Cortés Tomás María T, Giménez Costa José A, Motos-Sellés Patricia, Sancerni Beitia María D, Cadaveira Mahía Fernando
University of Valencia.
Psicothema. 2017 May;29(2):229-235. doi: 10.7334/psicothema2016.271.
The increasingly precise conceptualization of Binge Drinking (BD), along with the rising incidence of this pattern of intake amongst young people, make it necessary to review the usefulness of instruments used to detect it. Little evidence exists regarding effectiveness of the AUDIT, AUDIT-C and AUDIT-3 in the detection of BD. This study evaluates their utility in a sample of university students, revealing the most appropriate cut-off points for each sex.
All students self-administered the AUDIT and completed a self-report of their alcohol consumption. A Two-step cluster analysis differentiated 5 groups of BD in terms of: the quantity consumed, the frequency of BD over the past six months and gender. A ROC curve adjusted cut-off points for each case.
862 university students (18-19 years-old/59.5% female), 424 (49.2%) from Valencia and 438 (50.8%) from Madrid, had cut-off points of 4 in AUDIT and 3 in AUDIT-C as a better fit. In all cases, the best classifier was AUDIT-C. Neither version properly classifies students with varying degrees of BD.
All versions differentiate BD from non-BD, but none are able to differentiate between types of BD.
随着对暴饮（BD）概念的日益精确化，以及这种饮酒模式在年轻人中发病率的上升，有必要重新审视用于检测它的工具的有效性。关于酒精使用障碍鉴定测试（AUDIT）、AUDIT-C和AUDIT-3在检测BD方面的有效性，几乎没有证据。本研究评估了它们在一组大学生样本中的效用，揭示了每种性别的最合适临界值。
所有学生自行填写AUDIT，并完成一份关于他们饮酒情况的自我报告。通过两步聚类分析，根据饮酒量、过去六个月内BD的频率和性别，将BD分为5组。通过ROC曲线为每种情况调整临界值。
862名大学生（18 - 19岁/59.5%为女性），其中424名（49.2%）来自瓦伦西亚，438名（50.8%）来自马德里，AUDIT的临界值为4，AUDIT-C的临界值为3时拟合度更好。在所有情况下，最佳分类器是AUDIT-C。没有一个版本能正确地对不同程度BD的学生进行分类。
所有版本都能区分BD和非BD，但没有一个能够区分BD的类型。
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