Efficacy of a web-based, tailored, alcohol prevention/intervention program for college students: initial findings.
OBJECTIVE
Reduce college student at-risk drinking (ARD) using a Web-based brief motivational alcohol prevention/intervention called Michigan Prevention and Alcohol Safety for Students (M-PASS).


METHODS
Participants included 1,137 randomly sampled first-year college students, including 59% female, 80% white, and averaged age 18.1 years.


METHODS
Intervention group participants (n = 616) attended 4 online M-PASS sessions, receiving feedback tailored to individual drinking patterns and concepts from 4 behavior change theories. Control group participants (n = 521) completed a mid-phase survey, and both groups were surveyed at baseline and posttest.


RESULTS
Evidence of M-PASS's efficacy was found. The intervention was associated with advanced stage of change, lower tolerance of drinking and drink/driving, fewer reasons to drink, and use of more strategies to avoid ARD. Preliminary evidence of behavioral change was also found. Efficacy was greater for women than men.


CONCLUSIONS
Web-based programs may be useful in reducing alcohol-related risk among college students. Further evaluation is needed.
Bingham
C Raymond
CR
Transportation Research Institute at the University of Michigan, Ann Arbor, Michigan 48109, USA. rbingham@umich.edu
Barretto
Andrea Ippel
AI
Walton
Maureen A
MA
Bryant
Christopher M
CM
Shope
Jean T
JT
Raghunathan
Trivellore E
TE
D000293:Adolescent; D000428:Alcohol Drinking / Q000453:epidemiology / Q000517:prevention & control*; D000437:Alcoholism / Q000453:epidemiology; D016001:Confidence Intervals; D005260:Female; D006801:Humans; D020407:Internet; D016015:Logistic Models; D008297:Male; D008824:Michigan / Q000453:epidemiology; D016017:Odds Ratio; D016730:Program Development; D015397:Program Evaluation; D012307:Risk Factors; D012309:Risk-Taking; D012737:Sex Factors; D013334:Students / Q000706:statistics & numerical data*; D011795:Surveys and Questionnaires; D013997:Time Factors; D014495:Universities / Q000706:statistics & numerical data*