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Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study

BACKGROUND: Commercial vehicle accidents are the leading cause of occupational fatalities and an increased risk of traffic accidents is associated with excessive fatigue, other health problems as well as poor sleep during work. This study explores individual and occupational factors associated with...

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Autores principales: Ahn, Yong Han, Lee, Sangeun, Kim, Su Ryeon, Lim, Jeeyeon, Park, So Jin, Kwon, Sooyoung, Kim, Heejung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571888/
https://www.ncbi.nlm.nih.gov/pubmed/34740335
http://dx.doi.org/10.1186/s12889-021-12062-3
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author Ahn, Yong Han
Lee, Sangeun
Kim, Su Ryeon
Lim, Jeeyeon
Park, So Jin
Kwon, Sooyoung
Kim, Heejung
author_facet Ahn, Yong Han
Lee, Sangeun
Kim, Su Ryeon
Lim, Jeeyeon
Park, So Jin
Kwon, Sooyoung
Kim, Heejung
author_sort Ahn, Yong Han
collection PubMed
description BACKGROUND: Commercial vehicle accidents are the leading cause of occupational fatalities and an increased risk of traffic accidents is associated with excessive fatigue, other health problems as well as poor sleep during work. This study explores individual and occupational factors associated with different levels of daytime sleepiness and identifies their association with driving risk among occupational drivers working at construction sites. METHODS: This cross-sectional and correlational study adopted a self-reported questionnaire of Korean construction drivers (N = 492). The data were collected from October 2018 to February 2019 using a battery of six validated instruments about participants’ sociodemographic, health-related, and occupational characteristics. One-way ANOVA and multinomial logistic regression were conducted using IBM SPSS WIN/VER 25.0, with a two-tailed alpha of .05. RESULTS: Based on the Epworth Sleepiness Scale, “moderate” (31.7%) and “severe” (10.2%) daytime sleepiness groups were identified. There were significant differences in break time, driving fatigue, depressive symptom, subjective sleep quality, physical and mental health, and driving risk among the three groups (all p-values < .001). Driving fatigue (Adjusted Odds Ratio [aOR] = 1.08, 1.17), depressive symptoms (aOR = 0.91, 0.98), subjective sleep quality (aOR = 1.18 in moderate only), and driving over the speed limit (aOR = 1.43, 2.25) were significant factors for determining “moderate” and “severe” daytime sleepiness groups, respectively. CONCLUSION: A significant number of construction drivers experience excessive daytime sleepiness; thus it is important to reduce the negative impact of driving fatigue and other factors on daytime sleepiness. Our study findings suggest that occupational health care providers should pay attention to development and implementation of health management interventions to reduce driving fatigue that incorporate the drivers’ physical, mental, and occupational factors. Professional organizations need to establish internal regulations and public policies to promote health and safety among occupational drivers who specifically work at construction sites.
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spelling pubmed-85718882021-11-08 Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study Ahn, Yong Han Lee, Sangeun Kim, Su Ryeon Lim, Jeeyeon Park, So Jin Kwon, Sooyoung Kim, Heejung BMC Public Health Research BACKGROUND: Commercial vehicle accidents are the leading cause of occupational fatalities and an increased risk of traffic accidents is associated with excessive fatigue, other health problems as well as poor sleep during work. This study explores individual and occupational factors associated with different levels of daytime sleepiness and identifies their association with driving risk among occupational drivers working at construction sites. METHODS: This cross-sectional and correlational study adopted a self-reported questionnaire of Korean construction drivers (N = 492). The data were collected from October 2018 to February 2019 using a battery of six validated instruments about participants’ sociodemographic, health-related, and occupational characteristics. One-way ANOVA and multinomial logistic regression were conducted using IBM SPSS WIN/VER 25.0, with a two-tailed alpha of .05. RESULTS: Based on the Epworth Sleepiness Scale, “moderate” (31.7%) and “severe” (10.2%) daytime sleepiness groups were identified. There were significant differences in break time, driving fatigue, depressive symptom, subjective sleep quality, physical and mental health, and driving risk among the three groups (all p-values < .001). Driving fatigue (Adjusted Odds Ratio [aOR] = 1.08, 1.17), depressive symptoms (aOR = 0.91, 0.98), subjective sleep quality (aOR = 1.18 in moderate only), and driving over the speed limit (aOR = 1.43, 2.25) were significant factors for determining “moderate” and “severe” daytime sleepiness groups, respectively. CONCLUSION: A significant number of construction drivers experience excessive daytime sleepiness; thus it is important to reduce the negative impact of driving fatigue and other factors on daytime sleepiness. Our study findings suggest that occupational health care providers should pay attention to development and implementation of health management interventions to reduce driving fatigue that incorporate the drivers’ physical, mental, and occupational factors. Professional organizations need to establish internal regulations and public policies to promote health and safety among occupational drivers who specifically work at construction sites. BioMed Central 2021-11-05 /pmc/articles/PMC8571888/ /pubmed/34740335 http://dx.doi.org/10.1186/s12889-021-12062-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ahn, Yong Han
Lee, Sangeun
Kim, Su Ryeon
Lim, Jeeyeon
Park, So Jin
Kwon, Sooyoung
Kim, Heejung
Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study
title Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study
title_full Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study
title_fullStr Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study
title_full_unstemmed Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study
title_short Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study
title_sort factors associated with different levels of daytime sleepiness among korean construction drivers: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571888/
https://www.ncbi.nlm.nih.gov/pubmed/34740335
http://dx.doi.org/10.1186/s12889-021-12062-3
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