words respondent failed to recall 5468 2 0 2 1 3 2 13 3 32 4 76 5 122 6 72 7 43 8 15 9 1 10 3 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words substituted-trial2 16.11 c) No. of words substituted 5468 2 0 220 1 62 2 49 3 26 4 17 5 7 6 1 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words recalled correctly-trial3 16.12 a) No. of words recalled correctly 5468 2 0 8 1 1 2 11 3 26 4 68 5 90 6 93 7 58 8 16 9 8 10 3 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words failed to recall-tria3 16.12 b) No. of words respondent failed to recall 5468 2 0 8 1 8 2 16 3 58 4 93 5 90 6 67 7 28 8 10 9 1 10 3 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words substituted-trial3 16.12c) No. of words substituted 5468 2 0 222 1 58 2 54 3 26 4 17 5 5 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 Digits forward total score 16.14) Total score (the series number in the longest series repeated without error in Trial 1 or 2) (Maximum = 9 points) 5468 2 0 4 2 50 3 122 4 115 5 71 6 18 7 1 9 1 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 Digits backward total score 16.15) Total score (the series number in the longest series repeated without error in Trial 1 or 2) (Maximum = 8 points) 5468 2 0 17 2 127 3 139 4 68 5 26 6 1 9 5090 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 0 Sysmiss 2 Verbal fluency total score 16.16) Total score (number of animals named correctly) 5468 2 1 1 3 4 4 11 5 24 6 30 7 46 8 51 9 46 10 50 11 31 12 27 13 13 14 7 15 6 16 6 17 8 19 4 20 1 21 1 22 1 23 3 24 3 26 1 27 1 28 1 29 1 31 1 32 2 33 1 34 1 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5085 Sysmiss 2 Number of errors-verbal fluency 5468 2 0 53 1 90 2 89 3 58 4 39 5 43 6 5 7 1 8 5 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5085 Sysmiss 2 # of words recalled correctly-verbal 16.18 a) No. of words recalled correctly 5468 2 0 28 1 6 2 25 3 76 4 77 5 73 6 64 7 26 8 7 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words failed to recall-verbal 16.18 b) No. of words respondent failed to recall 5468 2 0 9 2 7 3 26 4 64 5 73 6 77 7 76 8 25 9 6 10 19 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 # of words substituted-verbal 16.18 c) No. of words substituted 5468 2 0 189 1 75 2 55 3 39 4 13 5 8 6 2 14 1 95 Missing 0 97 Refused 0 98 Don't Know 0 99 NA 5086 Sysmiss 2 Systolic-first reading 16.21 1st BP Reading a) Systolic 5468 2 32 999 145.181 128.727 Diastolic-first reading 16.21 1st BP Reading b) Diastolic 5468 2 13 999 97.738 134.773 pulse rate-first reading 16.21 1st BP Reading c) Pulse rate 5468 2 17 999 95.894 135.03 Systolic-second reading 16.21 2nd BP Reading a) Systolic 5468 2 29 999 143.748 129.451 Diastolic-second reading 16.21 2nd BP Reading b) Diastolic 5468 2 23 999 96.762 135.448 pulse rate-second reading 16.21 2nd BP Reading c) Pulse rate 5468 2 9 999 96.465 136.052 Systolic-third reading 16.21 3rd BP Reading a) Systolic 5468 2 0 999 147.425 144.181 Diastolic-third reading 16.21 3rd BP Reading b) Diastolic 5468 2 6 999 101.141 151.062 pulse rate-third reading 5468 2 4 999 101.691 150.949 Systolic-average reading 5468 2 68 999 143.89 129.29 Diastolic-average reading 5468 2 32 999 96.858 135.363 pulse rate-average reading 5468 2 2 999 96.236 134.935 Can respondent stand up? 16.25 Can respondent stand up? 5468 2 1 Yes 5415 2 No 13 5 Missing 3 7 Refused 34 9 NA 2 97 1 Sysmiss 2 Height - first reading 16.26 Measured height in cm a) First Reading 5468 2 49 999 181.131 123.303 Height - second reading 16.26 Measured height in cm b) Second Reading 5468 2 49.1 999 181.051 123.342 Weight - first reading 16.27 Measured weight in kg a) First Reading 5468 2 0.2 999 83.406 138.705 Weight - second reading 16.27 Measured weight in kg b) Second Reading 5468 2 30 999 83.476 138.715 Waist Circunference - first reading 16.28 Waist circumference in cm a) First Reading 5468 2 29.5 999 105.458 141.341 Waist Circunference - second reading 16.28 Waist circumference in cm b) Second Reading 5468 2 29.5 999 105.299 140.838 Hip Circunference - first reading 16.29 Hip circumference in cm a) First Reading 5468 2 22 999 115.537 138.19 Hip Circunference - second reading 16.29 Hip circumference in cm b) Second Reading 5468 2 6 999 115.672 138.711 Last time had meal 16.28 At what time did you last have a meal? (RECORD TIME IN 24 HR FORMAT) 5468 1900-01-01 1900-01-01 1900-01-01 5468 Current time 5468 1900-01-01 1900-01-01 1900-01-01 5468 Total blood cholesterol 16.29 Total Blood Cholesterol 5468 2 0.06 997 15.51 35.537 Tryglycerides 16.30 Triglycerides 5468 2 0 997 16.549 39.481 Blood glucose 16.31 Blood glucose 5468 2 1.02 997 8.55 25.712 Respondent sampled for any validation study? 17.1 CHECK IF RESPONDENT HAS BEEN SAMPLED FOR ANY VALIDATION STUDY: 1=YES, 2=NO;IF NO, SKIP TO SECTION ON REFERRAL AND FOLLOW UP, 18.0 5468 2 1 Yes 964 2 No 4503 5 Missing 0 9 NA 1 Sysmiss 2 Sampled for tobacco use validation CHECK IF RESPONDENT HAS BEEN SAMPLED FOR THE TOBACCO USE VALIDATION STUDY: 1=YES, 2=NO;IF NO, SKIP TO SECTION ON THE NEXT VALIDATION STUDY, QN 17.5 5468 2 1 Yes 219 2 No 732 5 Missing 0 9 NA 4517 Sysmiss 2 Agree to urine check Do you agree to this test? IF NO, SKIP TO NEXT SECTION OF VALIDATION STUDY, QN 17.5 5468 2 1 Yes 146 2 No 70 5 Missing 2 9 NA 5250 Sysmiss 2 Urine Cotinine level Urine Cotinine level 5467 3 0 99 96.811 13.579 Sampled for physical activity validation 5468 2 1 Yes 28 2 No 268 5 Missing 0 9 NA 5172 Sysmiss 2 Agree with a pedometer test Do you agree to do this test? IF NO, SKIP TO NEXT SECTION OF VALIDATION STUDY, QN 17.8 5468 2 1 Yes 5 2 No 4 5 Missing 0 9 NA 5459 Sysmiss 2 Pedometer appointment date What is the best time for someone to bring the device to your home? DATE (DD/MM/YY) 5468 2008-04-23 9999-01-01 2008-04-23 1 2008-06-09 1 2200-01-01 1283 9999-01-01 4183 Pedometer appointment time What is the best time for someone to bring the device to your home?TIME (24 HOUR) 5468 1900-01-01 1900-01-01 1900-01-01 5468 Pedometer appointment contact(Tel) Telephone No. IF UNWILLING TO GIVE TEL NO. OR HAS NO TELEPHONE FILL IN 9999999999 5468 0 9999999999 5468 Sampled for alcohol consumption 1=YES, 2=NO; IF NO, SKIP TO QN 17.11 5468 2 1 Yes 8 2 No 16 5 Missing 0 9 NA 5444 Sysmiss 2 Agree to interview someone else about your health? Do you agree to let us interview someone else about your health and health-related behaviour? 5468 2 2 2 3 1 5 1 9 5464 Sysmiss 2 Name of someone to interview What is the name of the person we should interview about your health and health-related behaviour? 5468 0 9 5466 ISAAC CHIMBOLE OGUAYO 1 KEVIN OYANJI 1 Relation to th person RELATIONSHIP: (CODE SHEET A4) 5468 0 999 5466 CHD 1 HUS 1 Stay in the same household Does this person stay in the same household? (Y=YES, N=NO) 5468 2 2 1 9 5467 Sysmiss 2 Best day to interview the person BEST DAY FOR INTERVIEW (DD/MM/YY): 5468 2008-04-23 9999-01-01 2008-04-23 1 2200-01-01 1282 9999-01-01 4185 Best time to interview the person BEST TIME FOR INTERVIEW (24 HOUR): 5468 1900-01-01 1900-01-01 1900-01-01 5468 Telephone number of the person Telephone Number: 5468 0 9999999999 5468 Sampled for the diet validation CHECK IF RESPONDENT HAS BEEN SAMPLED FOR THE DIET VALIDATION STUDY: 1=YES, 2=NO; IF NO, SKIP TO SECTION ON REFERRAL AND TREATMENT, 18.0 5468 2 1 Yes 11 2 No 14 5 Missing 0 9 NA 5443 Sysmiss 2 Agree to have a dietary recall Do you agree to have a record made of everything you eat on two separate days? 5468 2 1 Yes 4 2 No 4 5 Missing 0 9 NA 5460 Sysmiss 2 Dietary recall appointment MAKE AN APPOINTMENT AS TO WHEN THE FW SHOULD COME TO TAKE THE 24HR DIETARY RECALL-TIME (24 HOUR) 5468 1900-01-01 1900-01-01 1900-01-01 5468 Dietary recall appointment contact MAKE AN APPOINTMENT AS TO WHEN THE FW SHOULD COME TO TAKE THE 24HR DIETARY RECALL-Telephone Number: 5468 0 0722654028 1 0723765121 1 9999999999 5466 Questionnaire Identifier 107 0 31 10953 6104.112 3634.258 Field Worker 107 0 38 C. Njue 0 76 I.M. 0 101 Antony Kagiri 0 102 Antony Chomba 0 103 Atieno Clarice 0 104 Andrew Mathitu 0 105 I.I. 0 106 Abdi Hussein Diba 0 107 Amogola Jacqueline 0 108 Andrew Mutuku 0 109 Atanus Mutua Mutisya 0 110 Anne Njeri 0 111 Antoni Olali 0 112 Acqueline Anyango 0 113 Ali Rukia Nyambura 0 114 Alice Thithu 0 115 Anne Nyakinyi Waweru 0 116 A. J. 0 117 A.B. 0 118 D.M. 0 119 A.K. 0 120 A.R. 0 180 G.A. 0 188 M.I. 0 196 K.G. 0 199 D.T. 0 201 Beatrice Awino 0 202 Benjamin Otiti 0 203 Ben Kaplelach 0 204 Brendah Mwarili 0 205 Bonface Mwangi Kaniu 0 206 Brendah Mwarili 0 207 Benson Njue Njeru 0 208 Bernard Onyango Origa 0 209 B.S. 0 210 Benson Nyataya 0 211 Esther Nyambura 0 212 B.E. 0 213 B.K. 0 214 B.W. 0 215 B.H. 0 216 N.D. 0 225 M.D. 0 289 C. H. 0 301 Caroline Njoki 0 302 Caroline Amuyunzu 0 303 Callen Bwari Omete 28 304 Caroline Phyllis Egesa 0 305 Moses Mwicigi 0 306 Caroline Kagwiria 0 307 Cecilia Kagwanja 8 308 Charity Kola 0 309 0 310 N.V. 0 311 Catherine Osalo 0 312 Consolanta Ogambi 0 313 Caroline Wangari 0 314 Caroline Malimu 0 401 Daniel Maina 0 402 Daniel Omondi Mboya 0 403 Daniel Omondi Ochieng 0 404 Mildred Adhiambo 1 405 Jarso Dida Gollo 0 406 Diba Duba Amina 0 407 David Ngugi Kamau 0 408 Douglas M. Onwonga 0 409 C.V. 0 410 Abdikadir Yarrow 13 411 David Ojuka 0 412 D.E. 0 413 D.W. 0 501 Evelyne Miyawa 0 502 Edward Andrew Okech 0 503 Evaline Sigei 0 504 Elius Maxwell Kariuki 0 505 Emma Muthoni Joseph 0 506 Ephraim Njeru Nyaga 0 507 Erick Obina Waga 0 508 Evelyn Muthoni 0 509 Martin Wanjohi 0 510 Ezan Mwiluki Efeza 0 511 E.D. 0 512 E.H. 0 513 E.O. 0 514 E.S. 0 601 Flora Owiti 0 602 Florence Akinyi Olum 0 603 Florence Auma 0 604 Florence A. Otieno 0 605 Frederick Otieno Ogolla 0 606 F.S. 0 701 Samuel Njai 0 702 Geofrey Akaliche Asenaka 0 703 Grace Mumbua 0 704 George Kidiga 31 705 Georginah Katethya Mugo 0 706 Grace Mumo Maundu 0 707 Ronald Ogero George 0 708 Grace Mugo 0 709 Agnes Waitiri 0 710 G.H. 0 711 G.P. 0 801 Halimsadiya Abdikadir 0 802 Meshack Odede 1 803 Habiba Duba 0 804 Hussein Galgalo 0 805 Hussein Galgalo 0 806 Mambe Otieno Shem 0 807 Henry Ndungu 3 809 Henry Kituyi 0 810 H.H. 0 811 H.R. 0 901 Moses Mwithiga 0 902 Ikapesi Jane 0 903 Ivy Nandongwa 0 904 Isaac Ochieng Ogutu 0 905 Pauline Muindi 0 906 Samuel Waithaka 0 907 Elizabeth Nthenya 0 1001 James Mutuku Kimweli 0 1002 Jane Atieno Mobinya 0 1003 James Mwangi 0 1004 J.D. 0 1005 James Muendo Misola 0 