Designing Work for Healthy Sleep: A Multidimensional, Latent Transition Approach to Employee Sleep Health
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F24%3A00081542" target="_blank" >RIV/00159816:_____/24:00081542 - isvavai.cz</a>
Result on the web
<a href="https://psycnet.apa.org/record/2025-58377-002" target="_blank" >https://psycnet.apa.org/record/2025-58377-002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1037/ocp0000386" target="_blank" >10.1037/ocp0000386</a>
Alternative languages
Result language
angličtina
Original language name
Designing Work for Healthy Sleep: A Multidimensional, Latent Transition Approach to Employee Sleep Health
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30300 - Health sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Occupational Health Psychology
ISSN
1076-8998
e-ISSN
1939-1307
Volume of the periodical
29
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
409-430
UT code for WoS article
001382534400004
EID of the result in the Scopus database
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