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The Impact of Informal Social Support on Older Health: Evidence from China

Objectives: To explore the impact of informal social support (ISS) on older health. Methods: Multiple regression was used as the baseline regression, grouping regression was used to examine whether there were health effect differences among groups based on age and household registration, and insuran...

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Autores principales: Tang, Daisheng, Wang, Xinyuan, Liu, Yahong, Bu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872124/
https://www.ncbi.nlm.nih.gov/pubmed/35206631
http://dx.doi.org/10.3390/ijerph19042444
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author Tang, Daisheng
Wang, Xinyuan
Liu, Yahong
Bu, Tao
author_facet Tang, Daisheng
Wang, Xinyuan
Liu, Yahong
Bu, Tao
author_sort Tang, Daisheng
collection PubMed
description Objectives: To explore the impact of informal social support (ISS) on older health. Methods: Multiple regression was used as the baseline regression, grouping regression was used to examine whether there were health effect differences among groups based on age and household registration, and insurance was selected to explore moderating effects of formal social support (FSS). Results: First, economic support, accompanied support, and number of intimate contacts had significantly positive effects on older health except for care support’s negative effects. Second, ISS had different health effects for different groups based on age and household registration. Third, FSS was a significant moderating for ISS. Conclusions: The government should emphasize and strengthen the supplementary role of ISS to FSS and promote the effective combination of the two, especially for the older who are high-age and rural, and further improve the role of care support.
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spelling pubmed-88721242022-02-25 The Impact of Informal Social Support on Older Health: Evidence from China Tang, Daisheng Wang, Xinyuan Liu, Yahong Bu, Tao Int J Environ Res Public Health Article Objectives: To explore the impact of informal social support (ISS) on older health. Methods: Multiple regression was used as the baseline regression, grouping regression was used to examine whether there were health effect differences among groups based on age and household registration, and insurance was selected to explore moderating effects of formal social support (FSS). Results: First, economic support, accompanied support, and number of intimate contacts had significantly positive effects on older health except for care support’s negative effects. Second, ISS had different health effects for different groups based on age and household registration. Third, FSS was a significant moderating for ISS. Conclusions: The government should emphasize and strengthen the supplementary role of ISS to FSS and promote the effective combination of the two, especially for the older who are high-age and rural, and further improve the role of care support. MDPI 2022-02-20 /pmc/articles/PMC8872124/ /pubmed/35206631 http://dx.doi.org/10.3390/ijerph19042444 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tang, Daisheng
Wang, Xinyuan
Liu, Yahong
Bu, Tao
The Impact of Informal Social Support on Older Health: Evidence from China
title The Impact of Informal Social Support on Older Health: Evidence from China
title_full The Impact of Informal Social Support on Older Health: Evidence from China
title_fullStr The Impact of Informal Social Support on Older Health: Evidence from China
title_full_unstemmed The Impact of Informal Social Support on Older Health: Evidence from China
title_short The Impact of Informal Social Support on Older Health: Evidence from China
title_sort impact of informal social support on older health: evidence from china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872124/
https://www.ncbi.nlm.nih.gov/pubmed/35206631
http://dx.doi.org/10.3390/ijerph19042444
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