# Personalized mobile app intervention: Challenging alcohol expectancies to reduce high-risk alcohol use and consequences > **NIH NIH R01** · UNIVERSITY OF WASHINGTON · 2021 · $447,338 ## Abstract PROJECT SUMMARY / ABSTRACT Alcohol is the most prevalent psychoactive substance used by students in post-secondary education and is associated with a variety of short- and long-term negative consequences. Although many students experience negative consequences, some continue to drink at problematic levels. The present proposal extends a program of research focused on understanding daily process models of alcohol expectancies, alcohol use, and related consequences by developing a mobile phone intervention for community college and 4-year college students. Our prior work (R01AA016979, PI Lee) examined how expectancies influence drinking and consequences later that day; how learning might take place when examining the influence of consequences on future expectations of alcohol's effects; and for whom these relationships exist. We collected data three times a day for 2 weeks in each of four quarters across 1 year. We found important links between daily alcohol expectancies and next-day high-risk alcohol use and between daily consequences and next-day expectancies. Overall, findings have important implications for timing of intervention delivery to target daily expectancies. The present study tests an intervention based on these findings, with real-time feedback using individuals' daily expectancies, use, and consequences, and builds on two NIAAA-endorsed strategies for addressing high-risk college student drinking: challenging alcohol-related expectancies, traditionally done through in-vivo experimental designs, and electronic personalized feedback. Limitations of in-vivo alcohol expectancy challenge (AEC) interventions include low utilization due to lack of feasibility for widespread implementation. Therefore, the present competing renewal application will design a mobile phone application (app) for data collection and intervention. This electronic, mobile AEC (mAEC) intervention is designed to challenge daily- level alcohol expectancies and reduce high-risk drinking and negative consequences. We will incorporate methods and results from our prior R01 to develop mAEC, which will be implemented daily across 14 days with follow-ups through 12 months. The mAEC will provide personalized, daily feedback based on students' drinking intentions, alcohol expectancies, and consequences. A sample of 450 high-risk college drinkers from both community and 4-year colleges will be recruited and randomized to one of two conditions to compare the efficacy of the mAEC and an assessment-only control (AOC) condition. Specific aims are to examine (1) the efficacy of the mAEC intervention relative to AOC, (2) global expectancies as mediators of intervention efficacy, and (3) whether the intervention weakens the daily link between positive expectancies and consequences and strengthens the daily link between negative expectancies and consequences. The mAEC intervention has the potential to have a major impact on the field because it will be scalable and easily disseminated... ## Key facts - **NIH application ID:** 10231223 - **Project number:** 5R01AA016979-09 - **Recipient organization:** UNIVERSITY OF WASHINGTON - **Principal Investigator:** CHRISTINE M Lee - **Activity code:** R01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2021 - **Award amount:** $447,338 - **Award type:** 5 - **Project period:** 2010-04-01 → 2024-04-30 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10231223 ## Citation > US National Institutes of Health, RePORTER application 10231223, Personalized mobile app intervention: Challenging alcohol expectancies to reduce high-risk alcohol use and consequences (5R01AA016979-09). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10231223. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*