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Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach

BACKGROUND: In recent decades, China has experienced tremendous economic growth and also witnessed growing socioeconomic-related health inequality. The study aims to explore the potential causes of socioeconomic-related health inequality in urban and rural areas of China over the past two decades. M...

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Autores principales: Cai, Jiaoli, Coyte, Peter C., Zhao, Hongzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516311/
https://www.ncbi.nlm.nih.gov/pubmed/28720105
http://dx.doi.org/10.1186/s12939-017-0624-9
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author Cai, Jiaoli
Coyte, Peter C.
Zhao, Hongzhong
author_facet Cai, Jiaoli
Coyte, Peter C.
Zhao, Hongzhong
author_sort Cai, Jiaoli
collection PubMed
description BACKGROUND: In recent decades, China has experienced tremendous economic growth and also witnessed growing socioeconomic-related health inequality. The study aims to explore the potential causes of socioeconomic-related health inequality in urban and rural areas of China over the past two decades. METHODS: This study used six waves of the China Health and Nutrition Survey (CHNS) from 1991 to 2006. The recentered influence function (RIF) regression decomposition method was employed to decompose socioeconomic-related health inequality in China. Health status was derived from self-rated health (SRH) scores. The analyses were conducted on urban and rural samples separately. RESULTS: We found that the average level of health status declined from 1989 to 2006 for both urban and rural populations. Average health scores were greater for the rural population compared with those for the urban population. We also found that there exists pro-rich health inequality in China. While income and secondary education were the main factors to reduce health inequality, older people, unhealthy lifestyles and a poor home environment increased inequality. Health insurance had the opposite effects on health inequality for urban and rural populations, resulting in lower inequality for urban populations and higher inequality for their rural counterparts. CONCLUSION: These findings suggest that an effective way to reduce socioeconomic-related health inequality is not only to increase income and improve access to health care services, but also to focus on improvements in the lifestyles and the home environment. Specifically, for rural populations, it is particularly important to improve the design of health insurance and implement a more comprehensive insurance package that can effectively target the rural poor. Moreover, it is necessary to comprehensively promote the flush toilets and tap water in rural areas. For urban populations, in addition to promoting universal secondary education, healthy lifestyles should be promoted, including measures such as alcohol control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12939-017-0624-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-55163112017-07-20 Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach Cai, Jiaoli Coyte, Peter C. Zhao, Hongzhong Int J Equity Health Research BACKGROUND: In recent decades, China has experienced tremendous economic growth and also witnessed growing socioeconomic-related health inequality. The study aims to explore the potential causes of socioeconomic-related health inequality in urban and rural areas of China over the past two decades. METHODS: This study used six waves of the China Health and Nutrition Survey (CHNS) from 1991 to 2006. The recentered influence function (RIF) regression decomposition method was employed to decompose socioeconomic-related health inequality in China. Health status was derived from self-rated health (SRH) scores. The analyses were conducted on urban and rural samples separately. RESULTS: We found that the average level of health status declined from 1989 to 2006 for both urban and rural populations. Average health scores were greater for the rural population compared with those for the urban population. We also found that there exists pro-rich health inequality in China. While income and secondary education were the main factors to reduce health inequality, older people, unhealthy lifestyles and a poor home environment increased inequality. Health insurance had the opposite effects on health inequality for urban and rural populations, resulting in lower inequality for urban populations and higher inequality for their rural counterparts. CONCLUSION: These findings suggest that an effective way to reduce socioeconomic-related health inequality is not only to increase income and improve access to health care services, but also to focus on improvements in the lifestyles and the home environment. Specifically, for rural populations, it is particularly important to improve the design of health insurance and implement a more comprehensive insurance package that can effectively target the rural poor. Moreover, it is necessary to comprehensively promote the flush toilets and tap water in rural areas. For urban populations, in addition to promoting universal secondary education, healthy lifestyles should be promoted, including measures such as alcohol control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12939-017-0624-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-18 /pmc/articles/PMC5516311/ /pubmed/28720105 http://dx.doi.org/10.1186/s12939-017-0624-9 Text en © The Author(s). 2017 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
Cai, Jiaoli
Coyte, Peter C.
Zhao, Hongzhong
Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach
title Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach
title_full Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach
title_fullStr Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach
title_full_unstemmed Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach
title_short Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach
title_sort decomposing the causes of socioeconomic-related health inequality among urban and rural populations in china: a new decomposition approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516311/
https://www.ncbi.nlm.nih.gov/pubmed/28720105
http://dx.doi.org/10.1186/s12939-017-0624-9
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