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Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa

BACKGROUND: Chronic stress associated with high income inequality has been hypothesized to increase CVD risk and other adverse health outcomes. However, most evidence comes from high-income countries, and there is limited evidence on the link between income inequality and biomarkers of chronic stres...

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Autores principales: Adjaye-Gbewonyo, Kafui, Kawachi, Ichiro, Subramanian, S. V., Avendano, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839065/
https://www.ncbi.nlm.nih.gov/pubmed/29510733
http://dx.doi.org/10.1186/s12939-018-0741-0
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author Adjaye-Gbewonyo, Kafui
Kawachi, Ichiro
Subramanian, S. V.
Avendano, Mauricio
author_facet Adjaye-Gbewonyo, Kafui
Kawachi, Ichiro
Subramanian, S. V.
Avendano, Mauricio
author_sort Adjaye-Gbewonyo, Kafui
collection PubMed
description BACKGROUND: Chronic stress associated with high income inequality has been hypothesized to increase CVD risk and other adverse health outcomes. However, most evidence comes from high-income countries, and there is limited evidence on the link between income inequality and biomarkers of chronic stress and risk for CVD. This study examines how changes in income inequality over recent years relate to changes in CVD risk factors in South Africa, home to some of the highest levels of income inequality globally. METHODS: We linked longitudinal data from 9356 individuals interviewed in the 2008 and 2012 National Income Dynamics Study to district-level Gini coefficients estimated from census and survey data. We investigated whether subnational district income inequality was associated with several modifiable risk factors for cardiovascular disease (CVD) in South Africa, including body mass index (BMI), waist circumference, blood pressure, physical inactivity, smoking, and high alcohol consumption. We ran individual fixed-effects models to examine the association between changes in income inequality and changes in CVD risk factors over time. Linear models were used for continuous metabolic outcomes while conditional Poisson models were used to estimate risk ratios for dichotomous behavioral outcomes. RESULTS: Both income inequality and prevalence of most CVD risk factors increased over the period of study. In longitudinal fixed-effects models, changes in district Gini coefficients were not significantly associated with changes in CVD risk factors. CONCLUSIONS: Our findings do not support the hypothesis that subnational district income inequality is associated with CVD risk factors within the high-inequality setting of South Africa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12939-018-0741-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-58390652018-03-09 Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa Adjaye-Gbewonyo, Kafui Kawachi, Ichiro Subramanian, S. V. Avendano, Mauricio Int J Equity Health Research BACKGROUND: Chronic stress associated with high income inequality has been hypothesized to increase CVD risk and other adverse health outcomes. However, most evidence comes from high-income countries, and there is limited evidence on the link between income inequality and biomarkers of chronic stress and risk for CVD. This study examines how changes in income inequality over recent years relate to changes in CVD risk factors in South Africa, home to some of the highest levels of income inequality globally. METHODS: We linked longitudinal data from 9356 individuals interviewed in the 2008 and 2012 National Income Dynamics Study to district-level Gini coefficients estimated from census and survey data. We investigated whether subnational district income inequality was associated with several modifiable risk factors for cardiovascular disease (CVD) in South Africa, including body mass index (BMI), waist circumference, blood pressure, physical inactivity, smoking, and high alcohol consumption. We ran individual fixed-effects models to examine the association between changes in income inequality and changes in CVD risk factors over time. Linear models were used for continuous metabolic outcomes while conditional Poisson models were used to estimate risk ratios for dichotomous behavioral outcomes. RESULTS: Both income inequality and prevalence of most CVD risk factors increased over the period of study. In longitudinal fixed-effects models, changes in district Gini coefficients were not significantly associated with changes in CVD risk factors. CONCLUSIONS: Our findings do not support the hypothesis that subnational district income inequality is associated with CVD risk factors within the high-inequality setting of South Africa. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12939-018-0741-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-06 /pmc/articles/PMC5839065/ /pubmed/29510733 http://dx.doi.org/10.1186/s12939-018-0741-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Adjaye-Gbewonyo, Kafui
Kawachi, Ichiro
Subramanian, S. V.
Avendano, Mauricio
Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa
title Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa
title_full Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa
title_fullStr Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa
title_full_unstemmed Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa
title_short Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa
title_sort income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from south africa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839065/
https://www.ncbi.nlm.nih.gov/pubmed/29510733
http://dx.doi.org/10.1186/s12939-018-0741-0
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