Liu Yiyang, Elliott Amy L, Serdarevic Mirsada, Leeman Robert F, Cottler Linda B
College of Public Health and Health Professions and College of Medicine, Department of Epidemiology, University of Florida, Gainesville, FL, United States of America.
College of Health and Human Performance, Department of Health Education & Behavior, University of Florida, Gainesville, FL, United States of America.
Addict Behav Rep. 2019 Feb 14;9:100170. doi: 10.1016/j.abrep.2019.100170. eCollection 2019 Jun.
Cocaine use is increasing and many cocaine users engage in polysubstance use. Within polysubstance use, relationships among use of individual substances are necessarily complex. To address this complexity, we used latent class analysis (LCA) to identify patterns of polysubstance use among lifetime cocaine users and examine associations among these patterns, demographics, and risk profiles.
Members of HealthStreet, an ongoing community engagement program, were asked about lifetime and past 30-day use of cocaine, alcohol, tobacco, marijuana, and prescription medications, mental health conditions, recent Emergency Department (ED) visits and demographics. LCA was used to identify classes of past 30-day polysubstance use among individuals who endorsed lifetime cocaine use. Multinomial logistic regression identified factors associated with these classes.
Among 1797 lifetime cocaine users, a five-class LCA model was identified: 1) past 30-day tobacco use only (45%), 2) past 30-day alcohol, marijuana and tobacco use (31%), 3) past 30-day tobacco, prescription opioid and sedative use (13%), 4) past 30-day cocaine, alcohol, marijuana and tobacco use (9%), 5) past 30-day cocaine and multiple polysubstance use (2%). Demographics, ED visits and mental health conditions were associated with class membership.
Approximately 11% of lifetime cocaine users used cocaine in the past 30 days with two different concurrent substance use patterns. Prescription medication (opioids and sedatives) and complex polysubstance use patterns were stronger indicators of negative outcomes than current cocaine use. Cocaine was not used frequently with other stimulants. In addition to polysubstance use, prescription medication use should be targeted for intervention among lifetime cocaine users.
可卡因的使用呈上升趋势,许多可卡因使用者还存在多种物质混合使用的情况。在多种物质混合使用中,各物质使用之间的关系必然很复杂。为了应对这种复杂性,我们采用潜在类别分析(LCA)来识别终生可卡因使用者的多种物质混合使用模式,并研究这些模式、人口统计学特征和风险概况之间的关联。
参与“健康街”这一正在进行的社区参与项目的成员被问及终生以及过去30天内可卡因、酒精、烟草、大麻和处方药的使用情况、心理健康状况、近期急诊就诊情况和人口统计学特征。LCA用于识别那些认可终生使用可卡因的个体在过去30天内的多种物质混合使用类别。多项逻辑回归分析确定了与这些类别的相关因素。
在1797名终生可卡因使用者中,识别出了一个五类LCA模型:1)仅在过去30天内使用烟草(45%),2)在过去30天内使用酒精、大麻和烟草(31%),3)在过去30天内使用烟草、处方阿片类药物和镇静剂(13%),4)在过去30天内使用可卡因、酒精、大麻和烟草(9%),5)在过去30天内使用可卡因及多种物质混合使用(2%)。人口统计学特征、急诊就诊情况和心理健康状况与类别归属相关。
约11%的终生可卡因使用者在过去30天内使用可卡因,并伴有两种不同的并发物质使用模式。与当前使用可卡因相比,处方药(阿片类药物和镇静剂)和复杂的多种物质混合使用模式是负面结果的更强指标。可卡因并不常与其他兴奋剂一起使用。除了多种物质混合使用外,在终生可卡因使用者中,还应针对处方药的使用进行干预。