Tailored Web Program to Reduce At-Risk College Drinking

描述（由申请人提供）：非常需要有效的干预措施，以防止/减少风险饮酒（ARD;数量和频率的组合，使一个人的健康处于危险之中）未成年大学本科生。目前，在美国，平均每天有三名大学生死于与酒精有关的车祸，而数千名大学生是与酒精有关的暴力和袭击的受害者，并通过ARD冒着健康和职业未来的风险。本研究将实现以下目标。1)开发一个理论导向的四节课，基于网络的定制简短的动机干预，以预防/减少未成年新生大学生中的ARD（即，18至20岁）。从密歇根大学新生班招募和随机分配研究参与者到定制的简短干预（TBI）或仅网络调查（WSO）条件将发生在一个学年的前两个月。两种情况下的参与者将被询问相同的基线，定制和后续问题，并将访问研究网站相同的次数，但只有TBI组将接受定制的干预会议。TBI消息将根据每个TBI组成员的人口统计学、ARD水平和行为变化特征进行定制，并且在四个会话期间将根据需要测量制定干预消息所需的定制信息。两组患者将在6个月、12个月和18个月时进行简短的基于网络的调查。2)通过比较TBI组和WSO组在基线、干预后6个月、12个月和18个月的ARD结局，评价基于网络的TBI减少ARD的疗效。最终样本量计划为540例。将测试干预措施的主要效果和与性别的相互作用。3)确定参与者的基线ARD行为和态度：在网络上完成1，2，3和4次干预/控制会话;并完成6，12和18个月的随访。这项研究将审查参与和辍学的预测因素。如果有效，可以廉价地修改拟议的干预措施，以向大量大学生和其他人群提供有效的干预措施，并针对其他健康风险行为。

DESCRIPTION (provided by applicant): Great need is evident for effective interventions to prevent/reduce at-risk drinking (ARD; combinations of quantity and frequency that place one's health at risk) among underage college undergraduate students. Currently in the United States an average of three college students die each day in alcohol-related car crashes, while thousands more are victims of alcohol-related violence and assault, and risk their health and professional futures through ARD. This study will address the following Aims. 1) Develop a theory-directed four-session, web-based tailored brief motivational intervention to prevent/reduce ARD among underage freshmen college students (i.e., aged 18 through 20 years). Recruitment and random assignment of study participants from the University of Michigan freshmen class to either a Tailored Brief Intervention (TBI) or web survey only (WSO) condition will occur in the first two months of one academic year. Participants in both conditions will be asked the same baseline, tailoring and follow-up questions and will visit the study website the same number of times, but only the TBI group will receive the tailored intervention sessions. TBI messages will be tailored on each TBI group member's demographics, ARD level, and behavior change characteristics, and tailoring information needed to formulate the intervention messages will be measured as needed during the four sessions. Both groups will be followed-up with a brief Web-based survey at six, 12, and 18 months. 2) Evaluate the efficacy of the web-based TBI to reduce ARD by comparing the TBI and WSO groups on ARD outcomes at baseline, six, 12, and 18 months post intervention. The final sample size is planned to be 540. Intervention main effects and interactions with sex will be tested. 3) Identify the baseline ARD behaviors and attitudes of participants who: complete 1, 2, 3, and four intervention/control sessions on the Web; and complete the 6-, 12-, and 18-month follow-ups. The study will examine predictors of participation and dropout. If effective, the proposed intervention could be inexpensively modified to deliver effective interventions to large numbers of university students, members of other populations, and to target other health risk behaviors.