Amlung Michael, Yurasek Ali, McCarty Kayleigh N, MacKillop James, Murphy James G
Department of Psychological Sciences, University of Missouri.
Department of Psychology, University of Memphis.
Exp Clin Psychopharmacol. 2015 Jun;23(3):168-75. doi: 10.1037/pha0000014. Epub 2015 Apr 20.
Behavioral economic purchase tasks can be readily used to assess demand for a number of addictive substances, including alcohol, tobacco, and illicit drugs. However, several methodological limitations associated with the techniques used to quantify demand may reduce the utility of demand measures. In the present study, we sought to introduce area under the curve (AUC), commonly used to quantify degree of delay discounting, as a novel index of demand. A sample of 207 heavy-drinking college students completed a standard alcohol purchase task and provided information about typical weekly drinking patterns and alcohol-related problems. Level of alcohol demand was quantified using AUC--which reflects the entire amount of consumption across all drink prices--as well as the standard demand indices (e.g., intensity, breakpoint, Omax, Pmax, and elasticity). Results indicated that AUC was significantly correlated with each of the other demand indices (rs = .42-.92), with particularly strong associations with Omax (r = .92). In regression models, AUC and intensity were significant predictors of weekly drinking quantity, and AUC uniquely predicted alcohol-related problems, even after controlling for drinking level. In a parallel set of analyses, Omax also predicted drinking quantity and alcohol problems, although Omax was not a unique predictor of the latter. These results offer initial support for using AUC as an index of alcohol demand. Additional research is necessary to further validate this approach and to examine its utility in quantifying demand for other addictive substances such as tobacco and illicit drugs.
行为经济学购买任务可轻易用于评估对多种成瘾物质的需求,包括酒精、烟草和非法药物。然而,与用于量化需求的技术相关的若干方法学限制可能会降低需求测量的效用。在本研究中,我们试图引入曲线下面积(AUC),这一常用于量化延迟折扣程度的指标,作为一种新的需求指标。207名重度饮酒的大学生样本完成了一项标准酒精购买任务,并提供了有关典型每周饮酒模式和与酒精相关问题的信息。使用AUC(它反映了所有饮料价格下的总消费量)以及标准需求指标(如强度、断点、Omax、Pmax和弹性)来量化酒精需求水平。结果表明,AUC与其他每个需求指标都显著相关(rs = 0.42 - 0.92),与Omax的关联尤为强烈(r = 0.92)。在回归模型中,AUC和强度是每周饮酒量的显著预测指标,并且即使在控制饮酒水平后,AUC也能唯一预测与酒精相关的问题。在一组平行分析中,Omax也能预测饮酒量和酒精问题,尽管Omax不是后者的唯一预测指标。这些结果为将AUC用作酒精需求指标提供了初步支持。需要进一步的研究来进一步验证这种方法,并检验其在量化对其他成瘾物质(如烟草和非法药物)的需求方面的效用。