Department of Psychology, Boston University, 648 Beacon St., Boston, MA 02215, USA.
Addict Behav. 2011 May;36(5):539-42. doi: 10.1016/j.addbeh.2011.01.005. Epub 2011 Jan 20.
Web-based screening and brief interventions that include personalized feedback about their alcohol use have proven to be particularly promising for reducing hazardous drinking among university students. Despite the increasing use of these approaches, there is still relatively little known about how the content of these interventions may influence outcomes and who may benefit most from these approaches. The current study sought to address these issues by examining how individual differences in alcohol consequences influence outcomes of a laboratory-based computerized intervention.
One-hundred and nineteen introductory psychology students who either had two episodes of heavy episodic drinking in the past month or scored ≥8 on the AUDIT participated in this randomized controlled trial for course credit. Participants were assigned to 1 of 4 conditions in this 2 Intervention (Alcohol Feedback vs. Control)×2 Assessment (Motivational Assessment vs. No Motivational Assessment) between-subjects design. Quantity of alcohol consumed per week and heavy episodic drinking one month later were the primary dependent variables.
Controlling for corresponding baseline alcohol measures, hierarchical linear regression analyses showed a significant interaction between intervention condition and baseline alcohol-related consequences. For those who reported more alcohol consequences at baseline, the alcohol intervention resulted in significantly less alcohol use and fewer heavy drinking episodes at follow-up, while no difference was observed between intervention conditions for those with few baseline consequences. Assessment did not moderate intervention effects.
These findings suggest that a feedback-based computerized intervention that includes normative information about alcohol use and consequences may be more effective for hazardous drinking students who are experiencing higher levels of alcohol-related consequences.
基于网络的筛查和简短干预措施，包括对其饮酒情况的个性化反馈，已被证明对减少大学生的危险饮酒特别有希望。尽管这些方法的使用越来越多，但对于这些干预措施的内容如何影响结果以及谁可能从这些方法中受益最多，人们仍然知之甚少。本研究通过检查个体在酒精后果方面的差异如何影响基于实验室的计算机干预的结果来解决这些问题。
119 名参加入门心理学课程的学生，要么在过去一个月中有两次重度饮酒发作，要么在 AUDIT 上的得分≥8，他们参加了这项随机对照试验，以获得课程学分。在这个 2 干预（酒精反馈与对照）×2 评估（动机评估与无动机评估）的被试间设计中，参与者被分配到 4 个条件中的 1 个。每周饮酒量和一个月后重度饮酒发作的数量是主要的因变量。
控制相应的基线酒精测量，层次线性回归分析显示干预条件和基线酒精相关后果之间存在显著的交互作用。对于那些在基线时报告更多酒精后果的人来说，酒精干预在随访时导致饮酒量显著减少，重度饮酒发作次数减少，而对于基线后果较少的人来说，干预条件之间没有差异。评估并没有调节干预效果。
这些发现表明，一种基于反馈的计算机化干预措施，包括关于酒精使用和后果的规范信息，对于那些经历更高水平酒精相关后果的危险饮酒学生可能更有效。
