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
Institution
Title
Sleepiness, near-misses and driving accidents among a representative population of French drivers.
Journal
Journal of sleep research
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
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