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Subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for South Africa
BACKGROUND: Inequalities in mental health are a notable and well documented policy concern in many countries, including South Africa. Individuals’ perception of their position in the social hierarchy is strongly and negatively related to their mental health, whilst the global burden of poor mental h...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567634/ https://www.ncbi.nlm.nih.gov/pubmed/31196102 http://dx.doi.org/10.1186/s12939-019-0996-0 |
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author | Mutyambizi, Chipo Booysen, Frederik Stornes, Per Eikemo, Terje A. |
author_facet | Mutyambizi, Chipo Booysen, Frederik Stornes, Per Eikemo, Terje A. |
author_sort | Mutyambizi, Chipo |
collection | PubMed |
description | BACKGROUND: Inequalities in mental health are a notable and well documented policy concern in many countries, including South Africa. Individuals’ perception of their position in the social hierarchy is strongly and negatively related to their mental health, whilst the global burden of poor mental health is greater amongst women. This paper offers a first glimpse of the factors that shape gender-based health inequalities across subjective social status. METHODS: This study employs the cross-sectional 2014 South African Social Attitudes Survey (SASAS). The prevalence of depressive symptoms is measured with the aid of the CES-D 8-item scale, with analyses disaggregated by gender. Concentration indices (CI) are used to measure inequalities in depressive symptoms related to subjective social status. The study applies the Wagstaff decomposition to determine the factors that contribute to these gender-based inequalities. RESULTS: More than 26% of the study sample had depressive symptoms (95% CI 24.92–28.07). The prevalence of depressive symptoms is significantly more pronounced in females (28.46% versus 24.38%; p = 0.011). The concentration index for depressive symptoms is − 0.276 (95% CI -0.341 – − 0.211), showing large inequalities across subjective social status. The observed SSS-related inequality in depressive symptoms however is higher for males (CI = -0.304) when compared to females (CI = -0.240) (p = 0.056). The most important contributor to SSS-related inequalities in depressive symptoms, at 61%, is subjective social status itself (contributing 82% in females versus 44% in males). Other variables that make large contributions to the inequalities in depressive symptoms at 11% each are race (contributing 2% in females versus 25% in males) and childhood conflict (contributing 17% in females versus 4% in males). CONCLUSION: Policy makers should target a reduction in the positive contribution of SSS to depression via the implementation of programmes that improve social welfare. Given the much greater contribution to inequalities among females, these policies should target women. Policies that protect children and especially the girl child from conflict can also be useful in reducing inequalities in depression related to subjective social status during adulthood. Overall, there is need for a multi-sectoral approach to address these inequalities. |
format | Online Article Text |
id | pubmed-6567634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65676342019-06-27 Subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for South Africa Mutyambizi, Chipo Booysen, Frederik Stornes, Per Eikemo, Terje A. Int J Equity Health Research BACKGROUND: Inequalities in mental health are a notable and well documented policy concern in many countries, including South Africa. Individuals’ perception of their position in the social hierarchy is strongly and negatively related to their mental health, whilst the global burden of poor mental health is greater amongst women. This paper offers a first glimpse of the factors that shape gender-based health inequalities across subjective social status. METHODS: This study employs the cross-sectional 2014 South African Social Attitudes Survey (SASAS). The prevalence of depressive symptoms is measured with the aid of the CES-D 8-item scale, with analyses disaggregated by gender. Concentration indices (CI) are used to measure inequalities in depressive symptoms related to subjective social status. The study applies the Wagstaff decomposition to determine the factors that contribute to these gender-based inequalities. RESULTS: More than 26% of the study sample had depressive symptoms (95% CI 24.92–28.07). The prevalence of depressive symptoms is significantly more pronounced in females (28.46% versus 24.38%; p = 0.011). The concentration index for depressive symptoms is − 0.276 (95% CI -0.341 – − 0.211), showing large inequalities across subjective social status. The observed SSS-related inequality in depressive symptoms however is higher for males (CI = -0.304) when compared to females (CI = -0.240) (p = 0.056). The most important contributor to SSS-related inequalities in depressive symptoms, at 61%, is subjective social status itself (contributing 82% in females versus 44% in males). Other variables that make large contributions to the inequalities in depressive symptoms at 11% each are race (contributing 2% in females versus 25% in males) and childhood conflict (contributing 17% in females versus 4% in males). CONCLUSION: Policy makers should target a reduction in the positive contribution of SSS to depression via the implementation of programmes that improve social welfare. Given the much greater contribution to inequalities among females, these policies should target women. Policies that protect children and especially the girl child from conflict can also be useful in reducing inequalities in depression related to subjective social status during adulthood. Overall, there is need for a multi-sectoral approach to address these inequalities. BioMed Central 2019-06-13 /pmc/articles/PMC6567634/ /pubmed/31196102 http://dx.doi.org/10.1186/s12939-019-0996-0 Text en © The Author(s). 2019 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 Mutyambizi, Chipo Booysen, Frederik Stornes, Per Eikemo, Terje A. Subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for South Africa |
title | Subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for South Africa |
title_full | Subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for South Africa |
title_fullStr | Subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for South Africa |
title_full_unstemmed | Subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for South Africa |
title_short | Subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for South Africa |
title_sort | subjective social status and inequalities in depressive symptoms: a gender-specific decomposition analysis for south africa |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567634/ https://www.ncbi.nlm.nih.gov/pubmed/31196102 http://dx.doi.org/10.1186/s12939-019-0996-0 |
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