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Effects of social assistance on self-rated health

Based on the China Health and Retirement Longitudinal Study (CHARLS) data in 2018, medical assistance and life assistance have significant negative influences on self-rated health, found via an empirical analysis based on the Oprobit model. Such negative influences are robust based on the substituti...

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Detalles Bibliográficos
Autores principales: Shao, Siqi, Che, Tiantian, Zhou, Deshui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632987/
https://www.ncbi.nlm.nih.gov/pubmed/36339138
http://dx.doi.org/10.3389/fpubh.2022.918323
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author Shao, Siqi
Che, Tiantian
Zhou, Deshui
author_facet Shao, Siqi
Che, Tiantian
Zhou, Deshui
author_sort Shao, Siqi
collection PubMed
description Based on the China Health and Retirement Longitudinal Study (CHARLS) data in 2018, medical assistance and life assistance have significant negative influences on self-rated health, found via an empirical analysis based on the Oprobit model. Such negative influences are robust based on the substitution of explained variables and propensity score matching. It can be found from a heterogeneity analysis that the negative influences of medical assistance on self-rated health are more significant in urban residents and residents in Central China and East China. Meanwhile, negative influences of life assistance on self-rated health are more significant in urban residents, and residents in Central China, East China, and Northeast China. This study provides empirical evidence to improve the health of residents by using medical assistance and life assistance accurately and offers important policy enlightenments to formulate appropriate social assistance policies.
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spelling pubmed-96329872022-11-04 Effects of social assistance on self-rated health Shao, Siqi Che, Tiantian Zhou, Deshui Front Public Health Public Health Based on the China Health and Retirement Longitudinal Study (CHARLS) data in 2018, medical assistance and life assistance have significant negative influences on self-rated health, found via an empirical analysis based on the Oprobit model. Such negative influences are robust based on the substitution of explained variables and propensity score matching. It can be found from a heterogeneity analysis that the negative influences of medical assistance on self-rated health are more significant in urban residents and residents in Central China and East China. Meanwhile, negative influences of life assistance on self-rated health are more significant in urban residents, and residents in Central China, East China, and Northeast China. This study provides empirical evidence to improve the health of residents by using medical assistance and life assistance accurately and offers important policy enlightenments to formulate appropriate social assistance policies. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9632987/ /pubmed/36339138 http://dx.doi.org/10.3389/fpubh.2022.918323 Text en Copyright © 2022 Shao, Che and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Shao, Siqi
Che, Tiantian
Zhou, Deshui
Effects of social assistance on self-rated health
title Effects of social assistance on self-rated health
title_full Effects of social assistance on self-rated health
title_fullStr Effects of social assistance on self-rated health
title_full_unstemmed Effects of social assistance on self-rated health
title_short Effects of social assistance on self-rated health
title_sort effects of social assistance on self-rated health
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632987/
https://www.ncbi.nlm.nih.gov/pubmed/36339138
http://dx.doi.org/10.3389/fpubh.2022.918323
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