Designing Work for Healthy Sleep: A Multidimensional, Latent Transition Approach to Employee Sleep Health

Abstract

Healthy sleep is essential to employee well-being and productivity, but many modern workers do not obtain adequate sleep. Are technology-related changes to job design (i.e., computer use, sedentary work, nontraditional work schedules) related to long-term worsening of employee sleep health? The present study seeks to address this question using nationally representative data from the Midlife in the United States study, which includes detailed information on sleep duration, regularity, sleep onset latency, insomnia symptoms, napping, and daytime tiredness from full-time workers (N = 1, 297) at two time points separated by approximately 10 years. Using latent transition analysis to consider how these sleep health dimensions co-occur, we identify three multidimensional sleep health phenotypes at both time points: good sleepers, catch-up sleepers, and insomnia sleepers. Sedentary work is linked to the insomnia sleeper phenotype. Nontraditional work schedules are linked to the catch-up sleeper phenotype. These findings test assumptions of modern models of job design regarding the impact of technology on employee sleep health and advance measurement of sleep health in the organizational sciences to be multidimensional and dynamic. Further, results point to specific sleep needs in the working adult population and identify potential points of intervention via job design.