Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries: The H3Africa AWI-Gen study

References

• Stevens GA, Singh GM, Lu Y, et al. National, regional, and global trends in adult overweight and obesity prevalences. Popul Health Metr. 2012;10:90.
   Web of Science ®Google Scholar
• NCD. Risk Factor Collaboration - Africa Working Group. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies. Int J Epidemiol. 2017;46:1421–97.
   Web of Science ®Google Scholar
• Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–781.
   PubMed Web of Science ®Google Scholar
• Steyn NP, McHiza ZJ. Obesity and the nutrition transition in Sub-Saharan Africa. Ann N Y Acad Sci. 2014;1311:88–101.
   PubMed Web of Science ®Google Scholar
• Ali SA, Soo C, Agongo G, et al. Genomic and environmental risk factors for cardiometabolic diseases in Africa: methods used for Phase 1 of the AWI-Gen population cross-sectional study. Glob Health Action. 2018;11:1507133.
   PubMed Web of Science ®Google Scholar
• Ramsay M, Crowther N, Tambo E, et al. H3Africa AWI-Gen Collaborative Centre: a resource to study the interplay between genomic and environmental risk factors for cardiometabolic diseases in four sub-Saharan African countries. Glob Health Epidemiol Genom. 2016;1:e20.
   Web of Science ®Google Scholar
• Asiki G, Mohamed SF, Wambui D, et al. Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project. Glob Health Action. 2018;11:1470738.
   PubMed Web of Science ®Google Scholar
• Boua RP, Sorgho H, Rouamba T, et al. Gender differences in sociodemographic and behavioural factors associated with BMI in an adult population in rural Burkina Faso – an AWI-Gen sub-study. Glob Health Action. 2018;11:1527557.
   PubMed Web of Science ®Google Scholar
• Mashinya F, Alberts M, Cook I, et al. Determinants of body mass index by gender in the Dikgale Health and Demographic Surveillance System site, South Africa. Glob Health Action. 2018;11:1537613.
   PubMed Web of Science ®Google Scholar
• Micklesfield LK, Kagura J, Munthali R, et al. Demographic, socio-economic and behavioural correlates of BMI in middle-aged black men and women from urban Johannesburg, South Africa. Glob Health Action. 2018;11:1448250.
   PubMed Web of Science ®Google Scholar
• Nonterah EA, Debpuur C, Agongo G, et al. Socio-demographic and behavioural determinants of body mass index among an adult population in rural Northern Ghana: the AWI-Gen study. Glob Health Action. 2018;11:1467588.
   PubMed Web of Science ®Google Scholar
• Wagner RG, Crowther NJ, Gómez-Olivé FX, et al. Sociodemographic and behavioural predictors of body mass index vary by sex in rural South African adults. Glob Health Action. 2018;11:1549436.
   Web of Science ®Google Scholar
• World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i-xii, 1–253.
   Google Scholar
• World Health Organisation. Global action plan for the prevention and control of non-communicable diseases 2013-2020. Available from:  https://www.who.int?nmh/events/ncd_action_plan/en/.
   Google Scholar
• Kontis V, Mathers CD, Bonita R, et al. Regional contributions of six preventable risk factors to achieving the 25 × 25 non-communicable disease mortality reduction target: a modelling study. Lancet Glob Health. 2015;3:e746–e757.
   Web of Science ®Google Scholar
• Kontis V, Mathers CD, Rehm J, et al. Contribution of six risk factors to achieving the 25 × 25 non-communicable disease mortality reduction target: a modelling study. Lancet. 2014;384:427–437.
   PubMed Web of Science ®Google Scholar
• Pampel FC, Denney JT, Krueger PM, et al. economic development: a test of the reversal hypothesis. Soc Sci Med. 1982;74:1073–1081.
   Google Scholar
• Liangpunsakul S, Crabb DW, Qi R. Relationship among alcohol intake, body fat, and physical activity: a population-based study. Ann Epidemiol. 2010;20:670–675.
   Web of Science ®Google Scholar
• Addolorato G, Capristo E, Marini M, et al. Body composition changes induced by chronic ethanol abuse: evaluation by dual energy X-ray absorptiometry. Am J Gastroenterol. 2000;95:2323–2327.
   Web of Science ®Google Scholar
• Benkeser RM, Biritwum R, Hill AG. Prevalence of overweight and obesity and perception of healthy and desirable body size in urban, Ghanaian women. Ghana Med J. 2012;46:66–75.
   PubMedGoogle Scholar
• Singh GM, Danaei G, Farzadfar F, et al. The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis. PLoS One. 2013;8:e65174.
   PubMed Web of Science ®Google Scholar
• Whitlock G, Lewington S, Sherliker P, et al. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009;373:1083–1096.
   PubMed Web of Science ®Google Scholar
• Lewington S, Clarke R, Qizilbash N, et al. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360:1903–1913.
   PubMed Web of Science ®Google Scholar
• Lewington S, Whitlock G, Clarke R, et al. Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55,000 vascular deaths. Lancet. 2007;370:1829–1839.
   PubMed Web of Science ®Google Scholar
• Ni Mhurchu C, Rodgers A, Pan WH, et al. Body mass index and cardiovascular disease in the Asia-Pacific Region: an overview of 33 cohorts involving 310 000 participants. Int J Epidemiol. 2004;33:751–758.
   PubMed Web of Science ®Google Scholar