Evidence map›Paper›PMID 30499746›Full record

ArticleGlobal health action2018

Sociodemographic, socioeconomic, clinical and behavioural predictors of body mass index vary by sex in rural South African adults-findings from the AWI-Gen study.

Ryan G Wagner, Nigel J Crowther, F Xavier Gómez-Olivé, Chodziwadziwa Kabudula, Kathleen Kahn, Memory Mhembere, Zola Myakayaka, Stephen Tollman, Alisha N Wade, as members of AWI-Gen and the H3Africa Consortium

Open access · goldAbstract 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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 29 citations in OpenAlex.

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  5. Obesity and sickness absenteeism among health workers in a private hospital in South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2022
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  10. Social and Psychological Predictors of Body Mass Index among South Africans 15 Years and Older: SANHANES-1.International journal of environmental research and public health · 2019
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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

10 authors at 2 institutions in 3 countries.

Ryan G Wagnera MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0003-2741-3676
Nigel J Crowtherc Department of Chemical Pathology, National Health Laboratory Service and Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-5766-1745
F Xavier Gómez-Olivéa MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.
Chodziwadziwa Kabudulaa MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.
Kathleen Kahna MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.
Memory Mhemberea MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.
Zola Myakayakaa MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0003-0168-1920
Stephen Tollmana MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.
Alisha N Wadea MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-1158-2523
as members of AWI-Gen and the H3Africa Consortium
University of the Witwatersrand · ZANational Health Laboratory Service · ZA

Funding

SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Michele Michele Ramsay · 2013 to 2026
$37.3M
Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
Endocrine and metabolic diseases in rural South Africa-establishing burden and improving detectionK43TW010698 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI WADE, ALISHA NICOLE · 2017 to 2021
$581k
FIC NIH HHS K43 TW010698NHGRI NIH HHS U54 HG006938NIA NIH HHS P01 AG041710Wellcome TrustWellcome Trust 058893/Z/99/AWellcome Trust 069683/Z/02/ZWellcome Trust 085477/B/08/ZWellcome Trust 085477/Z/08/Z
6 · The paper itself

Abstract

backgroundDespite increasing obesity in South African adults, data on the prevalence and determinants of body mass index (BMI) from rural communities, home to a significant proportion of the population, are scarce.

objectivesTo investigate overall and sex-specific determinants of BMI in a rural adult South African population undergoing rapid social and epidemiological transitions.

methodsBaseline cross-sectional demographic, socioeconomic, anthropometric, clinical and behavioural data were collected between 2015 and 2016 from 1388 individuals aged 40-60 years and resident in the Agincourt sub-district of Mpumalanga province, a setting typical of rural northeast South Africa. A Health and Socio-Demographic Surveillance System (HDSS) underpins the sub-district and contributes to the Africa Wits-INDEPTH partnership for Genomic Studies (AWI-Gen). Linear regression was used to investigate univariate associations between log-transformed BMI and individual variables and multiple linear regression was used to investigate independent predictors of BMI overall and in sex-stratified analyses.

resultsMedian BMI was significantly higher in females (28.7 kg/m

conclusionsFemale sex strongly predicts higher BMI in this rural African population. While some predictors of higher BMI differ by sex, married individuals in both sexes had a higher BMI, suggesting that, in addition to developing sex-specific interventions to combat overweight and obesity, targeting married couples may result in reduction in population BMI.

Indexed as

Body Mass IndexSex FactorsSocioeconomic FactorsAdolescentAdultAgedAnthropometryBlack PeopleCross-Sectional StudiesFemaleHealthy LifestyleHumansMaleMiddle AgedObesityOverweightBMIgenderObesityruralSouth Africa

Identifiers

PMID30499746
PMCPMC6282437
OpenAlexW2902139016

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.