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Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency

BACKGROUND: Although the health of the floating elderly population is an important part of active and healthy ageing, it is neglected in current Chinese society. Based on the general consensus that social interaction can affect the health of the floating population, this study explored whether the i...

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Autores principales: Xing, Yiqing, Zhang, Liang, Zhang, Yuelu, He, Ruibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580520/
https://www.ncbi.nlm.nih.gov/pubmed/37845627
http://dx.doi.org/10.1186/s12877-023-04386-z
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author Xing, Yiqing
Zhang, Liang
Zhang, Yuelu
He, Ruibo
author_facet Xing, Yiqing
Zhang, Liang
Zhang, Yuelu
He, Ruibo
author_sort Xing, Yiqing
collection PubMed
description BACKGROUND: Although the health of the floating elderly population is an important part of active and healthy ageing, it is neglected in current Chinese society. Based on the general consensus that social interaction can affect the health of the floating population, this study explored whether the interaction type, mode and frequency influenced the health of the floating elderly population in China and investigated the variability of these influential effects. METHODS: This study used the China Migrant Population Dynamic Survey Data 2017 and selected 5239 floating elderly individuals over 60 years old. Self-rated health was used to assess the comprehensive health status of respondents. Social interaction was measured by the interaction type, mode and frequency. Descriptive statistical analysis was used to analyse the health and social interaction status. An ordinal probit model was used to estimate the influential effects and differences on health caused by social interaction. The 2SLS model was used to examine the mutual causality relationship between interaction frequency and health, and a robustness test was conducted. RESULTS: A total of 44.6% interacted with local residents, 14.2% participated in interaction activities based on geographical relations, and only 4.3% and 7% participated in interactions based on business and interest, respectively. Interacting with natives improved individuals’ self-rated health by 18.5%; specifically, geographical interaction increased self-rated health by 40.9%, occupational interaction increased it by 25.2%, interest-based interaction increased it by 41.2%, and interaction frequency improved the self-rated health (β = 0.128). In addition, sex, education level, personal income, and floating into the eastern region had a positive effect on individuals’ health. However, age, spouse and hukou exerted a negative effect. CONCLUSIONS: This study demonstrated that interacting with local residents could improve the health of floating elderly population, and revealed that interest-based interaction and their frequency had a positive impact on health. The government should speed up the construction of the voluntary service system and encourage the floating elderly population to realize their personal value in social interaction. In addition, the reform of the hukou system should be further promoted, so as to remove institutional barriers to the social interaction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04386-z.
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spelling pubmed-105805202023-10-18 Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency Xing, Yiqing Zhang, Liang Zhang, Yuelu He, Ruibo BMC Geriatr Research BACKGROUND: Although the health of the floating elderly population is an important part of active and healthy ageing, it is neglected in current Chinese society. Based on the general consensus that social interaction can affect the health of the floating population, this study explored whether the interaction type, mode and frequency influenced the health of the floating elderly population in China and investigated the variability of these influential effects. METHODS: This study used the China Migrant Population Dynamic Survey Data 2017 and selected 5239 floating elderly individuals over 60 years old. Self-rated health was used to assess the comprehensive health status of respondents. Social interaction was measured by the interaction type, mode and frequency. Descriptive statistical analysis was used to analyse the health and social interaction status. An ordinal probit model was used to estimate the influential effects and differences on health caused by social interaction. The 2SLS model was used to examine the mutual causality relationship between interaction frequency and health, and a robustness test was conducted. RESULTS: A total of 44.6% interacted with local residents, 14.2% participated in interaction activities based on geographical relations, and only 4.3% and 7% participated in interactions based on business and interest, respectively. Interacting with natives improved individuals’ self-rated health by 18.5%; specifically, geographical interaction increased self-rated health by 40.9%, occupational interaction increased it by 25.2%, interest-based interaction increased it by 41.2%, and interaction frequency improved the self-rated health (β = 0.128). In addition, sex, education level, personal income, and floating into the eastern region had a positive effect on individuals’ health. However, age, spouse and hukou exerted a negative effect. CONCLUSIONS: This study demonstrated that interacting with local residents could improve the health of floating elderly population, and revealed that interest-based interaction and their frequency had a positive impact on health. The government should speed up the construction of the voluntary service system and encourage the floating elderly population to realize their personal value in social interaction. In addition, the reform of the hukou system should be further promoted, so as to remove institutional barriers to the social interaction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04386-z. BioMed Central 2023-10-16 /pmc/articles/PMC10580520/ /pubmed/37845627 http://dx.doi.org/10.1186/s12877-023-04386-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Xing, Yiqing
Zhang, Liang
Zhang, Yuelu
He, Ruibo
Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency
title Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency
title_full Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency
title_fullStr Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency
title_full_unstemmed Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency
title_short Relationship between social interaction and health of the floating elderly population in China: an analysis based on interaction type, mode and frequency
title_sort relationship between social interaction and health of the floating elderly population in china: an analysis based on interaction type, mode and frequency
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580520/
https://www.ncbi.nlm.nih.gov/pubmed/37845627
http://dx.doi.org/10.1186/s12877-023-04386-z
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