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AUDIT 饮酒量评估条目新适应度改进大学生狂饮筛查

Evaluation of AUDIT Consumption Items New Adaptation to Improve the Screening of College Students Binge Drinking.

机构信息

Universidad Internacional de Valencia.

出版信息

Adicciones. 2020 Nov 17;32(4):255-264. doi: 10.20882/adicciones.1145.

Abstract

The strong presence of Binge Drinking (BD) amongst university students, as well as the consequences associated with the same and the changes taking place over recent years regarding its conceptualization make it necessary to examine the usefulness of screening instruments used to detect this drinking pattern. This study examines the usefulness of a briefer adaptation of the AUDIT proposed by Cortés, Giménez, Motos, and Sancerni (2017a).College students self-administered the AUDIT, the revised items 2 and 3 (A2r and A3r), and completed a weekly self-report of their alcohol intake. BD was classified according to the amount consumed and the frequency of that consumption over the past six months. The AUDIT, AUDIT-C and items A2r+A3r (AR2I) were examined. The results obtained from a sample of 605 college students (18-21 years old/55.2% female) indicate that 449 meet the BD criteria. Items A2r and A3r, adapted to the most consensual definition of BD, were found to identify 98% of BD college students when using a cut-off point of ≥ 3 in females and ≥ 4 in males with optimum levels of sensitivity and specificity. The new adaptation, which includes fewer items, identifies BD college students more accurately. This confirms the need to adjust both consumption items from the model according to the pattern of consumption in college students to detect BD more precisely and as soon as possible.

摘要

大学生中存在大量的 binge drinking(BD)现象,以及与之相关的后果,再加上近年来关于其概念的变化,使得有必要检查用于检测这种饮酒模式的筛查工具的有效性。本研究考察了 Cortés、Giménez、Motos 和 Sancerni(2017a)提出的 AUDIT 简短改编版的有用性。大学生自行完成 AUDIT、修订后的项目 2 和 3(A2r 和 A3r),并每周报告一次自己的饮酒量。BD 根据过去六个月的饮酒量和饮酒频率进行分类。检查了 AUDIT、AUDIT-C 和项目 A2r+A3r(AR2I)。从 605 名大学生(18-21 岁/55.2%女性)的样本中获得的结果表明,449 名符合 BD 标准。适用于最一致的 BD 定义的 A2r 和 A3r 项目,当女性使用≥3 的截断点和男性使用≥4 的截断点时,发现可以识别 98%的 BD 大学生,具有最佳的敏感性和特异性。新的改编版包含较少的项目,更准确地识别了 BD 大学生。这证实了需要根据大学生的饮酒模式调整模型中的两个消费项目,以更准确和尽早地检测 BD。

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