Identifying variables that predict falling asleep at the wheel in long-haul-truck drivers.
Heaton-K; Browning-S; Anderson-DG
AAOHN J 2008 Sep; 56(9):379-385
Analysis of data from 843 long-haul truck drivers was conducted to determine the variables that predicted falling asleep at the wheel. Demographics, sleep-specific questions, and the Epworth Sleepiness Scale were used for analysis. More than 25% of the participants (n = 247) scored 10 or higher on the Epworth Sleepiness Scale, indicating chronic sleepiness. Eight initial predictor variables were included in the logistic regression analysis. Four of the eight original variables were retained in the final model to predict falling asleep at the wheel within the past 12 months. Four variables were retained in the final model to predict falling asleep at the wheel within the past 30 days. Screening for excessive sleepiness using the Epworth Sleepiness Scale and an extensive history of medication use should be conducted for all long-haul truck drivers.
Alcoholic-beverages; Drug-abuse; Drugs; Mathematical-models; Occupational-exposure; Occupational-hazards; Quantitative-analysis; Questionnaires; Risk-factors; Sleep-deprivation; Sleep-disorders; Statistical-analysis; Stress; Truck-drivers; Trucking; Work-environment; Workplace-studies
AAOHN Journal - American Association of Occupational Health Nurses Journal
University of Kentucky