Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA.
Department of Mathematics and Statistics, Williams College, Williamstown, MA, USA.
Addiction. 2021 Apr;116(4):856-864. doi: 10.1111/add.15218. Epub 2020 Sep 14.
The US opioid crisis has led to increases in overdose fatalities and the incidence of HIV, hepatitis C and other infections. This analysis examines social network predictors of recent (self-report injection followed by non-injection) and sustained (self-report non-injection at two consecutive visits among those who previously injected) injection cessation in Appalachian Kentucky.
Data were collected through bi-annual longitudinal assessments for Social Networks among Appalachian People (SNAP; 2008-17). Using logistic regression with generalized estimating equations that clustered on individuals, we regressed non-injection status on the number of social network members who (a) did not inject and (b) recently stopped injecting and tested for interactions between each social network exposure and prior non-injection status. Social network exposures were self-reported.
Rural eastern Kentucky, USA.
Participants entered the analysis only after reporting recent injection and had to have had at least two consecutive study visits (n = 326).
Interviewer-administered surveys collected individual-level socio-demographics, recent (past 6 months) drug use behaviors and the names of recent social support, sex and drug-use partners.
After adjusting for confounders, the number of non-injecting social network members was positively associated with recent/sustained injection cessation (adjusted odds ratio = 1.27; 95% confidence interval = 1.13-1.42) and having more social network members was associated with reduced odds of recent/sustained injection cessation. The number of previously injecting social network members who had recently stopped injecting was not statistically significantly associated with injection cessation. Neither of the interactions we tested for was statistically significant, suggesting that the relationships may be similar for those who recently stopped injecting versus had not injected for at least 1 year.
For each additional network member who did not inject drugs, there was an increased odds of recent and sustained injection cessation among people with a history of injection drug use in Appalachian Kentucky.
美国阿片类药物危机导致过量死亡人数增加,以及艾滋病毒、丙型肝炎和其他感染的发病率上升。本分析研究了阿巴拉契亚肯塔基州近期(自我报告注射后而非注射)和持续(在先前注射过的人群中连续两次就诊时自我报告非注射)注射停止的社会网络预测因子。
数据通过社会网络中的阿巴拉契亚人群(SNAP;2008-17 年)的两年期纵向评估收集。使用广义估计方程的逻辑回归对个体进行聚类,我们将非注射状态与(a)未注射和(b)最近停止注射的社会网络成员数量进行回归,并检验了每个社会网络暴露与先前非注射状态之间的相互作用。社会网络暴露是自我报告的。
美国肯塔基州东部农村地区。
只有在报告近期注射后,参与者才能进入分析,并且必须至少有两次连续的研究就诊(n=326)。
访谈者管理的调查收集了个人层面的社会人口统计学信息、最近(过去 6 个月)的药物使用行为以及最近的社会支持、性和药物使用伙伴的姓名。
在调整了混杂因素后,非注射社会网络成员的数量与近期/持续注射停止呈正相关(调整后的优势比=1.27;95%置信区间=1.13-1.42),并且拥有更多的社会网络成员与近期/持续注射停止的可能性降低有关。最近停止注射的先前注射社会网络成员的数量与注射停止没有统计学上的显著相关性。我们测试的两个相互作用都没有统计学意义,这表明对于那些最近停止注射的人和至少 1 年内未注射的人,这些关系可能相似。
在阿巴拉契亚肯塔基州,对于每个新增的未使用毒品的网络成员,曾经使用过注射毒品的人群中近期和持续注射停止的可能性都会增加。