Hypersomnolence and accidents in truck drivers: A cross-sectional study

Hypersomnolence and accidents in truck drivers: A cross-sectional study

Author Pinho, Rachel S. N. de Google Scholar
Silva-Junior, Francisco P. da Google Scholar
Bastos, Joao Paulo C. Google Scholar
Maia, Werllen S. Google Scholar
Mello, Marco Tulio de Autor UNIFESP Google Scholar
Bruin, Veralice Meireles Sales de Autor UNIFESP Google Scholar
De Bruin, Pedro Felipe Carvalhedo Autor UNIFESP Google Scholar
Institution Univ Fed Ceara
Universidade Federal de São Paulo (UNIFESP)
CEMSA
Abstract Truck drivers are more likely to suffer severe injury and death due to certain truck driving characteristics. Identifying and preventing factors associated with accidents in this population is important to minimize damage and improve road safety. Excessive daytime sleepiness is a major public health problem, leading to impaired cognitive function, reduced alertness, and increased risk of motor vehicle crashes. the aim of this cross-sectional study was to determine the prevalence and predictors of hypersomnolence (defined as an Epworth Sleepiness Scale score greater than 10) among truck drivers. Three hundred male truck drivers were studied. Quality of sleep was assessed by the Pittsburgh Sleep Quality Index, and the association between demographic, clinical, and occupational data with excessive sleepiness was analyzed. the mean daily sleep duration was 5.6 +/- 1.3 h, and poor quality of sleep was found in 46.3% of the individuals. Hypersomnolence was found in 46% of the drivers and was associated with younger age, snoring, and working > 10 h without rest. A positive correlation between hypersomnolence and previous accidents was detected (p = 0.005). These results show that sleep deprivation and hypersomnolence are frequent among truck drivers. the treatment of sleep-disordered breathing and the implementation of educational programs, particularly targeting younger drivers and promoting increased awareness of the deleterious effects of sleep loss and work overload, may help to reduce hypersomnolence and accidents among truck drivers.
Keywords accidents
hypersomnolence
risk factors
sleep-disordered breathing
truck drivers
Language English
Date 2006-01-01
Published in Chronobiology International. Philadelphia: Taylor & Francis Inc, v. 23, n. 5, p. 963-971, 2006.
ISSN 0742-0528 (Sherpa/Romeo, impact factor)
Publisher Taylor & Francis Inc
Extent 963-971
Origin http://dx.doi.org/10.1080/07420520600920759
Access rights Closed access
Type Article
Web of Science ID WOS:000241173600004
URI http://repositorio.unifesp.br/handle/11600/28659

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