1006 Justina Keiti 0 1007 Jacob Isinde Kitheka 0 1008 Josephine Nanjiniah 0 1009 John Mbondo Kitetu 0 1010 John Lusinde 0 1011 Julius Kweyu Mukwe 0 1012 Jackson Mutavi 0 1013 Jane Otai 0 1014 Jacqueline Oronge 0 1015 James Hotendo Otieno 4 1016 Jane Akinyi Osindo 0 1017 Justus Mirukah Nyaosi 0 1018 J.W. 0 1019 James Wainaina Munyua 0 1020 Joyce W Ngunjiri 0 1021 Justina Kieti 0 1022 Joseph Oduor Nyagaya 0 1023 John Omondi Orengo 0 1024 J.H. 9 1025 J.R. 0 1101 Keneth Njoroge 0 1102 Elizabeth Njeri Kahurani 0 1103 Kennedy Onyango Dende 0 1104 Rose Kendagor 0 1105 Jackson Mwaniki 0 1106 Kasyoka Kivunga Joel 0 1107 Kanyiva Muindi 0 1108 Samuel Kamiru 0 1109 Kodheck N. Nyakweba 0 1110 Kennedy Otsola 0 1111 Jackson Kariuki 0 1112 Joseph Kuria 0 1113 Kelly Wambua 0 1114 Kennedy Onyango Odhiambo 0 1115 K.P. 0 1116 K.S. 0 1201 Daniel Opiya Ocholla 0 1202 Immaculate Obaga 0 1203 Linda Awuor Oloo 0 1204 Leonard Kiprono 0 1205 Lilian Shiyenzi 0 1206 Lydia Nugari 0 1207 Linet Nyongesa 0 1208 Linet Ochillo 0 1209 Grace Mulupi 0 1210 Lydia Ngugiri 0 1301 Mwaura Estone 0 1302 Kennedy Momanyi 0 1303 Mary Marubu 7 1304 Mary Sikuku 0 1305 Maryann Wakarindin 0 1306 Millicent Awuor Oduor 0 1307 Michael Ndigirigi Maina 0 1308 Mule Damaris Vaati 0 1309 Morris Mbogo 0 1310 Momita James Mariga 0 1311 Joseph Kisito Mwita 0 1312 Mary Kanyi 0 1313 Martin Kimani Kuria 0 1314 Matthew Luyundi Anyada 0 1315 George Mobutu Miruka 0 1316 Magaret Mwikali Munyaka 0 1317 M.N. 0 1318 Moses Ngotho Ngungu 0 1319 Mugenya Nicholas Odhiambo 0 1320 M.O 0 1321 Maurice Mutisya 0 1322 Muthomi Mbui 0 1323 Murigi Wanjiru 0 1324 Martha Wangui Wanjihia 0 1325 Mary Mwikali Musyoka 0 1326 Michael Maina 0 1327 M.G. 0 1401 Nyaga Wangari 0 1402 Esther Nyambura 0 1403 George Ikuro Nganga 0 1404 Nyayiemi Ikueta Moses 0 1405 Samuel Nduati Kamau 0 1406 Nelson Mbaya 0 1407 Naomi Murage 0 1408 Stephen Nganga Ngumba 0 1409 Elizabeth Nthenya 0 1410 N.P. 0 1411 N.R. 0 1412 N.Y. 0 1413 N.J. 0 1414 N.W. 0 1501 Clement Oduor Otendo 0 1502 Julius Odhiambo 0 1503 Octavia Kadenyeka Chanzu 0 1504 Odilia Muhenje 0 1505 Joshua Ouma Okello 0 1506 Oliech Onyango Peter 0 1507 Risper Anyango Okello 0 1508 Opole Reinhard Bonnke 0 1509 Onesmus Mulewa 0 1510 Joseph Owuor 0 1511 O.K. 0 1601 Peter Waka 0 1602 P.C. 0 1603 Patricia Elung'ata 0 1604 Walter Agama Agade 0 1605 Pius Kimetu Paul 0 1606 Peter Mbuta 0 1607 Peter Njongesa Wasike 0 1608 Peter Opiyo Olande 0 1609 Peter Onchuru Mokaya 0 1610 Pauline Maina 0 1611 P.I. 0 1612 P.M. 0 1613 P.O. 0 1614 P.W. 0 1615 P.A. 0 1801 Habiba Galgalo 0 1802 Rael Okiya 0 1803 R Damaries 0 1804 Roba Godana Adan 0 1805 Rosalyn Kamau 0 1806 Roselyne Buyeka 0 1807 Robert Mutinda 0 1808 Raphael Musyoki 0 1809 Rose Muthumbi 0 1810 Rhoda Nyaanga Ratemo 0 1811 Roselyne Mumbua Maithya 0 1812 Ruth Waithera 0 1813 Rael Oyugi 0 1814 Rayan Okoth Otuka 0 1815 R.B. 0 1816 R.F. 0 1817 R.G. 0 1818 R.O. 0 1901 Stephen Kibengo 0 1902 Stella Chepkemoi Bii 0 1903 Samuel Doe Ouma 0 1904 Seth Omondi Amuom 0 1905 Sora Gollo Dida 0 1906 Simon Mbuta 0 1907 Sidney Ingalia Musonye 0 1908 S.K. 0 1909 Salma Musa 0 1910 Sylvia Njoki 0 1911 Stephen Ndugu Kihiko 0 1912 Stephen Okome 0 1913 Sarah Simiyu 0 1914 Sarah Simiyu 0 1915 Stella Makasi 0 1916 Samuel M. Muhika 0 1917 Samson Waweru Wambui 0 1918 Sylvia Wanjala 0 1919 Stephen Muli Wausi 0 1920 Samuel Gitau 0 1921 S.F. 0 1922 S.H. 0 1923 S.S. 0 1924 S.W. 0 1925 S.Y. 0 1926 S.A. 0 2001 Terryanne Kinya 0 2002 Tom Omondi 0 2003 Tabitha Wangithi 0 2201 Victoria Nabwire 0 2202 Victor Chege 0 2203 Vincent Odero 0 2204 Vincent Kimanthi 0 2205 Veronica Mwani 0 2206 V.O. 0 2207 Vincent Were 0 2301 Dorcas Wairimu 0 2302 Philip Wendot 0 2303 Wekesah Fredrick 0 2304 Jacinta W Kivuitu 0 2305 Wanjala C Juma 0 2306 Lilian Nafula Wanyonyi 0 2307 Simon Wachira 0 2308 Michael Waititu Maina 0 2309 Wilson Wangui 0 2401 Administrator 0 2501 Angeline Nthenga 0 2502 Eunice Mutindi 0 2503 Scholastic Maundi 0 2504 Jane Njeri 0 2505 Everlyn Ondiek 0 2506 Sophia Wairimu 0 2507 Yusuf Maalim Isaak 0 2508 Joyce Wanjira 0 2509 Zipporah Wanjiku 0 2510 Y.Y. 0 2601 Beatrice Njeri 0 2602 Anne Wachira 0 2603 Maureen Kadogo 0 2604 Kemper Emmie 0 2605 Felistus Atieno 0 2606 Everlyn Wangui 0 2607 Elizabeth Nthenya 0 2608 Ruth kaimuri 0 2609 Millicent Atieno 0 2610 Magdalene Ashika 0 2611 Ann Wanjiru 0 2612 Boaz Okoth Aleko 0 2613 Rose Nyawira 0 2614 Beverlyne Kassim 0 2615 Elizabeth Atieno 0 2616 Agnes Wairimu 0 2617 Zipporah Wachuka 0 2618 Nancy Nyakiti 0 2619 Agnes Wanza 0 2620 Z.A. 0 2621 Z.P. 0 9995 Missing 0 9996 Other 0 9997 Refusal 0 9998 Don't know 2 9999 Not applicable 0 Interview Date 107 2007-11-11 2009-12-02 2007-11-11 1 2008-03-04 1 2008-08-12 3 2008-08-13 3 2008-08-14 5 2008-08-15 2 2008-08-16 2 2008-08-17 3 2008-08-18 1 2008-08-19 4 2008-08-20 1 2008-08-21 7 2008-08-22 3 2008-08-26 2 2008-09-02 1 2008-11-15 3 2008-11-16 1 2008-11-18 1 2008-11-19 1 2008-11-20 4 2008-11-22 3 2008-11-23 2 2008-11-24 1 2008-11-25 4 2008-11-27 1 2008-11-29 1 2008-12-02 1 2008-12-04 2 2008-12-05 1 2008-12-07 1 2008-12-17 1 2008-12-23 1 2009-01-02 1 2009-01-04 2 2009-01-05 1 2009-01-07 1 2009-01-08 1 2009-01-09 2 2009-01-11 1 2009-01-12 1 2009-01-13 1 2009-01-19 1 2009-01-24 3 2009-01-25 1 2009-02-08 1 2009-02-09 1 2009-02-13 2 2009-02-16 2 2009-02-17 1 2009-02-18 1 2009-02-24 1 2009-03-02 1 2009-03-04 1 2009-03-05 1 2009-03-07 1 2009-03-09 1 2009-03-10 1 2009-03-11 2 2009-03-12 1 2009-03-13 1 2009-03-14 1 2009-03-15 1 2009-07-03 1 2009-12-02 1 Respondent ID 107 0 G0010270060002 1 G0030520010002 1 G0030540010101 1 G0040660070101 1 G0040840020008 1 G0041370040002 1 G0041700020001 1 G0042660010001 1 G0042890030001 1 G0080200010001 1 G0160090010002 1 G0190030040002 1 G0210230010001 1 G0210560010001 1 G0220040030002 1 G0230420020201 1 G0231110040001 1 G0240270010001 1 G0280240020002 1 G0290830020001 1 V0070360050201 1 V0072270050102 1 V0073300060302 1 V0073480020102 1 V0080550010001 1 V0080570020002 1 V0090570020002 1 V0100810010002 1 V0110060030102 1 V0111070020001 1 V0111330010001 1 V0121220040001 1 V0122510010001 1 V0131210020001 1 V0141540050302 1 V0142470040002 1 V0150410030002 1 V0160610010006 1 V0170660050001 1 V0170750060002 1 V0170880070102 1 V0170990010101 1 V0171230010101 1 V0201020010004 1 V0201430030001 1 V0201560010002 1 V0210130050002 1 V0220060030201 1 V0220400020101 1 V0230490020001 1 V0240110010002 1 V0250640060102 1 V0280230010001 1 V0280620010101 1 V0310010110001 1 V0310370010001 1 V0320070030002 1 V0320180050002 1 V0320640020104 1 V0320840010002 1 V0320890030002 1 V0330770040003 1 V0340610010002 1 V0350480040001 1 V0360350040001 1 V0360390070001 1 V0361150040002 1 V0361330020003 1 V0370520060001 1 V0380730060002 1 V0380810030101 1 V0381190050201 1 V0381330030002 1 V0381490020102 1 V0390410060105 1 V0390950060001 1 V0391110020006 1 V0400670040002 1 V0401690010001 1 V0405150040001 1 V0405260020001 1 V0405730040005 1 Y0030380030001 1 Y0030410010001 1 Y0040240040001 1 Y0080130140101 1 Y0080200090001 1 Y0100110010002 1 Y0100160070002 1 Y0100160080001 1 Y0150090060001 1 Y0150110100002 1 Y0160040100001 1 Y0170330050001 1 Y0170340040002 1 Y0220020020101 1 Y0260450010001 1 Y0270150010001 1 Y0300530040002 1 Y0400060030101 1 Y0410210070101 1 Y0420270010002 1 Y0460250030002 1 Y0470080010001 1 Y0480170010001 1 Y0620450060003 1 Y0660110040002 1 Respondent Date of Birth 107 1922-07-01 1990-07-15 1922-07-01 1 1923-07-01 1 1929-04-26 1 1930-07-01 1 1938-08-15 1 1943-07-01 2 1947-07-01 4 1950-02-21 1 1952-07-01 3 1953-07-01 2 1953-09-18 1 1954-08-21 1 1956-07-01 1 1957-07-01 3 1957-08-05 1 1957-12-24 1 1958-07-01 1 1959-07-01 1 1960-12-08 1 1962-01-16 1 1962-02-14 1 1962-08-22 1 1963-03-12 1 1963-06-04 1 1963-07-01 1 1963-07-07 1 1964-07-01 1 1964-08-30 1 1964-09-22 1 1964-09-29 1 1964-10-18 1 1965-03-17 1 1965-07-01 1 1967-06-20 1 1967-07-01 2 1967-10-15 1 1968-05-07 1 1968-06-14 1 1968-07-01 2 1970-01-22 1 1970-10-25 1 1971-01-15 1 1971-07-01 1 1972-01-02 1 1972-07-01 1 1972-08-24 1 1973-07-01 1 1974-03-15 1 1974-06-15 1 1974-11-23 1 1975-10-01 1 1976-04-12 1 1976-07-01 1 1977-04-03 1 1977-04-20 1 1977-07-11 1 1978-07-01 1 1978-11-06 1 1978-11-15 1 1979-07-01 1 1979-08-03 1 1980-07-01 3 1981-02-15 1 1981-04-02 1 1982-02-02 1 1982-04-16 1 1982-07-01 1 1982-09-02 1 1982-09-30 1 1982-12-28 1 1983-07-01 1 1984-07-01 2 1984-11-30 1 1984-12-26 1 1984-12-31 1 1985-02-12 1 1985-11-05 1 1985-12-24 1 1986-07-01 1 1986-07-30 1 1986-11-22 1 1987-03-06 1 1987-05-15 1 1987-07-01 1 1987-08-04 1 1987-12-26 1 1988-07-01 1 1989-03-16 1 1989-07-01 1 1989-10-12 1 1990-02-21 1 1990-04-23 1 1990-07-15 1 Gender 107 0 1 Female 58 2 Male 49 9 Not applicable 0 Location ID 107 0 G003052001 1 G003054001 1 G004066007 1 G004084001 1 G004137001 1 G004170002 1 G004266001 1 G004289003 1 G008020001 1 G016009001 1 G019003004 1 G021024001 1 G021056001 1 G021450001 1 G022004003 1 G023111004 1 G024027001 1 G026067001 1 G029083002 1 V007029006 1 V007227005 1 V007330006 1 V007348002 1 V007363006 1 V008050001 1 V009057001 1 V010081001 1 V011006003 1 V011174001 1 V011190001 1 V012122004 1 V012251001 1 V013286005 1 V014389012 1 V014448004 1 V015014007 1 V016105003 1 V016110002 1 V017066005 1 V017075006 1 V017088007 1 V017099001 1 V017122003 1 V018087002 1 V020067004 1 V020102001 1 V020143003 1 V021013008 1 V022030001 1 V023049002 1 V024011001 1 V025064006 1 V028023001 1 V028062001 1 V031001011 1 V031090004 1 V032015005 1 V032057003 1 V033077004 1 V034025004 1 V034060004 1 V035062001 1 V036022002 1 V036039007 1 V036103001 1 V036133002 1 V037062004 1 V037073002 1 V038081003 1 V038119004 1 V038133003 1 V038205006 1 V039095006 1 V039111002 1 V040169001 1 V040229005 1 V040401005 1 V040526002 1 V040573004 1 V040654001 1 V065029004 1 Y003041001 1 Y004024004 1 Y005020001 1 Y006018004 1 Y008013014 1 Y008020009 1 Y010011001 1 Y010017005 1 Y015002016 1 Y015009006 1 Y016005012 1 Y017033005 1 Y017034004 1 Y022002002 1 Y026045001 1 Y027002002 1 Y030053004 1 Y036027005 1 Y040006003 1 Y041021007 1 Y042027001 1 Y046025001 1 Y047028001 1 Y048017001 1 Y061006005 1 Y066011004 1 Willing to Participate 107 0 1 Yes 106 2 No 0 9 Not applicable 1 Reason for Participation 107 0 9 107 Collateral Respondent Signature 107 0 0 Refused to sign 20 1 Sign 72 2 Willing but unable to sign 13 9 Not applicable 1 95 Missing Information 1 Collateral Respondent Room 107 0 99 1 G003052003 1 