Association between matched chronotype and poor mental health among shift workers: a systematic review and meta‐analysis

Author:

Li BeixiORCID,Liao Gengze,Lee Priscilla Ming Yi,Huss Anke,Ma Yuen Ting Julie,Chan Joey Wing-Yan,Wing Yun Kwok,Tse Lap AhORCID

Abstract

BackgroundNearly 0.7 billion workers are involved in the shift work system, leading to concerns about its potential impacts on the large-scale population mental health. This study aimed to synthesise evidence of the associations between matched chronotype and the risk of poor mental health among shift workers.MethodsSix computerised databases were searched from inception to September 2022. Observational studies were selected if they reported any association between common mental health parameters and chronotype scores/types of shift workers. The Preferred Reporting Items for Systematic Reviews and Meta-analyses checklist was followed. We extracted adjusted risk estimates to calculate pooled effect sizes and explore sources of heterogeneity. The study was registered in PROSPERO: CRD42022357437.ResultsFourteen studies including 49 909 workers were identified. Ever shift workers had a higher risk of poor mental health than the day workers (pooled OR 1.15, 95% CI 1.03 to 1.28; I2=14%, p=0.29), with the evening chronotype ever shift workers having a 1.47 times higher risk than those who worked during the day (pooled OR 1.47, 95% CI 1.13 to 1.91; I2=42%, p=0.16). Sensitivity analysis excluding studies with the highest risk of bias of each group demonstrated consistent findings.ConclusionsEvening chronotype ever shift workers have poorer mental health than shift workers with other chronotypes. Chronotype remains unrecognised in the contemporary rostering system, making it a hidden contributor to occupational mental health. Work-related physical and mental stresses may be prevented/mitigated with further investigation on optimising shift work schedule combined with individual chronotype preference.

Funder

The Health and Medical Research Fund

The Research Grants Council - General Research Fund

lnt'l TripartiteCollaboration to Advance Exposome Research-lnnovative Public Health Exposome Global Projects and BioData Approach of the Chinese University of Hong Kong

Publisher

BMJ

Subject

Public Health, Environmental and Occupational Health,Epidemiology

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