Evidence map›Paper›PMID 29966508›Full record

ArticleGlobal health action2018

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project.

Gershim Asiki, Shukri F Mohamed, David Wambui, Caroline Wainana, Stella Muthuri, Michelle Ramsay, Catherine Kyobutungi, as members of AWI-Gen the H3Africa Consortium

Abstract read
In one paragraph

Article in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gershim Asikia Health and Systems for Health Unit , African Population and Health Research Center , Nairobi , Kenya.ORCID 0000-0002-9966-1153
Shukri F Mohameda Health and Systems for Health Unit , African Population and Health Research Center , Nairobi , Kenya.ORCID 0000-0002-8693-1943
David Wambuia Health and Systems for Health Unit , African Population and Health Research Center , Nairobi , Kenya.
Caroline Wainanaa Health and Systems for Health Unit , African Population and Health Research Center , Nairobi , Kenya.
Stella Muthuria Health and Systems for Health Unit , African Population and Health Research Center , Nairobi , Kenya.
Michelle Ramsayc Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4156-4801
Catherine Kyobutungia Health and Systems for Health Unit , African Population and Health Research Center , Nairobi , Kenya.ORCID 0000-0002-5344-5631
as members of AWI-Gen the H3Africa Consortium

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

backgroundBody mass index (BMI) is rising globally with a faster increase in urban areas in low- and middle-income countries. It is critical to identify modifiable risk factors for BMI to prevent the occurrence of associated health consequences.

objectiveTo investigate socio-demographic, behavioural and biological factors associated with BMI in Nairobi slums.

methodsIn 2014-2015, a cross sectional study of men and women aged 40-60 years in Nairobi slums (Korogocho and Viwandani) was conducted. Data were collected on socio-demographic, behavioural and biological characteristics. Mean BMI, overweight and obesity were computed. Hierarchical multiple linear regression analysis was conducted separately for men and women to explore factors associated with BMI.

resultsIn total, 1942 study participants (54.4%, women) with a mean age (SD) of 48.3 (5.3) years and 48.8(5.6) years for women and men respectively were recruited. Mean BMI was higher among women than men (27.6 versus 22.8; p < 0.001). More women were overweight (30.9% versus 19.6%; p < 0.001) and obese (32.1% versus 5.1%; p < 0.001) than men. Among men, BMI was independently associated with wealth index, bread consumption and self-reported diabetes and was negatively associated with current tobacco smoking, HIV and TB infections. Among women, BMI was independently associated with wealth, current non-problematic drinking, and sedentary time, but was lower among other ethnicities compared to Kikuyu, among current smokers, women with longer sleep, and those with HIV infection and tuberculosis. Wealth index contributed the most variance in BMI among women and men (10.4%, 7.5%, respectively), but behavioural factors (7.4%) among men and biological factors (6.5%) among women accounted for most of the additional BMI variance.

conclusionsAdults aged 40-60 years in the urban slums of Nairobi have a high BMI associated with wealth. Bread consumption by men and sedentary life among women are the main risky behaviours that need urgent targeted interventions.

Indexed as

Body Mass IndexHealth BehaviorPoverty AreasAdultAlcohol DrinkingCross-Sectional StudiesDiabetes MellitusFemaleHIV InfectionsHumansKenyaMaleMiddle AgedObesityOverweightRisk Factorsassociated factorsBody Mass Index (BMI)KenyaNairobiurban slums

Identifiers

PMID29966508
PMCPMC6032012

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.