G003054001 1 G004084001 1 G004137001 1 G004170002 1 G004265002 1 G008020001 1 G016018001 1 G019003004 1 G021032001 1 G021057001 1 G022024002 1 G023111004 1 G023145001 1 G024002001 1 G024027001 1 G029084002 1 V007029005 1 V007040001 1 V007227004 1 V007330005 1 V007363006 1 V008050001 1 V009057001 1 V010081001 1 V011006001 1 V011174001 1 V011190001 1 V012122004 1 V012251001 1 V013286004 1 V014389005 1 V014448004 1 V015167001 1 V016105003 1 V016110002 1 V017066005 1 V017075006 1 V017088007 1 V017099002 1 V017122003 1 V018087002 1 V020067004 1 V020102001 1 V020143002 1 V021013008 1 V022030001 1 V023050001 1 V024011001 1 V025064003 1 V028003003 1 V028062002 1 V031001011 1 V031049008 1 V031090002 1 V032057002 1 V033077004 1 V034025003 1 V034060004 1 V035029004 1 V035062001 1 V036039007 1 V036103001 1 V036133002 1 V037056005 1 V037073002 1 V038081003 1 V038119004 1 V038133008 1 V038205006 1 V039098001 1 V039111002 1 V040169001 1 V040229005 1 V040401005 1 V040525003 1 V040575005 1 V040654001 1 Y003019004 1 Y003040003 1 Y004013003 1 Y006018004 1 Y008013014 1 Y008020010 1 Y010011001 1 Y010017015 1 Y015006007 1 Y016006006 1 Y017033005 1 Y017034004 1 Y018003001 1 Y022002002 1 Y026046001 1 Y026070004 1 Y027023002 1 Y030053003 1 Y035016007 1 Y036027005 1 Y040006003 1 Y041021004 1 Y042027002 1 Y045030002 1 Y047028001 1 Y048017001 1 Y061011003 1 Y066011004 1 Collateral Respondent Date of Birth 107 1922-07-01 2200-01-01 1922-07-01 1 1944-11-07 1 1947-07-01 1 1948-07-01 1 1952-01-01 1 1952-07-01 1 1954-01-07 1 1956-07-01 1 1957-07-01 2 1958-07-01 2 1959-07-01 2 1960-12-15 1 1963-07-01 2 1964-07-01 2 1965-07-01 1 1967-03-23 1 1967-09-18 1 1968-07-01 1 1968-07-07 1 1969-07-01 1 1969-11-01 1 1970-07-01 1 1970-12-15 1 1971-09-15 1 1972-03-20 1 1972-07-01 1 1972-08-01 1 1973-01-15 1 1973-12-26 1 1974-04-09 1 1974-06-15 1 1975-07-01 1 1975-12-01 1 1976-01-07 1 1976-06-15 1 1976-07-01 1 1977-07-01 1 1978-01-20 1 1978-07-01 1 1978-08-07 1 1978-10-10 1 1978-12-12 1 1979-04-16 1 1979-06-03 1 1980-07-01 3 1980-09-26 1 1981-06-07 1 1982-01-07 1 1982-03-15 1 1982-07-01 2 1983-01-01 1 1983-07-01 2 1984-03-15 1 1984-04-04 1 1984-05-15 1 1984-07-01 2 1985-05-01 1 1985-07-01 3 1985-09-01 1 1985-10-18 1 1985-11-07 1 1985-11-12 1 1986-01-15 1 1986-05-05 1 1986-05-20 1 1986-07-01 2 1987-01-15 1 1987-07-01 1 1987-07-07 1 1987-12-01 1 1988-10-15 1 1989-06-15 1 1989-07-01 2 1989-11-28 1 1990-05-28 1 1990-07-01 2 1991-08-22 1 1991-12-24 1 1993-06-17 1 1993-07-01 3 1994-04-01 1 1994-07-01 1 1995-11-07 2 1997-02-03 1 1997-07-01 1 1999-03-20 1 2200-01-01 3 Collateral Respondent Sex 107 0 1 Female 57 2 Male 49 9 Not applicable 1 Result of Interview 107 0 1 Completed 104 2 No Competent respondent 1 3 Entire HH absent for extended period 0 4 Refused 0 5 Wehreabouts Unknown (HRB) 1 6 Structure owner/others refused access(HRB) 0 8 Other 0 9 1 95 Missing 0 99 Not applicable 0 Supervisor 107 0 38 C. Njue 0 76 I.M. 0 101 Antony Kagiri 0 102 Antony Chomba 0 103 Atieno Clarice 0 104 Andrew Mathitu 0 105 I.I. 0 106 Abdi Hussein Diba 0 107 Amogola Jacqueline 0 108 Andrew Mutuku 0 109 Atanus Mutua Mutisya 0 110 Anne Njeri 0 111 Antoni Olali 0 112 Acqueline Anyango 0 113 Ali Rukia Nyambura 0 114 Alice Thithu 0 115 Anne Nyakinyi Waweru 0 116 A. J. 0 117 A.B. 0 118 D.M. 0 119 A.K. 0 120 A.R. 0 180 G.A. 0 188 M.I. 0 196 K.G. 0 199 D.T. 0 201 Beatrice Awino 0 202 Benjamin Otiti 0 203 Ben Kaplelach 0 204 Brendah Mwarili 0 205 Bonface Mwangi Kaniu 0 206 Brendah Mwarili 0 207 Benson Njue Njeru 0 208 Bernard Onyango Origa 0 209 B.S. 0 210 Benson Nyataya 0 211 Esther Nyambura 0 212 B.E. 0 213 B.K. 0 214 B.W. 0 215 B.H. 0 216 N.D. 0 225 M.D. 0 289 C. H. 0 301 Caroline Njoki 0 302 Caroline Amuyunzu 0 303 Callen Bwari Omete 1 304 Caroline Phyllis Egesa 0 305 Moses Mwicigi 0 306 Caroline Kagwiria 0 307 Cecilia Kagwanja 0 308 Charity Kola 0 309 0 310 N.V. 0 311 Catherine Osalo 0 312 Consolanta Ogambi 0 313 Caroline Wangari 0 314 Caroline Malimu 0 401 Daniel Maina 0 402 Daniel Omondi Mboya 0 403 Daniel Omondi Ochieng 0 404 Mildred Adhiambo 4 405 Jarso Dida Gollo 0 406 Diba Duba Amina 0 407 David Ngugi Kamau 0 408 Douglas M. Onwonga 0 409 C.V. 0 410 Abdikadir Yarrow 0 411 David Ojuka 0 412 D.E. 0 413 D.W. 0 501 Evelyne Miyawa 0 502 Edward Andrew Okech 8 503 Evaline Sigei 0 504 Elius Maxwell Kariuki 0 505 Emma Muthoni Joseph 0 506 Ephraim Njeru Nyaga 0 507 Erick Obina Waga 0 508 Evelyn Muthoni 0 509 Martin Wanjohi 0 510 Ezan Mwiluki Efeza 0 511 E.D. 0 512 E.H. 0 513 E.O. 0 514 E.S. 0 601 Flora Owiti 0 602 Florence Akinyi Olum 0 603 Florence Auma 0 604 Florence A. Otieno 0 605 Frederick Otieno Ogolla 0 606 F.S. 0 701 Samuel Njai 0 702 Geofrey Akaliche Asenaka 0 703 Grace Mumbua 0 704 George Kidiga 0 705 Georginah Katethya Mugo 0 706 Grace Mumo Maundu 0 707 Ronald Ogero George 0 708 Grace Mugo 0 709 Agnes Waitiri 0 710 G.H. 0 711 G.P. 0 801 Halimsadiya Abdikadir 0 802 Meshack Odede 0 803 Habiba Duba 0 804 Hussein Galgalo 0 805 Hussein Galgalo 0 806 Mambe Otieno Shem 0 807 Henry Ndungu 0 809 Henry Kituyi 0 810 H.H. 0 811 H.R. 0 901 Moses Mwithiga 1 902 Ikapesi Jane 0 903 Ivy Nandongwa 0 904 Isaac Ochieng Ogutu 0 905 Pauline Muindi 0 906 Samuel Waithaka 0 907 Elizabeth Nthenya 0 1001 James Mutuku Kimweli 0 1002 Jane Atieno Mobinya 0 1003 James Mwangi 0 1004 J.D. 0 1005 James Muendo Misola 0 1006 Justina Keiti 0 1007 Jacob Isinde Kitheka 0 1008 Josephine Nanjiniah 0 1009 John Mbondo Kitetu 0 1010 John Lusinde 0 1011 Julius Kweyu Mukwe 0 1012 Jackson Mutavi 0 1013 Jane Otai 0 1014 Jacqueline Oronge 0 1015 James Hotendo Otieno 0 1016 Jane Akinyi Osindo 0 1017 Justus Mirukah Nyaosi 0 1018 J.W. 0 1019 James Wainaina Munyua 0 1020 Joyce W Ngunjiri 0 1021 Justina Kieti 0 1022 Joseph Oduor Nyagaya 0 1023 John Omondi Orengo 0 1024 J.H. 0 1025 J.R. 0 1101 Keneth Njoroge 0 1102 Elizabeth Njeri Kahurani 0 1103 Kennedy Onyango Dende 0 1104 Rose Kendagor 0 1105 Jackson Mwaniki 0 1106 Kasyoka Kivunga Joel 0 1107 Kanyiva Muindi 0 1108 Samuel Kamiru 0 1109 Kodheck N. Nyakweba 0 1110 Kennedy Otsola 0 1111 Jackson Kariuki 0 1112 Joseph Kuria 0 1113 Kelly Wambua 0 1114 Kennedy Onyango Odhiambo 0 1115 K.P. 0 1116 K.S. 3 1201 Daniel Opiya Ocholla 0 1202 Immaculate Obaga 0 1203 Linda Awuor Oloo 0 1204 Leonard Kiprono 0 1205 Lilian Shiyenzi 0 1206 Lydia Nugari 0 1207 Linet Nyongesa 0 1208 Linet Ochillo 0 1209 Grace Mulupi 0 1210 Lydia Ngugiri 0 1301 Mwaura Estone 0 1302 Kennedy Momanyi 0 1303 Mary Marubu 0 1304 Mary Sikuku 0 1305 Maryann Wakarindin 0 1306 Millicent Awuor Oduor 0 1307 Michael Ndigirigi Maina 0 1308 Mule Damaris Vaati 0 1309 Morris Mbogo 0 1310 Momita James Mariga 0 1311 Joseph Kisito Mwita 0 1312 Mary Kanyi 0 1313 Martin Kimani Kuria 0 1314 Matthew Luyundi Anyada 0 1315 George Mobutu Miruka 0 1316 Magaret Mwikali Munyaka 0 1317 M.N. 0 1318 Moses Ngotho Ngungu 0 1319 Mugenya Nicholas Odhiambo 0 1320 M.O 0 1321 Maurice Mutisya 0 1322 Muthomi Mbui 0 1323 Murigi Wanjiru 0 1324 Martha Wangui Wanjihia 0 1325 Mary Mwikali Musyoka 0 1326 Michael Maina 2 1327 M.G. 0 1401 Nyaga Wangari 0 1402 Esther Nyambura 0 1403 George Ikuro Nganga 0 1404 Nyayiemi Ikueta Moses 0 1405 Samuel Nduati Kamau 0 1406 Nelson Mbaya 0 1407 Naomi Murage 0 1408 Stephen Nganga Ngumba 0 1409 Elizabeth Nthenya 0 1410 N.P. 0 1411 N.R. 0 1412 N.Y. 0 1413 N.J. 0 1414 N.W. 0 1501 Clement Oduor Otendo 0 1502 Julius Odhiambo 0 1503 Octavia Kadenyeka Chanzu 0 1504 Odilia Muhenje 0 1505 Joshua Ouma Okello 0 1506 Oliech Onyango Peter 0 1507 Risper Anyango Okello 0 1508 Opole Reinhard Bonnke 0 1509 Onesmus Mulewa 0 1510 Joseph Owuor 0 1511 O.K. 0 1601 Peter Waka 0 1602 P.C. 0 1603 Patricia Elung'ata 0 1604 Walter Agama Agade 0 1605 Pius Kimetu Paul 0 1606 Peter Mbuta 0 1607 Peter Njongesa Wasike 0 1608 Peter Opiyo Olande 0 1609 Peter Onchuru Mokaya 0 1610 Pauline Maina 0 1611 P.I. 0 1612 P.M. 0 1613 P.O. 0 1614 P.W. 0 1615 P.A. 0 1801 Habiba Galgalo 0 1802 Rael Okiya 0 1803 R Damaries 0 1804 Roba Godana Adan 0 1805 Rosalyn Kamau 0 1806 Roselyne Buyeka 0 1807 Robert Mutinda 0 1808 Raphael Musyoki 0 1809 Rose Muthumbi 0 1810 Rhoda Nyaanga Ratemo 0 1811 Roselyne Mumbua Maithya 0 1812 Ruth Waithera 0 1813 Rael Oyugi 0 1814 Rayan Okoth Otuka 0 1815 R.B. 0 1816 R.F. 0 1817 R.G. 0 1818 R.O. 0 1901 Stephen Kibengo 0 1902 Stella Chepkemoi Bii 0 1903 Samuel Doe Ouma 0 1904 Seth Omondi Amuom 0 1905 Sora Gollo Dida 0 1906 Simon Mbuta 0 1907 Sidney Ingalia Musonye 0 1908 S.K. 0 1909 Salma Musa 0 1910 Sylvia Njoki 0 1911 Stephen Ndugu Kihiko 0 1912 Stephen Okome 0 1913 Sarah Simiyu 0 1914 Sarah Simiyu 0 1915 Stella Makasi 0 1916 Samuel M. Muhika 0 1917 Samson Waweru Wambui 0 1918 Sylvia Wanjala 0 1919 Stephen Muli Wausi 0 1920 Samuel Gitau 0 1921 S.F. 0 1922 S.H. 0 1923 S.S. 0 1924 S.W. 0 1925 S.Y. 0 1926 S.A. 0 2001 Terryanne Kinya 0 2002 Tom Omondi 0 2003 Tabitha Wangithi 0 2201 Victoria Nabwire 0 2202 Victor Chege 0 2203 Vincent Odero 0 2204 Vincent Kimanthi 0 2205 Veronica Mwani 0 2206 V.O. 0 2207 Vincent Were 0 2301 Dorcas Wairimu 0 2302 Philip Wendot 0 2303 Wekesah Fredrick 1 2304 Jacinta W Kivuitu 0 2305 Wanjala C Juma 0 2306 Lilian Nafula Wanyonyi 0 2307 Simon Wachira 0 2308 Michael Waititu Maina 0 2309 Wilson Wangui 0 2401 Administrator 0 2501 Angeline Nthenga 0 2502 Eunice Mutindi 0 2503 Scholastic Maundi 0 2504 Jane Njeri 0 2505 Everlyn Ondiek 0 2506 Sophia Wairimu 0 2507 Yusuf Maalim Isaak 0 2508 Joyce Wanjira 0 2509 Zipporah Wanjiku 0 2510 Y.Y. 0 2601 Beatrice Njeri 0 2602 Anne Wachira 0 2603 Maureen Kadogo 0 2604 Kemper Emmie 0 2605 Felistus Atieno 0 2606 Everlyn Wangui 0 2607 Elizabeth Nthenya 0 2608 Ruth kaimuri 0 2609 Millicent Atieno 0 2610 Magdalene Ashika 0 2611 Ann Wanjiru 0 2612 Boaz Okoth Aleko 0 2613 Rose Nyawira 0 2614 Beverlyne Kassim 0 2615 Elizabeth Atieno 0 2616 Agnes Wairimu 0 2617 Zipporah Wachuka 0 2618 Nancy Nyakiti 0 2619 Agnes Wanza 0 2620 Z.A. 0 2621 Z.P. 0 9995 Missing 63 9996 Other 0 9997 Refusal 0 9998 Don't know 24 9999 Not applicable 0 Data Entry Clerk 107 0 38 C. Njue 0 76 I.M. 0 101 Antony Kagiri 4 102 Antony Chomba 0 103 Atieno Clarice 0 104 Andrew Mathitu 0 105 I.I. 0 106 Abdi Hussein Diba 0 107 Amogola Jacqueline 0 108 Andrew Mutuku 0 109 Atanus Mutua Mutisya 0 110 Anne Njeri 0 111 Antoni Olali 0 112 Acqueline Anyango 0 113 Ali Rukia Nyambura 0 114 Alice Thithu 0 115 Anne Nyakinyi Waweru 0 116 A. J. 0 117 A.B. 0 118 D.M. 0 119 A.K. 0 120 