Comparison of the ability of anthropometric indices to predict the risk of Diabetes Mellitus in South African males: SANHANES-1

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dc.date.accessioned 2022-04-01T05:17:43Z
dc.date.available 2022-04-01T05:17:43Z
dc.date.issued 2022-03-22 en
dc.identifier.uri http://hdl.handle.net/20.500.11910/19294
dc.description.abstract This study aimed to assess the sensitivity of body mass index (BMI) to predict the risk of diabetes mellitus (DM) and whether waist circumference (WC), waist-to-hip (WHR) and waist-to height (WHtR) ratios are better predictors of the risk of DM than BMI in South African men aged 20 years and older. Data from the first South African National Health and Nutrition Examination Survey (SANHANES-1) were used. Overall, 1405 men who had valid HbA1c outcomes were included. The sensitivity, specificity, and optimal cut-off points for predicting DM were determined using the receiver operating characteristic (ROC) curve analysis. A total of 34.6% percent of the study participants were overweight/obese, while 10.5%, 10.4%, 36.6% and 61.0% had HbA1c, WC, WHR and WHtR above the normal reference ranges, respectively. Based on age-adjusted logistic regression analysis, the highest likelihood of DM was observed for those participants who had increased WC and WHtR (odds ratios [OR] were 6.285 (95% CI: 4.136-9.550; p < 0.001) and 8.108 (95% CI:3.721-17.667; p < 0.001)). The ROC curve analyses for WC, WHR, and WHtR displayed excellent ability to predict the risk of DM, with their areas under the curve (AUC) being 80.4%, 80.2% and 80.8%, respectively. The overall cut-off points to predict the risk of DM for WC, WHR, and WHtR were 88.95 cm, 0.92, and >0.54, respectively. The ROC analysis for BMI, on the other hand, showed acceptable ability to predict the risk of DM (AUC = 75.6%), with its cut-off point being 24.64 kg/m2. Even after stratifying the data by two age groups, WHtR remained a superior index to predict DM, especially in the younger age group. To conclude, no significant differences were observed between the AUC for BMI the AUCs for other indices. However, the AUCs for these indices showed significant excellent ability as opposed to the significant acceptable ability of BMI to predict DM in adult South African men. en
dc.format.medium Print en
dc.publisher Earthscan en
dc.subject DIABETES en
dc.subject BODY MASS INDEX (BMI) en
dc.subject SOUTH AFRICA en
dc.subject WEIGHT MANAGEMENT en
dc.title Comparison of the ability of anthropometric indices to predict the risk of Diabetes Mellitus in South African males: SANHANES-1 en
dc.type Journal Article en
dc.description.version Y en
dc.ProjectNumber NA en
dc.Volume 19 en
dc.BudgetYear 2021/22 en
dc.ResearchGroup Human and Social Capabilities en
dc.SourceTitle International Journal of Environmental Research and Public Health en
dc.ArchiveNumber 9812226 en
dc.PageNumber 1-16 en
dc.outputnumber 13733 en
dc.bibliographictitle Sekgala, M.D., Sewpaul, R., Opperman, M. & Mchiza, Z.J. (2022) Comparison of the ability of anthropometric indices to predict the risk of Diabetes Mellitus in South African males: SANHANES-1. International Journal of Environmental Research and Public Health. 19:1-16. en
dc.publicationyear 2022 en
dc.contributor.author1 Sekgala, M.D. en
dc.contributor.author2 Sewpaul, R. en
dc.contributor.author3 Opperman, M. en
dc.contributor.author4 Mchiza, Z.J. en


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