Cargando…

Involuntary Retirement and Depression Among Adults: A Systematic Review and Meta-Analysis of Longitudinal Studies

Results from longitudinal studies on involuntary retirement and depression remain controversial. PubMed, Web of Science, Embase, ScienceDirect, Wanfang, and VIP updated on 4 January 2022 were searched for eligible publications. Pooled relative risks (RRs) with 95% confidence interval (CI) were calcu...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhai, Long, Wang, Junhui, Liu, Yantao, Zhang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854640/
https://www.ncbi.nlm.nih.gov/pubmed/35185644
http://dx.doi.org/10.3389/fpsyt.2022.747334
_version_ 1784653473456848896
author Zhai, Long
Wang, Junhui
Liu, Yantao
Zhang, Hua
author_facet Zhai, Long
Wang, Junhui
Liu, Yantao
Zhang, Hua
author_sort Zhai, Long
collection PubMed
description Results from longitudinal studies on involuntary retirement and depression remain controversial. PubMed, Web of Science, Embase, ScienceDirect, Wanfang, and VIP updated on 4 January 2022 were searched for eligible publications. Pooled relative risks (RRs) with 95% confidence interval (CI) were calculated using a random-effects model. Eight published articles with 14,604 participants for the effect of involuntary retirement on depression incidence and 26,822 participants for the relationship between depression and involuntary retirement were included. Compared with working, the pooled RR for depression was 1.31 (95% CI, 1.13–1.51; I(2) = 37.7%) for the involuntary retirement overall. For involuntary retirement, the pooled RR was 1.70 (95% CI, 1.28–2.25; I(2) = 84.2%). The associations between involuntary retirement and depression did not substantially change in sensitivity and subgroup analyses. No evidence of publication bias was found. This meta-analysis indicates that there might be mutual causal relationship between involuntary retirement and depression. More large longitudinal studies with different gender and income levels are needed.
format Online
Article
Text
id pubmed-8854640
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88546402022-02-19 Involuntary Retirement and Depression Among Adults: A Systematic Review and Meta-Analysis of Longitudinal Studies Zhai, Long Wang, Junhui Liu, Yantao Zhang, Hua Front Psychiatry Psychiatry Results from longitudinal studies on involuntary retirement and depression remain controversial. PubMed, Web of Science, Embase, ScienceDirect, Wanfang, and VIP updated on 4 January 2022 were searched for eligible publications. Pooled relative risks (RRs) with 95% confidence interval (CI) were calculated using a random-effects model. Eight published articles with 14,604 participants for the effect of involuntary retirement on depression incidence and 26,822 participants for the relationship between depression and involuntary retirement were included. Compared with working, the pooled RR for depression was 1.31 (95% CI, 1.13–1.51; I(2) = 37.7%) for the involuntary retirement overall. For involuntary retirement, the pooled RR was 1.70 (95% CI, 1.28–2.25; I(2) = 84.2%). The associations between involuntary retirement and depression did not substantially change in sensitivity and subgroup analyses. No evidence of publication bias was found. This meta-analysis indicates that there might be mutual causal relationship between involuntary retirement and depression. More large longitudinal studies with different gender and income levels are needed. Frontiers Media S.A. 2022-02-04 /pmc/articles/PMC8854640/ /pubmed/35185644 http://dx.doi.org/10.3389/fpsyt.2022.747334 Text en Copyright © 2022 Zhai, Wang, Liu and Zhang. 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 Psychiatry
Zhai, Long
Wang, Junhui
Liu, Yantao
Zhang, Hua
Involuntary Retirement and Depression Among Adults: A Systematic Review and Meta-Analysis of Longitudinal Studies
title Involuntary Retirement and Depression Among Adults: A Systematic Review and Meta-Analysis of Longitudinal Studies
title_full Involuntary Retirement and Depression Among Adults: A Systematic Review and Meta-Analysis of Longitudinal Studies
title_fullStr Involuntary Retirement and Depression Among Adults: A Systematic Review and Meta-Analysis of Longitudinal Studies
title_full_unstemmed Involuntary Retirement and Depression Among Adults: A Systematic Review and Meta-Analysis of Longitudinal Studies
title_short Involuntary Retirement and Depression Among Adults: A Systematic Review and Meta-Analysis of Longitudinal Studies
title_sort involuntary retirement and depression among adults: a systematic review and meta-analysis of longitudinal studies
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854640/
https://www.ncbi.nlm.nih.gov/pubmed/35185644
http://dx.doi.org/10.3389/fpsyt.2022.747334
work_keys_str_mv AT zhailong involuntaryretirementanddepressionamongadultsasystematicreviewandmetaanalysisoflongitudinalstudies
AT wangjunhui involuntaryretirementanddepressionamongadultsasystematicreviewandmetaanalysisoflongitudinalstudies
AT liuyantao involuntaryretirementanddepressionamongadultsasystematicreviewandmetaanalysisoflongitudinalstudies
AT zhanghua involuntaryretirementanddepressionamongadultsasystematicreviewandmetaanalysisoflongitudinalstudies