Sleep duration and sleep efficiency in UK long-distance heavy goods vehicle drivers

Aron Peter Sherry; Stacy A Clemes; Yu-Ling Chen; Charlotte Edwardson; Laura J Gray; Amber Guest; James King; Alex V Rowlands; Katharina Ruettger; Mohsen Sayyah; Veronica Varela-Mato; Iuliana Hartescu

doi:10.1136/oemed-2021-107643

Sleep duration and sleep efficiency in UK long-distance heavy goods vehicle drivers

Aron Peter Sherry, Stacy A Clemes, Yu-Ling Chen, Charlotte Edwardson, Laura J Gray, Amber Guest, James King, Alex V Rowlands, Katharina Ruettger, Mohsen Sayyah, Veronica Varela-Mato, Iuliana Hartescu

Applied Health Sciences

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Abstract
Objectives To profile sleep duration and sleep efficiency in UK long-distance heavy goods vehicle (HGV) drivers and explore demographic, occupational and lifestyle predictors of sleep.

Methods Cross-sectional analyses were carried out on 329 HGV drivers (98.5% men) recruited across an international logistics company within the midland’s region, UK. Sleep duration and efficiency were assessed via wrist-worn accelerometry (GENEActiv) over 8 days. Proportions of drivers with short sleep duration (<6 hour/24 hours and <7 hour/24 hours) and inadequate sleep efficiency (<85%) were calculated. Demographic, occupational and lifestyle data were collected via questionnaires and device-based measures. Logistic regression assessed predictors of short sleep duration and inadequate sleep efficiency.

Results 58% of drivers had a mean sleep duration of <6 hour/24 hours, 91% demonstrated <7-hour sleep/24 hours and 72% achieved <85% sleep efficiency. Sleeping <6 hour/24 hours was less likely in morning (OR 0.45, 95% CI 0.21 to 0.94) and afternoon (OR 0.24, CI 0.10 to 0.60) shift workers (vs night) and if never smoked (vs current smokers) (OR 0.45, CI –0.22 to 0.92). The likelihood of sleeping <7 hour/24 hours reduced with age (OR 0.92, CI 0.87 to 0.98). The likelihood of presenting inadequate sleep efficiency reduced with age (OR 0.96, CI 0.93 to 0.99) and overweight body mass index category (vs obese) (OR 0.47, CI 0.27 to 0.82).

Conclusions The high prevalence of short sleep duration and insufficient sleep quality (efficiency) rate suggest that many HGV drivers have increased risk of excessive daytime sleepiness, road traffic accidents and chronic disease. Future sleep research in UK HGV cohorts is warranted given the road safety and public health implications.

Original language	English
Pages (from-to)	109-115
Number of pages	7
Journal	Occupational and Environmental Medicine
Volume	79
Issue number	2
Early online date	19 Aug 2021
DOIs	https://doi.org/10.1136/oemed-2021-107643
Publication status	Published - 1 Feb 2022

Bibliographical note

Funding The data presented in this paper were collected as part of the ‘Structured Health Intervention For Truckers (SHIFT)’ randomised controlled trial, which is funded by the NIHR Public Health Research Programme (reference: NIHR PHR 15/190/42). The research was also supported by the NIHR Leicester Biomedical Research Centre. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Socia care.

Data Availability Statement

Data are available on reasonable request. Anonymised participants data were collected in a protected database and are available on reasonable request from AS (a.p.sherry@lboro.ac.uk).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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title = "Sleep duration and sleep efficiency in UK long-distance heavy goods vehicle drivers",

abstract = "AbstractObjectives To profile sleep duration and sleep efficiency in UK long-distance heavy goods vehicle (HGV) drivers and explore demographic, occupational and lifestyle predictors of sleep.Methods Cross-sectional analyses were carried out on 329 HGV drivers (98.5% men) recruited across an international logistics company within the midland{\textquoteright}s region, UK. Sleep duration and efficiency were assessed via wrist-worn accelerometry (GENEActiv) over 8 days. Proportions of drivers with short sleep duration (<6 hour/24 hours and <7 hour/24 hours) and inadequate sleep efficiency (<85%) were calculated. Demographic, occupational and lifestyle data were collected via questionnaires and device-based measures. Logistic regression assessed predictors of short sleep duration and inadequate sleep efficiency.Results 58% of drivers had a mean sleep duration of <6 hour/24 hours, 91% demonstrated <7-hour sleep/24 hours and 72% achieved <85% sleep efficiency. Sleeping <6 hour/24 hours was less likely in morning (OR 0.45, 95% CI 0.21 to 0.94) and afternoon (OR 0.24, CI 0.10 to 0.60) shift workers (vs night) and if never smoked (vs current smokers) (OR 0.45, CI –0.22 to 0.92). The likelihood of sleeping <7 hour/24 hours reduced with age (OR 0.92, CI 0.87 to 0.98). The likelihood of presenting inadequate sleep efficiency reduced with age (OR 0.96, CI 0.93 to 0.99) and overweight body mass index category (vs obese) (OR 0.47, CI 0.27 to 0.82).Conclusions The high prevalence of short sleep duration and insufficient sleep quality (efficiency) rate suggest that many HGV drivers have increased risk of excessive daytime sleepiness, road traffic accidents and chronic disease. Future sleep research in UK HGV cohorts is warranted given the road safety and public health implications.",

author = "Sherry, {Aron Peter} and Clemes, {Stacy A} and Yu-Ling Chen and Charlotte Edwardson and Gray, {Laura J} and Amber Guest and James King and Rowlands, {Alex V} and Katharina Ruettger and Mohsen Sayyah and Veronica Varela-Mato and Iuliana Hartescu",

note = "Funding The data presented in this paper were collected as part of the {\textquoteleft}Structured Health Intervention For Truckers (SHIFT){\textquoteright} randomised controlled trial, which is funded by the NIHR Public Health Research Programme (reference: NIHR PHR 15/190/42). The research was also supported by the NIHR Leicester Biomedical Research Centre. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Socia care.",

