Social Network Effects in the Context of Adolescent Risk Behaviors

青少年危险行为背景下的社交网络效应

• 批准号: 8263895
• 负责人: Harold D. Green
• 金额: $ 39.54万
• 依托单位: RAND CORPORATION
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-15 至 2016-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8263895
• 关键词: 20 year old; Address; Adolescent; Adolescent Risk Behavior; Affect; Alcohol or Other Drugs use; Alcohols; Behavior; Collaborations; Data; Data Collection; Data Set; Drug usage; Ego; Family; Friendships; Funding; Goals; Health; Health behavior; Illinois; Information Networks; Knowledge; Link; Longitudinal Studies; Measures; Methodology; Methods; Modeling; Neighborhoods; Network-based; Participant; Pathway Analysis; Patient Self-Report; Pharmaceutical Preparations; Play; Prevention program; Problem behavior; Process; Psychosocial Factor; Recruitment Activity; Research; Research Design; Research Personnel; Risk Factors; Role; Schools; Shapes; Social Behavior; Social Environment; Social Network; Statistical Models; Students; Technology; Testing; Tobacco; United States National Institutes of Health; Universities; Youth; base; cohort; design; high school; improved; innovation; interest; network models; novel; peer; peer influence; psychosocial; public health research; response; theories

DESCRIPTION (provided by applicant): We propose to: (1) address "fundamental questions about social networks in relation to health and health-related behaviors"; and (2) "develop innovative methodologies and technologies to facilitate, improve, and expand the capabilities of SNA" by employing innovative network analytic methods and state-of-the-art modeling approaches to better understand school-based peer network effects on substance use behaviors from 6th-12th grade. Using an ecological framework, we will develop models linking AOD use to peer networks and other important features of the social context. School-level analyses, dyadic analyses, trajectory analyses and longitudinal co-evolutionary models for networks and behavior will examine how school-based peer network effects are related to substance use, allowing us to determine which effects are common across those behaviors. Integrating network data into models that facilitate an ecological perspective and modeling network effects alongside other known psychosocial risk factors will help us understand how peers influence substance use behaviors more fully than ever before. The proposed study is the first to compare complete and ego-centered study designs to assess whether and how network data collection strategies introduce error and affect analyses relating observed social behaviors (e.g., friendship) to aspects of health (e.g., AOD use). As such, it promises to significantly improve our understanding of these designs, facilitating their use and expanding their application. We have the unique opportunity to investigate these issues in the context of on an ongoing longitudinal study of peer relationships managed by the University of Illinois. A distinctive feature of this dataset is that complete peer network information (grade-based friendship networks) and self-reported AOD use have been collected at each of the existing waves for some 1232 adolescents. We will continue following this cohort through 12th grade (two additional waves of data collection) to examine the impact of peer networks on AOD use during the entire period from 6th-12th grade. We will also collect ego-centered (i.e., personal) network data from all students in one of the three schools to assess the impact of network-based study designs on understanding the link between peer networks and adolescent AOD use. This study will generate an unprecedented data set for analyses that will advance our knowledge of how peer networks shape AOD use in youth, and contribute much-needed information on the application of novel SNA methods in public health research. PUBLIC HEALTH RELEVANCE: Peer influence has been linked to substance use across numerous studies and is the primary focus of most adolescent prevention programs. This study employs social network analysis to help us understand how peers influence substance use more fully than ever before. The impact of network-based study designs on analyses linking peer networks to health behaviors remains unclear. This study is the first to assess whether data collection strategies affect analyses linking networks to AOD use, facilitating their use and expanding their application.

描述（由申请人提供）：我们建议：(1)解决“与健康和健康相关行为的社交网络的基本问题”；(2)通过采用创新的网络分析方法和最先进的建模方法来更好地理解基于学校的同伴网络对6 -12年级物质使用行为的影响，“开发创新的方法和技术来促进、改进和扩展SNA的能力”。使用生态框架，我们将开发将AOD使用与对等网络和社会背景的其他重要特征联系起来的模型。学校层面的分析、二元分析、轨迹分析和网络和行为的纵向共同进化模型将研究基于学校的同伴网络效应如何与物质使用相关，使我们能够确定哪些影响在这些行为中是共同的。将网络数据整合到促进生态视角的模型中，并将网络效应与其他已知的社会心理风险因素一起建模，将有助于我们比以往更全面地了解同伴如何影响物质使用行为。这项拟议的研究首次比较了完整的和以自我为中心的研究设计，以评估网络数据收集策略是否以及如何引入错误并影响与观察到的社会行为（如友谊）和健康方面（如AOD使用）相关的分析。因此，它有望显著提高我们对这些设计的理解，促进它们的使用和扩展它们的应用。我们有一个独特的机会来调查这些问题的背景下，在一个正在进行的纵向研究同伴关系由伊利诺伊大学管理。该数据集的一个显著特征是，完整的同伴网络信息（基于年级的友谊网络）和自我报告的AOD使用情况已经收集了大约1232名青少年的每个现有波。我们将继续跟踪这个队列到12年级（另外两波数据收集），以检查同伴网络对从6年级到12年级整个时期的AOD使用的影响。我们还将从三所学校之一的所有学生中收集以自我为中心（即个人）的网络数据，以评估基于网络的研究设计对理解同伴网络与青少年AOD使用之间的联系的影响。这项研究将产生一个前所未有的分析数据集，这将提高我们对同伴网络如何影响青少年使用AOD的认识，并为在公共卫生研究中应用新的SNA方法提供急需的信息。