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理解同时使用酒精和大麻的人群的异质性:基于每日日记数据得出的潜在类别。

Understanding Heterogeneity Among Simultaneous Alcohol and Marijuana Users: Latent Classes Derived From Daily Diary Data.

机构信息

Department of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania.

Edna Bennett Pierce Prevention Research Center, Pennsylvania State University, University Park, Pennsylvania.

出版信息

J Stud Alcohol Drugs. 2022 May;83(3):358-363. doi: 10.15288/jsad.2022.83.358.

Abstract

OBJECTIVE

Simultaneous use of alcohol and marijuana (SAM) is common among U.S. college students, but little research has examined specific substance use behaviors during SAM use episodes. This study identified latent classes of SAM users based on their SAM, alcohol-only, and marijuana-only use episodes.

METHOD

College student SAM users ( = 284; 50.7% female; age = 19.8 years) completed up to five surveys each day across two 4-week bursts. Latent class analysis (LCA) was used to characterize SAM users based on seven latent class indicators of use behavior. Sex was examined in relation to latent class membership.

RESULTS

Five unique classes emerged: Frequent Marijuana-Focused SAM users (21%); Frequent Alcohol-Initiating SAM users (29%); Heavy-Drinking Infrequent SAM users (12%); Moderate SAM users (29%); and Light Infrequent SAM users (9%). These groups were differentiated primarily by their frequency of SAM use, form of marijuana, whether marijuana was used on non-SAM occasions, and whether consequences were experienced. Groups differed significantly by sex.

CONCLUSIONS

College student SAM users are heterogeneous with respect not only to their degree of SAM use but also in their pattern of drinking, type of marijuana use, relative focus on alcohol versus marijuana, and risk of experiencing acute negative consequences. Describing this heterogeneity is an important step toward developing interventions for different types of users.

摘要

目的

在美国大学生中,同时使用酒精和大麻(SAM)很常见,但很少有研究调查 SAM 使用期间的具体物质使用行为。本研究根据 SAM、仅酒精和仅大麻使用发作,确定 SAM 用户的潜在类别。

方法

大学生 SAM 用户(n=284;50.7%为女性;年龄=19.8 岁)在两个为期 4 周的爆发期间,每天最多完成五次调查。使用潜在类别分析(LCA)根据使用行为的七个潜在类别指标来描述 SAM 用户。考察了性别与潜在类别成员的关系。

结果

出现了五个独特的类别:频繁大麻为中心的 SAM 用户(21%);频繁酒精启动的 SAM 用户(29%);重度饮酒非频繁 SAM 用户(12%);中度 SAM 用户(29%)和轻度非频繁 SAM 用户(9%)。这些群体主要通过 SAM 使用的频率、大麻的形式、大麻是否在非 SAM 场合使用以及是否经历过后果来区分。这些群体在性别上存在显著差异。

结论

大学生 SAM 用户不仅在 SAM 使用程度上存在异质性,而且在饮酒模式、大麻使用类型、对酒精和大麻的相对关注程度以及经历急性负面后果的风险方面也存在异质性。描述这种异质性是为不同类型的用户开发干预措施的重要步骤。

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