Evidence map›Paper›PMID 30079826›Full record

ArticleGlobal health action2018

Demographic, socio-economic and behavioural correlates of BMI in middle-aged black men and women from urban Johannesburg, South Africa.

Lisa K Micklesfield, Juliana Kagura, Richard Munthali, Nigel J Crowther, Nicole Jaff, Philippe Gradidge, Michèle Ramsay, Shane A Norris, 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 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
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  8. The Impact of Human Immunodeficiency Virus and Menopause on Bone Mineral Density: A Longitudinal Study of Urban-Dwelling South African Women.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023
    Article
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  14. Review
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  19. Demographic and Socioeconomic Determinants of Body Mass Index in People of Working Age.International journal of environmental research and public health · 2020
    Article
  20. Gender Differences in Oesophageal Squamous Cell Carcinoma in a South African Tertiary Hospital.International journal of environmental research and public health · 2020
    Article
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

9 authors.

Lisa K Micklesfielda MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4994-0779
Juliana Kaguraa MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-6608-6930
Richard Munthalia MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0001-8492-7409
Nigel J Crowtherc Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-5766-1745
Nicole Jaffa MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-6349-0946
Philippe Gradidgea MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0001-5225-1184
Michèle Ramsayb Sydney Brenner Institute for Molecular Bioscience and Division of Human Genetics, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4156-4801
Shane A Norrisa MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0001-7124-3788
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 HG006938Wellcome Trust
6 · The paper itself

Abstract

backgroundThere is a high and increasing prevalence of overweight and obesity in South Africans of all ages. Risk factors associated with overweight and obesity must be identified to provide targets for intervention.

objectiveTo identify the demographic, socio-economic and behavioural factors associated with body mass index (BMI) in middle-aged black South African men and women.

methodsData on demographic and socio-economic factors were collected via questionnaire on 1027 men and 1008 women from Soweto Johannesburg, South Africa. Weight and height were measured and BMI was determined. Behavioural factors included tobacco use and consumption of alcohol, and physical activity data were collected using the Global Physical Activity Questionnaire. Menopausal status was determined for the women, and HIV status was available for 93.6% of the men and 39.9% of the women.

resultsSignificantly more women were overweight or obese than men (87.9 vs. 44.9%). Smoking prevalence (current or former) and minutes spent in moderate to vigorous intensity physical activity was significantly different between the sexes (both p < 0.0001). In the final hierarchical model, marital status (+ married/cohabiting), household asset score (+), current smoking (-), moderate to vigorous physical activity (-) and HIV status (- HIV infected) significantly contributed to 26% of the variance in BMI in the men. In the women, home language (Tswana-speaking compared to Zulu-speaking), marital status (+ unmarried/cohabiting), education (-), current smoking (-) and HIV status (- HIV infected) significantly contributed to 14% of the variance in BMI.

conclusionsThe sex difference in BMI and the prevalence of overweight and obesity between black South African men and women from Soweto, as well as the sex-specific associations with various demographic, socio-economic and behavioural factors, highlight the need for more tailored interventions to slow down the obesity epidemic.

Indexed as

Black PeopleBody Mass IndexHealth BehaviorAdultAlcohol DrinkingBody WeightExerciseFemaleHumansMaleMiddle AgedObesityOverweightPrevalenceRisk FactorsSmokingBMIBMI distribution across African communitiesObesityoverweightphysical activitysocio-economic statusSouth Africa

Identifiers

PMID30079826
PMCPMC6084500

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.