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Providing Web-Based Feedback and Social Norms Information to Reduce Student Alcohol Intake: A Multisite Investigation

机译:提供基于网络的反馈和社会规范信息,以减少学生的饮酒量:一项多地点调查

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Background: Unhealthy alcohol use among university students is cause for concern, yet the level of help seeking behavior for alcohol use is low within the student population. Electronic brief interventions delivered via the Internet present an alternative to traditional treatments and could enable the delivery of interventions on a population basis. Further evidence is needed of the effectiveness of Internet-delivered interventions and of their generalizability across educational institutions.Objective: Our objective was to evaluate the effectiveness across 4 UK universities of a Web-based intervention for student alcohol use.Methods: In total, 1112 participants took part. Participants were stratified by educational institution, gender, age group, year of study, and self-reported weekly consumption of alcohol and randomly assigned to either the control arm or to the immediate or delayed intervention arms. Intervention participants gained access to the intervention between weeks 1 to 7 or weeks 8 to 15, respectively. The intervention provided electronic personalized feedback and social norms information on drinking behavior accessed by logging on to a website. Participants registered interest by completing a brief screening questionnaire and were then asked to complete 4 further assessments across the 24 weeks of the study. Assessments included a retrospective weekly drinking diary, the Alcohol Use Disorders Identification Test (AUDIT), and a readiness-to-change algorithm. The outcome variable was the number of units of alcohol consumed in the last week. The effect of treatment arm and time on units consumed last week and average units consumed per drinking occasion were investigated using repeated measures multivariate analysis of covariance (MANCOVA). In addition, the data were modeled using a longitudinal regression with time points clustered within students.Results: MANCOVA revealed a main effect of time on units of alcohol consumed over the last week. A longitudinal regression model showed an effect of assessment across time predicting that participants who completed at least 2 assessments reduced their drinking. The model predicted an additional effect of being assigned to an intervention arm, an effect that increased across time. Regression analysis predicted that being male or being assigned to an intervention arm increased the odds of not completing all assessments. The number of units of alcohol consumed over the last week at registration, age, university educational institution, and readiness to change were not predictive of completion.Conclusions: Delivering an electronic personalized feedback intervention to students via the Internet can be effective in reducing weekly alcohol consumption. The effect does not appear to differ by educational institution. Our model suggested that monitoring alone is likely to reduce weekly consumption over 24 weeks but that consumption could be further reduced by providing access to a Web-based intervention. Further research is needed to understand the apparent therapeutic effect of monitoring and how this can be utilized to enhance the effectiveness of brief Web-based interventions.
机译:背景:大学生中不健康的饮酒问题令人担忧,但是在学生中寻求饮酒行为的帮助水平很低。通过互联网提供的电子简短干预是传统治疗的替代方法,可以使干预以人群为基础。需要进一步的证据来证明互联网提供的干预措施的有效性及其在整个教育机构中的普遍性。目的:我们的目标是评估英国4所大学对基于网络的学生饮酒干预措施的有效性。方法:总计1112参加者参加了。参加者按教育机构,性别,年龄组,学习年份和自我报告的每周饮酒量进行分层,并随机分配到控制组或立即或延迟干预组。干预参与者分别在第1至7周或第8至15周之间获得了干预措施。该干预措施通过登录网站提供了有关饮酒行为​​的电子个性化反馈和社会规范信息。参加者通过填写简短的筛选问卷来表示兴趣,然后要求他们在研究的24周内完成4项进一步的评估。评估包括回顾性每周饮酒日记,酒精使用障碍识别测试(AUDIT)和更改准备算法。结果变量是上周消耗的酒精单位数。使用重复测量的协方差多变量分析(MANCOVA),研究了治疗臂和时间对上周消耗单位和每次饮酒时间平均消耗单位的影响。此外,使用纵向回归对数据进行建模,并在学生中聚集时间点。结果:MANCOVA揭示了时间对过去一周内饮酒单位的主要影响。纵向回归模型显示了整个时间评估的效果,预测完成至少两次评估的参与者会减少饮酒。该模型预测了分配给干预部门的其他效果,该效果随着时间的推移而增加。回归分析预测,男性或被分配到干预部门会增加未完成所有评估的几率。上周在注册,年龄,大学教育机构和更改准备就绪时所消耗的酒精单位数不能预测完成。结论:通过互联网向学生提供电子个性化反馈干预措施可以有效减少每周的酒精摄入量消费。效果似乎因教育机构而异。我们的模型表明,仅通过监视就可以减少24周内的每周消耗量,但是可以通过提供基于Web的干预措施来进一步减少消耗量。需要进一步的研究来了解监测的明显治疗效果,以及如何利用它来增强基于Web的简短干预措施的有效性。

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