体力工作环境与睡眠：潜在类别分析。
The Physical Work Environment and Sleep: A Latent Class Analysis.
机构信息
School of Psychology (Dr Magee); School of Health and Society (Dr Gopaldasani, Dr Bakand, Dr Coman), University of Wollongong, Australia.
出版信息
J Occup Environ Med. 2019 Dec;61(12):1011-1018. doi: 10.1097/JOM.0000000000001725.
OBJECTIVE
To investigate the relationships between the physical work environment and sleep using a person-centered approach.
METHODS
A total of 542 Australian employees aged 18 to 60 years completed a survey assessing exposure to physical work environment stressors (eg, noise, poor air quality, and hazardous manual tasks), sleep timing and sleep quality, and relevant covariates.
RESULTS
Latent class analysis (LCA) revealed three physical work environment classes: Infrequent exposure (51%); Occasional Exposure (31%); and Regular Exposure (18%). LCA also identified four sleep classes: Larks (24%); Typical sleep (43%); Insufficient sleep (20%); and Owls (13%). The Regular Exposure class was significantly associated with the Insufficient Sleep (odds ratio [OR] = 3.15, [1.29, 7.66]) and Owls (OR = 3.47 [1.24, 9.71]) classes.
CONCLUSIONS
The person-centered approach provides important insights into how unique physical work environment experiences are linked with sleep.
目的
采用以人为中心的方法研究物理工作环境与睡眠之间的关系。
方法
共有 542 名年龄在 18 至 60 岁之间的澳大利亚员工完成了一项调查，评估他们在物理工作环境中暴露于压力源（如噪音、空气质量差和危险的手工任务）、睡眠时间和睡眠质量以及相关协变量的情况。
结果
潜在类别分析（LCA）揭示了三种物理工作环境类别：偶尔暴露（31%）；经常暴露（18%）；不常暴露（51%）。LCA 还确定了四种睡眠类别：早起的人（24%）；典型睡眠者（43%）；睡眠不足者（20%）；夜猫子（13%）。经常暴露类与睡眠不足（优势比 [OR] = 3.15 [1.29, 7.66]）和夜猫子（OR = 3.47 [1.24, 9.71]）类别显著相关。
结论
以人为中心的方法提供了重要的见解，了解独特的物理工作环境体验如何与睡眠相关。
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