Lifestyle and socio-economic inequalities in diabetes prevalence in South Africa: A decomposition analysis

Chipo Mutyambizi, Frederik Booysen, Andrew Stokes, Milena Pavlova and Wim Groot

PLOS ONE, 2019, vol. 14, issue 1, 1-21

Abstract: Background: Inequalities in diabetes are widespread and are exacerbated by differences in lifestyle. Many studies that have estimated inequalities in diabetes make use of self-reported diabetes which is often biased by differences in access to health care and diabetes awareness. This study adds to this literature by making use of a more objective standardised measure of diabetes in South Africa. The study estimates socio-economic inequalities in undiagnosed diabetes, diagnosed diabetes (self-reported), as well as total diabetes (undiagnosed diabetics + diagnosed diabetics). The study also examines the contribution of lifestyle factors to diabetes inequalities in South Africa. Methods: This cross sectional study uses data from the 2012 South African National Health and Nutrition Examination Survey (SANHANES-1) and applies the Erreygers Concentration Indices to assess socio-economic inequalities in diabetes. Contributions of lifestyle factors to inequalities in diabetes are assessed using a decomposition method. Results: Self-reported diabetes and total diabetes (undiagnosed diabetics + diagnosed diabetics) were significantly concentrated amongst the rich (CI = 0.0746; p

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0211208

DOI: 10.1371/journal.pone.0211208

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