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Related Experiment Video

Updated: Jul 4, 2026

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
05:40

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans

Published on: April 28, 2022

Computer-based interventions for college drinking: a qualitative review.

Jennifer C Elliott1, Kate B Carey, Jamie R Bolles

  • 1Center for Health and Behavior, Syracuse University, Syracuse, NY 13244, USA. jcelliot@syr.edu

Addictive Behaviors
|June 10, 2008
PubMed
Summary
This summary is machine-generated.

Electronically based interventions (e-interventions) show promise for reducing college alcohol use. Studies suggest these digital health tools are effective, particularly compared to assessment-only controls, with potential moderators like drinking patterns identified.

Related Experiment Videos

Last Updated: Jul 4, 2026

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
05:40

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans

Published on: April 28, 2022

Area of Science:

  • Digital Health
  • Public Health Interventions
  • Substance Use Research

Background:

  • Electronically based interventions (e-interventions) are increasingly utilized.
  • College alcohol use remains a significant public health concern.
  • E-interventions have been applied to address college drinking behaviors.

Purpose of the Study:

  • To review randomized controlled trials (RCTs) evaluating e-interventions for college alcohol use.
  • To assess the effectiveness of e-interventions compared to traditional methods and control groups.
  • To identify potential moderators and mediators influencing intervention outcomes.

Main Methods:

  • Systematic review of seventeen published randomized controlled trials (RCTs) up to August 2007.
  • Comparison of e-interventions against reading materials and assessment-only control conditions.
  • Analysis of potential influencing factors such as baseline drinking patterns and corrected drinking norms.

Main Results:

  • Findings indicate that e-interventions offer some support for reducing college alcohol consumption.
  • E-interventions demonstrated greater effectiveness when compared to assessment-only control groups.
  • Baseline drinking patterns and corrected drinking norms emerged as potential moderators and mediators.

Conclusions:

  • E-interventions represent a viable approach for addressing college alcohol use.
  • Further research is needed to explore limitations and optimize intervention strategies.
  • Digital health tools show potential for scalable public health interventions in higher education.