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: 8452096
• 负责人: Harold D. Green
• 金额: $ 38.64万
• 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/8452096
• 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; ninth grade; novel; peer; peer influence; psychosocial; public health research; response; theories; twelfth grade

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.

描述（申请人提供）：我们建议：（1）解决“关于社交网络与健康和健康相关行为的基本问题”;和（2）“开发创新的方法和技术，以促进、改进、并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了解学校，同伴网络对6 - 12年级学生物质使用行为的影响。 使用一个生态框架，我们将开发模型连接使用AOD对等网络和社会背景的其他重要功能。学校层面的分析，二元分析，轨迹分析和网络和行为的纵向协同进化模型将研究学校同伴网络效应与物质使用的关系，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心理社会风险因素一起建模，将有助于我们了解同龄人如何比以往更全面地影响物质使用行为。 这项拟议的研究是第一个比较完整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（例如，友谊）到健康方面（例如，AOD使用）。因此，它有望显着提高我们对这些设计的理解，促进其使用并扩大其应用。 我们有独特的机会来调查这些问题的背景下，对正在进行的纵向研究的同伴关系管理的伊利诺伊大学。这个数据集的一个显着特点是，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使用已收集在现有的波约1232青少年。我们将继续通过12年级（另外两波数据收集）跟踪这一队列，以研究从6年级到12年级整个期间同伴网络对AOD使用的影响。我们还将收集以自我为中心的（即，个人）网络数据，从所有学生在三所学校之一，以评估基于网络的研究设计的影响，了解同伴网络和青少年AOD使用之间的联系。 这项研究将产生一个前所未有的数据集进行分析，这将促进我们的知识，如何同侪网络形状AOD使用在青年，并提供急需的信息，新的SNA方法在公共卫生研究中的应用。