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Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model

BACKGROUND: As China’s aging trend intensifies and the proportion of empty nests increases, the health-related quality of life of the elderly is the focus of social attention. Previous studies focused on the quality of life of the elderly, rather than empty nesters, and lacked the discussion of the...

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Autores principales: Zhang, Chichen, Cai, Yuan, Xue, Yaqing, Zheng, Xiao, Yang, Xiaozhao, Lu, Jiao, Hou, Lihong, Li, Mimi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161619/
https://www.ncbi.nlm.nih.gov/pubmed/34049560
http://dx.doi.org/10.1186/s12955-021-01793-x
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author Zhang, Chichen
Cai, Yuan
Xue, Yaqing
Zheng, Xiao
Yang, Xiaozhao
Lu, Jiao
Hou, Lihong
Li, Mimi
author_facet Zhang, Chichen
Cai, Yuan
Xue, Yaqing
Zheng, Xiao
Yang, Xiaozhao
Lu, Jiao
Hou, Lihong
Li, Mimi
author_sort Zhang, Chichen
collection PubMed
description BACKGROUND: As China’s aging trend intensifies and the proportion of empty nests increases, the health-related quality of life of the elderly is the focus of social attention. Previous studies focused on the quality of life of the elderly, rather than empty nesters, and lacked the discussion of the mechanism of influencing factors. Thus, this study aimed to explore the influencing factors of the quality of life (QOL) and interaction mechanisms among empty nesters in Shanxi Province, China, so as to provide practical reference for improving the QOL of empty nesters. METHODS: A total of 4901 empty nesters in Shanxi Province, China, were selected using multi-stage random cluster sampling method in this cross-sectional study. The quality of life was assessed with the Short Form 36 Health Survey (SF-36). Multiple linear regression analysis (stepwise) was performed to examine the factor associated with QOL. Structural equation model (SEM) approach was conducted to test the direct and indirect association between QOL influencing factors with QOL. RESULTS: The average QOL score of empty nesters was 63.34 (SD = 17.23). The multiple linear regression revealed that gender, age, education, monthly income, drinking status, exercise frequency, physical examination frequency, attention to daily nutritional health, relationship with a spouse and relationship with children were significant predictors of the empty nester’s QOL (P < 0.05) (R(2) = 0.128). SEM showed that behavioral lifestyle had a direct effect on QOL (β = 0.446, P < 0.001). Socio-economic status had an indirect effect (β = 0.288, P < 0.001) on QOL through behavioral lifestyle. The family relationship had an indirect effect (β = 0.115, P < 0.001) on QOL. CONCLUSION: Behavioral lifestyle was the strongest influencing factor in the quality of life among empty nesters, followed by socio-economic status and family relationships. Thus, maintaining a healthy behavioral lifestyle was important to improve the QOL of the empty nesters. Our findings provide a concrete and strong reference for the formulation of targeted intervention strategies.
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spelling pubmed-81616192021-06-01 Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model Zhang, Chichen Cai, Yuan Xue, Yaqing Zheng, Xiao Yang, Xiaozhao Lu, Jiao Hou, Lihong Li, Mimi Health Qual Life Outcomes Research BACKGROUND: As China’s aging trend intensifies and the proportion of empty nests increases, the health-related quality of life of the elderly is the focus of social attention. Previous studies focused on the quality of life of the elderly, rather than empty nesters, and lacked the discussion of the mechanism of influencing factors. Thus, this study aimed to explore the influencing factors of the quality of life (QOL) and interaction mechanisms among empty nesters in Shanxi Province, China, so as to provide practical reference for improving the QOL of empty nesters. METHODS: A total of 4901 empty nesters in Shanxi Province, China, were selected using multi-stage random cluster sampling method in this cross-sectional study. The quality of life was assessed with the Short Form 36 Health Survey (SF-36). Multiple linear regression analysis (stepwise) was performed to examine the factor associated with QOL. Structural equation model (SEM) approach was conducted to test the direct and indirect association between QOL influencing factors with QOL. RESULTS: The average QOL score of empty nesters was 63.34 (SD = 17.23). The multiple linear regression revealed that gender, age, education, monthly income, drinking status, exercise frequency, physical examination frequency, attention to daily nutritional health, relationship with a spouse and relationship with children were significant predictors of the empty nester’s QOL (P < 0.05) (R(2) = 0.128). SEM showed that behavioral lifestyle had a direct effect on QOL (β = 0.446, P < 0.001). Socio-economic status had an indirect effect (β = 0.288, P < 0.001) on QOL through behavioral lifestyle. The family relationship had an indirect effect (β = 0.115, P < 0.001) on QOL. CONCLUSION: Behavioral lifestyle was the strongest influencing factor in the quality of life among empty nesters, followed by socio-economic status and family relationships. Thus, maintaining a healthy behavioral lifestyle was important to improve the QOL of the empty nesters. Our findings provide a concrete and strong reference for the formulation of targeted intervention strategies. BioMed Central 2021-05-28 /pmc/articles/PMC8161619/ /pubmed/34049560 http://dx.doi.org/10.1186/s12955-021-01793-x 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
Zhang, Chichen
Cai, Yuan
Xue, Yaqing
Zheng, Xiao
Yang, Xiaozhao
Lu, Jiao
Hou, Lihong
Li, Mimi
Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model
title Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model
title_full Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model
title_fullStr Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model
title_full_unstemmed Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model
title_short Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model
title_sort exploring the influencing factors of quality of life among the empty nesters in shanxi, china: a structural equation model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161619/
https://www.ncbi.nlm.nih.gov/pubmed/34049560
http://dx.doi.org/10.1186/s12955-021-01793-x
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