دورية أكاديمية
أعرض في EDS

Sleep Variability in UK Long Distance Heavy Goods Vehicle Drivers.

التفاصيل البيبلوغرافية
العنوان: Sleep Variability in UK Long Distance Heavy Goods Vehicle Drivers.
المؤلفون: Sherry AP; From the School of Sport, Exercise and Health Sciences, National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom (Dr Sherry, Dr Clemes, Dr Chen, Ms Guest, Dr King, Ms Ruettger, Dr Sayyah, Dr Varela-Mato, Dr Hartescu); National Institute for Health Research (NIHR), Leicester Biomedical Research Centre, University Hospitals of Leicester National Health Service Trust and University of Leicester, Leicester, United Kingdom (Dr Clemes, Dr Edwardson, Dr King, Dr Rowlands); Diabetes Research Centre, University of Leicester, Leicester, United Kingdom (Dr Edwardson, Dr Rowlands); and Department of Health Sciences, University of Leicester, Leicester, United Kingdom (Dr Gray)., Clemes SA, Chen YL, Edwardson CL, Gray LJ, Guest A, King JA, Rowlands AV, Ruettger K, Sayyah M, Varela-Mato V, Hartescu I
المصدر: Journal of occupational and environmental medicine [J Occup Environ Med] 2023 Jan 01; Vol. 65 (1), pp. 67-73. Date of Electronic Publication: 2022 Aug 20.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 9504688 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-5948 (Electronic) Linking ISSN: 10762752 NLM ISO Abbreviation: J Occup Environ Med Subsets: MEDLINE
أسماء مطبوعة: Publication: Hagerstown, MD : Lippincott Williams & Wilkins
Original Publication: Baltimore, MD : Williams & Wilkins, c1995-
مواضيع طبية MeSH: Motor Vehicles* , Automobile Driving*, Humans ; Sleep ; Wakefulness ; United Kingdom/epidemiology
مستخلص: 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.
Competing Interests: Conflict of interest: None declared.
(Copyright © 2022 American College of Occupational and Environmental Medicine.)
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معلومات مُعتمدة: NIHR PHR 15/190/42 United Kingdom Department of Health
تواريخ الأحداث: Date Created: 20230106 Date Completed: 20230110 Latest Revision: 20230210
رمز التحديث: 20230210
DOI: 10.1097/JOM.0000000000002687
PMID: 36608152
قاعدة البيانات: MEDLINE
الوصف
تدمد:1536-5948
DOI:10.1097/JOM.0000000000002687