Gender differences among young drivers in the association between high-risk driving and substance use/environmental influences.
OBJECTIVE
The primary aim of this article is to assess young drivers' gender differences in the associations between substance use/environmental influences and high-risk driving behavior.


METHODS
We determine the association of 12th-grade self-reported substance use/ environmental influences with high-risk driving behavior as quantified by the number of offenses, serious offenses, crashes, and single-vehicle crashes on state driving records during subjects' (N = 3,607; 51% male) first 4 years of licensure.


RESULTS
The associations between high-risk driving and substance use/environmental influences were generally stronger among women than among men. When matched by substance-use profiles, women had fewer risky-driving incidents than men.


CONCLUSIONS
The results indicate that young women who exhibit high-risk driving behavior deviate more from the general population of young women with respect to alcohol use, alcohol misuse, and marijuana use than high-risk-driving young men differ from other young men. In addition, findings indicate that even if young men and women were to eventually have equal levels of substance use, women would likely retain their lower-risk driving profiles. These findings suggest the need for (1) future research to understand the differential associations, and (2) prevention programs that consider these gender differences.
Elliott
Michael R
MR
Department of Biostatistics, School of Public Health and Survey Research Center, University of Michigan, Ann Arbor, Michigan 48109-2150, USA.
Shope
Jean T
JT
Raghunathan
Trivellore E
TE
Waller
Patricia F
PF
D000063:Accidents, Traffic / Q000331:legislation & jurisprudence / Q000517:prevention & control / Q000523:psychology* / Q000706:statistics & numerical data*; D000293:Adolescent; D000428:Alcohol Drinking / Q000453:epidemiology / Q000331:legislation & jurisprudence / Q000517:prevention & control / Q000523:psychology; D001334:Automobile Driving / Q000193:education / Q000331:legislation & jurisprudence / Q000523:psychology* / Q000706:statistics & numerical data*; D003415:Crime / Q000331:legislation & jurisprudence / Q000517:prevention & control / Q000523:psychology / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D005260:Female; D006266:Health Education / Q000706:statistics & numerical data; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D002189:Marijuana Abuse / Q000453:epidemiology / Q000517:prevention & control / Q000523:psychology; D008824:Michigan; D012309:Risk-Taking; D012737:Sex Factors; D012907:Smoking / Q000453:epidemiology / Q000331:legislation & jurisprudence / Q000523:psychology; D000074606:Smoking Prevention; D012931:Social Environment; D012932:Social Facilitation; D013223:Statistics as Topic; D019966:Substance-Related Disorders / Q000453:epidemiology* / Q000517:prevention & control / Q000523:psychology*