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Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach

BACKGROUND: Epidemiological research has long observed a varying prevalence of hypertension across socioeconomic strata. However, patterns of association and underlying causal mechanisms are poorly understood in sub-Saharan Africa. Using education and income as indicators, we investigated the extent...

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Autores principales: Cois, Annibale, Ehrlich, Rodney
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021547/
https://www.ncbi.nlm.nih.gov/pubmed/24885860
http://dx.doi.org/10.1186/1471-2458-14-414
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author Cois, Annibale
Ehrlich, Rodney
author_facet Cois, Annibale
Ehrlich, Rodney
author_sort Cois, Annibale
collection PubMed
description BACKGROUND: Epidemiological research has long observed a varying prevalence of hypertension across socioeconomic strata. However, patterns of association and underlying causal mechanisms are poorly understood in sub-Saharan Africa. Using education and income as indicators, we investigated the extent to which socioeconomic status is linked to blood pressure in the first wave of the National Income Dynamics Study — a South African longitudinal study of more than 15000 adults – and whether bio-behavioural risk factors mediate the association. METHODS: In a cross-sectional analysis, structural equation modelling was employed to estimate the effect of socioeconomic status on systolic and diastolic blood pressure and to assess the role of a set of bio-behavioural risk factors in explaining the observed relationships. RESULTS: After adjustment for age, race and antihypertensive treatment, higher education and income were independently associated with higher diastolic blood pressure in men. In women higher education predicted lower values of both diastolic and systolic blood pressure while higher income predicted lower systolic blood pressure. In both genders, body mass index was a strong mediator of an adverse indirect effect of socioeconomic status on blood pressure. Together with physical exercise, alcohol use, smoking and resting heart rate, body mass index therefore contributed substantially to mediation of the observed relationships in men. By contrast, in women unmeasured factors played a greater role. CONCLUSION: In countries undergoing epidemiological transition, effects of socioeconomic status on blood pressure may vary by gender. In women, factors other than those listed above may have substantial role in mediating the association and merit investigation.
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spelling pubmed-40215472014-05-16 Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach Cois, Annibale Ehrlich, Rodney BMC Public Health Research Article BACKGROUND: Epidemiological research has long observed a varying prevalence of hypertension across socioeconomic strata. However, patterns of association and underlying causal mechanisms are poorly understood in sub-Saharan Africa. Using education and income as indicators, we investigated the extent to which socioeconomic status is linked to blood pressure in the first wave of the National Income Dynamics Study — a South African longitudinal study of more than 15000 adults – and whether bio-behavioural risk factors mediate the association. METHODS: In a cross-sectional analysis, structural equation modelling was employed to estimate the effect of socioeconomic status on systolic and diastolic blood pressure and to assess the role of a set of bio-behavioural risk factors in explaining the observed relationships. RESULTS: After adjustment for age, race and antihypertensive treatment, higher education and income were independently associated with higher diastolic blood pressure in men. In women higher education predicted lower values of both diastolic and systolic blood pressure while higher income predicted lower systolic blood pressure. In both genders, body mass index was a strong mediator of an adverse indirect effect of socioeconomic status on blood pressure. Together with physical exercise, alcohol use, smoking and resting heart rate, body mass index therefore contributed substantially to mediation of the observed relationships in men. By contrast, in women unmeasured factors played a greater role. CONCLUSION: In countries undergoing epidemiological transition, effects of socioeconomic status on blood pressure may vary by gender. In women, factors other than those listed above may have substantial role in mediating the association and merit investigation. BioMed Central 2014-05-01 /pmc/articles/PMC4021547/ /pubmed/24885860 http://dx.doi.org/10.1186/1471-2458-14-414 Text en Copyright © 2014 Cois and Ehrlich; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Article
Cois, Annibale
Ehrlich, Rodney
Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach
title Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach
title_full Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach
title_fullStr Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach
title_full_unstemmed Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach
title_short Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach
title_sort analysing the socioeconomic determinants of hypertension in south africa: a structural equation modelling approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021547/
https://www.ncbi.nlm.nih.gov/pubmed/24885860
http://dx.doi.org/10.1186/1471-2458-14-414
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