Screening for hazardous alcohol use among university students using individual questions from the Alcohol Use Disorders Identification Test-Consumption
Screening for hazardous alcohol use among university students using individual questions from the Alcohol Use Disorders Identification Test-Consumption
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DOI：
10.1111/dar.12272
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发表时间：
2015-09-01
影响因子：
3.8
通讯作者：
Tustin, Karen
中科院分区：
文献类型：
--
作者：
Blank, Mei-Ling;Connor, Jennie;Tustin, Karen
介绍和目的在学生中尚未调查过酒精使用障碍识别测试-消费（AUDIT-C）仪器的简化版本。我们比较了修改后的第二项（AUDIT-2*）（每次饮酒的典型数量，而不是分类反应）和第三项（AUDIT-3）（重度间歇饮酒频率）与AUDIT-C得分，并描述了它们与社会人口变量的关系。设计与方法我们分析了2011年新西兰研究生纵向研究基线的横断面数据，包括25岁以下的受访者（n=5082，回复率65%）。危险饮酒被定义为男性的AUDIT-C得分为7分或更高，女性为5分或更高。我们计算了AUDIT-2*和AUDIT-3的受试者工作特征曲线下的面积、灵敏度、特异性以及阳性和阴性预测值。计算比值比和95%置信区间来描述饮酒模式与社会人口因素之间的关联。基于性别审计- c切割点，36%的参与者报告饮酒达到危险水平。对于AUDIT-2*，对于五个标准饮料的切点，获得了灵敏度和特异性的最佳组合。AUDIT-3的最佳切入点是每月大量的间歇性饮酒。阳性和阴性预测值均在0.80以上。消费与年龄、学位水平、国内/国际状况、住宿类型、关系状况和就业有关。讨论与结论AUDIT-2*和AUDIT-3似乎是在这一酗酒学生群体中检测有害饮酒的有希望的独立筛选项目。[m] M-L, Connor J, Gray A, Tustin K.基于酒精使用障碍识别测试的大学生危险酒精使用筛查[J]。药物酒精Rev 2015；34:540-8]
Introduction and AimsAbbreviated versions of the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) instrument have not been investigated among students. We compared a modified second item (AUDIT-2*) (typical quantity per occasion as the number of drinks, rather than categorical responses) and the third item (AUDIT-3) (heavy episodic drinking frequency) with AUDIT-C scores and described their associations with sociodemographic variables.Design and MethodsWe analysed cross-sectional data from the 2011 baseline of the Graduate Longitudinal Study New Zealand, including respondents aged up to 25 years (n=5082, response rate 65%). Hazardous drinking was defined as an AUDIT-C score of seven or greater for men and five or greater for women. We calculated the area under receiver operating characteristic curves, sensitivities, specificities, and positive and negative predictive values for the AUDIT-2* and AUDIT-3. Odds ratios and 95% confidence intervals were calculated to describe the associations between drinking patterns and sociodemographic factors.ResultsBased on the sex-specific AUDIT-C cut-points, 36% of participants reported drinking at hazardous levels. For the AUDIT-2*, the best combination of sensitivity and specificity was obtained for a cut-point of five standard drinks. The best cut-point for the AUDIT-3 was for monthly heavy episodic drinking. Positive and negative predictive values were above 0.80 for both cut-points. Consumption was associated with age, degree level, domestic/international status, accommodation type, relationship status and employment.Discussion and ConclusionsThe AUDIT-2* and the AUDIT-3 appear to be promising standalone screening items for detecting hazardous drinking in this population of heavy-drinking students. [Blank M-L, Connor J, Gray A, Tustin K. Screening for hazardous alcohol use among university students using individual questions from the Alcohol Use Disorders Identification Test-Consumption. Drug Alcohol Rev 2015;34:540-8]