Alcohol-impaired driving continues to be a major public health concern, particularly among college students.
The current study examined whether sociodemographic, behavioral, and cognitive variables predicted alcohol-impaired driving in a sample of college students. Data were collected via telephone interviews from a random sample of undergraduates, ages 18-25 years old, stratified by sex and class in school.
Using hierarchical logistic regression analyses (n = 330), results revealed that higher levels of weekly alcohol use, being age 21 or older, and perceived difficulty in obtaining alternative transportation were associated with a greater likelihood of drinking and driving.
In addition, perceived likelihood of drinking and driving-related consequences was associated with a lower likelihood of drinking and driving.
Knowledge of the .08% per se and zero tolerance laws did not predict alcohol-impaired driving.
Findings are discussed in terms of their implications for college media campaigns designed to reduce alcohol-impaired driving.
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Request Reprint E-Mail: mark_wood @uri.edu
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The current study examined whether sociodemographic, behavioral, and cognitive variables predicted alcohol-impaired driving in a sample of college students. Data were collected via telephone interviews from a random sample of undergraduates, ages 18-25 years old, stratified by sex and class in school.
Using hierarchical logistic regression analyses (n = 330), results revealed that higher levels of weekly alcohol use, being age 21 or older, and perceived difficulty in obtaining alternative transportation were associated with a greater likelihood of drinking and driving.
In addition, perceived likelihood of drinking and driving-related consequences was associated with a lower likelihood of drinking and driving.
Knowledge of the .08% per se and zero tolerance laws did not predict alcohol-impaired driving.
Findings are discussed in terms of their implications for college media campaigns designed to reduce alcohol-impaired driving.
Read Full Abstract
Request Reprint E-Mail: mark_wood @uri.edu
_______________________________________________________________________