@article{ref1,
title="Sleep variability in UK long distance heavy goods vehicle drivers",
journal="Journal of Occupational and Environmental Medicine",
year="2023",
author="Sherry, Aron Peter and Clemes, Stacy A. and Chen, Yu-Ling and Edwardson, Charlotte L. and Gray, Laura J. and Guest, Amber and King, James A. and Rowlands, Alex V. and Ruettger, Katharina and Sayyah, Mohsen and Varela-Mato, Verónica and Hartescu, Iuliana",
volume="65",
number="1",
pages="67-73",
abstract="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. <br><br>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. <br><br>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. <br><br>CONCLUSIONS: Drivers with high sleep variability may experience more fatigue when driving given the poor sleep outcomes during workdays observed.<p /> <p>Language: en</p>",
language="en",
issn="1076-2752",
doi="10.1097/JOM.0000000000002687",
url="http://dx.doi.org/10.1097/JOM.0000000000002687"
}