Cargando…
Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study
Background: Fatigued driving is one of the leading factors contributing to road crashes in the trucking industry. The nature of trucking, prolonged working time, and irregular sleep patterns can negatively impact drivers’ health and wellbeing. However, there is limited research in Australia investig...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916394/ https://www.ncbi.nlm.nih.gov/pubmed/36768095 http://dx.doi.org/10.3390/ijerph20032732 |
_version_ | 1784886115271966720 |
---|---|
author | Ren, Xinyi Pritchard, Elizabeth van Vreden, Caryn Newnam, Sharon Iles, Ross Xia, Ting |
author_facet | Ren, Xinyi Pritchard, Elizabeth van Vreden, Caryn Newnam, Sharon Iles, Ross Xia, Ting |
author_sort | Ren, Xinyi |
collection | PubMed |
description | Background: Fatigued driving is one of the leading factors contributing to road crashes in the trucking industry. The nature of trucking, prolonged working time, and irregular sleep patterns can negatively impact drivers’ health and wellbeing. However, there is limited research in Australia investigating the impact of demographic, occupational, or lifestyle factors on fatigue among truck drivers. Objective: This cross-sectional study examines the role of demographic, occupational, lifestyle, and other health risk factors associated with fatigue among Australian truck drivers. Method: This study was part of a larger study that used a short online survey with a follow-up telephone survey to capture in-depth information on a wide range of determinants related to truck drivers’ physical and mental health outcomes. Fatigue was measured by three questions, including the frequency of fatigue, fatigue management training, and strategies used to combat fatigue. Multivariate regression analysis was used to determine the specific impact of demographics, occupational factors, lifestyle factors, and other health risk factors on fatigue. Results: In total, 332 drivers completed both the online and telephone surveys; 97% were male, representing drivers from broad age groups and professional experience. The odds of being in the high-risk fatigue group were nearly three times higher in drivers who worked 40–60 h compared to those who worked < 40 h. Poor sleep increased the odds of high-risk fatigue by seventimes (95% CI: 2.26–21.67, p = 0.001). Drivers who reported experiencing loneliness also had double the odds of being at high risk of fatigued driving. Conclusions: The increased risk of fatigue in truck drivers is associated with prolonged working hours, poor sleep, and social aspects such as loneliness. Further interventions seeking to reduce driver fatigue should consider the impact of work schedules, the availability of quality sleeping spaces, and the level of social connections. |
format | Online Article Text |
id | pubmed-9916394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99163942023-02-11 Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study Ren, Xinyi Pritchard, Elizabeth van Vreden, Caryn Newnam, Sharon Iles, Ross Xia, Ting Int J Environ Res Public Health Article Background: Fatigued driving is one of the leading factors contributing to road crashes in the trucking industry. The nature of trucking, prolonged working time, and irregular sleep patterns can negatively impact drivers’ health and wellbeing. However, there is limited research in Australia investigating the impact of demographic, occupational, or lifestyle factors on fatigue among truck drivers. Objective: This cross-sectional study examines the role of demographic, occupational, lifestyle, and other health risk factors associated with fatigue among Australian truck drivers. Method: This study was part of a larger study that used a short online survey with a follow-up telephone survey to capture in-depth information on a wide range of determinants related to truck drivers’ physical and mental health outcomes. Fatigue was measured by three questions, including the frequency of fatigue, fatigue management training, and strategies used to combat fatigue. Multivariate regression analysis was used to determine the specific impact of demographics, occupational factors, lifestyle factors, and other health risk factors on fatigue. Results: In total, 332 drivers completed both the online and telephone surveys; 97% were male, representing drivers from broad age groups and professional experience. The odds of being in the high-risk fatigue group were nearly three times higher in drivers who worked 40–60 h compared to those who worked < 40 h. Poor sleep increased the odds of high-risk fatigue by seventimes (95% CI: 2.26–21.67, p = 0.001). Drivers who reported experiencing loneliness also had double the odds of being at high risk of fatigued driving. Conclusions: The increased risk of fatigue in truck drivers is associated with prolonged working hours, poor sleep, and social aspects such as loneliness. Further interventions seeking to reduce driver fatigue should consider the impact of work schedules, the availability of quality sleeping spaces, and the level of social connections. MDPI 2023-02-03 /pmc/articles/PMC9916394/ /pubmed/36768095 http://dx.doi.org/10.3390/ijerph20032732 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ren, Xinyi Pritchard, Elizabeth van Vreden, Caryn Newnam, Sharon Iles, Ross Xia, Ting Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study |
title | Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study |
title_full | Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study |
title_fullStr | Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study |
title_full_unstemmed | Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study |
title_short | Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study |
title_sort | factors associated with fatigued driving among australian truck drivers: a cross-sectional study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916394/ https://www.ncbi.nlm.nih.gov/pubmed/36768095 http://dx.doi.org/10.3390/ijerph20032732 |
work_keys_str_mv | AT renxinyi factorsassociatedwithfatigueddrivingamongaustraliantruckdriversacrosssectionalstudy AT pritchardelizabeth factorsassociatedwithfatigueddrivingamongaustraliantruckdriversacrosssectionalstudy AT vanvredencaryn factorsassociatedwithfatigueddrivingamongaustraliantruckdriversacrosssectionalstudy AT newnamsharon factorsassociatedwithfatigueddrivingamongaustraliantruckdriversacrosssectionalstudy AT ilesross factorsassociatedwithfatigueddrivingamongaustraliantruckdriversacrosssectionalstudy AT xiating factorsassociatedwithfatigueddrivingamongaustraliantruckdriversacrosssectionalstudy |