A.R. 0 180 G.A. 0 188 M.I. 0 196 K.G. 0 199 D.T. 0 201 Beatrice Awino 0 202 Benjamin Otiti 0 203 Ben Kaplelach 0 204 Brendah Mwarili 0 205 Bonface Mwangi Kaniu 0 206 Brendah Mwarili 0 207 Benson Njue Njeru 0 208 Bernard Onyango Origa 0 209 B.S. 0 210 Benson Nyataya 0 211 Esther Nyambura 0 212 B.E. 0 213 B.K. 0 214 B.W. 0 215 B.H. 0 216 N.D. 0 225 M.D. 0 289 C. H. 0 301 Caroline Njoki 0 302 Caroline Amuyunzu 0 303 Callen Bwari Omete 0 304 Caroline Phyllis Egesa 0 305 Moses Mwicigi 0 306 Caroline Kagwiria 0 307 Cecilia Kagwanja 0 308 Charity Kola 0 309 0 310 N.V. 0 311 Catherine Osalo 0 312 Consolanta Ogambi 0 313 Caroline Wangari 0 314 Caroline Malimu 0 401 Daniel Maina 0 402 Daniel Omondi Mboya 0 403 Daniel Omondi Ochieng 0 404 Mildred Adhiambo 0 405 Jarso Dida Gollo 0 406 Diba Duba Amina 0 407 David Ngugi Kamau 0 408 Douglas M. Onwonga 0 409 C.V. 0 410 Abdikadir Yarrow 0 411 David Ojuka 0 412 D.E. 0 413 D.W. 0 501 Evelyne Miyawa 0 502 Edward Andrew Okech 0 503 Evaline Sigei 0 504 Elius Maxwell Kariuki 0 505 Emma Muthoni Joseph 0 506 Ephraim Njeru Nyaga 0 507 Erick Obina Waga 0 508 Evelyn Muthoni 0 509 Martin Wanjohi 0 510 Ezan Mwiluki Efeza 0 511 E.D. 0 512 E.H. 0 513 E.O. 0 514 E.S. 0 601 Flora Owiti 0 602 Florence Akinyi Olum 0 603 Florence Auma 0 604 Florence A. Otieno 0 605 Frederick Otieno Ogolla 0 606 F.S. 0 701 Samuel Njai 0 702 Geofrey Akaliche Asenaka 0 703 Grace Mumbua 0 704 George Kidiga 0 705 Georginah Katethya Mugo 0 706 Grace Mumo Maundu 0 707 Ronald Ogero George 0 708 Grace Mugo 0 709 Agnes Waitiri 0 710 G.H. 0 711 G.P. 0 801 Halimsadiya Abdikadir 0 802 Meshack Odede 0 803 Habiba Duba 0 804 Hussein Galgalo 0 805 Hussein Galgalo 0 806 Mambe Otieno Shem 0 807 Henry Ndungu 0 809 Henry Kituyi 0 810 H.H. 0 811 H.R. 0 901 Moses Mwithiga 0 902 Ikapesi Jane 0 903 Ivy Nandongwa 0 904 Isaac Ochieng Ogutu 0 905 Pauline Muindi 0 906 Samuel Waithaka 0 907 Elizabeth Nthenya 0 1001 James Mutuku Kimweli 0 1002 Jane Atieno Mobinya 0 1003 James Mwangi 0 1004 J.D. 0 1005 James Muendo Misola 0 1006 Justina Keiti 0 1007 Jacob Isinde Kitheka 0 1008 Josephine Nanjiniah 0 1009 John Mbondo Kitetu 0 1010 John Lusinde 0 1011 Julius Kweyu Mukwe 0 1012 Jackson Mutavi 6 1013 Jane Otai 0 1014 Jacqueline Oronge 0 1015 James Hotendo Otieno 0 1016 Jane Akinyi Osindo 0 1017 Justus Mirukah Nyaosi 0 1018 J.W. 0 1019 James Wainaina Munyua 0 1020 Joyce W Ngunjiri 0 1021 Justina Kieti 0 1022 Joseph Oduor Nyagaya 0 1023 John Omondi Orengo 0 1024 J.H. 0 1025 J.R. 0 1101 Keneth Njoroge 0 1102 Elizabeth Njeri Kahurani 0 1103 Kennedy Onyango Dende 0 1104 Rose Kendagor 0 1105 Jackson Mwaniki 0 1106 Kasyoka Kivunga Joel 0 1107 Kanyiva Muindi 0 1108 Samuel Kamiru 0 1109 Kodheck N. Nyakweba 0 1110 Kennedy Otsola 0 1111 Jackson Kariuki 0 1112 Joseph Kuria 69 1113 Kelly Wambua 0 1114 Kennedy Onyango Odhiambo 0 1115 K.P. 0 1116 K.S. 0 1201 Daniel Opiya Ocholla 0 1202 Immaculate Obaga 0 1203 Linda Awuor Oloo 0 1204 Leonard Kiprono 0 1205 Lilian Shiyenzi 0 1206 Lydia Nugari 0 1207 Linet Nyongesa 0 1208 Linet Ochillo 0 1209 Grace Mulupi 0 1210 Lydia Ngugiri 0 1301 Mwaura Estone 0 1302 Kennedy Momanyi 8 1303 Mary Marubu 0 1304 Mary Sikuku 0 1305 Maryann Wakarindin 0 1306 Millicent Awuor Oduor 0 1307 Michael Ndigirigi Maina 0 1308 Mule Damaris Vaati 0 1309 Morris Mbogo 0 1310 Momita James Mariga 0 1311 Joseph Kisito Mwita 0 1312 Mary Kanyi 0 1313 Martin Kimani Kuria 0 1314 Matthew Luyundi Anyada 0 1315 George Mobutu Miruka 0 1316 Magaret Mwikali Munyaka 0 1317 M.N. 0 1318 Moses Ngotho Ngungu 0 1319 Mugenya Nicholas Odhiambo 0 1320 M.O 0 1321 Maurice Mutisya 0 1322 Muthomi Mbui 0 1323 Murigi Wanjiru 7 1324 Martha Wangui Wanjihia 0 1325 Mary Mwikali Musyoka 0 1326 Michael Maina 0 1327 M.G. 0 1401 Nyaga Wangari 0 1402 Esther Nyambura 0 1403 George Ikuro Nganga 0 1404 Nyayiemi Ikueta Moses 0 1405 Samuel Nduati Kamau 0 1406 Nelson Mbaya 0 1407 Naomi Murage 0 1408 Stephen Nganga Ngumba 0 1409 Elizabeth Nthenya 0 1410 N.P. 0 1411 N.R. 0 1412 N.Y. 0 1413 N.J. 0 1414 N.W. 0 1501 Clement Oduor Otendo 0 1502 Julius Odhiambo 0 1503 Octavia Kadenyeka Chanzu 0 1504 Odilia Muhenje 0 1505 Joshua Ouma Okello 0 1506 Oliech Onyango Peter 0 1507 Risper Anyango Okello 0 1508 Opole Reinhard Bonnke 0 1509 Onesmus Mulewa 0 1510 Joseph Owuor 0 1511 O.K. 0 1601 Peter Waka 0 1602 P.C. 0 1603 Patricia Elung'ata 0 1604 Walter Agama Agade 0 1605 Pius Kimetu Paul 0 1606 Peter Mbuta 0 1607 Peter Njongesa Wasike 0 1608 Peter Opiyo Olande 0 1609 Peter Onchuru Mokaya 0 1610 Pauline Maina 0 1611 P.I. 0 1612 P.M. 0 1613 P.O. 0 1614 P.W. 0 1615 P.A. 0 1801 Habiba Galgalo 0 1802 Rael Okiya 0 1803 R Damaries 0 1804 Roba Godana Adan 0 1805 Rosalyn Kamau 0 1806 Roselyne Buyeka 0 1807 Robert Mutinda 0 1808 Raphael Musyoki 0 1809 Rose Muthumbi 0 1810 Rhoda Nyaanga Ratemo 0 1811 Roselyne Mumbua Maithya 0 1812 Ruth Waithera 0 1813 Rael Oyugi 0 1814 Rayan Okoth Otuka 0 1815 R.B. 0 1816 R.F. 0 1817 R.G. 0 1818 R.O. 0 1901 Stephen Kibengo 0 1902 Stella Chepkemoi Bii 0 1903 Samuel Doe Ouma 0 1904 Seth Omondi Amuom 0 1905 Sora Gollo Dida 0 1906 Simon Mbuta 0 1907 Sidney Ingalia Musonye 0 1908 S.K. 0 1909 Salma Musa 0 1910 Sylvia Njoki 0 1911 Stephen Ndugu Kihiko 0 1912 Stephen Okome 0 1913 Sarah Simiyu 10 1914 Sarah Simiyu 0 1915 Stella Makasi 0 1916 Samuel M. Muhika 0 1917 Samson Waweru Wambui 0 1918 Sylvia Wanjala 0 1919 Stephen Muli Wausi 0 1920 Samuel Gitau 0 1921 S.F. 0 1922 S.H. 0 1923 S.S. 0 1924 S.W. 0 1925 S.Y. 0 1926 S.A. 0 2001 Terryanne Kinya 0 2002 Tom Omondi 0 2003 Tabitha Wangithi 0 2201 Victoria Nabwire 0 2202 Victor Chege 0 2203 Vincent Odero 0 2204 Vincent Kimanthi 0 2205 Veronica Mwani 0 2206 V.O. 0 2207 Vincent Were 0 2301 Dorcas Wairimu 0 2302 Philip Wendot 0 2303 Wekesah Fredrick 0 2304 Jacinta W Kivuitu 0 2305 Wanjala C Juma 0 2306 Lilian Nafula Wanyonyi 0 2307 Simon Wachira 0 2308 Michael Waititu Maina 0 2309 Wilson Wangui 0 2401 Administrator 0 2501 Angeline Nthenga 0 2502 Eunice Mutindi 0 2503 Scholastic Maundi 0 2504 Jane Njeri 0 2505 Everlyn Ondiek 0 2506 Sophia Wairimu 0 2507 Yusuf Maalim Isaak 0 2508 Joyce Wanjira 0 2509 Zipporah Wanjiku 0 2510 Y.Y. 0 2601 Beatrice Njeri 0 2602 Anne Wachira 0 2603 Maureen Kadogo 0 2604 Kemper Emmie 0 2605 Felistus Atieno 0 2606 Everlyn Wangui 0 2607 Elizabeth Nthenya 0 2608 Ruth kaimuri 0 2609 Millicent Atieno 0 2610 Magdalene Ashika 0 2611 Ann Wanjiru 0 2612 Boaz Okoth Aleko 0 2613 Rose Nyawira 0 2614 Beverlyne Kassim 0 2615 Elizabeth Atieno 0 2616 Agnes Wairimu 0 2617 Zipporah Wachuka 0 2618 Nancy Nyakiti 0 2619 Agnes Wanza 0 2620 Z.A. 0 2621 Z.P. 0 9995 Missing 0 9996 Other 0 9997 Refusal 0 9998 Don't know 3 9999 Not applicable 0 Does Respondent Drink? 107 0 1 Yes 19 2 No 87 9 Not applicable 1 99 Not applicable 0 Drink in last 12 months 107 0 1 Yes 18 2 No 88 9 Not applicable 1 99 Not applicable 0 Alcohol Frequency last 12 months 107 0 1 Daily 2 2 5-6 days per week 2 3 1-4 days per week 3 4 1-3 days per month 4 5 Less than once a month 6 9 Not applicable 89 95 Missing Information 1 Typical Alcohol Type 107 0 BUSAA 1 CHANG'AA 4 GUINNESS 1 MISSING INFORMATION 2 MURATINA 1 NOT APPLICABLE 90 PILSNER 2 TUSKER 6 Code 107 0 1 99 86.57 30.897 Quantity of Drink 107 0 1 500ml 2 2 Cup 1 95 Missing 9 96 Other 1 98 Dont Know 3 99 Not applicable 91 Number of drinks 107 0 1 1 2 1 10 1 90 Enough to get drunk 6 98 Dont Know 7 99 Not applicable 91 Average Number of drinks a day 107 0 2 99 96.346 14.777 Largest number of drinks in one occassion 107 0 8 99 97.299 11.332 Number of more than 5 standard drink days 107 0 98 15 99 92 Number of more than 4 standard drink days 107 0 2 99 98.093 9.377 Consumed Alcohol in past 30 days 107 0 1 Yes 12 2 No 6 9 Not applicable 89 99 Not applicable 0 Drank on Monday 107 0 1 Yes 4 2 No 6 9 Dont Know/Not applicable 95 95 Missing Information 2 Type of drink monday 107 0 1 500ml tusker lager 0 2 300ml Tusker Malt lager 0 3 500ml Senator Lager 0 4 500ml Senator Keg Lager 0 5 1 Litre Senator Keg Lager 0 6 300ml Citizen 0 7 500ml Allsopps 0 8 500ml Castle Lager 0 9 300ml Guiness 0 10 500ml Guiness 0 11 500ml White Cap Lager 0 12 300ml White Cap Light 0 13 300ml Smirnoff Ice Black 0 14 100ml Changaa 0 15 100/200/300ml Changaa 3 16 205ml Furaha Cane 0 17 205ml Kenya King 0 18 205ml Afri Gold Vodka 0 19 205ml Vikings Brandy 0 20 500ml Pilsner Lager 0 21 315ml Safari Iceberg 0 22 1/0.5/0.25kg Busaa 1 23 205ml Napoleon Brandy 0 24 205ml Marry Cane Gin 0 25 250ml Marry Cane Gin 0 26 500ml cup Muratina 1 27 205ml Bravo 0 28 Other 0 95 Missing Information 1 98 Dont Know 0 99 Not applicable 101 Number of standard drinks monday 107 0 2 1 95 Missing Information 2 98 Dont Know 2 99 Not applicable 102 Drank on Tuesday 107 0 1 Yes 5 2 No 5 9 Dont Know/Not applicable 95 95 Missing Information 2 Type of drink tuesday 107 0 1 500ml tusker lager 1 2 300ml Tusker Malt lager 0 3 500ml Senator Lager 0 4 500ml Senator Keg Lager 0 5 1 Litre Senator Keg Lager 0 6 300ml Citizen 0 7 500ml Allsopps 0 8 500ml Castle Lager 0 9 300ml Guiness 0 10 500ml Guiness 0 11 500ml White Cap Lager 0 12 300ml White Cap Light 0 13 300ml Smirnoff Ice Black 0 14 100ml Changaa 0 15 100/200/300ml Changaa 3 16 205ml Furaha Cane 0 17 205ml Kenya King 0 18 205ml Afri Gold Vodka 0 19 205ml Vikings Brandy 0 20 500ml Pilsner Lager 0 21 315ml Safari Iceberg 0 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Brandy 0 24 205ml Marry Cane Gin 0 25 250ml Marry Cane Gin 0 26 500ml cup Muratina 0 27 205ml Bravo 0 28 Other 0 95 Missing Information 1 98 Dont Know 0 99 Not applicable 102 Number of standard drinks wednesday 107 0 95 Missing Information 2 98 Dont Know 2 99 Not applicable 103 Drank on Thursday 107 0 1 Yes 5 2 No 4 9 Dont Know/Not applicable 96 95 Missing Information 2 Type of drink thursday 107 0 1 500ml tusker lager 1 2 300ml Tusker Malt lager 0 3 500ml Senator Lager 0 4 500ml Senator Keg Lager 0 5 1 Litre Senator Keg Lager 0 6 300ml Citizen 0 7 500ml Allsopps 0 8 500ml Castle Lager 0 9 300ml Guiness 1 10 500ml Guiness 0 11 500ml White Cap Lager 0 12 300ml White Cap Light 0 13 300ml Smirnoff Ice Black 0 14 100ml Changaa 0 15 100/200/300ml Changaa 2 16 205ml Furaha Cane 0 17 205ml Kenya King 0 18 205ml Afri Gold Vodka 0 19 205ml Vikings Brandy 0 20 500ml Pilsner Lager 0 21 315ml Safari Iceberg 0 22 1/0.5/0.25kg Busaa 1 23 205ml Napoleon Brandy 0 24 205ml Marry Cane Gin 0 25 250ml 