Center for Alcohol and Addiction Studies.
Statistical and Data Sciences Program.
Psychol Addict Behav. 2018 Dec;32(8):914-921. doi: 10.1037/adb0000402. Epub 2018 Sep 27.
A burgeoning area of research is using social network analysis to investigate college students' substance use behaviors. However, little research has incorporated students' perceived peer drinking norms into these analyses. The present study investigated the association between social network characteristics, alcohol use, and alcohol-related consequences among first-year college students ( = 1,342; 81% of the first-year class) at one university. The moderating role of descriptive norms was also examined. Network characteristics and descriptive norms were derived from participants' nominations of up to 10 other students who were important to them; individual network characteristics included popularity (indegree), network expansiveness (outdegree), relationship reciprocity, and network density. Descriptive norms were defined as participants' average perceived binge drinking frequency among their nominated peers. Network autocorrelation models revealed that indegree and descriptive norms were positively associated with participants' average number of drinks per week, binge drinking frequency, and alcohol-related consequences. Indegree and outdegree interacted with descriptive norms, such that when participants perceived less frequent binge drinking among their peers, outdegree was associated with less alcohol consumption but not consequences. When participants perceived more frequent binge drinking among their peers, indegree and outdegree were associated with more alcohol consumption but not consequences. The present results suggest that being popular and believing that heavy episodic drinking is normative among one's peers are associated with greater alcohol risk. Further, alcohol risks associated with nominating more peers may be enhanced or lessened depending on students' peer drinking norms. Implications for future research and interventions are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
一个蓬勃发展的研究领域是利用社交网络分析来调查大学生的物质使用行为。然而,很少有研究将学生对同伴饮酒规范的感知纳入这些分析中。本研究调查了一所大学一年级学生(n = 1342;占一年级班级的 81%)的社交网络特征、饮酒和与酒精相关的后果之间的关联。还研究了描述性规范的调节作用。网络特征和描述性规范是根据参与者提名的最多 10 名对他们重要的其他学生得出的;个人网络特征包括受欢迎程度(入度)、网络扩展性(出度)、关系互惠性和网络密度。描述性规范被定义为参与者在提名的同伴中感知到的平均 binge 饮酒频率。网络自相关模型显示,入度和描述性规范与参与者每周平均饮酒量、 binge 饮酒频率和与酒精相关的后果呈正相关。入度和出度与描述性规范相互作用,当参与者感知到同伴 binge 饮酒频率较低时,出度与饮酒量减少但与后果无关。当参与者感知到同伴 binge 饮酒频率较高时,入度和出度与饮酒量增加但与后果无关。本研究结果表明,受欢迎程度和相信自己的同伴中有大量的暴饮行为与更高的酒精风险有关。此外,与提名更多同伴相关的酒精风险可能会根据学生的同伴饮酒规范而增强或减弱。讨论了对未来研究和干预的影响。(PsycINFO 数据库记录(c)2018 APA,保留所有权利)。