Alcohol demand assessed daily: Validity, variability, and the influence of drinking-related consequences
Alcohol demand assessed daily: Validity, variability, and the influence of drinking-related consequences
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DOI：
10.1016/j.drugalcdep.2020.107838
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发表时间：
2020-03-01
影响因子：
4.2
通讯作者：
Aston, Elizabeth R.
中科院分区：
文献类型：
--
作者：
Merrill, Jennifer E.;Aston, Elizabeth R.
背景：酒精需求，通常在特质水平上评估，通过单次给药，反映了个性化的酒精价值。我们研究了基线特质水平和每日酒精需求的简短测量之间的对应关系，以及需求是否会随着最近饮酒相关后果而每天变化。了解是否影响需求波动的后果可能会提供洞察力，当需求可以减少的背景下intervention.Methods：大量饮酒的大学生（n = 95，年龄18-20，52%的女性）完成了基线14项酒精购买任务（APT）。观察到的需求指数为：强度（零成本消费）、O-max（最大支出）和断点（将消费抑制为零的成本）。参与者随后完成了28份每日报告，包括3项APT（一项对应于每个基线指数）和前一天饮酒和后果。每日需求指数的变化。在分层线性模型（HLM）中，当输入所有三个基线指数时，每个每日需求指数均由其相应的基线完整APT指数显著预测，表明每日测量的收敛有效性。较低的一天水平的强度预测前一天的负面后果，控制几天和人的水平变量在HLM。最近的积极后果没有影响强度，每日最大血氧饱和度和断点没有预测任何测试的一天或人的水平variables.Conclusions：APT指数收集每日地图以及传统的单次管理APT指标和变化，以应对最近的后果。强度表现出最大的人内变异性，最强的关联，其相应的完整的APT指数，理论上一致的预测饮酒的负面后果。
Background: Alcohol demand, typically assessed at the trait-level, via single administration, reflects individualized alcohol value. We examined correspondence between baseline trait-level and daily brief measures of alcohol demand, and whether demand changes day-to-day in response to recent drinking-related consequences. Understanding whether consequences influence demand fluctuations may provide insight into when demand can be reduced in the context of intervention.Methods: Heavy drinking college students (n = 95, age 18-20, 52% female) completed a baseline 14-item alcohol purchase task (APT). Observed demand indices were: intensity (consumption at zero cost), O-max (maximum expenditure), and breakpoint (cost whereby consumption is suppressed to zero). Participants subsequently completed 28 daily reports including a 3-item APT (one item corresponding to each baseline index) and prior day drinking and consequences.Results: Intraclass correlations revealed within-person variability (i.e., day-to-day change) across daily demand indices. In hierarchical linear models (HLM), each daily demand index was significantly predicted by its corresponding baseline full APT index, when all three baseline indices were entered, suggesting convergent validity of the daily measure. Lower day-level intensity was predicted by more prior day negative consequences, controlling for several day- and person-level variables in HLM. Recent positive consequences did not impact intensity, and daily O-max and breakpoint were not predicted by any tested day- or person-level variables.Conclusions: APT indices collected daily map on well to traditional single-administration APT metrics and change in response to recent consequences. Intensity demonstrated the greatest within-person variability, the strongest association with its corresponding full APT index, and theoretically-consistent prediction by negative consequences of drinking.