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The effect of sample selection on the distinction between alcohol abuse and dependence

机译：样本选择对酒精滥用与依赖性之间的区别的影响

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Steppan, M., Piontek, D., & Kraus, L. (2014). The effect of sample selection on the distinction between alcohol abuse and dependence. The International Journal Of Alcohol And Drug Research, 3 (2), 159-168. doi: http://dx.doi.org/10.7895/ijadr.v3i2.100 Aim: The effect of sample selection on the dimensionality of DSM-IV alcohol and dependence (AUD) criteria was tested applying different methods. Sample: Data from the 2006 German Epidemiological Survey of Substance Abuse (ESA) were used. A mixed-mode design was used (self-administered questionnaires and telephone interviews), and 7,912 individuals, aged 18 to 64 years, participated. The response rate was 45%. Alcohol abuse and dependence were assessed according to DSM-IV, based on the Munich Composite International Diagnostic Interview (M-CIDI). Inter-item correlations, Confirmatory Factor Analysis (CFA), and Latent Class Analysis (LCA) were applied to the total sample (unrestricted sample, URS) and a subsample of individuals with at least one endorsed criterion (restricted sample, RS). Latent Class Factor Analysis (LCFA) was performed using the RS, including covariates (age, sex, education). Findings: The mean inter-item correlation was higher in the URS than in the RS. When individuals without criterion endorsement were excluded, factor analyses resulted in more dimensions. In the RS, LCA yielded an interaction between abuse, dependence and class membership. The LCFA identified two dimensions and five classes corresponding to abuse and dependence. Conclusions: Sample selection has a critical effect on dimensionality analyses. When individuals who do not endorse a single criterion are excluded, the bi-axial factor structure of the DSM-IV (abuse and dependence) can be supported. However, there is also evidence that a further diagnostic category should be included or that the threshold for dependence should be lowered.
机译：Steppan，M.，Piontek，D.和Kraus，L.（2014年）。样本选择对酒精滥用和依赖之间的区别的影响。国际酒精与药物研究杂志，3（2），159-168。 doi：http://dx.doi.org/10.7895/ijadr.v3i2.100目的：采用不同方法测试了样品选择对DSM-IV醇的尺寸和依赖性（AUD）标准的影响。样本：使用了2006年德国药物滥用流行病学调查（ESA）的数据。使用了混合模式设计（自行管理的问卷和电话采访），共有7912名年龄在18至64岁之间的人参加。回应率为45％。根据DSM-IV，根据慕尼黑综合国际诊断访谈（M-CIDI）对酒精滥用和依赖性进行了评估。项目间相关性，确认性因子分析（CFA）和潜在类别分析（LCA）被应用于总样本（非受限样本，URS）和具有至少一个认可标准的个体子样本（受限样本，RS）。潜在类别因素分析（LCFA）使用RS进行，包括协变量（年龄，性别，教育程度）。结果：URS中的平均项目间相关性高于RS中的。当没有标准认可的个人被排除在外时，因素分析产生了更多的维度。在RS中，LCA产生了滥用，依赖性和阶级成员之间的相互作用。 LCFA确定了与滥用和依赖相对应的两个维度和五个类别。结论：样品选择对尺寸分析具有至关重要的作用。当排除不认可单个标准的个人时，可以支持DSM-IV的双轴因子结构（滥用和依赖性）。但是，也有证据表明应该包括其他诊断类别，或者应该降低依赖性阈值。

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