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

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dc.date.accessioned 2019-08-19T12:40:19Z
dc.date.available 2019-08-19T12:40:19Z
dc.date.issued 2019-02-21 en
dc.identifier.uri http://hdl.handle.net/20.500.11910/13431
dc.description.abstract 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. 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. Self-reported diabetes and total diabetes (undiagnosed diabetics + diagnosed diabetics) were significantly concentrated amongst the rich (CI = 0.0746; p < 0.05 and CI = 0.0859; p < 0.05). The concentration index for undiagnosed diabetes was insignificant but pro-poor. The decomposition showed that lifestyle factors contributed 22% and 35% to socioeconomic inequalities in self-reported and total diabetes, respectively. Diabetes in South Africa is more concentrated amongst higher socio-economic groups when measured using self-reported diabetes or clinical data. Our findings also show that the extent of inequality is worse in the total diabetes outcome (undiagnosed diabetics + diagnosed diabetics) when compared to the self-reported diabetes outcome. Although in comparison to other determinants, the contribution of lifestyle factors was modest, these contributions are important in the development of policies that address socio-economic inequalities in the prevalence of diabetes. en
dc.format.medium Print en
dc.subject LIFESTYLE en
dc.subject SOCIO-ECONOMIC INEQUALITIES en
dc.subject DIABETES en
dc.title Lifestyle and socio-economic inequalities in diabetes prevalence in South Africa: a decomposition analysis en
dc.type Journal Article en
dc.description.version Y en
dc.ProjectNumber N/A en
dc.Volume January en
dc.BudgetYear 2018/19 en
dc.ResearchGroup Population Health, Health Systems and Innovation en
dc.SourceTitle PLoS One en
dc.ArchiveNumber 10717 en
dc.URL http://ktree.hsrc.ac.za/doc_read_all.php?docid=20945 en
dc.PageNumber Online en
dc.outputnumber 9749 en
dc.bibliographictitle Mutyambizi, C., Booysen, F., Stokes, A., Pavlova, M. & Groot, W. (2019) Lifestyle and socio-economic inequalities in diabetes prevalence in South Africa: a decomposition analysis. <i>PLoS One</i>. January:Online. en
dc.publicationyear 2019 en
dc.contributor.author1 Mutyambizi, C. en
dc.contributor.author2 Booysen, F. en
dc.contributor.author3 Stokes, A. en
dc.contributor.author4 Pavlova, M. en
dc.contributor.author5 Groot, W. en


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