UPHD - Survey on Social, Health and Overall wellbeing of older people (50+ years)

KENYA, 2006 - 2010
Population Dynamics and Urbanization in Africa (PDAU)

African Population & Health Research Center,

CSV JSON

Female image likely to develop diabetes (v1309)

Data file: AllWavesCombined

Overview

vald 1226

invd 4665

Interval discrete

Decimal 0

Range 1 - 99

Questions and instructions

Literal question

13.9 Develop Diabetes

Categories

Value	Category	Cases
1		42	3.4%
2		14	1.1%
3		39	3.2%
4		33	2.7%
5		102	8.3%
6		55	4.5%
7		641	52.3%
8		17	1.4%
9		14	1.1%
10		14	1.1%
11		15	1.2%
12		21	1.7%
13		17	1.4%
14		79	6.4%
15		52	4.2%
16		14	1.1%
17		10	0.8%
18		8	0.7%
19		1	0.1%
95	Missing	0	0%
97	Refused	20	1.6%
98	Don't Know	0	0%
99	NA	18	1.5%
Sysmiss		4665

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Question pretext

13.0 Body Image Assessment

I am now going to show you some images of people of different sizes and I would like to know what you think about the images and answer some questions about people who may have similar body sizes.

Which of the images you see is of a person most likely to be...

Interviewer instructions

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

Description

Text

Female Image - Likely to develop diabetes

Universe

All DSS Residents 50 years and above