دورية أكاديمية
Sleep Variability in UK Long Distance Heavy Goods Vehicle Drivers.
العنوان: | Sleep Variability in UK Long Distance Heavy Goods Vehicle Drivers. |
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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.) |
References: | The Freight Transport Association. Logistics Report 2019 [Internet]. 2019. Available at: https://www.santandercb.co.uk/factsheet/fta-logistics-report-2019.pdf . Accessed October 2, 2022. Boivin DB, Boudreau P. Impacts of shift work on sleep and circadian rhythms. Pathol Biol (Paris) . 2014;62:292–301. Åkerstedt T, Knutsson A, Westerholm P, Theorell T, Alfredsson L, Kecklund G. Work organisation and unintentional sleep: results from the WOLF study. Occup Environ Med . 2002;59:595–600. Roenneberg T, Pilz LK, Zerbini G, Winnebeck EC. Chronotype and social jetlag: a (self-) critical review. Biology (Basel) . 2019;8:1–19. Zerbini G, Kantermann T, Merrow M. Strategies to decrease social jetlag: reducing evening blue light advances sleep and melatonin. Eur J Neurosci . 2020;51:2355–2366. Juda M, Vetter C, Roenneberg T. Chronotype modulates sleep duration, sleep quality, and social jet lag in shift-workers. J Biol Rhythms . 2013;28:141–151. Chaput JP, Dutil C, Featherstone R, et al. Sleep timing, sleep consistency, and health in adults: a systematic review. Appl Physiol Nutr Metab . 2020;45:S232–S247. Lemola S, Räikkönen K, Gomez V, et al. Optimism and self-esteem are related to sleep. Results from a large community-based sample. Int J Behav Med . 2013;20:567–571. Itani O, Jike M, Watanabe N, et al. Short sleep duration and health outcomes: a systematic review, meta-analysis, and meta-regression. Sleep Med . 2017;1:246–256. Jackson P, Hilditch C, Holmes A, et al. Fatigue and Road Safety: A Critical Analysis of Recent Evidence. London, UK: Department for Transport, Road Safety Web Publication; 2011:21. Sherry AP, Clemes SA, Chen Y-L, et al. Sleep duration and sleep efficiency in UK long-distance heavy goods vehicle drivers. Occup Environ Med . 2021;79:109–115. Taylor BJ, Matthews KA, Hasler BP, et al. Bedtime variability and metabolic health in midlife women: the Swan Sleep Study. Sleep . 2016;39:457–465. Wong PM, Hasler BP, Kamarck TW, Muldoon MF, Manuck SB. Social jetlag, chronotype, and cardiometabolic risk. J Clin Endocrinol Metab . 2015;100:4612–4620. Duncan MJ, Kline CE, Rebar AL, Vandelanotte C, Short CE. Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study. Z Gesundh Wiss . 2016;24:31–40. Rutters F, Lemmens SG, Adam TC, et al. Is social jetlag associated with an adverse endocrine, behavioral, and cardiovascular risk profile? J Biol Rhythms . 2014;29:377–383. Guest AJ, Chen YL, Pearson N, King JA, Paine NJ, Clemes SA. Cardiometabolic risk factors and mental health status among truck drivers: a systematic review. BMJ Open . 2020;10:1–12. Sieber WK, Robinson CF, Birdsey J, et al. Obesity and other risk factors: the national survey of US long-haul truck driver health and injury. Am J Ind Med . 2014;57:615–626. Varela-Mato V, O'Shea O, King JA, et al. Cross-sectional surveillance study to phenotype lorry drivers' sedentary behaviours, physical activity and cardio-metabolic health. BMJ open . 2017;7:e013162. Ekelund U, Steene-Johannessen J, Brown WJ, et al. Lancet sedentary behaviour working group. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet . 2016;388:1302–1310. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Lancet physical activity Series working group. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet . 2012;380:219–229. Rebar AL, Stanton R, Geard D, Short C, Duncan MJ, Vandelanotte C. A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations. Health Psychol Rev . 2015;9:366–378. Clemes SA, Varela Mato V, Munir F, et al. Cluster randomised controlled trial to investigate the effectiveness and cost-effectiveness of a structured health intervention for truckers (the SHIFT study): a study protocol. BMJ Open . 2019;9:1–13. EuroQol Group. EuroQol—a new facility for the measurement of health-related quality of life. Health Policy . 1990;16:199–208. Adan A, Almirall H. Morningness-Eveningness Questionnaire: a reduced scale. Pers Individ Differ . 1991;12:241–253. Migueles JH, Rowlands AV, Huber F, Sabia S, van Hees VT. GGIR: a research community–driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. J Meas Phys Behav . 2019;2:188–196. van Hees VT, Sabia S, Jones SE, et al. Estimating sleep parameters using an accelerometer without sleep diary. Sci Rep . 2018;8:1–11. Van Hees VT, Sabia S, Anderson KN, et al. A novel, open access method to assess sleep duration using a wrist-worn accelerometer. PLoS One . 2015;10:e0142533. Roenneberg T, Allebrandt KV, Merrow M, Vetter C. Social jetlag and obesity. Curr Biol . 2012;22:939–943. Winkler EA, Bodicoat DH, Healy GN, et al. Identifying adults' valid waking wear time by automated estimation in activPAL data collected with a 24 h wear protocol. Physiol Meas . 2016;37:1653–1668. Huang T, Redline S. Cross-sectional and prospective associations of actigraphy-assessed sleep regularity with metabolic abnormalities: the multi-ethnic study of atherosclerosis. Diabetes Care . 2019;42:1422–1429. Kantermann T, Duboutay F, Haubruge D, et al. The direction of shift-work rotation impacts metabolic risk independent of chronotype and social jetlag—an exploratory pilot study. Chronobiol Int . 2014;31:1139–1145. Hulsegge G, Loef B, van Kerkhof LW, Roenneberg T, van der Beek AJ, Proper KI. Shift work, sleep disturbances and social jetlag in healthcare workers. J Sleep Res . 2019;28:e12802. Koopman ADM, Rauh SP, van”t Riet E, et al. The association between social jetlag, the metabolic syndrome, and type 2 diabetes mellitus in the general population: the new Hoorn study. J Biol Rhythms . 2017;32:359–368. Slavish DC, Taylor DJ, Lichstein KL. Intraindividual variability in sleep and comorbid medical and mental health conditions. Sleep . 2019;42:1–11. Ohayon M, Wickwire EM, Hirshkowitz M, et al. National Sleep Foundation's sleep quality recommendations: first report. Sleep Health . 2017;3:6–19. Zhu G, Catt M, Cassidy S, et al. Objective sleep assessment in >80,000 UK mid-life adults: associations with sociodemographic characteristics, physical activity and caffeine. PLoS One . 2019;14:1–14. Matthews CE, Moore SC, Sampson J, et al. Mortality benefits for replacing sitting time with different physical activities. Med Sci Sport Exerc . 2015;47:1833–1840. Hall KS, Hyde ET, Bassett DR, et al. Systematic review of the prospective association of daily step counts with risk of mortality, cardiovascular disease, and dysglycemia. Int J Behav Nutr Phys Act . 2020;17:78. Makarem N, Zuraikat FM, Aggarwal B, Jelic S, St-Onge MP. Variability in sleep patterns: an emerging risk factor for hypertension. Curr Hypertens Rep . 2020;22:19. Folkard S. Do permanent night workers show circadian adjustment? A review based on the endogenous melatonin rhythm. Chronobiol Int . 2008;25(2–3):215–224. |
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 |
تدمد: | 1536-5948 |
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DOI: | 10.1097/JOM.0000000000002687 |