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Assessment of Sleep Deprivation and Fatigue Among Chemical Transportation Drivers in Chonburi, Thailand

BACKGROUND: Fatigue and sleepiness are inter-related and common among road transport drivers. In this study, sleep deprivation and fatigue among chemical transportation drivers were examined. METHODS: A cross-sectional study surveying 107 drivers from three hazardous types of chemical production and...

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Autores principales: Phatrabuddha, Nantaporn, Yingratanasuk, Tanongsak, Rotwannasin, Piti, Jaidee, Wanlop, Krajaiklang, Narin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Occupational Safety and Health Research Institute 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005926/
https://www.ncbi.nlm.nih.gov/pubmed/29928529
http://dx.doi.org/10.1016/j.shaw.2017.06.014
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author Phatrabuddha, Nantaporn
Yingratanasuk, Tanongsak
Rotwannasin, Piti
Jaidee, Wanlop
Krajaiklang, Narin
author_facet Phatrabuddha, Nantaporn
Yingratanasuk, Tanongsak
Rotwannasin, Piti
Jaidee, Wanlop
Krajaiklang, Narin
author_sort Phatrabuddha, Nantaporn
collection PubMed
description BACKGROUND: Fatigue and sleepiness are inter-related and common among road transport drivers. In this study, sleep deprivation and fatigue among chemical transportation drivers were examined. METHODS: A cross-sectional study surveying 107 drivers from three hazardous types of chemical production and transportation industries (nonflammable gases, flammable gases, and flammable liquids) was conducted. Data on sleep deprivation were collected using questionnaires of the Stanford Sleeping Scale and the Groningen Sleep Quality Scale. Fatigue was assessed using an interview questionnaire and a flicker fusion instrument. RESULTS: Chemical drivers had a mean sleeping scale (Stanford Sleeping Scale) of 1.98 (standard deviation 1.00) and had a mean score of 1.89 (standard deviation 2.06) on the Groningen Sleep Quality Scale. High-risk drivers had higher scores in both the Stanford Sleeping Scale and the Groningen Sleep Quality Scale with a mean score of 2.59 and 4.62, respectively, and those differences reached statistical significance (p < 0.05). The prevalence of fatigue, as assessed through a critical flicker fusion analyzer, subjective fatigue question, and either of the instruments, was 32.32%, 16.16%, and 43.43%, respectively. Drivers who slept <7 hours and had poor sleep quality were found to have more fatigue than those who slept enough and well. Drivers who had a more sleepiness score resulted in significantly more objective fatigue than those who had a less sleepiness score. CONCLUSION: Sleep quality and sleeping hour can affect a driver's fatigue. Optimization of work–rest model should be considered to improve productivity, driver retention, and road safety.
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spelling pubmed-60059262018-06-20 Assessment of Sleep Deprivation and Fatigue Among Chemical Transportation Drivers in Chonburi, Thailand Phatrabuddha, Nantaporn Yingratanasuk, Tanongsak Rotwannasin, Piti Jaidee, Wanlop Krajaiklang, Narin Saf Health Work Original Article BACKGROUND: Fatigue and sleepiness are inter-related and common among road transport drivers. In this study, sleep deprivation and fatigue among chemical transportation drivers were examined. METHODS: A cross-sectional study surveying 107 drivers from three hazardous types of chemical production and transportation industries (nonflammable gases, flammable gases, and flammable liquids) was conducted. Data on sleep deprivation were collected using questionnaires of the Stanford Sleeping Scale and the Groningen Sleep Quality Scale. Fatigue was assessed using an interview questionnaire and a flicker fusion instrument. RESULTS: Chemical drivers had a mean sleeping scale (Stanford Sleeping Scale) of 1.98 (standard deviation 1.00) and had a mean score of 1.89 (standard deviation 2.06) on the Groningen Sleep Quality Scale. High-risk drivers had higher scores in both the Stanford Sleeping Scale and the Groningen Sleep Quality Scale with a mean score of 2.59 and 4.62, respectively, and those differences reached statistical significance (p < 0.05). The prevalence of fatigue, as assessed through a critical flicker fusion analyzer, subjective fatigue question, and either of the instruments, was 32.32%, 16.16%, and 43.43%, respectively. Drivers who slept <7 hours and had poor sleep quality were found to have more fatigue than those who slept enough and well. Drivers who had a more sleepiness score resulted in significantly more objective fatigue than those who had a less sleepiness score. CONCLUSION: Sleep quality and sleeping hour can affect a driver's fatigue. Optimization of work–rest model should be considered to improve productivity, driver retention, and road safety. Occupational Safety and Health Research Institute 2018-06 2017-07-08 /pmc/articles/PMC6005926/ /pubmed/29928529 http://dx.doi.org/10.1016/j.shaw.2017.06.014 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Phatrabuddha, Nantaporn
Yingratanasuk, Tanongsak
Rotwannasin, Piti
Jaidee, Wanlop
Krajaiklang, Narin
Assessment of Sleep Deprivation and Fatigue Among Chemical Transportation Drivers in Chonburi, Thailand
title Assessment of Sleep Deprivation and Fatigue Among Chemical Transportation Drivers in Chonburi, Thailand
title_full Assessment of Sleep Deprivation and Fatigue Among Chemical Transportation Drivers in Chonburi, Thailand
title_fullStr Assessment of Sleep Deprivation and Fatigue Among Chemical Transportation Drivers in Chonburi, Thailand
title_full_unstemmed Assessment of Sleep Deprivation and Fatigue Among Chemical Transportation Drivers in Chonburi, Thailand
title_short Assessment of Sleep Deprivation and Fatigue Among Chemical Transportation Drivers in Chonburi, Thailand
title_sort assessment of sleep deprivation and fatigue among chemical transportation drivers in chonburi, thailand
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005926/
https://www.ncbi.nlm.nih.gov/pubmed/29928529
http://dx.doi.org/10.1016/j.shaw.2017.06.014
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