Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Oct 29;10(10):e037544.
doi: 10.1136/bmjopen-2020-037544.

Association for combined exposure to job strain, shift work on mental health among Chinese railway workers: a cross-sectional study

Affiliations

Association for combined exposure to job strain, shift work on mental health among Chinese railway workers: a cross-sectional study

Yu Jiang et al. BMJ Open. .

Abstract

Objectives: The aim of this study was to assess the effects of coexposure to job strain and shift work on mental health in railway workers.

Design: Cross-sectional study.

Setting: One Railway Bureau Group in China.

Participants: A total of 1270 front-line railway workers.

Outcome measures: The Symptom Checklist-90-Revised questionnaire was used to measure general mental health. Job strain variables were derived from the Job Content Questionnaire. Based on the records of the work schedule 3 months prior to the survey, the following three shift types were identified: fixed day, fixed night and rotating night shifts. Risks associated with mental health were assessed by carrying out logistic regression analysis which was adjusted for age, job tenure, smoking and exercise. Additionally, a crossover analysis was employed for the combined effects.

Results: High levels of job strain were linked to a higher risk of poor mental health (OR=1.53, 95% CI: 1.10 to 2.11). After adjusting for confounding factors, night shifts and rotating night shifts were significant risk factors for mental health (OR=2.21, 95% CI: 1.60 to 3.07; OR=2.36, 95% CI: 1.73 to 3.22). Compared with participants who experienced a low level of job strain and day shifts, those with a high level of job strain and who worked rotating shifts were at the highest risk of poor mental health (OR=4.68, 95% CI: 2.91 to 8.04), whereas the influence of a low level of job strain and rotating night shifts was not statistically significant.

Conclusion: Job strain and night shifts among workers were associated, both independently and in combination, with an increased risk of poor mental health. Our data suggest that job strain contributes to the risk of poor mental health by means of a combined effect with shift work.

Keywords: mental health; occupational & industrial medicine; public health.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Flow of excluded individuals in the cross-sectional study.

References

    1. Huang Y, Wang Y, Wang H, et al. Prevalence of mental disorders in China: a cross-sectional epidemiological study. Lancet Psychiatry 2019;6:211–24. 10.1016/S2215-0366(18)30511-X - DOI - PubMed
    1. Rehm J, Shield KD. Global burden of disease and the impact of mental and addictive disorders. Curr Psychiatry Rep 2019;21:10. 10.1007/s11920-019-0997-0 - DOI - PubMed
    1. Whiteford HA, Degenhardt L, Rehm J, et al. Global burden of disease attributable to mental and substance use disorders: findings from the global burden of disease study 2010. Lancet 2013;382:1575–86. 10.1016/S0140-6736(13)61611-6 - DOI - PubMed
    1. Rantonen O, Alexanderson K, Pentti J, et al. Trends in work disability with mental diagnoses among social workers in Finland and Sweden in 2005-2012. Epidemiol Psychiatr Sci 2017;26:644–54. 10.1017/S2045796016000597 - DOI - PMC - PubMed
    1. Scott KM, Lim C, Al-Hamzawi A, et al. Association of mental disorders with subsequent chronic physical conditions: world mental health surveys from 17 countries. JAMA Psychiatry 2016;73:150–8. 10.1001/jamapsychiatry.2015.2688 - DOI - PMC - PubMed

Publication types