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Identifying variables that predict falling asleep at the wheel in long-haul-truck drivers.

Authors
Heaton-K; Browning-S; Anderson-DG
Source
AAOHN J 2008 Sep; 56(9):379-385
NIOSHTIC No.
20038932
Abstract
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.
Keywords
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
CODEN
AAJOEP
Publication Date
20080901
Document Type
Journal Article
Funding Type
Grant
Fiscal Year
2008
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-007931
Issue of Publication
9
ISSN
0891-0162
Source Name
AAOHN Journal - American Association of Occupational Health Nurses Journal
State
KY
Performing Organization
University of Kentucky
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