@Article{信息:doi 10.2196 / / jmir。1461年，作者=“Bewick, Bridgette M和West, Robert和Gill, Jan和O'May, Fiona和Mulhern, Brendan和Barkham, Michael和Hill, Andrew J”，标题=“提供基于网络的反馈和社会规范信息以减少学生酒精摄入量:一项多站点调查”，期刊=“J Med Internet Res”，年=“2010”，月=“12”，日=“19”，卷=“12”，数=“5”，页=“e59”，关键词=“学生;电子健康;短暂的干预;酒精;背景:大学生中不健康的酒精使用引起了关注，但在学生群体中，酒精使用的帮助寻求行为的水平很低。通过互联网提供的电子简短干预是传统治疗的一种替代方案，并可以在人口基础上提供干预措施。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以及它们在教育机构中的普遍性。目的:我们的目的是评估英国4所大学对学生饮酒进行网络干预的有效性。方法:共1112人参与。 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. ", issn="1438-8871", doi="10.2196/jmir.1461", url="//www.mybigtv.com/2010/5/e59/", url="https://doi.org/10.2196/jmir.1461", url="http://www.ncbi.nlm.nih.gov/pubmed/21169171" }