Burnet Institute,Melbourne,Australia.
Epidemiol Infect. 2019 Jan;147:e173. doi: 10.1017/S095026881900061X.
Social network characteristics of people who inject drugs (PWID) have previously been flagged as potential risk factors for HCV transmission such as increased injection frequency. To understand the role of the injecting network on injection frequency, we investigated how changes in an injecting network over time can modulate injecting risk behaviour. PWID were sourced from the Networks 2 Study, a longitudinal cohort study of PWID recruited from illicit drug street markets across Melbourne, Australia. Network-related correlates of injection frequency and the change in frequency over time were analysed using adjusted Cox Proportional Hazards and Generalised Estimating Equations modelling. Two-hundred and eighteen PWID followed up for a mean (s.d.) of 2.8 (1.7) years were included in the analysis. A greater number of injecting partners, network closeness centrality and eigenvector centrality over time were associated with an increased rate of infection frequency. Every additional injection drug partner was associated with an increase in monthly injection frequency. Similarly, increased network connectivity and centrality over time was also associated with an increase in injection frequency. This study observed that baseline network measures of connectivity and centrality may be associated with changes in injection frequency and, by extension, may predict subsequent HCV transmission risk. Longitudinal changes in network position were observed to correlate with changes in injection frequency, with PWID who migrate from the densely-connected network centre out to the less-connected periphery were associated with a decreased rate of injection frequency.
社交网络特征的吸毒者(PWID) 此前被标记为 HCV 传播的潜在风险因素,如增加注射频率。为了了解注射网络对注射频率的作用,我们研究了随着时间的推移,注射网络的变化如何调节注射风险行为。PWID 来源于网络 2 研究,这是一项在澳大利亚墨尔本非法毒品街头市场招募的吸毒者的纵向队列研究。使用调整后的 Cox 比例风险和广义估计方程模型分析了与注射频率相关的网络相关因素以及随时间变化的频率变化。在平均(标准差)为 2.8(1.7)年的随访中,有 218 名 PWID 纳入分析。随着时间的推移,更多的注射伙伴、网络紧密中心性和特征向量中心性与感染频率的增加率相关。每个额外的注射药物伙伴与每月注射频率的增加有关。同样,随着时间的推移,网络连通性和中心性的增加也与注射频率的增加有关。这项研究观察到,基线网络连通性和中心性的衡量标准可能与注射频率的变化有关,并且可以预测 HCV 传播风险。观察到网络位置的纵向变化与注射频率的变化相关,从密集连接的网络中心迁移到连接较少的外围的 PWID 与注射频率降低的速率相关。
Epidemiol Infect. 2019-1
Int J Drug Policy. 2015-8-22
J Epidemiol Community Health. 2015-8
Int J Drug Policy. 2015-5-21
J Theor Biol. 2011-12-16
Soc Work Public Health. 2025-5-19
Biometrics. 2023-12
Health Soc Care Community. 2022-11
Cochrane Database Syst Rev. 2017-9-18
Epidemiol Infect. 2012-4-19
J Theor Biol. 2011-12-16