A Latent Class Analysis of DSM-IV Alcohol Use Disorder Criteria and Binge Drinking in Undergraduates
A Latent Class Analysis of DSM-IV Alcohol Use Disorder Criteria and Binge Drinking in Undergraduates
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DOI：
10.1111/j.1530-0277.2011.01595.x
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发表时间：
2012-01-01
影响因子：
3.2
通讯作者：
Leeman, Robert F.
中科院分区：
文献类型：
--
作者：
Beseler, Cheryl L.;Taylor, Laura A.;Leeman, Robert F.
背景资料：青少年和成人样本表明，精神障碍诊断和统计手册-IV（DSM-IV）的滥用和依赖的标准在于连续的酒精问题的严重程度，但在大学生的标准功能的信息是缺乏的。大学样本中的先验因素分析（Beseler等人，2010）表明，在纳入酗酒标准后，2因素解决方案比单因素解决方案更好地拟合数据。第二个维度可能表明集群的标准过度饮酒在这个college samples.Methods：本研究是一个匿名的，在线调查的本科生（N = 361），包括项目有关的DSM-IV酒精使用障碍（AUD）的诊断标准和酗酒的数据分析。潜类分析（LCA）被用来确定是否最适合的标准的分类模型，有和没有酗酒criterion.Results：在LCA包括AUD标准，3类解决方案是最好的配合。酗酒使模型的拟合度恶化。最大类别（1类，n = 217）主要支持耐受性（18.4%）;无酒精依赖。中产阶级（2级，n = 114）主要支持耐受性（81.6%）和饮酒超过预期（74.6%）; 34.2%符合依赖性标准。最小类别（类别3，n = 30）支持所有具有高概率（30 - 100%）的标准;均符合依赖性标准。酒精消费模式没有显着差异2级和3级之间。第3类的特点是在几个变量上的水平较高，这些变量被认为可以预测酒精相关问题的风险（例如：例如，在一个实施例中，结论：确定了两类重度饮酒的大学生，其中一类似乎比另一类的风险更高。最高风险群体在大学毕业后可能不太可能从高风险饮酒中“成熟”出来。
Background: Adolescent and adult samples have shown that the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) abuse and dependence criteria lie on a continuum of alcohol problem severity, but information on criteria functioning in college students is lacking. Prior factor analyses in a college sample (Beseler et al., 2010) indicated that a 2-factor solution fit the data better than a single-factor solution after a binge drinking criterion was included. The second dimension may indicate a clustering of criteria related to excessive alcohol use in this college sample.Methods: The present study was an analysis of data from an anonymous, online survey of undergraduates (N = 361) that included items pertaining to the DSM-IV alcohol use disorder (AUD) diagnostic criteria and binge drinking. Latent class analysis (LCA) was used to determine whether the criteria best fit a categorical model, with and without a binge drinking criterion.Results: In an LCA including the AUD criteria only, a 3-class solution was the best fit. Binge drinking worsened the fit of the models. The largest class (class 1, n = 217) primarily endorsed tolerance (18.4%); none were alcohol dependent. The middle class (class 2, n = 114) endorsed primarily tolerance (81.6%) and drinking more than intended (74.6%); 34.2% met criteria for dependence. The smallest class (class 3, n = 30) endorsed all criteria with high probabilities (30 to 100%); all met criteria for dependence. Alcohol consumption patterns did not differ significantly between classes 2 and 3. Class 3 was characterized by higher levels on several variables thought to predict risk of alcohol-related problems (e. g., enhancement motives for drinking, impulsivity, and aggression).Conclusions: Two classes of heavy-drinking college students were identified, one of which appeared to be at higher risk than the other. The highest risk group may be less likely to "mature out'' of high-risk drinking after college.