The investigators propose to examine mornings after drinking as an optimal time to provide repeated, personalized feedback, with the goal of reducing hazardous drinking. Specifically, the investigators will further develop and pilot test a novel theory-based personalized feedback intervention (PFI) for heavy drinking young adults. Intervention strategies include personalized feedback (e.g., feedback on prior night blood alcohol concentration, consequences) contrasted with both drinking goals set at baseline and corrective normative feedback (e.g., how last night's drinking compares to peers). Up to 170 participants (50% non-college) will be randomized to one of three groups: PFI with monetary incentives for daily surveys, PFI without monetary incentives, or survey assessment only. The investigators will examine recruitment rates, retention rates, confirmation of intervention content delivery/intake, response rates to daily surveys, data quality, and ratings of intervention value. Investigators will test whether these indicators of engagement differ between those who do and do not receive monetary incentives for daily surveys. Further, baseline, post-test, and 3-month follow-up assessments will allow us to examine differences in drinking behavior between PFI and control. The results of the proposed research will result in a novel and scalable intervention for alcohol misuse among young adults, with potential to have an important impact on the public health problem of high-risk drinking.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
drinks per week
Timeframe: post-test (end of 4-week intervention) and 3-month follow-up (3 months after end of intervention)
heavy drinking frequency
Timeframe: post-test (end of 4-week intervention) and 3-month follow-up (3 months after end of intervention)
negative alcohol consequences
Timeframe: post-test (end of 4-week intervention) and 3-month follow-up (3 months after end of intervention)