Literature DB >> 25258107

Heavy overtime work and depressive disorder among male workers.

R Kato1, Y Haruyama2, M Endo2, A Tsutsumi3, T Muto2.   

Abstract

BACKGROUND: The association between overtime and depression is unclear and very few studies have examined the association between heavy overtime work, i.e. working more than 60 h per week, and depression. AIMS: To examine the association between heavy overtime work and the onset of depressive disorder among male workers.
METHODS: A 1-year follow-up cohort study of male workers in a manufacturing company in Japan, between 2008 and 2009. Working hours, depressive disorder, assessed by the Center for Epidemiologic Studies Depression (CES-D) Scale (score ≥16 points), and covariates were measured at baseline and at follow-up. Participants who had depressive disorder at baseline were excluded.
RESULTS: At follow-up, 1194 participants aged between 18 and 71 years were analysed. Multiple logistic regression analysis revealed that the odds ratio for the new onset of depressive disorder was 4.5 (95% CI 1.8-11.1) times higher for employees working >60 h per week than for those working ≤50 h per week, when adjusted for age, lifestyle factors, work-related characteristics and socio-demographic characteristics at baseline and working hours at follow-up. However, the correlation between working 50.1 to 60 h per week and depressive disorder was not significant. The trend test of depressive disorder among groups by working hours was significant (P < 0.01).
CONCLUSIONS: Heavy overtime work is a risk factor for the new onset of depressive disorder in this population of male workers. Working >60 h per week may be the cut-off to screen for high-risk groups who need preventive action against depressive disorder.
© The Author 2014. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  CES-D; depressive disorder; overtime work; working hours.

Mesh:

Year:  2014        PMID: 25258107     DOI: 10.1093/occmed/kqu120

Source DB:  PubMed          Journal:  Occup Med (Lond)        ISSN: 0962-7480            Impact factor:   1.611


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