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Published on: February 22, 2018
Work intervals and the prevalence of depressive symptoms among daytime workers: Japan Epidemiology Collaboration on
Chihiro Nagayama1, Haruka Miyake1, Zobida Islam1
1Department of Epidemiology and Prevention, Center for Clinical Sciences, Japan Institute for Health Security, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Objectives:
This study examined the association between work intervals and depressive symptoms among daytime workers, and whether lifestyle behaviors might help explain this association.
Methods:
A cross-sectional analysis was conducted on 8007 daytime workers who participated in a questionnaire survey of the Japan Epidemiology Collaboration on Occupational Health Study. Work intervals-both including and excluding commuting time-were calculated based on the participants' self-reported work departure and arrival times. Depressive symptoms were assessed using the 11-item Center for Epidemiological Studies Depression Scale. Multilevel robust Poisson regression models were used to estimate the prevalence ratio (PR) and 95% confidence interval (CI) for depressive symptoms across work interval categories. Five lifestyle factors (sleep duration, breakfast consumption, dietary balance, dinner timing, and leisure-time physical activity) were examined in a mediation analysis to assess the extent to which they account for the observed association.
Results:
The adjusted PRs (95% CIs) for depressive symptoms were 1.41 (1.12-1.77), 1.23 (1.12-1.35), 1.03 (0.96-1.11), 1.00 (reference), and 1.08 (1.04-1.12) for those with work intervals of <11.0, 11.0-12.9, 13.0-13.9, 14.0-14.9, and ≥15.0 h, respectively. A substantial proportion of the association between shorter work intervals and depressive symptoms was explained by the lifestyle factors examined: 57.9% for <11.0 h and 38.9% for 11.0-12.9 h. Similar results were obtained when the commuting time was subtracted from the work interval.
Conclusions:
Shorter work intervals were associated with depressive symptoms, and this association may be partly related to health-related lifestyle factors.
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