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Association of depressive symptoms with retirement in Chinese employees: evidence from national longitudinal surveys from 2011 to 2018

BACKGROUND: The relationship between depressive symptoms and retirement remains controversial. Thus, we aimed to explore the effect of retirement on individuals' depressive symptoms in Chinese employees. METHODS: In this panel data analysis, a data set from China Health and Retirement Longitudi...

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Autores principales: Xu, Fenglin, Yuan, Jingmin, Wu, Hongxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214712/
https://www.ncbi.nlm.nih.gov/pubmed/37237309
http://dx.doi.org/10.1186/s12889-023-15971-7
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author Xu, Fenglin
Yuan, Jingmin
Wu, Hongxia
author_facet Xu, Fenglin
Yuan, Jingmin
Wu, Hongxia
author_sort Xu, Fenglin
collection PubMed
description BACKGROUND: The relationship between depressive symptoms and retirement remains controversial. Thus, we aimed to explore the effect of retirement on individuals' depressive symptoms in Chinese employees. METHODS: In this panel data analysis, a data set from China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013, 2015 and 2018 was adopted with a total of 1390 employees aged ≥ 45-years-old who had complete follow-up for the four waves. Random-effects logistic regression was used to examine the associations between retirement and depressive symptoms. RESULTS: After adjusting several socio-demographic variables, retirement still increases the risk of depressive symptoms in the retirees (odds ratio 1.5, 95% CI 1.14–1.97). Through subgroup analysis, we found that people who are male, with lower education level, married, living in rural areas, suffering from chronic diseases, and those who do not participate in social activities are more likely to experience depression after retirement. CONCLUSIONS: Retirement can increase the depression risk of Chinese employees. It is necessary to formulate relevant supporting policies to reduce the risk of depression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15971-7.
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spelling pubmed-102147122023-05-27 Association of depressive symptoms with retirement in Chinese employees: evidence from national longitudinal surveys from 2011 to 2018 Xu, Fenglin Yuan, Jingmin Wu, Hongxia BMC Public Health Research BACKGROUND: The relationship between depressive symptoms and retirement remains controversial. Thus, we aimed to explore the effect of retirement on individuals' depressive symptoms in Chinese employees. METHODS: In this panel data analysis, a data set from China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013, 2015 and 2018 was adopted with a total of 1390 employees aged ≥ 45-years-old who had complete follow-up for the four waves. Random-effects logistic regression was used to examine the associations between retirement and depressive symptoms. RESULTS: After adjusting several socio-demographic variables, retirement still increases the risk of depressive symptoms in the retirees (odds ratio 1.5, 95% CI 1.14–1.97). Through subgroup analysis, we found that people who are male, with lower education level, married, living in rural areas, suffering from chronic diseases, and those who do not participate in social activities are more likely to experience depression after retirement. CONCLUSIONS: Retirement can increase the depression risk of Chinese employees. It is necessary to formulate relevant supporting policies to reduce the risk of depression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15971-7. BioMed Central 2023-05-26 /pmc/articles/PMC10214712/ /pubmed/37237309 http://dx.doi.org/10.1186/s12889-023-15971-7 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
Xu, Fenglin
Yuan, Jingmin
Wu, Hongxia
Association of depressive symptoms with retirement in Chinese employees: evidence from national longitudinal surveys from 2011 to 2018
title Association of depressive symptoms with retirement in Chinese employees: evidence from national longitudinal surveys from 2011 to 2018
title_full Association of depressive symptoms with retirement in Chinese employees: evidence from national longitudinal surveys from 2011 to 2018
title_fullStr Association of depressive symptoms with retirement in Chinese employees: evidence from national longitudinal surveys from 2011 to 2018
title_full_unstemmed Association of depressive symptoms with retirement in Chinese employees: evidence from national longitudinal surveys from 2011 to 2018
title_short Association of depressive symptoms with retirement in Chinese employees: evidence from national longitudinal surveys from 2011 to 2018
title_sort association of depressive symptoms with retirement in chinese employees: evidence from national longitudinal surveys from 2011 to 2018
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214712/
https://www.ncbi.nlm.nih.gov/pubmed/37237309
http://dx.doi.org/10.1186/s12889-023-15971-7
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