Sleep duration and sleep difficulties as predictors of occupational injuries: a cohort study

医学 优势比 多项式logistic回归 逻辑回归 睡眠(系统调用) 队列 职业安全与健康 人口学 毒物控制 伤害预防 广义估计方程 可能性 队列研究 内科学 环境卫生 社会学 病理 机器学习 操作系统 统计 计算机科学 数学
作者
Maria Alhainen,Mikko Härmä,Jaana Pentti,Jenni Ervasti,Mika Kivimäki,Jussi Vahtera,Sari Stenholm
出处
期刊:Occupational and Environmental Medicine [BMJ]
卷期号:79 (4): 224-232 被引量:9
标识
DOI:10.1136/oemed-2021-107516
摘要

To examine the association between sleep duration and sleep difficulties with different types and causes of workplace and commuting injuries.The data were derived from the Finnish Public Sector study including 89.543 participants (178.309 person-observations). Participants reported their sleep duration and sleep difficulties between 2000 and 2012. These were linked to occupational injury records from the national register maintained by the Federation of Accident Insurance Institutions. Risk of injuries was followed up 1 year after each study wave. Logistic regression analysis with generalised estimating equations (GEEs) was used to examine the association between sleep duration/difficulties and risk of injuries, and multinomial logistic regression with GEE was used to examine the association with injury types and causes.Both sleep duration and difficulties were associated with injuries. Employees with short sleep (≤6.5 hours) had 1.07-fold odds of workplace injuries (95% CI 1.00 to 1.14) and 1.14 times higher odds of commuting injuries (95% CI 1.04 to 1.26) compared with employees with normal sleep duration. For employees with disturbed sleep, the corresponding ORs were 1.09-fold (95% CI 1.02 to 1.17) and 1.14-fold (95% CI 1.04 to 1.26) compared with those without sleep difficulties, respectively. The risk of commuting injuries was higher among those who had difficulty in falling asleep (OR 1.29, 95% CI 1.07 to 1.55), woke up too early (OR 1.11, 95% CI 1.00 to 1.23) or had non-restorative sleep (OR 1.18, 95% CI 1.05 to 1.33).Short sleep duration and sleep difficulties are associated with slightly increased risk of workplace and commuting injuries.
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