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The role of socio-economic inequality in the prevalence of hypertension in adults
Introduction: The large portion of burden of diseases, especially in the developing countries is attributed to hypertension. Identification of the potential risk factors of hypertension is essential for disease management. In this study we investigated the role of socio-economic inequality in the pr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tabriz University of Medical Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669432/ https://www.ncbi.nlm.nih.gov/pubmed/31384405 http://dx.doi.org/10.15171/jcvtr.2019.20 |
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author | Veisani, Yousef Jenabi, Ensiyeh Nematollahi, Shahrzad Delpisheh, Ali Khazaei, Salman |
author_facet | Veisani, Yousef Jenabi, Ensiyeh Nematollahi, Shahrzad Delpisheh, Ali Khazaei, Salman |
author_sort | Veisani, Yousef |
collection | PubMed |
description | Introduction: The large portion of burden of diseases, especially in the developing countries is attributed to hypertension. Identification of the potential risk factors of hypertension is essential for disease management. In this study we investigated the role of socio-economic inequality in the prevalence of hypertension in Ilam Province. Methods: Totally, 690 individuals aged over 15 were enrolled in this cross-sectional study, through systematic random sampling from March 1 to October 30, 2017. Socio-economic status (SES) score was calculated by 7 variables including; age, sex, job, marital status, educational level, and economic status, residency, then, it was divided to five levels. Concentration index was used to estimate the inequality in hypertension. To estimate the percentage contribution in final step elasticity divided to concentration index for each contributor and contributions to inequality is estimated. Results: The concentration index for hypertension was -0.154 95% CI (-0.02, -0.23), therefore hypertension was more prevalent in lower socioeconomic groups. The important socioeconomic contributors in inequality were job (P=0.008), educational level (P=0.005), and SES (P=0.003). According to concentration index decomposition, the main sources of inequality in hypertension were job (15%), educational level (18%), and SES (21%), respectively. Conclusion: Hypertension is more prevalent in lower SES groups and the job, education, and SES are important contributory factors of inequality. One substantial key point to achieve an effectiveness approach to deal with chronic diseases might be building partnership with disadvantaged populations. |
format | Online Article Text |
id | pubmed-6669432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Tabriz University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-66694322019-08-05 The role of socio-economic inequality in the prevalence of hypertension in adults Veisani, Yousef Jenabi, Ensiyeh Nematollahi, Shahrzad Delpisheh, Ali Khazaei, Salman J Cardiovasc Thorac Res Original Article Introduction: The large portion of burden of diseases, especially in the developing countries is attributed to hypertension. Identification of the potential risk factors of hypertension is essential for disease management. In this study we investigated the role of socio-economic inequality in the prevalence of hypertension in Ilam Province. Methods: Totally, 690 individuals aged over 15 were enrolled in this cross-sectional study, through systematic random sampling from March 1 to October 30, 2017. Socio-economic status (SES) score was calculated by 7 variables including; age, sex, job, marital status, educational level, and economic status, residency, then, it was divided to five levels. Concentration index was used to estimate the inequality in hypertension. To estimate the percentage contribution in final step elasticity divided to concentration index for each contributor and contributions to inequality is estimated. Results: The concentration index for hypertension was -0.154 95% CI (-0.02, -0.23), therefore hypertension was more prevalent in lower socioeconomic groups. The important socioeconomic contributors in inequality were job (P=0.008), educational level (P=0.005), and SES (P=0.003). According to concentration index decomposition, the main sources of inequality in hypertension were job (15%), educational level (18%), and SES (21%), respectively. Conclusion: Hypertension is more prevalent in lower SES groups and the job, education, and SES are important contributory factors of inequality. One substantial key point to achieve an effectiveness approach to deal with chronic diseases might be building partnership with disadvantaged populations. Tabriz University of Medical Sciences 2019 2019-06-30 /pmc/articles/PMC6669432/ /pubmed/31384405 http://dx.doi.org/10.15171/jcvtr.2019.20 Text en © 2019 The Author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Veisani, Yousef Jenabi, Ensiyeh Nematollahi, Shahrzad Delpisheh, Ali Khazaei, Salman The role of socio-economic inequality in the prevalence of hypertension in adults |
title | The role of socio-economic inequality in the prevalence of hypertension in adults |
title_full | The role of socio-economic inequality in the prevalence of hypertension in adults |
title_fullStr | The role of socio-economic inequality in the prevalence of hypertension in adults |
title_full_unstemmed | The role of socio-economic inequality in the prevalence of hypertension in adults |
title_short | The role of socio-economic inequality in the prevalence of hypertension in adults |
title_sort | role of socio-economic inequality in the prevalence of hypertension in adults |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669432/ https://www.ncbi.nlm.nih.gov/pubmed/31384405 http://dx.doi.org/10.15171/jcvtr.2019.20 |
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