Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Prevalence of depression disorder in industrial workers: a meta-analysis

(2021) Prevalence of depression disorder in industrial workers: a meta-analysis. International Journal of Occupational Safety and Ergonomics. p. 12. ISSN 1080-3548

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Abstract

Objectives. Depression is known to be associated with a variety of occupational factors. The aim of this study was to meta-analyze the prevalence of depressive disorder in industrial workers. Methods. Three databases indexing abstracts of articles were selected and searched until August 2020: PubMed, Web of Science and Scopus. For each study, the sample size and number of depression events were extracted, and after extracting these data, the random effects method was used to assess the prevalence. I-2 and chi(2) values were used to investigate the heterogeneity. Results. The prevalence of depressive disorder in industrial workers is 21. The prevalence of depressive disorder in men and women industrial workers is 23 and 28, respectively. The prevalence of depressive disorder in Asia, Europe and America is equal to 22, 18 and 20, respectively. The result of the heterogeneity test showed that the heterogeneity is high. Conclusion. The prevalence of depression in industrial workers is higher than in the general population. These differences can be due to the working conditions of industrial workers. Therefore, the work environment and the promotion of occupational health can play an important role in preventing depression.

Item Type: Article
Keywords: depression disorder meta-analysis industrial workers systematic review male-dominated industries mental-health socioeconomic-status japanese workers cancer incidence united-states risk-factors job-stress symptoms life Engineering Public, Environmental & Occupational Health
Page Range: p. 12
Journal or Publication Title: International Journal of Occupational Safety and Ergonomics
Journal Index: ISI
Identification Number: https://doi.org/10.1080/10803548.2021.1912448
ISSN: 1080-3548
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/9558

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