Sleep, sleepiness and motor vehicle accidents: a national survey

Aust N Z J Public Health. 2005 Feb;29(1):16-21. doi: 10.1111/j.1467-842x.2005.tb00742.x.

Abstract

Objective: To assess the role of sleep-related factors, ethnicity and socioeconomic deprivation in self-reported motor vehicle accidents while driving, after controlling for gender, age and driving exposure.

Methods: Mail survey to a random electoral roll sample of 10,000 people aged 30-60 years, stratified by age decades and ethnicity (71% response rate). The analytical sample included 5,534 current drivers (21.6% Maori men, 21.2% Maori women, 30% non-Maori men, 27.2% non-Maori women).

Results: Multiple logistic regression analyses revealed the following independent risk factors for accident involvement while driving (last three years): being younger; higher average weekly driving hours; never/rarely getting enough sleep (OR=1.26, 95% CI 1.06-1.49); reporting any chance of dozing in a car while stopped in traffic (Epworth Sleepiness Scale question 8, OR=1.52, 95% CI 1.15-2.02); and among women, being non-Maori. Total Epworth score was not significantly related to reported accident involvement.

Conclusions: Chronic sleep restriction, and any likelihood of dozing off at the wheel of a motor vehicle, were significant independent predictors of self-reported involvement in all types of motor vehicle accidents, not only those identified as fatigue-related. The Epworth Sleepiness Scale alone is not a reliable clinical tool for identifying individuals at higher risk of crashes.

Implications: Factors relating to chronic sleepiness were as important as established demographic risk factors for self-reported motor vehicle accident involvement among 30-60 year-old drivers. The findings reinforce the need for multi-faceted campaigns to reduce sleepy driving.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Traffic / mortality
  • Accidents, Traffic / statistics & numerical data*
  • Adult
  • Age Distribution
  • Cross-Sectional Studies
  • Dyssomnias / diagnosis*
  • Dyssomnias / epidemiology*
  • Fatigue / diagnosis
  • Fatigue / epidemiology*
  • Female
  • Humans
  • Incidence
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • New Zealand / epidemiology
  • Risk Assessment
  • Severity of Illness Index
  • Sex Distribution
  • Sleep / physiology
  • Surveys and Questionnaires
  • Survival Rate