Smith Claire E, Lee Soomi, Allen Tammy D
School of Aging Studies, University of South Florida, 4202 East Fowler Avenue, Tampa, FL 33620, USA.
Department of Psychology, University of South Florida, 4202 East Fowler Avenue, Tampa, FL 33620, USA.
J Bus Psychol. 2024 Apr;39(2):393-410. doi: 10.1007/s10869-023-09882-y. Epub 2023 Jun 14.
Work is closely intertwined with employees' sleep quantity and quality, with consequences for well-being and productivity. Yet despite the conceptualization of sleep health as a multidimensional pattern of various sleep characteristics, little is known about workers' experiences of the diverse range of sleep health dimensions (e.g., sleep regularity, daytime alertness, and sleep efficiency in addition to quantity and quality) proposed by contemporary frameworks. The present study integrates modern sleep frameworks with the Job Demands-Control-Support Model to describe common multidimensional sleep health phenotypes among employees and their associations with job characteristics. Across two national samples ( = 2353; = 1260) of working adults from the Midlife in the United States study, latent class analysis indicated three common sleep health phenotypes: (1) who exhibit good sleep across all dimensions, (2) who sleep longer on non-workdays and shorter on workdays but exhibit otherwise good sleep, and (3) (SDIIs) who were suboptimal across four of the five measured sleep health dimensions. Good sleepers reported low job demands, high control, and high support (similar to a low-strain job). Catch-up sleepers reported high job control and moderate demands and support (similar to an active job). SDIIs reported high demands, low control, and low support (similar to a high-strain job). We discuss implications for job characteristics theories, sleep health frameworks, and practical management of employee sleep when measured as a multidimensional pattern of sleep health experiences.
工作与员工的睡眠数量和质量紧密相连,会对幸福感和工作效率产生影响。然而,尽管睡眠健康被概念化为各种睡眠特征的多维模式,但对于当代框架所提出的员工在睡眠健康多维度(如除了数量和质量外,还包括睡眠规律性、日间警觉性和睡眠效率)方面的体验却知之甚少。本研究将现代睡眠框架与工作需求 - 控制 - 支持模型相结合,以描述员工中常见的多维睡眠健康表型及其与工作特征的关联。在美国中年研究中的两个全国性在职成年人样本(n = 2353;n = 1260)中,潜在类别分析表明存在三种常见的睡眠健康表型:(1)在所有维度上睡眠良好的人;(2)非工作日睡眠时间长、工作日睡眠时间短但其他方面睡眠良好的人;(3)在五个测量的睡眠健康维度中有四个维度表现欠佳的人(睡眠不足个体)。睡眠良好者报告的工作需求低、控制高且支持高(类似于低压力工作)。补觉者报告的工作控制高、需求和支持适中(类似于积极工作)。睡眠不足个体报告的需求高、控制低且支持低(类似于高压力工作)。我们讨论了这些结果对工作特征理论、睡眠健康框架以及将睡眠健康体验作为多维模式进行测量时员工睡眠的实际管理的意义。