Miller Mary Beth, DiBello Angelo M, Merrill Jennifer E, Shoemaker Sydney D, Moskal Katie R, Carey Kate B
Department of Psychiatry, University of Missouri, Columbia, Missouri, USA.
Department of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.
Alcohol Clin Exp Res (Hoboken). 2025 Jun;49(6):1273-1285. doi: 10.1111/acer.70042. Epub 2025 May 30.
Alcohol-induced "blackouts," or memory loss for events that occur while drinking, are prevalent and problematic among young adults. They also increase motivation to change. This study developed and pilot-tested a theoretically informed digital health intervention ("Drinking Dashboard") for alcohol-induced blackouts.
Data were collected using qualitative (Study 1) and quantitative (Study 2) methods. Participants in both studies were young adults (ages 18-30 years) across the United States who reported alcohol-induced blackout(s) in the past month. Study 1 participants (N = 22, 82% female) piloted the intervention for 1 week and then completed exit interviews to refine the intervention. In Study 2 (N = 169, 57% female), participants were randomly assigned (1:1 ratio) to the dashboard (n = 87) or screen time control (n = 82). Research staff were masked to trial outcomes. Participants in both groups completed baseline measures, 30 days of morning reports, and a three-month follow-up. Primary outcomes included high-intensity drinking, estimated peak blood alcohol concentration (BAC), blackout frequency, and alcohol-related consequences. Analyses were conducted using multilevel generalized linear models. This study aimed to prepare for a future trial of the Drinking Dashboard intervention.
Four of five intervention participants accessed the dashboard, and half viewed it on ≥3 weeks. Per-protocol analyses compared the 74 who accessed the dashboard to 82 control participants (N = 156, 58% female). Overall, 83% of participants rated the dashboard as "good" or "excellent," and 85% recommended it for friends who need help with drinking. Both groups reported decreases in estimated peak BAC, blackouts, and consequences, with no significant group differences over time. However, dashboard participants reported greater decreases in high-intensity drinking at 3 months [est = 0.93, 95% CI (0.04, 1.82)]. No adverse events were reported.
The Drinking Dashboard is feasible and acceptable and may reduce high-intensity drinking among young adults who experience blackouts. Results support a future trial.
酒精导致的“断片”,即饮酒时对所发生事件的记忆丧失,在年轻人中很普遍且成问题。它们也会增加改变的动力。本研究开发并进行了一项基于理论的针对酒精所致断片的数字健康干预措施(“饮酒仪表盘”)的预试验。
采用定性(研究1)和定量(研究2)方法收集数据。两项研究的参与者均为美国18至30岁的年轻人,他们报告在过去一个月内有过酒精所致断片经历。研究1的参与者(N = 22,82%为女性)对干预措施进行了1周的预试验,然后完成退出访谈以完善干预措施。在研究2(N = 169,57%为女性)中,参与者被随机分配(1:1比例)至仪表盘组(n = 87)或屏幕时间对照组(n = 82)。研究人员对试验结果不知情。两组参与者均完成了基线测量、30天的晨间报告以及三个月的随访。主要结局包括高强度饮酒、估计的血液酒精浓度峰值(BAC)、断片频率以及与酒精相关的后果。使用多水平广义线性模型进行分析。本研究旨在为未来饮酒仪表盘干预措施的试验做准备。
五名干预参与者中有四名访问了仪表盘,其中一半在≥3周的时间内查看过。符合方案分析将74名访问仪表盘的参与者与82名对照参与者(N = 156,58%为女性)进行了比较。总体而言,83%的参与者将仪表盘评为“好”或“优秀”,85%的参与者向有饮酒问题的朋友推荐了它。两组报告的估计BAC峰值、断片情况和后果均有所下降,随着时间推移两组之间无显著差异。然而,仪表盘组参与者在3个月时报告高强度饮酒的减少幅度更大[估计值 = 0.93,95%置信区间(0.04,1.82)]。未报告不良事件。
饮酒仪表盘是可行且可接受的,可能会减少有断片经历的年轻人的高强度饮酒。研究结果支持未来进行试验。