Predicting risky and angry driving as a function of gender.
The present study was designed to examine putative risk factors of driving anger, traffic citations, and traffic-related injuries as a function of gender. Participants included 785 (65% men) drivers identified by the Washington State Department of Licensing. Just over half of participants (55%) were identified as high-risk drivers based on multiple traffic violations, whereas 45% were recruited from a random sample of drivers. Participants completed a mailed survey assessing indicators of risky driving and risk factors including sensation seeking, stressful events, negative affect, tobacco use, and drinking behavior. Hierarchical regression analysis was used to evaluate risky driving outcomes as a function of theoretically prioritized risk factors and to evaluate gender as a moderator. Overall, men reported more traffic citations and injuries, but did not differ from women in reported driving anger. All putative risk factors were associated with one or more indicators of risky driving. Moderation results revealed that the positive relationship between drinking frequency and driving anger was stronger for women. In contrast, typical number of drinks consumed was negatively associated with driving anger, which was also more evident for women. In addition, the positive association between sensation seeking and number of traffic citations was stronger among women.
Lonczak
Heather S
HS
Alcohol and Drug Abuse Institute, University of Washington, Seattle, WA 98105-4631, United States. hzak@u.washington.edu <hzak@u.washington.edu>
Neighbors
Clayton
C
Donovan
Dennis M
DM
D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000328:Adult; D000378:Agonistic Behavior; D000428:Alcohol Drinking / Q000453:epidemiology / Q000523:psychology; D000786:Anger; D001334:Automobile Driving / Q000523:psychology*; D003625:Data Collection; D005260:Female; D006801:Humans; D008297:Male; D008571:Men / Q000523:psychology*; D018570:Risk Assessment; D012307:Risk Factors; D012309:Risk-Taking; D012737:Sex Factors; D014861:Washington; D014930:Women / Q000523:psychology*