Comparing Social Network Influence on Alcohol Use Using Affiliation Data

使用隶属关系数据比较社交网络对饮酒的影响

基本信息

批准号：
8144953
负责人：
Kayo Fujimoto
金额：
$ 8.7万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-15 至 2011-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8144953
关键词：
Accounting Address Adolescent Affect Alcohol consumption Alcohol or Other Drugs use Alcohols Attention Behavior Behavior Control Behavioral Characteristics Collection Complex Computer software Data Data Analyses Data Collection Dependence Dependency Development Diffusion Distant Etiology Event Evolution Friends Friendships Goals Graph Group Affiliation Health Individual Joints Knowledge Life Longitudinal Studies Maps Measures Mentors Methodology Methods Mission Modeling Neighborhoods Network-based Organism Outcome Measure Pathway Analysis Peer Group Phase Play Positioning Attribute Prevention program Procedures Process Property Public Health Relative (related person)Research Risk Risk Factors Role Schools Social Environment Social Network Source Specialist Sports Staging Statistical Models Structure Sum Techniques Testing United States National Institutes of Health Weight adolescent alcohol adolescent substance use alcohol misuse alcohol prevention base burden of illness career conditioning disability drinking behavior insight longitudinal analysis peer peer influence public health relevance social substance using adolescents theories tool transmission process underage drinking

项目摘要

DESCRIPTION (provided by applicant): The goal of the proposed research is to extend one-mode network data analysis of friendship relations (actor-by-actor network) to two-mode (actor-by-event affiliation/bipartite) network data to model the influence of co-participation in school-based organized activities on adolescent alcohol use. The first aim is to determine the utility of a new conceptualization of affiliation-based network influence by directly modeling (using multiple Network Autocorrelation Models) the effect of two-mode/affiliation exposure on drinking behavior controlling for other competing peer influences primarily those based on close friends or peers occupying similar network position. The second aim is to determine the relative contributions of multiple forms of network effects on alcohol use, and how these network effects operate together as risk factors. The research during the R00 phase will focus on structural properties and the dynamics of two-mode network structural analysis of affiliation networks in relation to alcohol. Related to this, the third aim is to estimate the new specification of two-mode Exponential Random Graph Model (ERGM) with geometric weighting technique to test the effects of co-affiliation on adolescent alcohol use, and it will be extended to longitudinal analysis by stochastically modeling the co-evolution of one-mode and two-mode networks to examine the cross-dependencies in the evolution of friendship and affiliation networks in relation to alcohol use within an actor-based modeling framework. The fourth aim is to explore social mechanisms that drive joint dynamics of affiliation network structures conditioned on one-mode friends' networks in relation to alcohol use. Addressing these questions would help establish the PI's long-term career goal of establishing herself as a specialist in two-mode network, which is separate and distinct from the primary mentor's (Thomas Valente) main approach of analyzing one-mode networks in the study of peer influence on substance use centered on adolescent alcohol use. Research for both K99 and R00 phase use data from both the National Longitudinal Study of Adolescent Health (Add Health) and from USC-collected data. Not only does the proposed study have the potential to provide insight into how school-based alcohol prevention program based on social influence model should be implemented, the proposed approach of using two-mode network data does not require the collection of network data (sociometrics). Therefore this methodology has the potential to be applied to a wide variety of studies and used in various fields of public health that traditionally have not been able to use network methods. PUBLIC HEALTH RELEVANCE: The research plan specifically uncovers new modes f peer influence that will help understand the etiology and amelioration of adolescent alcohol (and other substance) use, it explicitly addresses the NIH mission of producing knowledge related to the "behavior of living systems and the application of that knowledge to extend healthy life and reduce the burdens of illness and disability." PUBLIC HEALTH RELEVANCE: The goal of the proposed research is develop and explore the possibilities of the transmission of substance use through group affiliations, frequently in the form of school-sponsored sports or similar activities. If affiliation exposure has anywhere near the explanatory power of traditional social influence models, the expanded opportunities for data collection and influence estimation using data that is traditionally collected but not used in this way will provide a substantial new source of insight for understanding the etiology and amelioration of adolescent alcohol (and other substance) use.

描述（由申请人提供）：拟议的研究的目的是将友谊关系的一模式网络数据分析（Actor-by-Actor网络）扩展到两种模式（Actor-by-Event隶属关系/双方）网络数据，以模拟共同党派在学校基于学校的有组织活动对青少年酒精使用的影响。第一个目的是通过直接建模（使用多个网络自相关模型）来确定基于隶属关系网络影响的新概念化的实用性，即两种模式/隶属关系暴露对饮酒行为控制其他竞争同行的影响，主要是基于亲密朋友或同伴占据类似网络位置的影响。第二个目的是确定多种形式网络对饮酒的影响的相对贡献，以及这些网络效应如何作为风险因素共同运行。 R00阶段的研究将集中于与酒精有关的隶属网络的两模式网络结构分析的动态。与此相关的是，第三个目的是估算两种模式指数随机图模型（ERGM）的新规范，并使用几何加权技术来测试共同相关对青少年酒精使用的影响，并将其扩展到纵向分析中，通过在纵向分析中通过随机地在一模式网络和两模式网络的共同范围内建模在相互依赖的相互依赖的跨模型中，从而扩展到纵向分析。基于演员的建模框架。第四个目的是探索推动与酒精使用有关的一个模式朋友网络的隶属网络结构的联合动态的社会机制。解决这些问题将有助于确定PI的长期职业目标，即建立自己是两模式网络专家的职业目标，该网络与主要导师（Thomas Valente）分析的主要方法是分析一模式网络的主要方法，以研究同伴对青少年酒精饮酒的毒品使用的影响。 K99和R00阶段的研究都使用来自国家青少年健康纵向研究（ADD HEALL）和USC收集的数据的数据。拟议的研究不仅有可能洞悉如何基于社会影响模型的基于学校的酒精预防计划，而且建议使用两模式网络数据的拟议方法不需要收集网络数据（SOCIOMERTIC）。因此，该方法有可能应用于各种研究，并在传统上无法使用网络方法的各个公共卫生领域中使用。公共卫生相关性：该研究计划专门揭示了新模式的影响，这将有助于了解青少年酒精（和其他物质）使用的病因和改善，它明确地解决了NIH的使命，即产生与“生活系统的行为以及该知识的应用以及延长健康生活和降低疾病和耐心的责任”相关的知识。公共卫生相关性：拟议的研究的目标是开发和探索通过小组分支机构传播药物使用的可能性，通常是以学校资助的体育或类似活动的形式进行的。如果隶属接触的距离传统社会影响模型的解释能力附近，则使用传统收集但不使用的数据进行数据收集和影响估算的机会扩大，将为了解青少年酒精（和其他物质）使用的病因和改善的洞察力提供大量的新见解。