Show simple item record Ramsay, Michèle Crowther, Nigel J. Agongo, Godfred Ali, Stuart A. Asiki, Gershim Boua, Romuald P. Gómez-Olivé, F. Xavier Kahn, Kathleen Christopher Khayeka-Wandabwa, Christopher Mashinya, Felistas Micklesfield, Lisa Mukomana, Freedom Nonterah, Engelbert A. 2019-10-22T07:22:56Z 2019-10-22T07:22:56Z 2018
dc.identifier.issn 1654-9716
dc.identifier.issn 1654-9880
dc.description Journal article published in the journal of GLOBAL HEALTH ACTION 2018, VOL. 11, 90–97 en_US
dc.description.abstract Background: African populations are characterised by diversity at many levels including: demographic history, genetic ancestry, language, wealth, socio-political landscape, culture and behaviour. Several of these have a profound impact on body fat mass. Obesity, a key risk factor for cardiovascular and metabolic diseases, in the wake of the epidemiological and health transitions across the continent, requires detailed analysis together with other major risk factors. Objective: To compare regional and sex-specific body mass index (BMI) distributions, using a cross-sectional study design, in adults aged 40–60 years across six study sites in four subSaharan African (SSA) countries and to compare the determinants of BMI at each. Methods: Anthropometric measurements were standardised across sites and BMI calculated. Median BMI and prevalence of underweight, lean, overweight and obesity were compared between the sexes and across sites. Data from multivariable linear regression models for the principal determinants of BMI were summarised from the site-specific studies. Results: BMI was calculated in 10,702 participants (55% female) and was significantly higher in women than men at nearly all sites. The highest prevalence of obesity was observed at the three South African sites (42.3–66.6% in women and 2.81–17.5% in men) and the lowest in West Africa (1.25–4.22% in women and 1.19–2.20% in men). Across sites, higher socioeconomic status and educational level were associated with higher BMI. Being married and increased dietary intake were associated with higher BMI in some communities, whilst smoking and alcohol intake were associated with lower BMI, as was HIV infection in the regions where it was prevalent. Conclusion: In SSA there is a marked variation in the prevalence of obesity both regionally and between men and women. Our data suggest that the drive for social upliftment within Africa will be associated with rising levels of obesity, which will require the initiation of targeted sex-specific intervention programmes across specific African communities en_US
dc.format.extent 8 pages en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.relation.requires PDF en_US
dc.subject BMI en_US
dc.subject SSA en_US
dc.subject Regional variation en_US
dc.subject Sex-specific variation en_US
dc.subject Obesity en_US
dc.subject CMD en_US
dc.subject.lcsh Body mass index en_US
dc.subject.lcsh Compulsive eating en_US
dc.subject.lcsh Obesity en_US
dc.title Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries : the H3Africa AWI-Gen study en_US
dc.type Article en_US

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