Megan E Patrick1, Grace R Lyden2, Nicole Morrell3, Christopher J Mehus3, Meredith Gunlicks-Stoessel4, Christine M Lee5, Cheryl A King6, Erin E Bonar, Inbal Nahum-Shani1, Daniel Almirall1, Mary E Larimer5, David M Vock2. 1. Survey Research Center, Institute for Social Research, University of Michigan. 2. Division of Biostatistics, University of Minnesota. 3. Center for Applied Research and Educational Improvement, College of Education and Human Development, University of Minnesota. 4. Department of Psychiatry & Behavioral Sciences, University of Minnesota. 5. Department of Psychiatry and Behavioral Sciences, Center for the Study of Health and Risk Behaviors, University of Washington. 6. Department of Psychiatry, University of Michigan.
Abstract
Objective: The goal was to develop a universal and resource-efficient adaptive preventive intervention (API) for incoming first-year students as a bridge to indicated interventions to address alcohol-related risks. The aims were to examine: (a) API versus assessment-only control, (b) the different APIs (i.e., 4 intervention sequences) embedded in the study design, and (c) moderators of intervention effects on binge drinking. Method: A sequential multiple assignment randomized trial (SMART) included two randomizations: timing (summer before vs. first semester) of universal personalized normative feedback and biweekly self-monitoring and, for heavy drinkers, bridging strategy (resource email vs. health coaching invitation). Participants (N = 891, 62.4% female, 76.8% White) were surveyed at the end of first and second semesters. The primary outcome was binge drinking frequency (4+/5+ drinks for females/males); secondary outcomes were alcohol consequences and health services utilization. Results: API (vs. control) was not significantly associated with outcomes. There were no differences between embedded APIs. Among heavy drinkers, the resource email (vs. health coach invitation) led to greater health services utilization. Moderator analyses suggested students intending to pledge into Greek life benefited more from any API (vs. control; 42% smaller increase from precollege in binge drinking frequency). Conclusions: Although overall effects were not significant, students at high risk (i.e., entering fraternities/sororities) did benefit more from the intervention. Furthermore, the resource email was effective for heavier drinkers. A technology-based strategy to deliver targeted resource-light interventions for heavy drinkers may be effective for reducing binge drinking during the transition to college. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Objective: The goal was to develop a universal and resource-efficient adaptive preventive intervention (API) for incoming first-year students as a bridge to indicated interventions to address alcohol-related risks. The aims were to examine: (a) API versus assessment-only control, (b) the different APIs (i.e., 4 intervention sequences) embedded in the study design, and (c) moderators of intervention effects on binge drinking. Method: A sequential multiple assignment randomized trial (SMART) included two randomizations: timing (summer before vs. first semester) of universal personalized normative feedback and biweekly self-monitoring and, for heavy drinkers, bridging strategy (resource email vs. health coaching invitation). Participants (N = 891, 62.4% female, 76.8% White) were surveyed at the end of first and second semesters. The primary outcome was binge drinking frequency (4+/5+ drinks for females/males); secondary outcomes were alcohol consequences and health services utilization. Results: API (vs. control) was not significantly associated with outcomes. There were no differences between embedded APIs. Among heavy drinkers, the resource email (vs. health coach invitation) led to greater health services utilization. Moderator analyses suggested students intending to pledge into Greek life benefited more from any API (vs. control; 42% smaller increase from precollege in binge drinking frequency). Conclusions: Although overall effects were not significant, students at high risk (i.e., entering fraternities/sororities) did benefit more from the intervention. Furthermore, the resource email was effective for heavier drinkers. A technology-based strategy to deliver targeted resource-light interventions for heavy drinkers may be effective for reducing binge drinking during the transition to college. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Authors: David Huh; Eun-Young Mun; Mary E Larimer; Helene R White; Anne E Ray; Isaac C Rhew; Su-Young Kim; Yang Jiao; David C Atkins Journal: Alcohol Clin Exp Res Date: 2015-05 Impact factor: 3.455
Authors: Inbal Nahum-Shani; Daniel Almirall; Jamie R T Yap; James R McKay; Kevin G Lynch; Elizabeth A Freiheit; John J Dziak Journal: Psychol Methods Date: 2019-07-18
Authors: Carlos Blanco; Mayumi Okuda; Crystal Wright; Deborah S Hasin; Bridget F Grant; Shang-Min Liu; Mark Olfson Journal: Arch Gen Psychiatry Date: 2008-12
Authors: Kimberly M Caldeira; Sarah J Kasperski; Eva Sharma; Kathryn B Vincent; Kevin E O'Grady; Eric D Wish; Amelia M Arria Journal: J Subst Abuse Treat Date: 2009-06-23