(2020) Association between job strain and sick leave: a systematic review and meta-analysis of prospective cohort studies. Public Health. pp. 235-242. ISSN 0033-3506
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Abstract
Objectives: Sick leave imposes large costs on society, and job strain is one of the factors leading to sick leave. A systematic review and meta-analysis of longitudinal studies was conducted to address job strain and its association with sick leave. Study design: This is a systematic review and meta-analysis. Methods: PubMed and Scopus databases were reviewed, in addition to searches in Google Scholar and ResearchGate to ensure the inclusion of any grey literature articles. After screening the studies, using Preferred Reporting Items for Systematic Reviews and Meta-Analyses principles, articles with longitudinal design were found desirable for meta-analysis. The risk ratio (RR) and 95 confidence interval (CI) were calculated, and publication bias was examined. Results: Eighteen longitudinal cohort studies were selected. Job strain and sick leave were found to be associated, and the RR of this association was equal to 1.44. Risk of sick leave based on job strain in men and women was equal to 1.66 (95 CI: 1.15-2.40) and 1.16 (95 CI: 1.08-1.24), respectively. The results showed no publication bias as per Begg's test. Conclusions: Job strain was associated with an increased risk of sick leave. Occupational conditions have significant effects on the risk of sick leave one of which is job strain. Therefore, improving organisational conditions can have a significant impact on reducing sick leave. (C) 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
Item Type: | Article |
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Keywords: | Job strain Meta-analysis Sick leave Systematic review coronary-heart-disease low-back-pain mental-health risk-factor cardiovascular-disease working-conditions social support random sample absence stress Public, Environmental & Occupational Health |
Page Range: | pp. 235-242 |
Journal or Publication Title: | Public Health |
Journal Index: | ISI |
Volume: | 185 |
Identification Number: | https://doi.org/10.1016/j.puhe.2020.05.023 |
ISSN: | 0033-3506 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/8673 |
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