title: Predictors of psychostimulant use by long-distance truck drivers.
abstract: Two national cross-sectional surveys of fatigue and its effects in long-distance road transport in Australia showed that stimulant use was a common feature of this industry. Between one in five and one in three drivers reported using stimulants at least sometimes, and a significant proportion reported stimulant use as a most helpful fatigue management strategy. This study reanalyzed the surveys with the aim of identifying predictors of stimulant drug use by drivers. The surveys were administered in 1991 (n = 970) and 1998 (n = 1,007) by interview and self-administration. Logistic regression analysis conducted separately for each survey showed that stimulant drug use was twice as likely for drivers who had the greatest problem in managing fatigue and was two to three times more likely for drivers paid on a payment-by-results or contingency-payment basis. Younger, less experienced drivers were also more likely to take drugs. This analysis demonstrates the involvement of external factors, especially productivity-based payment systems, in stimulant drug use by truck drivers; findings were confirmed in two separate surveys conducted 7 years apart. Results highlight the important role of economic and organizational factors in occupational health and safety problems.
authors: New South Wales Injury Risk Management Research Centre, University of New South Wales, Sydney, NSW, Australia. a.williamson@unsw.edu.au
authors: Ann
authors: A
authors: Williamson
mesh_terms: D000062:Accidents, Occupational / Q000517:prevention & control / Q000706:statistics & numerical data; D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data; D001315:Australia / Q000453:epidemiology; D001334:Automobile Driving; D000697:Central Nervous System Stimulants / Q000008:administration & dosage*; D003430:Cross-Sectional Studies; D005221:Fatigue / Q000453:epidemiology / Q000517:prevention & control*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D012307:Risk Factors; D012456:Salaries and Fringe Benefits / Q000706:statistics & numerical data; D019966:Substance-Related Disorders / Q000453:epidemiology; D011795:Surveys and Questionnaires
chemical_list: D000697:Central Nervous System Stimulants