High-Intensity Drinking and Alcohol-Induced Blackouts among Young Adult Drinkers: An Event-level Analysis

项目总结 三分之一的年轻人过去有高强度饮酒(HID；女性8+饮酒/男性10+饮酒) 一年，使他们面临酒精使用的严重严重后果(例如，严重伤害、过量用药)的风险。 此外，三分之一到一半的年轻成年饮酒者报告了酒精诱导的昏迷(AIB)，这是一种结果 与HID事件截然不同。到目前为止，大多数关于HID和AIB的研究都是横断面的、回顾性的和 仅在大学生中进行，几乎没有透露导致HID或AIB的具体饮酒事件。 还需要这些活动期间饮酒情况的客观指标，这在以下方面是可行的 生物传感器技术。更多地了解饮酒模式、近端前因和后果 HID和AIB对于继续发展和完善有效的干预措施是必不可少的 最危险的饮酒者。这项研究的具体目的是：(1)阐明饮酒的地形 在以HID和/或AIB为特征的自然饮酒事件期间的事件级别，使用自报的 通过生态瞬时评估(EMA)和客观生物传感器数据捕获饮酒；(2)确定 事件级行为前置因素(游戏前、饮酒游戏、保护性行为策略)和 社会心理因素(饮酒动机、意愿、意图、情感、社会背景)以及积极因素 和HID事件的负面后果；(3)隔离事件级因素，使AIB风险增加超过 醉酒(联合使用其他药物、睡眠不足、意愿、意图)；和(4)检查 HID、AIB和相关负面后果在三年中的频率和关联 评估。首先，将使用关键线人访谈(n=20-28)来收集关于以下方面的相关性的数据 HID预测的理论基础认知和行为因素、社会背景、情感和其他因素， 以及确定HID对年轻人的影响。接下来，在测量爆发式设计中，200名年轻人 成人将在12个月内完成面对面评估和三次为期30天的每日EMA评估 间隔时间，结合使用生物传感器技术的酒精消耗量的客观测量。我们 寻求区分HID和AIB相对于所有其他饮酒的事件水平预测因子和结果 事件，以及与大量间歇性饮酒(4+/5+饮酒)相关的，以隔离个人处于什么位置 这对这些人来说是独一无二的风险，尤其是与结果有关的风险。将使用多水平模型来确定预测值 以及作为每个饮酒事件是否以HID或AIB为特征的函数的结果。评选结果 拟议的研究将提供有关这两个公共卫生问题的近期预测因素的新信息 在年轻人中。这项创新研究将有助于确定干预措施的激励目标，并在 为制定减少HID、AIB和HID的预防干预措施提供理论和经验依据。 其他与酒精有关的严重后果。

PROJECT SUMMARY One in three young adults engage in high intensity drinking (HID; 8+ drinks for women/10+ for men) in the past year, placing them at risk for serious acute consequences of alcohol use (e.g., severe injury, overdose). Further, one third to one half of young adult drinkers report alcohol-induced blackouts (AIB), an outcome distinct from HID episodes. Most research to date on HID and AIB has been cross-sectional, retrospective, and conducted exclusively in college students, revealing little about specific drinking events leading to HID or AIB. Needed also are objective indicators of the topography of drinking during these events, which is feasible with biosensor technology. Understanding more about drinking patterns, proximal antecedents and consequences of HID and AIB is imperative to the continued development and refinement of effective interventions for the most at-risk drinkers. The specific aims of this study are to: (1) elucidate the topography of drinking at the event-level during naturally occurring drinking events characterized by HID and/or AIB, using both self-reported drinking captured via ecological momentary assessment (EMA) and objective biosensor data; (2) determine event-level behavioral antecedents (pregaming, drinking games, protective behavioral strategies) and psychosocial antecedents (drinking motives, willingness, intentions, affect, social context), as well as positive and negative consequences of HID events; (3) isolate event-level factors that increase AIB risk beyond level of intoxication (co-use of other drugs, inadequate sleep, willingness, intentions); and (4) examine changes in frequency of and associations among HID, AIB, and related negative consequences across three annual assessments. First, key informant interviews (n=20-28) will be used to gather data on the relevance of theoretically-based cognitive and behavioral factors, social context, affect and other factors in the prediction of HID, as well as to identify consequences of HID for young adults. Next, in a measurement burst design, 200 young adults will complete in-person assessments and three 30-day bursts of daily EMA assessments at 12-month intervals, in combination with objective measurement of alcohol consumption using biosensor technology. We seek to differentiate the event-level predictors and outcomes of HID and AIB relative to all other drinking events, and relative to heavy episodic drinking (4+/5+ drinks), in order to isolate what places an individual at unique risk for these particularly concerning outcomes. Multilevel models will be used to determine predictors and outcomes as a function of whether each drinking event is characterized by HID or AIB. The results of the proposed research will provide novel information on proximal predictors of these two public health concerns among young adults. This innovative study will help to determine motivational targets for interventions, and in doing so, provide theoretical and empirical bases for designing preventive interventions to reduce HID, AIB and other severe alcohol-related consequences.