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205ml Bravo 0 28 Other 0 95 Missing Information 1 98 Dont Know 0 99 Not applicable 99 Number of standard drinks friday 107 0 4 1 95 Missing Information 2 98 Dont Know 4 99 Not applicable 100 Drank on Saturday 107 0 1 Yes 5 2 No 3 9 Dont Know/Not applicable 97 95 Missing Information 2 Type of drink saturday 107 0 1 500ml tusker lager 1 2 300ml Tusker Malt lager 0 3 500ml Senator Lager 0 4 500ml Senator Keg Lager 0 5 1 Litre Senator Keg Lager 0 6 300ml Citizen 0 7 500ml Allsopps 0 8 500ml Castle Lager 0 9 300ml Guiness 2 10 500ml Guiness 0 11 500ml White Cap Lager 0 12 300ml White Cap Light 0 13 300ml Smirnoff Ice Black 0 14 100ml Changaa 0 15 100/200/300ml Changaa 2 16 205ml Furaha Cane 0 17 205ml Kenya King 0 18 205ml Afri Gold Vodka 0 19 205ml Vikings Brandy 0 20 500ml Pilsner Lager 0 21 315ml Safari Iceberg 0 22 1/0.5/0.25kg Busaa 1 23 205ml Napoleon Brandy 0 24 205ml Marry Cane Gin 0 25 250ml Marry Cane Gin 0 26 500ml cup Muratina 0 27 205ml Bravo 0 28 Other 0 95 Missing Information 1 98 Dont Know 1 99 Not applicable 99 Number of standard drinks saturday 107 0 95 Missing Information 2 98 Dont Know 4 99 Not applicable 101 Drank on Sunday 107 0 1 Yes 5 2 No 4 9 Dont Know/Not applicable 96 95 Missing Information 2 Type of drink sunday 107 0 1 500ml tusker lager 0 2 300ml Tusker Malt lager 0 3 500ml Senator Lager 0 4 500ml Senator Keg Lager 0 5 1 Litre Senator Keg Lager 0 6 300ml Citizen 0 7 500ml Allsopps 0 8 500ml Castle Lager 0 9 300ml Guiness 1 10 500ml Guiness 0 11 500ml White Cap Lager 0 12 300ml White Cap Light 0 13 300ml Smirnoff Ice Black 0 14 100ml Changaa 0 15 100/200/300ml Changaa 3 16 205ml Furaha Cane 0 17 205ml Kenya King 0 18 205ml Afri Gold Vodka 0 19 205ml Vikings Brandy 0 20 500ml Pilsner Lager 0 21 315ml Safari Iceberg 0 22 1/0.5/0.25kg Busaa 1 23 205ml Napoleon Brandy 0 24 205ml Marry Cane Gin 0 25 250ml Marry Cane Gin 0 26 500ml cup Muratina 1 27 205ml Bravo 0 28 Other 0 95 Missing Information 1 98 Dont Know 0 99 Not applicable 100 Number of 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2008-10-20 1 2008-11-05 2 2008-11-20 1 2008-11-23 2 2008-11-25 1 2008-11-27 2 2008-11-30 1 2008-12-03 1 2008-12-07 1 2008-12-08 1 2008-12-12 1 2008-12-13 2 2008-12-16 1 2008-12-19 1 2008-12-22 2 2008-12-26 1 2008-12-28 2 2008-12-29 1 2008-12-31 1 2009-01-02 1 2009-01-04 1 2009-01-05 1 2009-01-08 1 2009-01-11 2 2009-01-12 2 2009-01-15 1 2009-01-21 1 2009-01-22 1 2009-01-28 1 2009-01-30 1 2009-02-01 3 2009-02-07 1 2009-02-08 2 2009-02-11 1 2009-02-12 1 2009-02-21 2 2009-02-28 3 2009-03-01 5 2009-03-06 4 2009-03-07 1 2009-03-08 4 2009-03-09 1 2009-03-10 1 2009-03-13 2 2009-03-15 4 2009-03-16 5 2009-03-17 2 2009-03-19 1 2009-03-20 5 2009-03-23 2 2009-03-24 3 2009-03-25 8 2009-03-27 1 2009-03-31 3 2009-04-01 14 2009-04-05 1 2009-10-02 1 2009-10-18 1 2200-01-01 5 Pedometer Reading wakeup1 159 0 0 99999 634.302 7930.163 159 0 32 99999 8573.132 10409.19 Pedometer day2 159 0 1 MONDAY 28 2 TUESDAY 19 3 WEDNESDAY 26 4 THURSDAY 30 5 FRIDAY 16 6 SATURDAY 26 7 SUNDAY 10 95 MISSING VALUES 1 96 OTHER 2 97 REFUSAL 1 Pedometer date2 159 2008-01-13 2200-01-01 2008-01-13 1 2008-08-27 1 2008-08-28 4 2008-08-29 1 2008-09-01 1 2008-09-02 1 2008-09-05 3 2008-09-07 3 2008-09-10 1 2008-09-11 1 2008-09-13 1 2008-09-14 1 2008-09-17 5 2008-09-20 2 2008-09-30 1 2008-10-02 1 2008-10-06 1 2008-10-08 2 2008-10-12 1 2008-10-18 1 2008-10-20 1 2008-10-21 1 2008-11-06 2 2008-11-21 1 2008-11-24 2 2008-11-26 1 2008-11-28 2 2008-12-01 1 2008-12-04 1 2008-12-08 1 2008-12-09 1 2008-12-13 1 2008-12-14 2 2008-12-17 1 2008-12-20 1 2008-12-23 2 2008-12-27 1 2008-12-29 2 2008-12-30 1 2009-01-02 1 2009-01-03 1 2009-01-05 1 2009-01-06 1 2009-01-09 1 2009-01-12 2 2009-01-13 2 2009-01-16 1 2009-01-22 1 2009-01-23 1 2009-01-29 1 2009-01-31 1 2009-02-02 3 2009-02-08 1 2009-02-09 2 2009-02-12 1 2009-02-13 1 2009-02-22 2 2009-03-01 3 2009-03-02 5 2009-03-07 4 2009-03-08 1 2009-03-09 4 2009-03-10 1 2009-03-11 1 2009-03-14 2 2009-03-16 4 2009-03-17 5 2009-03-18 2 2009-03-20 1 2009-03-21 5 2009-03-24 2 2009-03-25 3 2009-03-26 8 2009-03-28 1 2009-03-30 1 2009-04-01 2 2009-04-02 14 2009-04-06 1 2009-10-19 1 2009-11-02 1 2200-01-01 5 Pedometer Reading wakeup2 159 0 0 99999 631.943 7930.21 159 0 17 99999 9300.642 9763.502 Pedometer day3 159 0 1 MONDAY 10 2 TUESDAY 28 3 WEDNESDAY 18 4 THURSDAY 26 5 FRIDAY 31 6 SATURDAY 16 7 SUNDAY 26 95 MISSING VALUES 1 96 OTHER 2 97 REFUSAL 1 Pedometer date3 159 2008-01-14 2200-01-01 2008-01-14 1 2008-08-28 1 2008-08-29 4 2008-08-30 1 2008-09-02 1 2008-09-03 1 2008-09-06 3 2008-09-07 1 2008-09-08 3 2008-09-11 1 2008-09-12 1 2008-09-15 1 2008-09-18 5 2008-09-21 2 2008-10-01 1 2008-10-03 1 2008-10-07 1 2008-10-09 2 2008-10-13 1 2008-10-19 1 2008-10-21 1 2008-10-22 1 2008-11-07 2 2008-11-22 1 2008-11-25 2 2008-11-27 1 2008-11-29 2 2008-12-02 1 2008-12-05 1 2008-12-09 1 2008-12-10 1 2008-12-14 1 2008-12-15 2 2008-12-18 1 2008-12-21 1 2008-12-24 2 2008-12-28 1 2008-12-30 2 2009-01-02 1 2009-01-03 1 2009-01-04 1 2009-01-06 1 2009-01-07 1 2009-01-10 1 2009-01-13 2 2009-01-14 2 2009-01-17 1 2009-01-23 1 2009-01-24 1 2009-01-30 1 2009-02-01 1 2009-02-03 3 2009-02-09 1 2009-02-10 2 2009-02-13 1 2009-02-14 1 2009-02-23 2 2009-03-02 3 2009-03-03 5 2009-03-08 4 2009-03-09 1 2009-03-10 4 2009-03-11 1 2009-03-12 1 2009-03-15 2 2009-03-17 4 2009-03-18 5 2009-03-19 2 2009-03-21 1 2009-03-22 5 2009-03-25 2 2009-03-26 3 2009-03-27 8 2009-03-29 2 2009-04-02 2 2009-04-03 14 2009-04-07 1 2009-10-20 1 2009-12-02 1 2200-01-01 5 Pedometer Reading wakeup3 159 0 0 99999 634.082 7930.069 159 0 0 99999 10091.535 13423.24 Pedometer day4 159 0 1 MONDAY 26 2 TUESDAY 11 3 WEDNESDAY 27 4 THURSDAY 19 5 FRIDAY 25 6 SATURDAY 31 7 SUNDAY 15 95 MISSING VALUES 1 96 OTHER 3 97 REFUSAL 1 Pedometer date4 159 2008-01-15 2200-01-01 2008-01-15 1 2008-08-29 1 2008-08-30 4 2008-08-31 1 2008-09-03 1 2008-09-04 1 2008-09-07 3 2008-09-08 1 2008-09-09 3 2008-09-12 1 2008-09-13 1 2008-09-16 1 2008-09-19 5 2008-09-22 2 2008-10-02 1 2008-10-04 1 2008-10-08 1 2008-10-10 2 2008-10-14 1 2008-10-20 1 2008-10-22 1 2008-10-23 1 2008-11-08 2 2008-11-25 1 2008-11-26 2 2008-11-28 1 2008-11-30 2 2008-12-03 1 2008-12-06 1 2008-12-10 1 2008-12-11 1 2008-12-15 1 2008-12-16 2 2008-12-19 1 2008-12-22 1 2008-12-25 2 2008-12-29 1 2008-12-31 2 2009-01-03 1 2009-01-04 1 2009-01-05 1 2009-01-07 1 2009-01-08 1 2009-01-11 1 2009-01-14 2 2009-01-15 2 2009-01-18 1 2009-01-24 1 2009-01-25 1 2009-01-31 1 2009-02-02 1 2009-02-04 2 2009-02-10 1 2009-02-11 2 2009-02-12 1 2009-02-13 1 2009-02-14 1 2009-02-15 1 2009-02-24 2 2009-03-03 3 2009-03-04 5 2009-03-09 4 2009-03-10 1 2009-03-11 4 2009-03-12 1 2009-03-13 1 2009-03-16 2 2009-03-18 4 2009-03-19 5 2009-03-20 2 2009-03-22 1 2009-03-23 5 2009-03-26 2 2009-03-27 3 2009-03-28 9 2009-03-30 1 2009-04-03 2 2009-04-04 14 2009-04-08 1 2009-10-21 1 2200-01-01 5 Pedometer Reading wakeup4 159 0 0 99999 630.503 7930.318 159 0 0 99999 8833.553 10038.688 Pedometer day5 159 0 1 MONDAY 15 2 TUESDAY 25 3 WEDNESDAY 10 4 THURSDAY 29 5 FRIDAY 19 6 SATURDAY 25 7 SUNDAY 31 95 MISSING VALUES 1 96 OTHER 3 97 REFUSAL 1 Pedometer date5 159 2008-01-16 2200-01-01 2008-01-16 1 2008-08-30 1 2008-08-31 4 2008-09-01 1 2008-09-04 1 2008-09-05 1 2008-09-08 3 2008-09-09 1 2008-09-10 3 2008-09-13 1 2008-09-14 1 2008-09-17 1 2008-09-20 5 2008-09-23 2 2008-10-03 1 2008-10-05 1 2008-10-09 1 2008-10-11 2 2008-10-15 1 2008-10-21 1 2008-10-23 1 2008-10-24 1 2008-11-09 2 2008-11-27 3 2008-11-29 1 2008-12-01 2 2008-12-04 1 2008-12-07 1 2008-12-11 1 2008-12-12 1 2008-12-16 1 2008-12-17 2 2008-12-20 1 2008-12-23 1 2008-12-26 2 2008-12-30 1 2009-01-01 2 2009-01-04 1 2009-01-05 1 2009-01-06 1 2009-01-08 1 2009-01-09 1 2009-01-12 1 2009-01-15 2 2009-01-16 2 2009-01-19 1 2009-01-25 1 2009-01-26 1 2009-02-01 1 2009-02-03 1 2009-02-05 2 2009-02-11 1 2009-02-12 2 2009-02-13 1 2009-02-14 1 2009-02-15 1 2009-02-16 1 2009-02-25 2 2009-03-04 3 2009-03-05 5 2009-03-10 4 2009-03-11 1 2009-03-12 4 2009-03-13 1 2009-03-14 1 2009-03-17 2 2009-03-19 4 2009-03-20 5 2009-03-21 2 2009-03-23 1 2009-03-24 5 2009-03-27 3 2009-03-28 3 2009-03-29 8 2009-03-31 1 2009-04-04 2 2009-04-05 14 2009-04-09 1 2009-10-22 1 2200-01-01 5 Pedometer Reading wakeup5 159 0 0 99999 631.83 7930.218 159 0 0 99999 9246.686 10034.425 Pedometer day6 159 0 1 MONDAY 31 2 TUESDAY 15 3 WEDNESDAY 26 4 THURSDAY 10 5 FRIDAY 28 6 SATURDAY 19 7 SUNDAY 25 95 MISSING VALUES 1 96 OTHER 3 97 REFUSAL 1 Pedometer date6 159 2008-01-17 2200-01-01 2008-01-17 1 2008-08-31 1 2008-09-01 4 2008-09-02 1 2008-09-05 1 2008-09-06 1 2008-09-09 3 2008-09-10 1 2008-09-11 3 2008-09-14 1 2008-09-15 1 2008-09-18 1 2008-09-21 5 2008-09-24 2 2008-10-04 1 2008-10-06 1 2008-10-10 1 2008-10-12 2 2008-10-16 1 2008-10-22 1 2008-10-24 1 2008-10-25 1 2008-11-10 2 2008-11-28 3 2008-11-30 1 2008-12-02 2 2008-12-05 1 2008-12-08 1 2008-12-12 1 2008-12-13 1 2008-12-17 1 2008-12-18 2 2008-12-21 1 2008-12-24 1 2008-12-27 2 2008-12-31 1 2009-01-02 2 2009-01-05 1 2009-01-06 1 2009-01-07 1 2009-01-09 1 2009-01-10 1 2009-01-13 1 2009-01-16 2 2009-01-17 2 2009-01-20 1 2009-01-26 1 2009-01-27 1 2009-02-02 1 2009-02-04 1 2009-02-06 2 2009-02-12 1 2009-02-13 2 2009-02-14 1 2009-02-15 1 2009-02-16 1 2009-02-17 1 2009-02-26 2 2009-03-05 3 2009-03-06 5 2009-03-11 4 2009-03-12 1 2009-03-13 4 2009-03-14 1 2009-03-15 1 2009-03-18 2 2009-03-20 4 2009-03-21 5 2009-03-22 2 2009-03-24 1 2009-03-25 5 2009-03-26 1 2009-03-28 2 2009-03-29 3 2009-03-30 8 2009-04-01 1 2009-04-05 2 2009-04-06 14 2009-04-10 1 2009-10-23 1 2200-01-01 5 Pedometer Reading wakeup6 159 0 0 99999 633.421 7930.119 159 0 41 99999 9057.686 10332.126 Pedometer day7 159 0 1 MONDAY 26 2 TUESDAY 31 3 WEDNESDAY 15 4 THURSDAY 26 5 FRIDAY 10 6 SATURDAY 27 7 SUNDAY 19 95 MISSING VALUES 1 96 OTHER 3 97 REFUSAL 1 Pedometer date7 159 2008-01-18 2200-01-01 2008-01-18 1 2008-09-01 1 2008-09-02 4 2008-09-03 1 2008-09-06 1 2008-09-07 1 2008-09-10 3 2008-09-11 1 2008-09-12 3 2008-09-15 1 2008-09-16 1 2008-09-19 1 2008-09-22 5 2008-09-25 2 2008-10-05 1 2008-10-07 1 2008-10-11 1 2008-10-13 2 2008-10-17 1 2008-10-23 1 2008-10-25 1 2008-10-26 1 2008-11-11 2 2008-11-29 2 2008-12-01 2 2008-12-03 2 2008-12-06 1 2008-12-09 1 2008-12-13 1 2008-12-14 1 2008-12-18 1 2008-12-19 2 2008-12-22 1 2008-12-25 1 2008-12-28 2 2009-01-01 1 2009-01-03 2 2009-01-06 1 2009-01-07 