Sleepiness, near-misses and driving accidents among a representative population of French drivers.

Details

Serval ID
serval:BIB_238F0D0C1FFD
Type
Article: article from journal or magazin.
Collection
Publications
Title
Sleepiness, near-misses and driving accidents among a representative population of French drivers.
Journal
Journal of sleep research
Author(s)
Sagaspe P., Taillard J., Bayon V., Lagarde E., Moore N., Boussuge J., Chaumet G., Bioulac B., Philip P.
ISSN
1365-2869 (Electronic)
ISSN-L
0962-1105
Publication state
Published
Issued date
12/2010
Peer-reviewed
Oui
Volume
19
Number
4
Pages
578-584
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Study objectives were to determine the prevalence of sleepy driving accidents and to explore the factors associated with near-miss driving accidents and actual driving accidents in France. An epidemiological survey based on telephone interviews was conducted on a representative sample of French drivers. The questionnaire included sociodemographics, driving and sleep disorder items, and the Epworth sleepiness scale. Of 4774 drivers (response rate: 86%), 28% experienced at least one episode of severe sleepiness at the wheel (i.e. requiring to stop driving) in the previous year; 11% of drivers reported at least one near-miss accident in the previous year (46% sleep-related); 5.8% of drivers reported at least one accident, 5.2% of these being sleep related (an estimate of 90,000 sleep-related accidents per year in France). Sleepy driving accidents occurred more often in the city (53.8%), during short trips (84.6%) and during the day (84.6%). Using logistic regression, the best predictive factor for near-misses was the occurrence of at least one episode of severe sleepiness at the wheel in the past year [odds ratio (OR) 6.50, 95% confidence interval (CI), 5.20-8.12, P < 0.001]. The best predictive factors for accidents were being young (18-30 years; OR 2.13, 95% CI, 1.51-3.00, P < 0.001) and experiencing at least one episode of severe sleepiness at the wheel (OR 2.03, 95% CI, 1.57-2.64, P < 0.001). Sleepiness at the wheel is a risk factor as important as age for traffic accidents. Near-misses are highly correlated to sleepiness at the wheel and should be considered as strong warning signals for future accidents.
Keywords
Accidents, Traffic/psychology, Accidents, Traffic/trends, Adolescent, Adult, Age Factors, Aged, Arousal, Automobile Driving/psychology, Automobile Driving/statistics & numerical data, Confidence Intervals, Fatigue/psychology, Female, France/epidemiology, Humans, Logistic Models, Male, Middle Aged, Odds Ratio, Regression Analysis, Sex Factors, Young Adult
Pubmed
Web of science
Create date
04/10/2022 12:13
Last modification date
05/10/2022 5:42
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