Pre-College Matriculation Risk Profiles and Freshman Drinking Trajectories

描述（由申请人提供）：2007年NIAAA预防和减少未成年人饮酒行动呼吁的目标之一是促进对大学生酒精消费的理解，在发展框架中考虑青少年的个人特征。为此，大学酒精预防的病因学工作已经确定了与未成年人饮酒相关的几个社会心理变量，包括酒精预期、感知规范和社会影响（Borsari等人，2007; Read等人，2005; Sher &拉特利奇，2007）。此外，已经建立了大学期间大量饮酒的模式（Del博卡等人，2004; Goudriaan等人，2007年）。然而，很少有人知道大学预科入学心理社会变量的自然模式如何影响学生在大学第一年的不同时间点的高风险饮酒。目前的建议的目的是研究如何大学预科入学变量影响大学饮酒使用的数据从目前资助的NIAAA项目（R 01 AA 015737）。第一个目的是使用潜在的配置文件分析（LPA），以检查自然发生的模式，大学前的心理社会风险变量。LPA允许根据这些心理社会变量创建不同的学生亚组，这些学生因酗酒而受到的伤害升高。第二个目的是检查大一学生大量饮酒的模式，并确定学生最容易受到酒精伤害的时间点。第三个目的是使用一个一般的增长混合模型来研究如何形成的学生风险亚组从大学前的变量影响学生在大一的饮酒模式。该提案的公共卫生相关性包括根据大学预科变量确定可能处于酒精相关伤害风险升高的学生亚组。此外，拟议的研究将确定在大学第一年期间每个亚组的伤害可能最高的不同时间点。早期识别有风险的学生是有针对性的干预方法的组成部分，其中将适当的干预措施与参与者相匹配被视为大大提高干预效果并降低与无差别分配相关的成本的一种方式（King等人，2008.

DESCRIPTION (provided by applicant): One of the goals of the 2007 NIAAA Call to Action to Prevent and Reduce Underage Drinking is to promote an understanding of college student alcohol consumption in a developmental framework that accounts for individual adolescent characteristics. Toward this end, etiological work in college alcohol prevention has identified several psychosocial variables related to underage drinking including alcohol expectancies, perceived norms, and social influences (Borsari et al., 2007; Read et al., 2005; Sher & Rutledge, 2007). In addition, patterns of heavy alcohol use during the college experience have been established (Del Boca et al., 2004; Goudriaan et al., 2007). However, little is known about how natural patterns of pre-college matriculation psychosocial variables influence students' high-risk drinking at various points during their first year of college. The aims of the current proposal are to examine how pre-college matriculation variables influence college drinking using data from a currently funded NIAAA project (R01 AA015737). The first aim is to use latent profile analysis (LPA) to examine naturally occurring patterns of pre-college psychosocial risk variables. LPA allows for the creation of distinct subgroups of students who are at elevated harm for alcohol abuse based on these psychosocial variables. The second aim is to examine patterns of heavy drinking among first year college students and identify points in time that students are at the most risk for alcohol harm. The third aim is to use a general growth mixture model to examine how the student risk subgroups formed from pre-college variables influence the drinking patterns of students during their freshmen year. The public health relevance of this proposal includes identifying subgroup of students who may be at elevated risk of alcohol-related harm based on pre-college variables. Additionally, the proposed research will identify the different points in time where harm may be the highest for each subgroup during the course of the first year in college. The early identification of at risk students is an integral part of a targeted intervention approach where matching appropriate interventions to participants is viewed as a way to greatly increase intervention efficacy and reduce costs associated with indiscriminate distribution (King et al., 2008.