1 2009-01-08 1 2009-01-10 1 2009-01-11 1 2009-01-14 1 2009-01-17 2 2009-01-18 2 2009-01-21 1 2009-01-27 1 2009-01-28 1 2009-02-03 1 2009-02-05 1 2009-02-07 2 2009-02-13 1 2009-02-14 2 2009-02-15 1 2009-02-16 1 2009-02-17 1 2009-02-18 1 2009-02-27 2 2009-03-06 4 2009-03-07 5 2009-03-12 4 2009-03-13 1 2009-03-14 4 2009-03-15 1 2009-03-19 2 2009-03-21 4 2009-03-22 5 2009-03-23 2 2009-03-25 2 2009-03-26 5 2009-03-29 2 2009-03-30 3 2009-03-31 8 2009-04-02 1 2009-04-06 2 2009-04-07 14 2009-04-11 1 2009-10-24 1 2200-01-01 5 Pedometer Reading wakeup7 159 0 0 99999 631.906 7930.211 159 0 2 99999 10402.214 14606.003 Pedometer: Reading at Beginning 159 0 0 99999 2571.296 15703.861 Pedometer: Reading at End of 7 days 159 0 0 152615 50293.358 47595.65 Field Worker 159 0 38 C. Njue 0 76 I.M. 0 101 Antony Kagiri 0 102 Antony Chomba 0 103 Atieno Clarice 0 104 Andrew Mathitu 0 105 I.I. 0 106 Abdi Hussein Diba 0 107 Amogola Jacqueline 0 108 Andrew Mutuku 0 109 Atanus Mutua Mutisya 0 110 Anne Njeri 0 111 Antoni Olali 0 112 Acqueline Anyango 0 113 Ali Rukia Nyambura 0 114 Alice Thithu 0 115 Anne Nyakinyi Waweru 0 116 A. J. 0 117 A.B. 0 118 D.M. 0 119 A.K. 0 120 A.R. 0 180 G.A. 0 188 M.I. 0 196 K.G. 0 199 D.T. 0 201 Beatrice Awino 0 202 Benjamin Otiti 0 203 Ben Kaplelach 0 204 Brendah Mwarili 0 205 Bonface Mwangi Kaniu 0 206 Brendah Mwarili 0 207 Benson Njue Njeru 0 208 Bernard Onyango Origa 0 209 B.S. 0 210 Benson Nyataya 0 211 Esther Nyambura 0 212 B.E. 0 213 B.K. 0 214 B.W. 0 215 B.H. 0 216 N.D. 0 225 M.D. 0 289 C. H. 0 301 Caroline Njoki 0 302 Caroline Amuyunzu 0 303 Callen Bwari Omete 26 304 Caroline Phyllis Egesa 0 305 Moses Mwicigi 0 306 Caroline Kagwiria 0 307 Cecilia Kagwanja 44 308 Charity Kola 0 309 0 310 N.V. 0 311 Catherine Osalo 0 312 Consolanta Ogambi 0 313 Caroline Wangari 0 314 Caroline Malimu 0 401 Daniel Maina 0 402 Daniel Omondi Mboya 0 403 Daniel Omondi Ochieng 0 404 Mildred Adhiambo 2 405 Jarso Dida Gollo 0 406 Diba Duba Amina 0 407 David Ngugi Kamau 0 408 Douglas M. Onwonga 0 409 C.V. 0 410 Abdikadir Yarrow 20 411 David Ojuka 1 412 D.E. 0 413 D.W. 0 501 Evelyne Miyawa 0 502 Edward Andrew Okech 3 503 Evaline Sigei 0 504 Elius Maxwell Kariuki 0 505 Emma Muthoni Joseph 0 506 Ephraim Njeru Nyaga 0 507 Erick Obina Waga 0 508 Evelyn Muthoni 0 509 Martin Wanjohi 0 510 Ezan Mwiluki Efeza 0 511 E.D. 0 512 E.H. 0 513 E.O. 0 514 E.S. 0 601 Flora Owiti 0 602 Florence Akinyi Olum 0 603 Florence Auma 0 604 Florence A. Otieno 0 605 Frederick Otieno Ogolla 0 606 F.S. 0 701 Samuel Njai 0 702 Geofrey Akaliche Asenaka 0 703 Grace Mumbua 0 704 George Kidiga 46 705 Georginah Katethya Mugo 0 706 Grace Mumo Maundu 0 707 Ronald Ogero George 0 708 Grace Mugo 0 709 Agnes Waitiri 0 710 G.H. 0 711 G.P. 0 801 Halimsadiya Abdikadir 0 802 Meshack Odede 0 803 Habiba Duba 0 804 Hussein Galgalo 0 805 Hussein Galgalo 0 806 Mambe Otieno Shem 0 807 Henry Ndungu 0 809 Henry Kituyi 0 810 H.H. 0 811 H.R. 0 901 Moses Mwithiga 0 902 Ikapesi Jane 0 903 Ivy Nandongwa 0 904 Isaac Ochieng Ogutu 0 905 Pauline Muindi 0 906 Samuel Waithaka 0 907 Elizabeth Nthenya 0 1001 James Mutuku Kimweli 0 1002 Jane Atieno Mobinya 0 1003 James Mwangi 0 1004 J.D. 0 1005 James Muendo Misola 0 1006 Justina Keiti 0 1007 Jacob Isinde Kitheka 0 1008 Josephine Nanjiniah 0 1009 John Mbondo Kitetu 0 1010 John Lusinde 0 1011 Julius Kweyu Mukwe 0 1012 Jackson Mutavi 0 1013 Jane Otai 0 1014 Jacqueline Oronge 0 1015 James Hotendo Otieno 5 1016 Jane Akinyi Osindo 0 1017 Justus Mirukah Nyaosi 0 1018 J.W. 0 1019 James Wainaina Munyua 0 1020 Joyce W Ngunjiri 0 1021 Justina Kieti 0 1022 Joseph Oduor Nyagaya 0 1023 John Omondi Orengo 0 1024 J.H. 7 1025 J.R. 0 1101 Keneth Njoroge 0 1102 Elizabeth Njeri Kahurani 0 1103 Kennedy Onyango Dende 0 1104 Rose Kendagor 0 1105 Jackson Mwaniki 0 1106 Kasyoka Kivunga Joel 0 1107 Kanyiva Muindi 0 1108 Samuel Kamiru 0 1109 Kodheck N. Nyakweba 0 1110 Kennedy Otsola 0 1111 Jackson Kariuki 0 1112 Joseph Kuria 0 1113 Kelly Wambua 0 1114 Kennedy Onyango Odhiambo 0 1115 K.P. 0 1116 K.S. 0 1201 Daniel Opiya Ocholla 0 1202 Immaculate Obaga 0 1203 Linda Awuor Oloo 0 1204 Leonard Kiprono 0 1205 Lilian Shiyenzi 0 1206 Lydia Nugari 0 1207 Linet Nyongesa 0 1208 Linet Ochillo 0 1209 Grace Mulupi 0 1210 Lydia Ngugiri 0 1301 Mwaura Estone 0 1302 Kennedy Momanyi 0 1303 Mary Marubu 0 1304 Mary Sikuku 0 1305 Maryann Wakarindin 0 1306 Millicent Awuor Oduor 0 1307 Michael Ndigirigi Maina 0 1308 Mule Damaris Vaati 0 1309 Morris Mbogo 0 1310 Momita James Mariga 0 1311 Joseph Kisito Mwita 0 1312 Mary Kanyi 0 1313 Martin Kimani Kuria 0 1314 Matthew Luyundi Anyada 0 1315 George Mobutu Miruka 0 1316 Magaret Mwikali Munyaka 0 1317 M.N. 0 1318 Moses Ngotho Ngungu 0 1319 Mugenya Nicholas Odhiambo 0 1320 M.O 0 1321 Maurice Mutisya 0 1322 Muthomi Mbui 0 1323 Murigi Wanjiru 0 1324 Martha Wangui Wanjihia 0 1325 Mary Mwikali Musyoka 0 1326 Michael Maina 0 1327 M.G. 0 1401 Nyaga Wangari 0 1402 Esther Nyambura 0 1403 George Ikuro Nganga 0 1404 Nyayiemi Ikueta Moses 0 1405 Samuel Nduati Kamau 0 1406 Nelson Mbaya 0 1407 Naomi Murage 0 1408 Stephen Nganga Ngumba 0 1409 Elizabeth Nthenya 0 1410 N.P. 0 1411 N.R. 0 1412 N.Y. 0 1413 N.J. 0 1414 N.W. 0 1501 Clement Oduor Otendo 0 1502 Julius Odhiambo 0 1503 Octavia Kadenyeka Chanzu 0 1504 Odilia Muhenje 0 1505 Joshua Ouma Okello 0 1506 Oliech Onyango Peter 0 1507 Risper Anyango Okello 0 1508 Opole Reinhard Bonnke 0 1509 Onesmus Mulewa 0 1510 Joseph Owuor 0 1511 O.K. 0 1601 Peter Waka 0 1602 P.C. 0 1603 Patricia Elung'ata 0 1604 Walter Agama Agade 0 1605 Pius Kimetu Paul 0 1606 Peter Mbuta 0 1607 Peter Njongesa Wasike 0 1608 Peter Opiyo Olande 0 1609 Peter Onchuru Mokaya 0 1610 Pauline Maina 0 1611 P.I. 0 1612 P.M. 0 1613 P.O. 0 1614 P.W. 0 1615 P.A. 0 1801 Habiba Galgalo 0 1802 Rael Okiya 0 1803 R Damaries 0 1804 Roba Godana Adan 0 1805 Rosalyn Kamau 0 1806 Roselyne Buyeka 0 1807 Robert Mutinda 0 1808 Raphael Musyoki 0 1809 Rose Muthumbi 0 1810 Rhoda Nyaanga Ratemo 0 1811 Roselyne Mumbua Maithya 0 1812 Ruth Waithera 0 1813 Rael Oyugi 0 1814 Rayan Okoth Otuka 0 1815 R.B. 0 1816 R.F. 0 1817 R.G. 0 1818 R.O. 0 1901 Stephen Kibengo 0 1902 Stella Chepkemoi Bii 0 1903 Samuel Doe Ouma 0 1904 Seth Omondi Amuom 0 1905 Sora Gollo Dida 0 1906 Simon Mbuta 0 1907 Sidney Ingalia Musonye 0 1908 S.K. 0 1909 Salma Musa 0 1910 Sylvia Njoki 0 1911 Stephen Ndugu Kihiko 0 1912 Stephen Okome 0 1913 Sarah Simiyu 0 1914 Sarah Simiyu 0 1915 Stella Makasi 0 1916 Samuel M. Muhika 0 1917 Samson Waweru Wambui 0 1918 Sylvia Wanjala 0 1919 Stephen Muli Wausi 0 1920 Samuel Gitau 0 1921 S.F. 0 1922 S.H. 0 1923 S.S. 0 1924 S.W. 0 1925 S.Y. 0 1926 S.A. 0 2001 Terryanne Kinya 0 2002 Tom Omondi 0 2003 Tabitha Wangithi 0 2201 Victoria Nabwire 0 2202 Victor Chege 0 2203 Vincent Odero 0 2204 Vincent Kimanthi 0 2205 Veronica Mwani 0 2206 V.O. 0 2207 Vincent Were 0 2301 Dorcas Wairimu 0 2302 Philip Wendot 0 2303 Wekesah Fredrick 0 2304 Jacinta W Kivuitu 0 2305 Wanjala C Juma 0 2306 Lilian Nafula Wanyonyi 0 2307 Simon Wachira 0 2308 Michael Waititu Maina 0 2309 Wilson Wangui 0 2401 Administrator 0 2501 Angeline Nthenga 0 2502 Eunice Mutindi 0 2503 Scholastic Maundi 0 2504 Jane Njeri 0 2505 Everlyn Ondiek 0 2506 Sophia Wairimu 0 2507 Yusuf Maalim Isaak 0 2508 Joyce Wanjira 0 2509 Zipporah Wanjiku 0 2510 Y.Y. 0 2601 Beatrice Njeri 0 2602 Anne Wachira 0 2603 Maureen Kadogo 0 2604 Kemper Emmie 0 2605 Felistus Atieno 0 2606 Everlyn Wangui 0 2607 Elizabeth Nthenya 0 2608 Ruth kaimuri 0 2609 Millicent Atieno 0 2610 Magdalene Ashika 0 2611 Ann Wanjiru 0 2612 Boaz Okoth Aleko 0 2613 Rose Nyawira 0 2614 Beverlyne Kassim 0 2615 Elizabeth Atieno 0 2616 Agnes Wairimu 0 2617 Zipporah Wachuka 0 2618 Nancy Nyakiti 0 2619 Agnes Wanza 0 2620 Z.A. 0 2621 Z.P. 0 9995 Missing 0 9996 Other 0 9997 Refusal 0 9998 Don't know 5 9999 Not applicable 0 Interview comments 1 0 THE RESPONDENT IS DEAD 1 Sampled for physical activity validation 159 0 1 yes 159 2 Tobacco 0 3 Diet 0 4 Pedometer 0 Questionnaire Identifier 2634 0 1 11359 6214.426 3287.469 Field Worker 2634 0 38 C. Njue 47 76 I.M. 17 101 Antony Kagiri 58 102 Antony Chomba 0 103 Atieno Clarice 0 104 Andrew Mathitu 0 105 I.I. 1 106 Abdi Hussein Diba 0 107 Amogola Jacqueline 0 108 Andrew Mutuku 0 109 Atanus Mutua Mutisya 0 110 Anne Njeri 0 111 Antoni Olali 0 112 Acqueline Anyango 0 113 Ali Rukia Nyambura 0 114 Alice Thithu 0 115 Anne Nyakinyi Waweru 0 116 A. J. 13 117 A.B. 0 118 D.M. 0 119 A.K. 0 120 A.R. 0 180 G.A. 59 188 M.I. 1 196 K.G. 82 199 D.T. 0 201 Beatrice Awino 0 202 Benjamin Otiti 0 203 Ben Kaplelach 0 204 Brendah Mwarili 0 205 Bonface Mwangi Kaniu 0 206 Brendah Mwarili 0 207 Benson Njue Njeru 0 208 Bernard Onyango Origa 0 209 B.S. 0 210 Benson Nyataya 0 211 Esther Nyambura 0 212 B.E. 0 213 B.K. 0 214 B.W. 0 215 B.H. 0 216 N.D. 15 225 M.D. 0 289 C. H. 2 301 Caroline Njoki 0 302 Caroline Amuyunzu 0 303 Callen Bwari Omete 103 304 Caroline Phyllis Egesa 0 305 Moses Mwicigi 0 306 Caroline Kagwiria 0 307 Cecilia Kagwanja 263 308 Charity Kola 0 309 0 310 N.V. 29 311 Catherine Osalo 0 312 Consolanta Ogambi 0 313 Caroline Wangari 0 314 Caroline Malimu 0 401 Daniel Maina 0 402 Daniel Omondi Mboya 0 403 Daniel Omondi Ochieng 0 404 Mildred Adhiambo 111 405 Jarso Dida Gollo 77 406 Diba Duba Amina 0 407 David Ngugi Kamau 0 408 Douglas M. Onwonga 0 409 C.V. 1 410 Abdikadir Yarrow 122 411 David Ojuka 0 412 D.E. 1 413 D.W. 0 501 Evelyne Miyawa 0 502 Edward Andrew Okech 24 503 Evaline Sigei 0 504 Elius Maxwell Kariuki 0 505 Emma Muthoni Joseph 0 506 Ephraim Njeru Nyaga 0 507 Erick Obina Waga 0 508 Evelyn Muthoni 0 509 Martin Wanjohi 1 510 Ezan Mwiluki Efeza 0 511 E.D. 0 512 E.H. 0 513 E.O. 0 514 E.S. 0 601 Flora Owiti 0 602 Florence Akinyi Olum 0 603 Florence Auma 0 604 Florence A. Otieno 0 605 Frederick Otieno Ogolla 0 606 F.S. 0 701 Samuel Njai 0 702 Geofrey Akaliche Asenaka 0 703 Grace Mumbua 27 704 George Kidiga 568 705 Georginah Katethya Mugo 0 706 Grace Mumo Maundu 0 707 Ronald Ogero George 0 708 Grace Mugo 0 709 Agnes Waitiri 37 710 G.H. 0 711 G.P. 0 801 Halimsadiya Abdikadir 0 802 Meshack Odede 43 803 Habiba Duba 0 804 Hussein Galgalo 0 805 Hussein Galgalo 0 806 Mambe Otieno Shem 109 807 Henry Ndungu 43 809 Henry Kituyi 0 810 H.H. 0 811 H.R. 0 901 Moses Mwithiga 1 902 Ikapesi Jane 0 903 Ivy Nandongwa 0 904 Isaac Ochieng Ogutu 0 905 Pauline Muindi 0 906 Samuel Waithaka 0 907 Elizabeth