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An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China’s micro-database analysis as an example
BACKGROUND: Income inequality is one of the important reflections of the unbalanced development of the world economy and can have adverse effects on physical and mental health. METHODS: This article used the 2018 China Family Panel Studies Database as an empirical analysis data source. The Kakwani i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571851/ https://www.ncbi.nlm.nih.gov/pubmed/34742299 http://dx.doi.org/10.1186/s12939-021-01560-w |
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author | He, Yuanyuan Zhou, Lulin Li, Junshan Wu, Jun |
author_facet | He, Yuanyuan Zhou, Lulin Li, Junshan Wu, Jun |
author_sort | He, Yuanyuan |
collection | PubMed |
description | BACKGROUND: Income inequality is one of the important reflections of the unbalanced development of the world economy and can have adverse effects on physical and mental health. METHODS: This article used the 2018 China Family Panel Studies Database as an empirical analysis data source. The Kakwani index (KI) was used to measure income inequality, and social capital was broken into cognitive social capital and structural social capital. Our assessment was conducted by using STATA16 software for ordered logistic regression, verifying income inequality, social capital on correlation between physical and mental health firstly; then by gradual regression methods to verify intermediary effect, and demonstrate the social capital as an intermediary variable affecting physical and mental health as income inequality. RESULT: The income inequality has a significant negative effect on physical and mental health (β = − 0.964, − 0.381; OR = 0.382, 0.758; P < 0.01), Social capital has a significant effect on physical and mental health (Cognitive SC(MH): β = 0.146 and 0.104, OR = 1.157 and 1.110, P < 0.01; Cognitive SC(PH): β = 0.046 and 0.069, OR = 1.047 and 1.071, P < 0.01; Structural SC(MH): β = − 0.005, 0.025 and 0.015, OR = 0.995, 1.025 and 1.015, P > 0.1, P < 0.01 and P < 0.01; Structural SC(PH): β = − 0.026, 0.009 and − 0.013, OR = 0.975, 1.009 and 0.987, P < 0.01, P > 0.1 and P < 0.01). Our analysis also showed that social capital (cognitive social capital and structural social capital) has an intermediary effect on physical and mental health due to income inequality. CONCLUSION: This study shows that income inequality can not only directly affect physical and mental health, but also through social capital intermediary utility indirectly affect physical and mental health, social capital has positive effects on physical and mental health. At the same time, income inequality and social capital’s effects on physical and mental health exist regional differences, urban-rural differences, and gender differences. Therefore, in the development of special policies to support and take care of vulnerable groups, special attention needs to be paid to poor rural areas and female groups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01560-w. |
format | Online Article Text |
id | pubmed-8571851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85718512021-11-08 An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China’s micro-database analysis as an example He, Yuanyuan Zhou, Lulin Li, Junshan Wu, Jun Int J Equity Health Research BACKGROUND: Income inequality is one of the important reflections of the unbalanced development of the world economy and can have adverse effects on physical and mental health. METHODS: This article used the 2018 China Family Panel Studies Database as an empirical analysis data source. The Kakwani index (KI) was used to measure income inequality, and social capital was broken into cognitive social capital and structural social capital. Our assessment was conducted by using STATA16 software for ordered logistic regression, verifying income inequality, social capital on correlation between physical and mental health firstly; then by gradual regression methods to verify intermediary effect, and demonstrate the social capital as an intermediary variable affecting physical and mental health as income inequality. RESULT: The income inequality has a significant negative effect on physical and mental health (β = − 0.964, − 0.381; OR = 0.382, 0.758; P < 0.01), Social capital has a significant effect on physical and mental health (Cognitive SC(MH): β = 0.146 and 0.104, OR = 1.157 and 1.110, P < 0.01; Cognitive SC(PH): β = 0.046 and 0.069, OR = 1.047 and 1.071, P < 0.01; Structural SC(MH): β = − 0.005, 0.025 and 0.015, OR = 0.995, 1.025 and 1.015, P > 0.1, P < 0.01 and P < 0.01; Structural SC(PH): β = − 0.026, 0.009 and − 0.013, OR = 0.975, 1.009 and 0.987, P < 0.01, P > 0.1 and P < 0.01). Our analysis also showed that social capital (cognitive social capital and structural social capital) has an intermediary effect on physical and mental health due to income inequality. CONCLUSION: This study shows that income inequality can not only directly affect physical and mental health, but also through social capital intermediary utility indirectly affect physical and mental health, social capital has positive effects on physical and mental health. At the same time, income inequality and social capital’s effects on physical and mental health exist regional differences, urban-rural differences, and gender differences. Therefore, in the development of special policies to support and take care of vulnerable groups, special attention needs to be paid to poor rural areas and female groups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01560-w. BioMed Central 2021-11-06 /pmc/articles/PMC8571851/ /pubmed/34742299 http://dx.doi.org/10.1186/s12939-021-01560-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research He, Yuanyuan Zhou, Lulin Li, Junshan Wu, Jun An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China’s micro-database analysis as an example |
title | An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China’s micro-database analysis as an example |
title_full | An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China’s micro-database analysis as an example |
title_fullStr | An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China’s micro-database analysis as an example |
title_full_unstemmed | An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China’s micro-database analysis as an example |
title_short | An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China’s micro-database analysis as an example |
title_sort | empirical analysis of the impact of income inequality and social capital on physical and mental health - take china’s micro-database analysis as an example |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571851/ https://www.ncbi.nlm.nih.gov/pubmed/34742299 http://dx.doi.org/10.1186/s12939-021-01560-w |
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