Zhai Long, Wang Junhui, Liu Yantao, Zhang Hua
Department of Occupational Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, China.
Department of Third Supervisory Section, Shibei District Health Supervision Institute, Qingdao, China.
Front Psychiatry. 2022 Feb 4;13:747334. doi: 10.3389/fpsyt.2022.747334. eCollection 2022.
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; = 37.7%) for the involuntary retirement overall. For involuntary retirement, the pooled RR was 1.70 (95% CI, 1.28-2.25; = 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.
关于非自愿退休与抑郁症的纵向研究结果仍存在争议。检索了2022年1月4日更新的PubMed、科学网、Embase、ScienceDirect、万方和维普，以查找符合条件的出版物。使用随机效应模型计算合并相对风险（RRs）及其95%置信区间（CI）。纳入了8篇已发表文章，其中14604名参与者用于研究非自愿退休对抑郁症发病率的影响，26822名参与者用于研究抑郁症与非自愿退休之间的关系。总体而言，与在职相比，非自愿退休导致抑郁症的合并RR为1.31（95%CI，1.13 - 1.51；P = 37.7%）。对于非自愿退休，合并RR为1.70（95%CI，1.28 - 2.25；P = 84.2%）。在敏感性分析和亚组分析中，非自愿退休与抑郁症之间的关联没有实质性变化。未发现发表偏倚的证据。这项荟萃分析表明，非自愿退休与抑郁症之间可能存在相互因果关系。需要更多针对不同性别和收入水平的大型纵向研究。