Nthenya 0 1001 James Mutuku Kimweli 0 1002 Jane Atieno Mobinya 0 1003 James Mwangi 0 1004 J.D. 0 1005 James Muendo Misola 0 1006 Justina Keiti 0 1007 Jacob Isinde Kitheka 0 1008 Josephine Nanjiniah 0 1009 John Mbondo Kitetu 0 1010 John Lusinde 0 1011 Julius Kweyu Mukwe 0 1012 Jackson Mutavi 2 1013 Jane Otai 0 1014 Jacqueline Oronge 0 1015 James Hotendo Otieno 17 1016 Jane Akinyi Osindo 0 1017 Justus Mirukah Nyaosi 0 1018 J.W. 1 1019 James Wainaina Munyua 0 1020 Joyce W Ngunjiri 0 1021 Justina Kieti 0 1022 Joseph Oduor Nyagaya 0 1023 John Omondi Orengo 0 1024 J.H. 90 1025 J.R. 0 1101 Keneth Njoroge 0 1102 Elizabeth Njeri Kahurani 1 1103 Kennedy Onyango Dende 0 1104 Rose Kendagor 0 1105 Jackson Mwaniki 0 1106 Kasyoka Kivunga Joel 0 1107 Kanyiva Muindi 0 1108 Samuel Kamiru 0 1109 Kodheck N. Nyakweba 0 1110 Kennedy Otsola 0 1111 Jackson Kariuki 0 1112 Joseph Kuria 0 1113 Kelly Wambua 0 1114 Kennedy Onyango Odhiambo 0 1115 K.P. 0 1116 K.S. 19 1201 Daniel Opiya Ocholla 0 1202 Immaculate Obaga 0 1203 Linda Awuor Oloo 0 1204 Leonard Kiprono 0 1205 Lilian Shiyenzi 0 1206 Lydia Nugari 0 1207 Linet Nyongesa 0 1208 Linet Ochillo 0 1209 Grace Mulupi 0 1210 Lydia Ngugiri 0 1301 Mwaura Estone 0 1302 Kennedy Momanyi 2 1303 Mary Marubu 66 1304 Mary Sikuku 0 1305 Maryann Wakarindin 1 1306 Millicent Awuor Oduor 0 1307 Michael Ndigirigi Maina 0 1308 Mule Damaris Vaati 0 1309 Morris Mbogo 0 1310 Momita James Mariga 0 1311 Joseph Kisito Mwita 0 1312 Mary Kanyi 0 1313 Martin Kimani Kuria 0 1314 Matthew Luyundi Anyada 0 1315 George Mobutu Miruka 0 1316 Magaret Mwikali Munyaka 0 1317 M.N. 0 1318 Moses Ngotho Ngungu 0 1319 Mugenya Nicholas Odhiambo 0 1320 M.O 0 1321 Maurice Mutisya 0 1322 Muthomi Mbui 0 1323 Murigi Wanjiru 0 1324 Martha Wangui Wanjihia 0 1325 Mary Mwikali Musyoka 0 1326 Michael Maina 36 1327 M.G. 0 1401 Nyaga Wangari 0 1402 Esther Nyambura 0 1403 George Ikuro Nganga 0 1404 Nyayiemi Ikueta Moses 0 1405 Samuel Nduati Kamau 0 1406 Nelson Mbaya 0 1407 Naomi Murage 0 1408 Stephen Nganga Ngumba 0 1409 Elizabeth Nthenya 0 1410 N.P. 0 1411 N.R. 0 1412 N.Y. 0 1413 N.J. 0 1414 N.W. 0 1501 Clement Oduor Otendo 0 1502 Julius Odhiambo 0 1503 Octavia Kadenyeka Chanzu 0 1504 Odilia Muhenje 0 1505 Joshua Ouma Okello 0 1506 Oliech Onyango Peter 0 1507 Risper Anyango Okello 0 1508 Opole Reinhard Bonnke 0 1509 Onesmus Mulewa 0 1510 Joseph Owuor 0 1511 O.K. 0 1601 Peter Waka 0 1602 P.C. 0 1603 Patricia Elung'ata 0 1604 Walter Agama Agade 0 1605 Pius Kimetu Paul 0 1606 Peter Mbuta 0 1607 Peter Njongesa Wasike 0 1608 Peter Opiyo Olande 0 1609 Peter Onchuru Mokaya 0 1610 Pauline Maina 0 1611 P.I. 0 1612 P.M. 0 1613 P.O. 0 1614 P.W. 0 1615 P.A. 0 1801 Habiba Galgalo 0 1802 Rael Okiya 0 1803 R Damaries 71 1804 Roba Godana Adan 0 1805 Rosalyn Kamau 0 1806 Roselyne Buyeka 0 1807 Robert Mutinda 1 1808 Raphael Musyoki 0 1809 Rose Muthumbi 0 1810 Rhoda Nyaanga Ratemo 0 1811 Roselyne Mumbua Maithya 0 1812 Ruth Waithera 69 1813 Rael Oyugi 0 1814 Rayan Okoth Otuka 0 1815 R.B. 0 1816 R.F. 0 1817 R.G. 0 1818 R.O. 0 1901 Stephen Kibengo 0 1902 Stella Chepkemoi Bii 0 1903 Samuel Doe Ouma 0 1904 Seth Omondi Amuom 0 1905 Sora Gollo Dida 0 1906 Simon Mbuta 0 1907 Sidney Ingalia Musonye 0 1908 S.K. 0 1909 Salma Musa 72 1910 Sylvia Njoki 0 1911 Stephen Ndugu Kihiko 0 1912 Stephen Okome 0 1913 Sarah Simiyu 0 1914 Sarah Simiyu 0 1915 Stella Makasi 0 1916 Samuel M. Muhika 0 1917 Samson Waweru Wambui 0 1918 Sylvia Wanjala 0 1919 Stephen Muli Wausi 0 1920 Samuel Gitau 0 1921 S.F. 0 1922 S.H. 0 1923 S.S. 0 1924 S.W. 0 1925 S.Y. 0 1926 S.A. 0 2001 Terryanne Kinya 0 2002 Tom Omondi 0 2003 Tabitha Wangithi 212 2201 Victoria Nabwire 0 2202 Victor Chege 0 2203 Vincent Odero 0 2204 Vincent Kimanthi 0 2205 Veronica Mwani 0 2206 V.O. 0 2207 Vincent Were 0 2301 Dorcas Wairimu 0 2302 Philip Wendot 0 2303 Wekesah Fredrick 0 2304 Jacinta W Kivuitu 0 2305 Wanjala C Juma 0 2306 Lilian Nafula Wanyonyi 0 2307 Simon Wachira 0 2308 Michael Waititu Maina 0 2309 Wilson Wangui 16 2401 Administrator 0 2501 Angeline Nthenga 0 2502 Eunice Mutindi 0 2503 Scholastic Maundi 0 2504 Jane Njeri 0 2505 Everlyn Ondiek 0 2506 Sophia Wairimu 0 2507 Yusuf Maalim Isaak 0 2508 Joyce Wanjira 0 2509 Zipporah Wanjiku 0 2510 Y.Y. 0 2601 Beatrice Njeri 0 2602 Anne Wachira 0 2603 Maureen Kadogo 0 2604 Kemper Emmie 0 2605 Felistus Atieno 0 2606 Everlyn Wangui 0 2607 Elizabeth Nthenya 0 2608 Ruth kaimuri 0 2609 Millicent Atieno 0 2610 Magdalene Ashika 0 2611 Ann Wanjiru 0 2612 Boaz Okoth Aleko 0 2613 Rose Nyawira 0 2614 Beverlyne Kassim 0 2615 Elizabeth Atieno 0 2616 Agnes Wairimu 0 2617 Zipporah Wachuka 0 2618 Nancy Nyakiti 0 2619 Agnes Wanza 0 2620 Z.A. 0 2621 Z.P. 0 9995 Missing 0 9996 Other 0 9997 Refusal 0 9998 Don't know 103 9999 Not applicable 0 Slum of Residence 2634 0 1 Korogocho 1191 2 Viwandani 1442 8 Dont Know 1 Gender 2634 0 1 Female 1295 2 Male 1339 9 Not applicable 0 Date when Test conducted 2634 1900-01-01 9999-01-01 1900-01-01 1 2000-06-24 1 2003-11-13 1 2005-05-08 1 2006-12-14 1 2007-03-04 1 2007-03-24 1 2007-06-06 1 2007-06-25 1 2007-06-26 1 2007-07-10 1 2007-11-08 1 2007-11-12 1 2008-01-06 1 2008-01-07 2 2008-01-08 2 2008-01-09 2 2008-01-20 1 2008-02-02 1 2008-02-03 1 2008-02-09 1 2008-02-12 1 2008-02-15 4 2008-02-25 1 2008-03-04 1 2008-03-24 1 2008-04-06 1 2008-04-16 1 2008-04-17 2 2008-04-18 1 2008-04-19 3 2008-04-20 2 2008-04-21 1 2008-04-23 3 2008-04-25 4 2008-04-26 1 2008-04-29 1 2008-04-30 2 2008-05-01 3 2008-05-02 2 2008-05-03 1 2008-05-04 4 2008-05-06 1 2008-05-07 3 2008-05-08 2 2008-05-09 9 2008-05-10 12 2008-05-11 11 2008-05-14 3 2008-05-15 2 2008-05-16 6 2008-05-17 6 2008-05-18 6 2008-05-19 1 2008-05-20 4 2008-05-21 8 2008-05-22 9 2008-05-23 7 2008-05-24 10 2008-05-25 12 2008-05-26 1 2008-05-27 16 2008-05-28 17 2008-05-29 15 2008-05-30 10 2008-05-31 13 2008-06-01 2 2008-06-02 5 2008-06-03 5 2008-06-04 4 2008-06-05 7 2008-06-06 8 2008-06-07 16 2008-06-08 14 2008-06-09 5 2008-06-10 8 2008-06-11 6 2008-06-12 10 2008-06-13 8 2008-06-14 8 2008-06-15 9 2008-06-16 4 2008-06-17 9 2008-06-18 12 2008-06-19 9 2008-06-20 10 2008-06-21 10 2008-06-22 9 2008-06-24 8 2008-06-25 12 2008-06-26 8 2008-06-27 7 2008-06-28 3 2008-06-29 5 2008-07-01 1 2008-07-05 6 2008-07-06 11 2008-07-08 9 2008-07-09 9 2008-07-10 16 2008-07-11 8 2008-07-12 20 2008-07-13 16 2008-07-14 6 2008-07-15 14 2008-07-16 19 2008-07-17 18 2008-07-19 19 2008-07-20 16 2008-07-21 6 2008-07-22 14 2008-07-23 12 2008-07-24 15 2008-07-25 15 2008-07-26 16 2008-07-27 15 2008-07-29 11 2008-07-30 8 2008-07-31 7 2008-08-01 12 2008-08-02 10 2008-08-03 10 2008-08-04 4 2008-08-05 9 2008-08-06 16 2008-08-07 13 2008-08-08 10 2008-08-09 13 2008-08-10 13 2008-08-11 1 2008-08-12 8 2008-08-13 11 2008-08-14 9 2008-08-15 7 2008-08-16 4 2008-08-17 5 2008-08-19 10 2008-08-20 1 2008-08-21 1 2008-08-22 1 2008-08-23 2 2008-08-24 5 2008-08-28 2 2008-08-30 1 2008-09-04 1 2008-09-05 3 2008-09-06 1 2008-09-10 4 2008-09-11 3 2008-09-12 7 2008-09-13 5 2008-09-14 8 2008-09-15 2 2008-09-16 10 2008-09-17 10 2008-09-18 9 2008-09-19 10 2008-09-20 12 2008-09-21 10 2008-09-22 1 2008-09-23 7 2008-09-24 11 2008-09-25 8 2008-09-26 7 2008-09-27 5 2008-09-28 5 2008-09-29 7 2008-09-30 9 2008-10-01 8 2008-10-02 4 2008-10-03 7 2008-10-04 7 2008-10-05 5 2008-10-07 7 2008-10-08 7 2008-10-09 7 2008-10-10 9 2008-10-11 7 2008-10-12 6 2008-10-14 7 2008-10-15 7 2008-10-16 5 2008-10-17 7 2008-10-18 5 2008-10-19 6 2008-10-21 8 2008-10-22 7 2008-10-23 8 2008-10-24 9 2008-10-25 6 2008-10-26 7 2008-10-28 5 2008-10-29 5 2008-10-30 4 2008-10-31 4 2008-11-01 6 2008-11-02 4 2008-11-04 5 2008-11-05 5 2008-11-06 5 2008-11-07 5 2008-11-08 14 2008-11-09 11 2008-11-10 7 2008-11-11 13 2008-11-12 11 2008-11-13 8 2008-11-14 18 2008-11-15 11 2008-11-16 15 2008-11-17 5 2008-11-18 8 2008-11-19 11 2008-11-20 8 2008-11-21 9 2008-11-22 9 2008-11-23 13 2008-11-24 6 2008-11-25 5 2008-11-26 3 2008-11-27 7 2008-11-28 8 2008-11-29 4 2008-11-30 13 2008-12-01 6 2008-12-02 8 2008-12-03 4 2008-12-04 5 2008-12-05 7 2008-12-06 8 2008-12-07 3 2008-12-08 1 2008-12-09 6 2008-12-10 8 2008-12-11 9 2008-12-12 9 2008-12-13 13 2008-12-14 29 2008-12-15 11 2008-12-16 4 2008-12-17 4 2008-12-18 4 2008-12-19 4 2008-12-20 13 2008-12-21 7 2008-12-22 7 2008-12-23 7 2008-12-24 3 2008-12-25 2 2008-12-26 4 2008-12-27 4 2008-12-28 2 2008-12-29 3 2008-12-30 7 2008-12-31 5 2009-01-01 2 2009-01-02 6 2009-01-03 8 2009-01-04 3 2009-01-05 3 2009-01-06 7 2009-01-07 11 2009-01-08 6 2009-01-09 11 2009-01-10 8 2009-01-11 9 2009-01-12 5 2009-01-13 3 2009-01-14 4 2009-01-15 2 2009-01-16 4 2009-01-17 6 2009-01-18 15 2009-01-19 7 2009-01-20 10 2009-01-21 11 2009-01-22 10 2009-01-23 12 2009-01-24 17 2009-01-25 11 2009-01-26 15 2009-01-27 12 2009-01-28 9 2009-01-29 9 2009-01-30 4 2009-01-31 4 2009-02-01 4 2009-02-02 6 2009-02-03 7 2009-02-04 8 2009-02-05 5 2009-02-06 3 2009-02-07 10 2009-02-08 5 2009-02-09 1 2009-02-10 6 2009-02-11 7 2009-02-12 4 2009-02-13 3 2009-02-14 4 2009-02-15 13 2009-02-16 1 2009-02-17 7 2009-02-18 1 2009-02-19 3 2009-02-21 3 2009-02-22 6 2009-02-23 7 2009-02-24 2 2009-02-25 5 2009-02-26 8 2009-02-27 9 2009-02-28 15 2009-03-01 9 2009-03-02 7 2009-03-03 11 2009-03-04 13 2009-03-05 12 2009-03-06 16 2009-03-07 16 2009-03-08 23 2009-03-09 14 2009-03-10 11 2009-03-11 11 2009-03-12 11 2009-03-13 14 2009-03-14 14 2009-03-15 18 2009-03-16 5 2009-03-17 4 2009-03-18 8 2009-03-19 13 2009-03-20 15 2009-03-21 3 2009-03-22 9 2009-03-23 4 2009-03-24 5 2009-03-25 6 2009-03-26 10 2009-03-27 10 2009-03-28 11 2009-03-29 12 2009-03-30 6 2009-03-31 7 2009-04-01 9 2009-04-02 8 2009-04-03 6 2009-04-04 7 2009-04-05 7 2009-04-06 1 2009-04-07 4 2009-04-08 1 2009-04-09 4 2009-04-10 9 2009-04-11 5 2009-04-12 7 2009-04-13 2 2009-04-14 66 2009-04-15 1 2009-04-30 1 2009-05-01 1 2009-05-02 1 2009-05-19 2 2009-06-02 2 2009-06-18 1 2009-07-02 3 2009-08-02 2 2009-08-03 3 2009-09-16 1 2009-09-26 1 2009-10-02 1 2009-10-03 1 2009-11-02 2 2009-11-05 1 2009-12-29 1 2200-01-01 3 9999-01-01 8 Respondent ID 2634 0 Location ID 2633 0 Start Time 2634 0 60000 86340000 29400159.453 14718684.452 Time after 1 Hour 2629 5 60000 86340000 29829128.946 17755014.925 End Time 2634 0 60000 86340000 34555990.888 16707618.618 1st Test after 0 Hour 1108 1526 0.01 97.97 5.639 9.291 2nd Test after 1 Hour 78 2556 2.8 8.1 5.161 1.269 3rd Test after 2 Hour 2407 227 0.2 97.97 6.943 6.641 4th Test 2407 227 0.53 99.97 5.914 6.68 Note if Respondent Diabetic/Any Illness/Taking Medication/Inactive 2620 3*100 1 9 1 95 6 99 310 995 12 9995 1 ABSENT 1 ASTHMATIC 1 ATTEND ONE OF THE CLINICS AND WASNT ATTEND TO SO DOESNT NEED ANY OF OUR HELP 1 B.P DRUGS 1 B.P DRUGS/HERBALS. 