Profiling poly-substance use typologies in a multi-site cohort of illicit opioid and other drug users in Canada-a latent class analysis
Profiling poly-substance use typologies in a multi-site cohort of illicit opioid and other drug users in Canada-a latent class analysis
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DOI：
10.1080/16066350802372827
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发表时间：
2009-01-01
影响因子：
2.9
通讯作者：
Rehm, Juergen
中科院分区：
文献类型：
--
作者：
Patra, Jayadeep;Fischer, Benedikt;Rehm, Juergen
“多种物质使用”在街头吸毒人群中越来越普遍。目的是采用潜在类别分析（LCA），以经验为基础，对加拿大非法阿片类药物和其他药物使用者（OPICAN）的多地点队列中的多种物质使用者进行分类和提取潜在类型学，并检查与社会和健康指标的潜在关联。药物使用模式的582名参与者，从最近的后续行动（2005年）的队列研究，重点是药物使用的流行指标，在过去的30天内，通过LCA经验分析。使用卡方、ANOVA进一步检查这些类别与社会和健康变量的关联。二项逻辑回归模型用于预测类别成员。LCA分析产生了八种不同的用户类型，其特征在于不同物质的不同相对流行率（例如，包括：海洛因、处方阿片类药物、苯二氮卓类药物、可卡因、快克、酒精、大麻等）和给药途径（例如，注射或非注射），其中大多数通过主要使用两种或更多种不同的物质组来描述（例如，阿片类药物和兴奋剂）。至少有两种活性多种物质使用者类别被描述为主要非注射给药途径。“差或公平”的健康状况报告的最高流行水平的密集的多物质注射器类，而HCV阳性的状态是不成比例的低，在目前的noninjectors类。对多种物质使用模式进行分析审查是对有意义的药物使用监测的一个独特挑战，也为有针对性的预防和治疗干预措施提供了重要证据。
'Poly-substance use' is increasingly prevalent among street drug user populations. The objective was to employ latent class analysis (LCA) to empirically categorize and extract potential typologies of poly-substance users within a multi-site cohort of illicit opioid and other drug users (OPICAN) in Canada, and examine potential associations with social and health indicators. Drug use patterns of 582 participants from the most recent follow-up (2005) of the cohort study-focusing on drug use prevalence indicators in the past 30 days-were empirically analyzed via LCA. These classes were further examined for associations with social and health variables using chi-square, ANOVA. Binomial logistic regression models were used to predict class membership. LCA analysis resulted in eight distinct user typologies, characterized both by the distinct relative prevalence of different substances (e.g., including: heroin, prescription opioids, benzodiazepines, cocaine, crack, alcohol, cannabis, and others) used and administration routes (e.g., injection or noninjection), the majority of which were described by the predominant use of two or more distinct substance groups (e.g., opioids and stimulants). At least two of the active poly-substance user classes were described by predominant noninjection as the primary route of administration. 'Poor or fair' health status was reported at the highest prevalence level by the class of intensive poly-substance injectors, while HCV-positive status was disproportionately low in the classes of current noninjectors. Analytical examination of poly-substance use patterns is a distinct challenge for meaningful drug use monitoring, also providing important evidence for targeted prevention and treatment interventions.