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day = "1",

doi = "10.1136/oemed-2021-107643",

language = "English",

volume = "79",

pages = "109--115",

journal = "Occupational and Environmental Medicine",

issn = "1351-0711",

publisher = "BMJ Publishing Group",

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TY - JOUR

T1 - Sleep duration and sleep efficiency in UK long-distance heavy goods vehicle drivers

AU - Sherry, Aron Peter

AU - Clemes, Stacy A

AU - Chen, Yu-Ling

AU - Edwardson, Charlotte

AU - Gray, Laura J

AU - Guest, Amber

AU - King, James

AU - Rowlands, Alex V

AU - Ruettger, Katharina

AU - Sayyah, Mohsen

AU - Varela-Mato, Veronica

AU - Hartescu, Iuliana

N1 - Funding The data presented in this paper were collected as part of the ‘Structured Health Intervention For Truckers (SHIFT)’ randomised controlled trial, which is funded by the NIHR Public Health Research Programme (reference: NIHR PHR 15/190/42). The research was also supported by the NIHR Leicester Biomedical Research Centre. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Socia care.

PY - 2022/2/1

Y1 - 2022/2/1

N2 - AbstractObjectives To profile sleep duration and sleep efficiency in UK long-distance heavy goods vehicle (HGV) drivers and explore demographic, occupational and lifestyle predictors of sleep.Methods Cross-sectional analyses were carried out on 329 HGV drivers (98.5% men) recruited across an international logistics company within the midland’s region, UK. Sleep duration and efficiency were assessed via wrist-worn accelerometry (GENEActiv) over 8 days. Proportions of drivers with short sleep duration (<6 hour/24 hours and <7 hour/24 hours) and inadequate sleep efficiency (<85%) were calculated. Demographic, occupational and lifestyle data were collected via questionnaires and device-based measures. Logistic regression assessed predictors of short sleep duration and inadequate sleep efficiency.Results 58% of drivers had a mean sleep duration of <6 hour/24 hours, 91% demonstrated <7-hour sleep/24 hours and 72% achieved <85% sleep efficiency. Sleeping <6 hour/24 hours was less likely in morning (OR 0.45, 95% CI 0.21 to 0.94) and afternoon (OR 0.24, CI 0.10 to 0.60) shift workers (vs night) and if never smoked (vs current smokers) (OR 0.45, CI –0.22 to 0.92). The likelihood of sleeping <7 hour/24 hours reduced with age (OR 0.92, CI 0.87 to 0.98). The likelihood of presenting inadequate sleep efficiency reduced with age (OR 0.96, CI 0.93 to 0.99) and overweight body mass index category (vs obese) (OR 0.47, CI 0.27 to 0.82).Conclusions The high prevalence of short sleep duration and insufficient sleep quality (efficiency) rate suggest that many HGV drivers have increased risk of excessive daytime sleepiness, road traffic accidents and chronic disease. Future sleep research in UK HGV cohorts is warranted given the road safety and public health implications.

AB - AbstractObjectives To profile sleep duration and sleep efficiency in UK long-distance heavy goods vehicle (HGV) drivers and explore demographic, occupational and lifestyle predictors of sleep.Methods Cross-sectional analyses were carried out on 329 HGV drivers (98.5% men) recruited across an international logistics company within the midland’s region, UK. Sleep duration and efficiency were assessed via wrist-worn accelerometry (GENEActiv) over 8 days. Proportions of drivers with short sleep duration (<6 hour/24 hours and <7 hour/24 hours) and inadequate sleep efficiency (<85%) were calculated. Demographic, occupational and lifestyle data were collected via questionnaires and device-based measures. Logistic regression assessed predictors of short sleep duration and inadequate sleep efficiency.Results 58% of drivers had a mean sleep duration of <6 hour/24 hours, 91% demonstrated <7-hour sleep/24 hours and 72% achieved <85% sleep efficiency. Sleeping <6 hour/24 hours was less likely in morning (OR 0.45, 95% CI 0.21 to 0.94) and afternoon (OR 0.24, CI 0.10 to 0.60) shift workers (vs night) and if never smoked (vs current smokers) (OR 0.45, CI –0.22 to 0.92). The likelihood of sleeping <7 hour/24 hours reduced with age (OR 0.92, CI 0.87 to 0.98). The likelihood of presenting inadequate sleep efficiency reduced with age (OR 0.96, CI 0.93 to 0.99) and overweight body mass index category (vs obese) (OR 0.47, CI 0.27 to 0.82).Conclusions The high prevalence of short sleep duration and insufficient sleep quality (efficiency) rate suggest that many HGV drivers have increased risk of excessive daytime sleepiness, road traffic accidents and chronic disease. Future sleep research in UK HGV cohorts is warranted given the road safety and public health implications.

UR - https://doi.org/10.1136/oemed-2021-107643

U2 - 10.1136/oemed-2021-107643

DO - 10.1136/oemed-2021-107643

M3 - Article

SN - 1351-0711

VL - 79

SP - 109

EP - 115

JO - Occupational and Environmental Medicine

JF - Occupational and Environmental Medicine

IS - 2

ER -

Sleep duration and sleep efficiency in UK long-distance heavy goods vehicle drivers

Abstract

Bibliographical note

Data Availability Statement

UN SDGs

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