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

Datos Bibliográficos

ID21184366
AutoresRyan G Wagner (0000-0003-2741-3676, University of the Witwatersrand), Nigel J Crowther (0000-0002-5766-1745, National Health Laboratory Service), Francesc Xavier Gómez-Olivé (0000-0002-4876-0848, University of the Witwatersrand), Chodziwadziwa Kabudula (0000-0002-5867-0336, University of the Witwatersrand), Kathleen Kahn (0000-0003-3339-3931, University of the Witwatersrand), Memory Mhembere (University of the Witwatersrand), Zola Myakayaka (0000-0003-0168-1920, University of the Witwatersrand), Stephen Tollman (0000-0003-0744-7588, University of the Witwatersrand), Alisha N Wade (0000-0002-1158-2523, University of the Witwatersrand, autor de correspondencia)
Año2018
Volumen11
Númerosup2
Páginas1549436
Fecha de publicación2018-11-16
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaGlobal Health Action (JOURNAL)
Identificadores de la revistaISSN: 1654-9716 • E-ISSN: 1654-9880
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/16549716.2018.1549436
PMID30499746
OpenAlexW2902139016
IdiomaEN
Citas recibidas6
Referencias citadas39

BACKGROUND: Despite 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. OBJECTIVES: To investigate overall and sex-specific determinants of BMI in a rural adult South African population undergoing rapid social and epidemiological transitions. METHODS: Baseline 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. RESULTS: [95% CI 20.3-26.8];p < 0.001) with male sex associated with 17% lower BMI. In sex-stratified multiple linear regression models, compared to those never married, BMI was 7% higher in currently married males and 6% in currently married females. Current smoking in men and former smoking in women were associated with reductions in BMI of 13% and 26% respectively, compared with non-smokers. Higher educational attainment in women and higher socioeconomic status in men were both associated with higher BMI, while being HIV-positive and alcohol consumption in women were associated lower BMI. CONCLUSIONS: Female 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

Body mass index · Environmental health · Geography · Population · Socioeconomic status · Sociology · Body Composition Measurement Techniques · Demography · Diabetes, Cardiovascular Risks, and Lipoproteins · Genetic Associations and Epidemiology · Medicine · Psychology · Gerontology