Reducing Hazardous Alcohol Use in Social Networks using Targeted Intervention

摘要 此申请是R01AA023522的续订。第一个资金周期的目的是评估 大学生饮酒行为的短暂动机干预的间接效应 完善的社交网络。我们在一所大学录取了90%(N=1489)的一年级学生，并进行了后续调查 术后5个月和12个月的就诊率分别为98%和96%。这项研究的所有目标都达到了，包括建立 作为干预目标的饮酒者，因为他们与其他酗酒者有最佳的联系，所以会做出反应 BMI(与自然历史对照；NHC相比)，并且组差异(BMI与NHC)是 在没有接受干预的酗酒者中检测到，支持间接饮酒的概念 干预效果。与社交网络文献一致的是，社交网络文学理论认为， 个人可以传播给其他人，本研究的目的是评估是否间接 在建立友谊的时候，可以在年龄较大的学生中检测到干预效果，大多数 学生处于法定饮酒年龄，大多数人住在校园外，那里与酒精相关的风险最高。在后者中 在大学期间，初出茅庐的成年人也会在学术、职业和社会心理方面取得进步 区域。我们将招收一个新的学年(预计N=1310)，并采用两组设计，其中 饮酒的学生被随机分配到BMI或NHC。一种网络节点选择算法 在当前研究中创建的将确定每个集群中最具影响力的成员，其中包含25%的Heavy 饮酒者总体上，N=每组75人。在BMI组中，这些网络成员将在#年春季收到BMI 他们的大三加上更新的个性化反馈，作为他们大四秋季的助推器，旨在 解决大部分学生搬离校园的风险；那些被NHC选中的学生将不会获得 联系。该网络的所有参与者将在毕业后的最后一年和秋季接受跟踪。 我们的目标是(1)调查这种干预的间接影响，即确定亲密的朋友 在接受干预的酗酒者中，也从中受益，(2)确定社会影响 干预接受者影响其他酗酒者的机制，(3)确定网络和 干预最有效的关系条件，以及(4)确定 干预、酒精使用的相关变化和网络因素影响发育转变 对年轻人来说至关重要。此次更新将利用对社交网络的纵向评估 随着网络成员的发展，连接、相关的对等交互和个人网络成员的物质使用 从大学中期到毕业以后。拥有酗酒和人脉关系的数据提供了一个 无与伦比的机会来确定风险因素是如何在成年初期通过同伴关系传播的 在不同的风险时期成熟，并确定是否可以利用这些影响来降低 在整个社区范围内与酒精相关的风险。

ABSTRACT This application is a renewal for R01AA023522. The aims of the first cycle of funding were to evaluate the indirect effect of a Brief Motivational Intervention (BMI) for hazardous alcohol use among college students in a complete social network. We enrolled 90% (N = 1489) of the first-year class at one university, with follow-up rates of 98% and 96% at 5 and 12 months. All goals of the study were met, including establishing that heavy drinkers targeted for intervention because they are optimally connected to other heavy drinkers are responsive to a BMI (compared to Natural History Controls; NHC), and that group differences (BMI vs. NHC) are detectable among heavy drinkers who received no intervention, supporting the concept of an indirect intervention effect. Consistent with the social network literature that theorizes that changes in behavior among individuals can be transmitted to others, the purpose of this renewal study is to evaluate whether indirect intervention effects can be detected in older students at a time when friendships are established, most students are of legal drinking age, and most live off campus where alcohol-related risks are highest. In the later college years, emerging adults also progress through transitions in academic, vocational, and psychosocial areas. We will enroll a new class year (anticipated N = 1310), and use a two-group design in which heavy drinking clusters of students are randomly assigned to either BMI or NHC. A network node selection algorithm created in the current study will identify the most influential members of each cluster comprising 25% of heavy drinkers overall, N = 75 per group. In the BMI group these network members will receive a BMI in the spring of their junior year plus updated personalized feedback as a booster in the fall of their senior year, intended to address risks when a large percent of students move off campus; those selected in NHC will receive no contact. All participants in the network will be followed through their senior year and in the fall after graduation. Our aims are to (1) investigate the indirect effects of this intervention, that is, determine whether close friends of the heavy drinkers who receive the intervention benefit from it as well, (2) identify the social influence mechanisms through which the intervention recipients affect other heavy drinkers, (3) identify the network and relationship conditions under which the intervention is the most effective, and (4) determine whether the intervention, associated changes in alcohol use, and network factors influence developmental transitions critical for young adults. This renewal will capitalize on longitudinal assessment of the social network connections, associated peer interactions, and individual network members' substance use as they evolve from the mid-college to beyond graduation. Having data on alcohol involvement and network ties provides an unparalleled opportunity to identify how risk factors are transmitted through peer relationships as early adults mature through different times of risk, and determine whether those influences can be leveraged to reduce alcohol-related risk community wide.