Effectiveness of a Theory-Based mHealth Intervention for High-Risk Drinking in College Students

Bibliographic Data

ID21645295
AuthorsDonna M Kazemi (0000-0002-6497-0482, University of North Carolina at Charlotte, corresponding author), Brian Borsari (0000-0002-1491-7771, Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, California, USA), Maureen J Levine (Central Michigan University), Shaoyu Li (0000-0001-8280-6224, University of North Carolina at Charlotte), Mohamed Shehab (0000-0002-4189-9118, University of North Carolina at Charlotte), Fang Fang (0000-0001-6408-5910, University of North Carolina at Charlotte), Jerika C Norona (0000-0002-1249-2001, Addictions Research Program, Mental Illness Research, Education, and Clinical Center (MIRECC), San Francisco VA Health Care System & University of California, San Francisco, California, USA)
Year2020
Volume55
Issue10
Pages1667-1676
Publication date2020-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSubstance Use & Misuse (JOURNAL)
Journal identifiersISSN: 1082-6084 • E-ISSN: 1532-2491
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10826084.2020.1756851
PMID32394772
OpenAlexW3024858820
LanguageEN
Citations received3
References cited44

Background: College students are among the most vulnerable groups to problems associated with high-risk drinking consequences such as illness, injury, sexual abuse, and death. Promising mobile health (mHealth) approaches, such as smartphone (SP) apps, can be used in interventions to address or prevent excessive drinking. Method: The aim of the investigation was to examine the efficacy of a theoretically based mHealth SP app for alcohol intervention in two independent samples (N = 379): Mandated participants (Study 1) and voluntary participants (Study 2). Study 1 included a controlled trial with Mandated participants randomized into either an in-person Brief Motivational Interviewing BMI (n = 70) or BMI + SP app intervention (n = 71). Study 2 included Voluntary participants who participated in either a Control group (n = 157) or the BMI + SP app intervention (n = 81). Participants in both studies completed baseline and 6-week assessments. Results: In Study 1, peak Blood Alcohol Concentration (BAC) of participants in the in-person BMI group had increased slightly at six weeks, while it had decreased for the app-based BMI + SP group. Study 2 participants using the BMI + SP app reported significant reductions in drinking and consequences; there were no changes in the (AO) Control group. Conclusions: The BMI + SP app was effective with both Mandated and Voluntary participants. Future testing with the BMI + SP app is needed to assess whether reach, adoptability, portability, and sustainability are greater with the mHealth smartphone app for alcohol intervention than in-person approaches

Binge drinking · Environmental health · Injury prevention · mHealth · Motivational interviewing · Poison control · Psychiatry · Psychological intervention · Randomized controlled trial · Behavioral Health and Interventions · Clinical Psychology · Impact of Technology on Adolescents · Medicine · Mobile Health and mHealth Applications · Psychology · Internal Medicine

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