利用日常数据分析同时使用酒精和大麻的潜在类别及其与后果的关系

Jordan Gette, Alexander W. Sokolovsky, Rachel Gunn, Holly Boyle, Kristina M Jackson, Helene R White
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引用次数: 0

摘要

目的:与单一物质的使用相比,同时使用酒精和大麻(即大麻,[SAM],使用酒精和大麻的效果重叠)与消费量和后果的增加有关。吸食大麻的流行率正在上升,但吸食大麻的人在吸食模式上存在差异,这可能会导致不同的后果。研究方法:本研究利用日常数据来描述大麻、酒精和 SAM 使用模式的潜在特征,并测试参与 SAM 使用的大学生(77.08% 白人,51.67% 女性)3 个月后在相关后果方面的等级差异。阶层指标是通过重复日常调查得出的 10 个个人层面的药物使用变量。结果结果得出了三类解决方案:重度酒精、大麻和 SAM(重度使用,n = 105);重度酒精-轻度大麻(n = 75);以及轻度酒精-重度大麻(n = 60)。在所有物质使用指标(如酒精、大麻和 SAM 的数量和频率)上,不同类别之间存在明显的个人水平差异,但性别或种族/民族差异不明显。在 3 个月的随访中,"大量使用 "组比其他组认可更多的 SAM 后果。与 "重度酒精-轻度大麻 "或 "轻度酒精-重度大麻 "班级相比,"重度使用 "班级在酒精或大麻后果方面没有差异。轻度酒精-重度大麻班认可的酒精后果最少。重度酗酒-轻度吸食大麻组认可的大麻后果最少。结论:研究结果强调了共同使用的不同模式及其与随访后果的关联。大量使用酒精或大麻与该物质的后果有关,但只大量使用一种物质并不表明会产生特定于苯丙胺类兴奋剂的后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Latent Classes of Simultaneous Alcohol and Cannabis Use and Associations with Consequences using Daily Data
Objective: Simultaneous alcohol and cannabis use (i.e., marijuana, [SAM], using alcohol and cannabis so effects overlap) is associated with increased consumption and consequences compared to single-substance use. SAM use prevalence is increasing, yet there is heterogeneity in use patterns among those engaging in SAM use, which may lead to differential consequences. Method: This study drew on daily data to characterize latent profiles of cannabis, alcohol, and SAM use patterns and to test class differences on related consequences after 3 months among college students engaging in SAM use (77.08% White, 51.67% female). Class indicators were 10 person-level substance use variables derived from repeated daily surveys. Results: Results yielded a three-class solution: Heavy Alcohol, Cannabis, and SAM (Heavy Use, n = 105); Heavy Alcohol-Light Cannabis (n = 75); and Light Alcohol-Heavy Cannabis (n = 60). There were significant person-level differences between classes on all substance use indicators (e.g., quantity and frequency of alcohol, cannabis, and SAM) but not sex or race/ethnicity. At 3-month follow-up, the Heavy Use class endorsed more SAM consequences than the other classes. The Heavy Use class did not differ on alcohol or cannabis consequences compared to the Heavy Alcohol-Light Cannabis or Light Alcohol-Heavy Cannabis classes, respectively. The Light Alcohol-Heavy Cannabis class endorsed the fewest alcohol consequences. The Heavy Alcohol-Light Cannabis class endorsed the fewest cannabis consequences. Conclusions: Findings highlight distinct patterns of co-use and their association with consequences at follow-up. Heavy alcohol or cannabis use was associated with consequences for that substance, but heavy use of only one substance was not indicative of SAM-specific consequences.
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