大麻使用的背景:阿根廷大学生的潜在阶级分析

A. Pilatti, Adrian J. Bravo, Yanina Michelini, Gabriela Rivarola Montejano, R. Pautassi
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引用次数: 0

摘要

背景:物质使用以及与物质相关的变量和结果之间的关联似乎依赖于环境。我们采用潜在类分析(LCA),一种以人为中心的方法,根据大麻使用背景确定不同的亚群。我们还研究了在一系列与大麻相关的变量中是否会产生不同的结果,这些变量有望成为干预的潜在目标。方法:1083名阿根廷大学生(女性占64%;(年龄= 19.73±3.95)完成了一项药物使用及相关变量(药物使用动机、保护性行为策略[PBS]和大学生大麻使用文化内化)的在线调查。在目前的研究中,只有上个月(即过去30天)使用大麻的学生(n = 158)的数据被纳入分析。参与者报告他们是否在不同的地方使用大麻(即,自己的房子,家里的聚会,朋友家,朋友家的聚会,大学聚会,非大学聚会,酒吧,舞厅,外面[街道,公园],或游戏前)或社交环境(即,单独,与家人,陌生人,男朋友/女朋友,亲密的朋友,一小群同性朋友,≥10个同性朋友,一小群男女朋友,≥10个男女朋友)。结果:LCA识别出大麻使用情境的2类模型。第一类占上个月大麻使用者的40%。这门课的学生认为,在不同的场所(例如,在家里、聚会上、户外)和社会环境(例如,亲密的朋友和小型的同性和男女同校群体)吸食大麻的可能性很大。第二类的参与者对大麻使用的支持度较低,但他们报告说,与一小群同性朋友或与亲密朋友在朋友家使用大麻的可能性中等到很高。如Student’s t所示,两个班级在所有大麻结果(即使用和负面后果)和大麻相关变量(动机、PBS和大学大麻使用文化的内化)上均存在显著差异。二班的学生使用大麻的频率和数量都明显少于一班的学生,与大麻相关的负面后果也更少。与二班的学生相比,二班的学生对大学大麻使用表现出更规范的认知,更多的大麻使用动机——尤其是社交、应对和扩张动机——以及更少的PBS使用。结论:我们的研究结果揭示了大学生在大麻使用背景、使用模式和一些相关变量方面的异质性。这些不同的亚群需要不同的针对性干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contexts of Marijuana Use: A Latent Class Analysis among Argentinean College Students
Background: Substance use and the association between substance-related variables and outcomes seem to be context dependent. We employed Latent Class Analysis (LCA), a person-centered approach, to identify distinct subpopulations based on contexts of marijuana use. We also examined whether the resulting classes differ in a set of marijuana-related variables that hold promise as potential targets of interventions. Method: A sample of 1083 Argentinean college students (64% women; M age = 19.73±3.95) completed an online survey that assessed substance use and related variables (motives for substance use, protective behavioral strategies [PBS] and internalization of the college marijuana use culture). For the present study, only data from students that reported last month (i.e., past 30-day) marijuana use (n = 158) were included in the analysis. Participants reported whether or not they used marijuana in different places (i.e., own house, party at home, friends’ house, parties at friends' house, university party, non-university party, bar, dance-club, outside [street, park], or pregaming) or social contexts (i.e., alone, with family members, strangers, boyfriend/girlfriend, close friend, small group of same-sex friends, ≥10 same-sex friends, small co-ed group of friends, ≥10 co-ed friends). Results: LCA identified a 2-classes model for marijuana use context. Class 1 comprised 40% of last-month marijuana users. Students within this class endorsed a high probability of consuming marijuana across different places (e.g., at home, at parties, outdoors) and social contexts (e.g., close friend and in small same sex and coed groups). Participants in Class 2 exhibited a low endorsement of marijuana use across contexts, yet they reported a moderate to high probability of using marijuana with a small group of same-sex friends or with the close friend, at a friend’s home. The two classes significantly differed, as shown by Student’s t, on all marijuana outcomes (i.e., use and negative consequences) and marijuana-related variables (motives, PBS and internalization of the college marijuana use culture). Students in class 2 exhibited significantly less marijuana use, both in terms of frequency and quantity, and less marijuana-related negative consequences than those in class 1. The latter class exhibited more normative perceptions about marijuana use in college, more marijuana use motives -particularly social, coping and expansion motives- and less use of PBS than students in class 2 did. Conclusions: Our findings revealed subpopulations of college students that are heterogeneous regarding contexts of marijuana use, patterns of use and in a number of relevant variables. These distinctive subpopulations require different targeted interventions.
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