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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)：拟议研究的目标是将友谊关系的单模网络数据分析(逐个演员的网络)扩展到双模式(逐个活动的从属关系/双方)网络数据，以模拟共同参与学校组织的活动对青少年饮酒的影响。第一个目的是通过直接模拟(使用多个网络自相关模型)双模式/从属关系暴露对饮酒行为的影响来确定基于从属关系的网络影响的新概念的实用性，以控制其他竞争性同辈影响，主要是基于亲密朋友或同辈占据相似网络位置的影响。第二个目标是确定多种形式的网络效应对饮酒的相对贡献，以及这些网络效应如何作为风险因素共同作用。R00阶段的研究将集中在与酒精有关的从属网络的结构特性和双模网络结构分析的动力学方面。与此相关，第三个目标是用几何加权技术估计新的双模指数随机图模型(ERGM)，以检验共同从属对青少年饮酒的影响，并将其扩展到纵向分析，通过随机建模单模和双模网络的共同进化，在基于行动者的建模框架内检验友谊和从属网络进化中与饮酒相关的交叉依赖。第四个目标是探索与饮酒有关的社会机制，这些机制驱动以单一模式朋友网络为条件的从属网络结构的联合动态。解决这些问题将有助于确立PI的长期职业目标，即将自己确立为双模式网络专家，这与主要导师(托马斯·瓦伦特)在以青少年饮酒为中心的同伴对物质使用的影响的研究中分析单模式网络的主要方法是分开和不同的。K99和R00阶段的研究使用了来自国家青少年健康纵向研究(Add Health)和南加州大学收集的数据的数据。这项拟议的研究不仅有可能为基于社会影响模型的学校预防酒精项目的实施提供洞察，而且拟议的使用双模式网络数据的方法不需要收集网络数据(社会计量学)。因此，这种方法有可能应用于各种各样的研究，并用于传统上不能使用网络方法的公共卫生的各个领域。与公共健康相关：该研究计划特别揭示了同伴影响的新模式，这将有助于理解青少年酒精(和其他物质)使用的病因和改善，它明确提出了NIH的使命，即产生与“生命系统的行为和应用这些知识，以延长健康寿命和减少疾病和残疾的负担”相关的知识。公共卫生相关性：拟议研究的目标是开发和探索通过团体关系传播物质使用的可能性，通常是以学校赞助的体育或类似活动的形式。如果从属关系暴露具有接近传统社会影响模型的解释能力，那么使用传统收集但不以这种方式使用的数据收集和影响评估的更多机会将为理解青少年酒精(和其他物质)使用的病因和改善提供一个重要的新见解来源。