Depression symptoms and risk of sick leave: a systematic review and meta-analysis.

Depression symptoms Meta-analysis Sick leave Systematic review

Journal

International archives of occupational and environmental health
ISSN: 1432-1246
Titre abrégé: Int Arch Occup Environ Health
Pays: Germany
ID NLM: 7512134

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 26 09 2020
accepted: 19 02 2021
pubmed: 1 5 2021
medline: 24 9 2021
entrez: 30 4 2021
Statut: ppublish

Résumé

Depression symptoms are one of the most common psychiatric disorders and affect all aspects of life. The impact of depression symptoms on sick leave in the working population is a major issue that requires a more comprehensive examination. This systematic review used the PRISMA method to identify eligible studies (n = 15). Subsequently, the association between depression symptoms and sick leave was examined and several important subgroup analyses were performed. Depression symptoms were associated with sick leave, with an overall risk ratio (RR) of 1.52 [95% confidence interval (95% CI) 1.34-1.73]. In men, the result displayed RR 2.19 (95% CI 1.17-4.09) and in women, the result showed RR 1.54 (95% CI 1.35-1.76). Additional subgroup analyses that account for methodological differences across studies based on the method of assessing depression symptoms and sick leave showed that this association was consistent. Depression symptoms are associated with sick leave. Given that sick leave can have an economic and social burden, more attention to depression symptoms is necessary.

Identifiants

pubmed: 33928429
doi: 10.1007/s00420-021-01703-0
pii: 10.1007/s00420-021-01703-0
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1495-1512

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Sohrab Amiri (S)

Medicine, Quran and Hadith Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran. rsr.amiri.s@bmsu.ac.ir.
Behavioral Sciences Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. rsr.amiri.s@bmsu.ac.ir.

Sepideh Behnezhad (S)

Department of Psychology, Kharazmi University, Tehran, Iran.

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