Literature DB >> 30422781

A Meta-Analysis of Computer-Delivered Drinking Interventions for College Students: A Comprehensive Review of Studies From 2010 to 2016.

Hayley A Cole1, Hannah B Prassel1, Charles R Carlson1.   

Abstract

OBJECTIVE: Computer-delivered drinking interventions (CDIs) are administered to tens of thousands of college students each year, yet recent evidence for their efficacy has not been summarized. This meta-analysis extends the work of past reviews and investigates the efficacy of CDIs in reducing college students' alcohol consumption and alcohol-related harms.
METHOD: Following the systematic review standards set by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), the literature was searched for published and unpublished data available from 2010 to 2016. We reviewed 35 randomized controlled trials (64 CDIs, N = 20,068, 57% female) that compared CDIs with control conditions for college students and calculated between- and within-groups weighted mean effect sizes. We analyzed effects at three follow-up assessment points (short term = ≤6 weeks, intermediate term = 7-26 weeks, long term = ≥27 weeks).
RESULTS: Within-group effect sizes showed that CDI participants did make reductions in drinking over time; however, between-groups effect sizes revealed that these effects rarely differed from those of control participants. CDIs were associated with very small but statistically significant reductions in quantity (d = 0.06, 95% CI [0.02, 0.10]) and frequency (d = 0.07, 95% CI [0.02, 0.12]) of alcohol consumption when compared with controls at short-term follow-up. However, at intermediate (d = -0.07, 95% CI [-0.11, -0.02]) and long-term follow-ups (d = -0.06, 95% CI [-0.12, -0.01]), CDIs were associated with statistically significantly more alcohol-related problems than controls.
CONCLUSIONS: Computer-delivered drinking interventions result in small reductions in college students' alcohol consumption over time. However, these interventions rarely reduce drinking more than controls and may be associated with some increased risk of harm over time.

Entities:  

Mesh:

Year:  2018        PMID: 30422781

Source DB:  PubMed          Journal:  J Stud Alcohol Drugs        ISSN: 1937-1888            Impact factor:   2.582


  7 in total

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Authors:  Cassandra L Boness; Ashley C Helle; Mary Beth Miller; Melissa Gordon Wolf; Kenneth J Sher
Journal:  J Stud Alcohol Drugs       Date:  2022-09       Impact factor: 3.346

4.  Understanding Heterogeneity Among Simultaneous Alcohol and Marijuana Users: Latent Classes Derived From Daily Diary Data.

Authors:  Stephanie T Lanza; Alexander W Sokolovsky; Ashley N Linden-Carmichael; Helene R White; Kristina M Jackson
Journal:  J Stud Alcohol Drugs       Date:  2022-05       Impact factor: 3.346

5.  Descriptive Norms but not Harm Reduction Strategies as a Mediator of Personalized Boosters After a Computerized College Drinking Intervention.

Authors:  Abby L Braitman; Cathy Lau-Barraco
Journal:  Alcohol Clin Exp Res       Date:  2019-12-11       Impact factor: 3.455

6.  Effects of an automated digital brief prevention intervention targeting adolescents and young adults with risky alcohol and other substance use: study protocol for a randomised controlled trial.

Authors:  Pia Kvillemo; Anna K Strandberg; Johanna Gripenberg; Anne H Berman; Charlotte Skoglund; Tobias H Elgán
Journal:  BMJ Open       Date:  2020-05-12       Impact factor: 2.692

7.  Think-Aloud Testing of a Novel Safer Drinking App for College Students During COVID-19: Usability Study.

Authors:  Jessica Gomez Smith; Nour Sami Alamiri; Grace Biegger; Christina Frederick; Jennifer P Halbert; Karen S Ingersoll
Journal:  JMIR Form Res       Date:  2022-02-17
  7 in total

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