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

计时型 医学 轮班制 心理健康 观察研究 荟萃分析 傍晚 检查表 人口 系统回顾 人口学 精神科 老年学 环境卫生 梅德林 心理学 早晨 内科学 物理 天文 社会学 政治学 法学 认知心理学
作者
Beixi Li,Gengze Liao,Priscilla Ming Yi Lee,Anke Huss,Yuen Ting Julie,Joey Wing-Yan Chan,Yun Kwok Wing,Lap Ah Tse
出处
期刊:Journal of Epidemiology and Community Health [BMJ]
卷期号:77 (8): 485-493 被引量:6
标识
DOI:10.1136/jech-2022-220280
摘要

Nearly 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.Six 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.Fourteen 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.Evening 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.
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