Depression symptoms reducing return to work: a meta-analysis of prospective studies

Int J Occup Saf Ergon. 2023 Mar;29(1):347-357. doi: 10.1080/10803548.2022.2044640. Epub 2022 Apr 27.

Abstract

Objectives. This study was conducted to estimate the risk of return to work for people who experience symptoms of depression based on the pool of prospective data. Methods. All online articles in PubMed and Scopus which were accessible before November 2019 were searched. The odds ratios of each of the studies were pooled together to obtain an overall odds ratio. The pool of studies was with random effects. The analysis was performed based on the depression symptoms scale, type of disease and duration of follow-up. Two other aspects were examined in the analysis, one being the bias in the publication of studies and the other being the level of heterogeneity that was examined. Results. Thirty-five studies were selected for the meta-analysis. The pooled odds ratio indicates that the odds of return to work in people with depressive symptoms is 31% lower than in those without depressive symptoms. The funnel plot shows that there is asymmetry. The Egger test result was significant (p < 0.001) and there is publication bias. Conclusion. Depression symptoms after sick leave due to physical illness is a risk factor for not returning to work.

Keywords: depression; meta-analysis; return to work; systematic review.

Publication types

  • Meta-Analysis

MeSH terms

  • Depression* / epidemiology
  • Depression* / etiology
  • Humans
  • Prospective Studies
  • Return to Work*
  • Risk Factors
  • Sick Leave