Sleep variability in UK long distance heavy goods vehicle drivers
Objectives
Sleep variability levels are unknown in heavy goods vehicle (HGV) drivers yet are associated with adverse health outcomes and reduced driver vigilance when high.
Methods
Two hundred and thirty-three HGV drivers recruited across 25 UK depots provided sleep variability, sleep duration, and sleep efficiency data via wrist-worn accelerometry (GENEActiv) over 8 days. Sleep variability indicators included social jetlag (the difference in midpoint of the sleep window between work and nonworkdays) and intraindividual variability of sleep window onset time, out-of-bed time, and sleep duration.
Results
Fifty-three percent of drivers experienced social jetlag (≥1 hour), and 27% experienced high (>2 hours) social jetlag. Drivers with the highest sleep variability had the shortest sleep duration and lowest sleep efficiency during workdays.
Conclusions
Drivers with high sleep variability may experience more fatigue when driving given the poor sleep outcomes during workdays observed.
Funding
National Institute for Health Research (NIHR)
History
School
- Sport, Exercise and Health Sciences
Published in
Journal of Occupational and Environmental MedicineVolume
65Issue
1Pages
67 - 73Publisher
Lippincott, Williams & WilkinsVersion
- AM (Accepted Manuscript)
Rights holder
© American College of Occupational and Environmental MedicinePublisher statement
This is a non-final version of an article published in final form in Journal of Occupational and Environmental Medicine Sherry, Aron Peter PhD; Clemes, Stacy A. PhD; Chen, Yu-Ling PhD; Edwardson, Charlotte L. PhD; Gray, Laura J. PhD; Guest, Amber BSc; King, James A. PhD; Rowlands, Alex V. PhD; Ruettger, Katharina BSc; Sayyah, Mohsen PhD; Varela-Mato, Veronica PhD; Hartescu, Iuliana PhD. Sleep Variability in UK Long Distance Heavy Goods Vehicle Drivers. Journal of Occupational and Environmental Medicine 65(1):p 67-73, January 2023. | DOI: 10.1097/JOM.0000000000002687.Acceptance date
2022-08-17Publication date
2023-01-01Copyright date
2022ISSN
1076-2752eISSN
1536-5948Publisher version
Language
- en