Department of Mathematics and Statistics, Williams College, Williamstown, MA, USA.
Department of Mathematics and Statistics, Williams College, Williamstown, MA, USA.
Addict Behav. 2024 Sep;156:108060. doi: 10.1016/j.addbeh.2024.108060. Epub 2024 May 9.
Prior studies have shown that individuals and their peers often have similar substance use behaviors, but the mechanisms driving these similarities - particularly in rural settings, are not well understood. The primary objectives of this analysis are to (1) identify factors that contribute to relationship turnover and maintenance within a rural network of persons who use drugs (PWUD), (2) determine whether assimilation and/or homophily shape participants use of injection drugs, heroin, and stimulants (methamphetamine and cocaine), and (3) assess the extent that these mechanisms influence networks ties and/or behaviors and whether these effects vary across time.
Sociometric network data were collected from a cohort of PWUD in rural Eastern Kentucky at baseline (2008-2010) and at four follow-up visits conducted approximately semiannually. Stochastic actor-oriented models (SAOMS) were used to model network structure and participant behaviors as jointly dependent variables and to identify characteristics associated with the maintenance, dissolution, and formation of network ties and changes in drug use behaviors.
Findings suggest (1) greater network stability over time for reciprocal and transitive relationships, (2) both homophily and assimilation played a greater role in shaping injection drug use (IDU) initiation and cessation than they did in shaping heroin and stimulant use, and (3) the importance of these mechanisms appeared consistent over time.
Given the stability of particular network structures and evidence of both homophily and assimilation with respect to drug-use behaviors, interventions that leverage social networks could be used to motivate health-promoting behaviors.
先前的研究表明,个体及其同伴通常具有相似的物质使用行为,但导致这些相似性的机制——特别是在农村环境中,尚未得到很好的理解。本分析的主要目的是:(1) 确定导致农村吸毒者(PWUD)网络内关系更替和维持的因素;(2) 确定同化和/或同质性是否影响参与者使用注射毒品、海洛因和兴奋剂(冰毒和可卡因);(3) 评估这些机制对网络关系和/或行为的影响程度,以及这些影响是否随时间变化。
在 2008 年至 2010 年基线调查和大约每半年进行一次的四次随访中,从肯塔基州东部农村地区的一组吸毒者中收集了社会计量网络数据。随机演员导向模型(SAOMS)用于对网络结构和参与者行为进行建模,这些行为是共同的依赖变量,并确定与网络关系的维持、解散和形成以及药物使用行为变化相关的特征。
研究结果表明:(1) 互惠和传递关系的网络稳定性随时间推移而增加;(2) 同质性和同化在塑造注射毒品使用(IDU)的开始和停止方面比塑造海洛因和兴奋剂使用方面发挥了更大的作用;(3) 这些机制的重要性在时间上似乎是一致的。
鉴于特定网络结构的稳定性以及与药物使用行为相关的同质性和同化的证据,利用社交网络的干预措施可以用来促进健康行为。