1 BLOOD PRESSURE DRUGS 1 CAROLINE IS CURRENTLY IN LOCATION V012164001 1 CHEST PROBLEM,COUGHING,RIBCAGE WHEN BREATING 1 CHEST PROBLEM. 1 CHEST PROBLEMS. 1 COMES LATE 1 COMMON COLD 3 COMMON COLD. 1 COMPLAINED OF GENERALM BODY RIGIDITY 1 COMPLAINING OF CHEST PROBLEMS 1 COMPLAINS OF BACK PROBLEMS AND FATIGUE 1 COMPLAINS OF BACK-ACHES NOT ON MEDICATION. 1 COMPLAINS OF CHEST PAINS AND SOMETIMES DIFFICULTY IN BREATHING WHEN ASLEEP. 1 COMPLAINS OF CONSTANT, INTERMITTENT STOMACH UPSETS. 1 COMPLAINS PAINS ON ONE SIDE OF THE BODY 1 DIAGONISED WITH DIABETES FOUR YEARS AGO 1 DIAGONISED WITH DIABETES. 1 DIATBETIC 1 DIFFICULTY IN WALKING 1 DONE 1 EXITED TO UNKNOWN DESTINATION 1 FREDRICK WESONGA OKUNGA IS A MECHANIC IN LONG DISTANT TRUCKS AND HIS TIME OF COMING BACK FROM NEIGHBOURING COUNTRIES (RWANDA/UGANDA) IS UNKNOWN ONCE HE LEAVES THE COUNTRY. 1 HAD ALOT OF HANGOVER. 1 HARD FIND 1 HARD OT FIND 1 HARD TO FIND 46 HARD TO FIND AND EVEN REFUSED. 1 HARD TO FIND. 9 HARD TO GET 2 HARD TO GET BUT I SUSPECT TO BE DIABETIC 1 HAS HEADACHES AND NOT ON MEDICATION 1 HAS MALARIA,HEADACHE AND COUGH. 1 HAS PAIN- GENERAL AND FEELS TIRED 1 HAS SWOLLEN, PAINFUL TONSILTS.NOT ON MEDICATION. 1 HAS TUBERCLOSIS 1 HE COMPLAINS OF CHEST AND BODY PAINS. 1 HE EXITED TO UKNOWN LOCATION 1 HE HAS A COLD AND IS THEREFORE COUGHING 1 HE HAS A COMMON COLD AND HE IS ON DRUGS. 1 HE HAS A COMMON COLD. 1 HE HAS COMMON COLD AND BODY PAINS DUE TO ACCIDENT (FALL). 1 HE IS AMPUTATED AND HAS LIMITED ACTIVITY. 1 HE IS AMPUTATED BUT CAN MOVE AROUND. 1 HE IS ASTHMATIC AND IS ON DRUGS 1 HE IS ASTHMATIC. 1 HE IS BLIND 1 HE IS BLIND. 1 HE IS HYPERENSIVE BUT HAS NEVER ATTENDED ANY CLINIC 1 HE IS HYPERTENSIVE 6 HE IS HYPERTENSIVE AND ON DRUGS 1 HE IS HYPERTENSIVE. 3 HE IS HYPERTNSIVE. 1 HE IS INACTIVE 1 1 HE IS ON MEDICATION FOR COMMON COLD. 1 HE IS ON MEDICATION FOR HYPERTENSION. 1 HE IS ON MEDICATION. 1 HE IS ON NARCOTICS. 1 HE IS ON T.B DRUGS 1 1 HE IS SICK - COUGHS, SNEEZES, AND IS INACTIVE. 1 HE IS SICK; A SWOLLEN LEFT ARM. HE IS ON MEDICATION. 1 HE IS TAKING ARV 1 HE IS TAKING BLOOD PRESSURE MEDICINE 2 HE IS TAKING PAIN KILLERS 1 HE IS TAKING SOME MEDICINE 1 HE SUSPECT TO HAVE MALARIA ,HE EXPLAINED THE SYMPTOMS 1 HE SUSPECTS TO HAVE MALARIA. NOT ON MEDICATION 1 HE'S GOT MALARIA, COMMON COLD AND COUGHS. 1 HEADACHE ,PAINFUL CHEST AND ULCERS 1 HYPERTENSIVE AND NOT ON MEDICATION 1 HYPERTENSIVE AND UNDER MEDICATION 3 HYPERTENSIVE AND UNDER MEDICATION. 1 HYPERTENSIVE UNDER MEDICATION 3 HYPERTENSIVE UNDER MEDICATION. 2 HYPERTENSIVE. 1 HYPERTENSIVE. UNDER MEDICATION 1 I FOUND HIM PARKING TO MIGRATE OUTSIDE THE DSA. 1 INACTIVE 1 IS HYPERTENSIVE 1 IS HYPERTENSIVE BUT NO TAKING ANY DRUG 1 IS HYPERTENSIVE BUT TAKING ANY DRUG 1 IS HYPERTESIVE BUT ATTENDING MEDICATION 1 IS ILL ON MEDICATION AND IS INACTIVE 1 KNOWN HYPERTENSIVE 1 MALARIA DRUG 1 MALARIA DRUGS 2 N ONE 1 N/A 812 N/A (NO) 1 N/S 1 NA 6 NIL 4 NO ILLNESS BUT SHE SAID SHE IS TAKING WEIGHT REDUCTION MEDICATION 1 NON E 1 NONE 1089 NONE BUT PARALYTIC IN ONE LEG. 1 NONE,LUCIA MWENI KILINGA WENT TO STAY IN RURAL HOME,ONLY HER HUSBAND WHOM I TALKED TO IS WITHIN ,ITS UKNOWN WHEN SHE WILL COME BACK TO STAY HERE AGAIN .SHE CAME BACK 07/12/2008.OGTT DONE ON 13/12/2008 1 NONE,RESPONDENT IS BREAST FEEDING AND SHE SAYS AFTER SUCKLING SH E FEELS HUNGRY SERIOUSLY. 1 1 NONE,THIS GUY IS CALLED MESHACK MWANTHI KAVUA, 1 NONE. 8 NONE.COMES HOME VERY LATE 1 NONE.THE MAN DOES NOT STAY HERE HE ONLY COME TO VISIT THEM. 1 ODD 1 ODD HOURS 6 OGG HOURS 1 OGTT REFUSAL 1 1 ON HIGH BLOOD PRESSURE MEDICATION.NIFEDIPIN;EITROXIN; EPSITRON. 1 ON MEDICATION ,SUFFERING FRIOM MALARIA 1 ON MEDICATION - CARDISPRIN, NIFEDIPIN AND BRUFEN. 1 ON MEDICATION .SEPTRIN & FOLIC ACID. 1 ON MEDICATION FOR HIGH BLOOD PRESURE. 1 ON MEDICATION FOR HYPERTENSION 1 ON MEDICATION FOR PRESSURE 1 ON MEDICATION WIT CHEST PAINS 1 ON MEDICATION WITH CHEST PAINS. 1 ON MEDICATION, SUFFERING FROM MALARIA. 1 ON MEDICATION,SUFFERING FROM CHEST PAINS. 1 ON MEDICATION,SUFFERING FROM STROKE 1 ON MEDICATION,SUFFERING FROM TB. 1 ON MEDICATION. FOLIC ACID & FERROUS. 1 ON TB DRUGS.HE ALSO COUGHS ALOT. 1 ON TREATMENT FOR HIGH BLOOD PRESSURE 1 ON TREATMENT FOR HIGH BLOOD PRESSURE. 1 ON TREATMENT FOR HYPERTENSION 2 ON TREATMENT FOR URINAL COMPLICATIONS. 1 ONESMUS WAS IN LOCATION V019069004 BUT NOW IN V019070004 1 OUT MIGRATION 1 OUTMIGRATED TO EASTLEIGH 1 PAIN KILLERS 2 PAIN KILLERS-PAIN OF JOINTS 1 PAINFUL CHEST BUT NOT ON MEDICATION. 1 PAINFUL FEET AND WAS HAVING HANG-OVERS 1 PAINFUL JOINTS,SHE IS ON PANADOLS,SHE HAS HEADACHE 1 PAINLESS 1 PATIENT SAYS HE TAKES A LOT OF TEA DAILY CLOSE TO 2.5 GIANT FULL THERMOS FLASKS. 1 REFUSAL FOR OGTT 1 REFUSED 5 REFUSED BECAUSE SHE WAS TOLD SHE IS NORMAL AND GAVE ME THE RESULTS,BUT WITH TIME AGREED FOR ANOTHER TEST. 1 REFUSED. 1 RESPODENT IS USING MEDICATION FOR ULCERS 1 RESPONDENT HAS NO DIABETIC OR ANY ILLNESS. 1 RESPONDENT IS DIABETIC. 1 RESPONDENT IS UNDER MEDICATION BECAUSE SHE HAD RED SCARS IN THE MOUTH.SHE EXITED TO V039090006. 1 RESPONDENT IS UNDER MEDICATION BECAUSE WAS OPERATED BECAUSE HE HAD URINAL PROBLEMS. 1 RESPONDENT IS UNDER MEDICATION DUE TO HIGH BLOOD PRESSURE. 1 RESPONDENT IS USING MALARIA TABLETS 1 RESPONDENT IS USING MEDICINE FOR AMOEBA. 1 RESPONDENT IS USING TB MEDICINE 1 RESPONDENT NOT DIABETIC AND IS UNDER MEDICATION 1 RESPONDENT REFUSED SAYING NO NEED TO BE TESTED BECAUSE SHE WAS TESTED AND TOLD THAT THE LEVEL OF BLLOD SUGAR WAS OKAY. 1 RESPONDENT REFUSED,SAYING HE FEARS BEING PRICKED. 1 1 RESPONDENT WAS HAD TO FIND 1 RESPONDNENT NOT DIABETIC AND IS USING TRADITIONAL HERBS TO CURE HIGH BLOOD PRESSURE. 1 1 SHE COMPLAINS OF GENERAL BODY PAINS 1 SHE COMPLAINS OF PAINS ON ONE ARM (LEFT ARM) 1 SHE COMPLAINS OF RESPIRATORY PROBLEMS 1 SHE HAD GONE THROUGH OPERATION BECAUSE OF A GROWTH IN HER UTERUS. 1 SHE HAS A CHEST PROBLEM AND IS COUGHING. 1 SHE HAS A COMMON COLD. 1 SHE HAS A COUGH. 1 SHE HAS A GROWTH ON THE HIPS;SHE FEELS PAIN ALL OVER HER BODY. 1 SHE HAS BLOOD PRESSURE MEDICINE 1 SHE HAS COMMON COLD 1 SHE HAS COMMON COLD AND FLU. 1 SHE HAS COMMON COLD AND IS ON MEDICATION. 1 SHE HAS COMMON COLD AND IS VERY WEAK 1 SHE HAS GOT HEADACHE 1 SHE HAS HIGH BLOOD PRESSURE 2 SHE HAS MALARIA. 1 SHE HAS PAIN IN HER BACK BONE. 1 SHE HAS SERIOUS STOMACH UPSETS 1 SHE IS A KNOWN DIABETIC AND IS ON TREATMENT/MEDICATION. 1 SHE IS DIABETIC SO DOESN'T NEED OGTT 1 SHE IS DIABETIC. 1 SHE IS HANDICAPPED AND VERY SICK. 1 SHE IS HYPERTENSIVE 10 SHE IS HYPERTENSIVE AND HAS CHEST PROBLEMS. SHE IS INACTIVE TOO. 1 SHE IS HYPERTENSIVE AND IS DIABETIC 1 SHE IS HYPERTENSIVE AND IS ON MEDICATION 1 SHE IS HYPERTENSIVE AND ON MEDICATION. 3 SHE IS HYPERTENSIVE AND POSSIBLY DIABETIC 1 SHE IS HYPERTENSIVE. 5 SHE IS HYTERTENSIVE AND DIABETIC AND IS ON TRADITIONAL MEDICNIE 1 SHE IS ILL AND ON DRUGS. SHE HAS COMMON COLD. 1 SHE IS INACTIVE 1 SHE IS ON ANTI-MALARIAL DRUGS. 1 SHE IS ON DRUGS AND IS DIABETIC. 1 SHE IS ON MEDICATION FOR HYPERTENSION 2 SHE IS ON MEDICATION PARACETAMOL 1 SHE IS ON MEDICATION, VITAMIN AND APPETIZERS. 1 SHE IS ON MEDICATION. 2 SHE IS ON MEDICATION. TAKING A.R.V'S. 1 SHE IS ON MEDICATION.PILLS FOR ALLERGY. 1 SHE IS ON PNEUMONIA DRUGS 1 SHE IS ON TREATMENT 1 SHE IS ON TREATMENT FOR PRESSURE. 1 SHE IS SICK AND IN ACTIVE. SHE IS ALSO ON MEDICATION. 1 SHE IS SICKLY .MALARIA ANS IS INACTIVE. 1 SHE IS SICKLY AND INACTIVE. 1 SHE IS SICKLY AND ON DRUGS 1 SHE IS SICKLY STOMACH PAINS AND A HEADACHE. 1 SHE IS TAKING BLOOD PRESSURE MEDICINE. 1 SHE IS TAKING PAIN KILLER 1 SHE IS TAKING PAINKILLERS 1 SHE IS TAKING TB MEDICINE. 1 SHE IS UNDER NO MEDICATION - SHE IS NOT SICK. 1 SHE IS UNDER NO MEDICATION BUT SHE IS SERIOUSLY SICK, BLIND AND VERY HELPLESS. 1 SHE IS USING BLOOD PRESSURE MEDICINE 1 SHE IS VERY HYPERTENSIVE 1 SHE IS VERY SIKCLY.SHE IS COUGHING AND HAS A PAINFUL CHEST. 1 SHE THINKS SHE HAS AMOEBIC DYSENTRY ,SHE HAS STOMACH ULCER 1 SHE TOLD ME THIS IS THE THIRD TEST AND NO NO MORE WILL SHE ALLOW. 1 SHE WAS FEARING SHE MIGHT FIND HERSELF DIABETIC AND THAT SHE WAS REFUSING. 1 SHE WILL BE BACK IN THE MONTH OF APRIL 1 SHE'S ON PRESSURE MEDICATION. 1 STOMACH UP-SETS 1 SUFFERING FROM MALARIA .ON MEDICATION 1 SUFFERING FROM MALARIA AND TAKING MEDICATION. 1 SUFFERS FROM GASTRIC AND ALCERS. 1 TAKES MEDICATION OF BLOOD PRESSURE 1 TAKES MEDICATION-PAIN KILLERS. 1 TAKES MEDICINE FOR HIGH BLOOD PRESSURE. 1 TAKES TRADITIONAL MEDICATION. 1 TAKING MEDICATION (COUGH SYRUP - TRICOHIST) 1 TAKING MEDICATION FOR ULCERS AND SHE IS MILDLY SICK. 1 TAKING MEDICINE FOR DIABETES. 1 1 THE RESPONDENT COMES AT LATE HOURS,AND HE IS HARD TO FIND . 1 THE RESPONDENT COMPLAINED OF GENERAL PAIN IN ALL HER BODY PARTS.HOWEVER,SHE DOESN'T USE ANY MEDICATION. 1 THE RESPONDENT COMPLAINS OF HIGH HEART RATE AND HIGH BODY TEMPERATURE EVEN WHEN IT'S COLD. 1 THE RESPONDENT HAS A BROKEN LEG,SHE IS BED RIDDEN 1 THE RESPONDENT HAS COMMON COLD BUT IS ACTIVE AND UNDER NO MEDICATION. 1 THE RESPONDENT HAS ELEPHANTIASIS 1 THE RESPONDENT HAS HIGH B.P UNDER THE MEDICATION. 1 THE RESPONDENT HAS HIGH BLOOD PRESSUREBUT NOT UNDER MEDICATION. 1 THE RESPONDENT IS A SHOPKEEPER, NOT ON MEDICATION. 1 THE RESPONDENT IS ALREADY DIABETIC HENCE NO NEED FOR OGTT 1 1 THE RESPONDENT IS HANDICAPT SHE DOESN'T HAVE LEG- SHE HAS LEPROSY 1 THE RESPONDENT IS HARD TO BE SEEN 1 THE RESPONDENT IS SICKLY AND MOVES BY AID OF A WHEELCHAIR/ PARTIAL CRIPPLES. 1 1 THE RESPONDENT IS UNDER NO MEDICATION AND DOES NOT HAVE ANY HEALTH PROBLEM. 1 THE RESPONDENT IS VERY MUCH ILL AND IS BEDRID. 1 THE RESPONDENT REFUSED OGTT TEST 1 THE RESPONDENT REFUSED THE OGTT TEST 1 1 THIS WAS HER THIRD ROUND FOR PEOPLE COMING FOR TESTS. 1 TONSOLITIES,BACKACHE,AND TREATMENT FOR PRESSURE. 1 UNDER MEDICATION FOR HIGHPERTENSION. 1 UNDER MEDICATION FOR HYPERTENSION 1 UNDER MEDICATION FOR PRESSURE 2 UNDER MEDICATION FOR PRESSURE. 1 UNDER MEDICATION OF HYPERTENSION 1 UNDER NO MEDICATION 2 UNDER NO MEDICATION AND NOT SICK. 1 UNDER NO MEDICATION. 3 UNDER PRESSURE MEDICATION 1 UNDERMEDICINE 1 WENT HOME FOR LEAVE FOR 1AND HALF MONTHS TILL APRIL. 1 YES,THE RESPONDENT IS USING TRADITIONAL MEDICINES AND HAS SOME ILLNESSES. 1 YES. HAS SOME PAIN IN HIS BACK AND JOINTS. 1