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潜在转变分析:潜在变量方法在物质使用转变建模中的优势

Latent Transition Analysis: Benefits of a Latent Variable Approach to Modeling Transitions in Substance Use.

作者信息

Lanza Stephanie T, Patrick Megan E, Maggs Jennifer L

机构信息

The Methodology Center, The Pennsylvania State University.

出版信息

J Drug Issues. 2010;40(1):93-120. doi: 10.1177/002204261004000106.

Abstract

We apply latent transition analysis (LTA) to characterize transitions over time in substance use behavior profiles among first-year college students. Advantages of modeling substance use behavior as a categorical latent variable are demonstrated. Alcohol use (any drinking and binge drinking), cigarette use, and marijuana use were assessed in a sample (N=718) of college students during the fall and spring semesters. Four profiles of 14-day substance use behavior were identified: (1) Non-Users; (2) Cigarette Smokers; (3) Binge Drinkers; and (4) Bingers with Marijuana Use. The most prevalent behavior profile at both times was the Non-Users (with over half of the students having this profile), followed by Binge Drinkers and Bingers with Marijuana Use. Cigarette Smokers was the least prevalent behavior profile. Gender, race/ethnicity, early onset of alcohol use, grades in high school, membership in the honors program, and friendship goals were all significant predictors of substance use behavior profile.

摘要

我们应用潜在转变分析(LTA)来描述一年级大学生物质使用行为模式随时间的转变。将物质使用行为建模为分类潜在变量的优势得到了证明。在秋季和春季学期对一个大学生样本(N = 718)进行了酒精使用(任何饮酒和狂饮)、吸烟和大麻使用情况的评估。确定了14天物质使用行为的四种模式:(1)非使用者;(2)吸烟者;(3)狂饮者;(4)使用大麻的狂饮者。两个时间点最普遍的行为模式都是非使用者(超过一半的学生属于此模式),其次是狂饮者和使用大麻的狂饮者。吸烟者是最不普遍的行为模式。性别、种族/族裔、酒精使用的早发性、高中成绩、荣誉项目成员身份以及友谊目标都是物质使用行为模式的显著预测因素。

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