ArticleBMC obesity2016
Measurement of overweight and obesity an urban slum setting in sub-Saharan Africa: a comparison of four anthropometric indices.
Article in BMC obesity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Magnitude of NCD Risk Factors in Ethiopia: Meta-Analysis and Systematic Review of Evidence.International journal of environmental research and public health · 2022Pooled it
- Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China.Medicine · 2018Pooled it
- Article
- Diabetes and metabolic syndrome in adults with malaria and associations with severe disease: results from two tertiary hospitals in Cameroon.BMC infectious diseases · 2025Article
- Knowledge, perceptions and practices towards diabetes risk in sub-Saharan Africa: a mixed-methods scoping review.Public health nutrition · 2024Article
- Significance and agreement between obesity anthropometric measurements and indices in adults: a population-based study from the United Arab Emirates.BMC public health · 2021Article
- Optimal cut-offs of five anthropometric indices and their predictive ability of type 2 diabetes in a nationally representative Kenyan study.AIMS public health · 2021Article
- Differential associations between psychosocial stress and obesity among Ghanaians in Europe and in Ghana: findings from the RODAM study.Social psychiatry and psychiatric epidemiology · 2020Article
- Low potassium and high sodium intakes: a double health threat to Cape Verdeans.BMC public health · 2018Article
- Body mass index and wealth index: positively correlated indicators of health and wealth inequalities in Nairobi slums.Global health, epidemiology and genomics · 2018Article
- Toileting behaviors and overactive bladder in patients with type 2 diabetes: a cross-sectional study in China.BMC urology · 2017Article
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Abstract
backgroundAs a result of both genetic and environmental factors, the body composition and topography of African populations are presumed to be different from western populations. Accordingly, globally accepted anthropometric markers may perform differently in African populations. In the era of rapid emergence of cardio-vascular diseases in sub-Saharan Africa, evidence about the performance of these markers in African settings is essential. The aim of this study was to investigate the inter-relationships among the four main anthropometric indices in measuring overweight and obesity in an urban poor African setting.
methodsData from a cardiovascular disease risk factor assessment study in urban slums of Nairobi were analyzed. In the major study, data were collected from 5190 study participants. We considered four anthropometric markers of overweight and obesity: Body Mass Index, Waist Circumference, Waist to Hip Ratio, and Waist to Height Ratio. Pairwise correlations and kappa statistics were used to assess the relationship and agreement among these markers, respectively. Discordances between the indices were also analyzed.
resultsThe weighted prevalence of above normal body composition was 21.6 % by body mass index, 28.9 % by waist circumference, 45.5 % by waist to hip ratio, and 38.9 % by waist to height ratio. The overall inter-index correlation was +0.44. Waist to hip ratio generally had lower correlation with the other anthropometric indices. High level of discordance exists between body mass index and waist to hip ratio. Combining the four indices shows that 791 (16.1 %) respondents had above normal body composition in all four indices. Waist circumference better predicted hypertension and hyperglycemia while waist to height ratio better predicted hypercholesterolemia.
conclusionsThere exists a moderate level of correlation and a remarkable level of discordance among the four anthropometric indices with regard to the ascertainment of abnormal body composition in an urban slum setting in Africa. Waist circumference is a better predictor of cardio-metabolic risk.
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