DEVELOPMENT OF A MULTIMODAL MOBILE SLEEP INTERVENTION USING WEARABLE TECHNOLOGY TO REDUCE HEAVY DRINKING IN YOUNG ADULTS

摘要 酒精使用障碍（AUD）的发病高峰在年轻的成年期。年轻人报告更频繁，更重 酒精使用比老年人和经验相当大的负面后果（例如，意外伤害）和 发展成慢性AUD的风险。然而，目前的年轻成人酒精干预策略， 方面的影响.为了解决这个问题，我们建议开发一种新的，移动的睡眠干预重度饮酒 年轻人睡眠可能是这个人群的一个有用的治疗目标，原因有几个。睡眠不好是 在大量饮酒的年轻人中很常见，也是澳元风险因素。年轻人也对 帮助他们睡得更好。此外，作为标准实践，行为睡眠干预解决了 酒精使用，并可能提供一个网关干预酒精使用。我们进行了一个初步的测试， 移动的睡眠干预在42个重度饮酒的年轻人。主要内容有：（1）简短，网络- 基于睡眠卫生建议，包括标准建议，以适度饮酒，以改善睡眠和（2）每天 基于网络的睡眠和酒精自我监测加上每天佩戴睡眠/清醒活动跟踪器。我们的结果 在饮酒和睡眠方面表现出良好的效果。干预发展的下一阶段包括 测试我们的干预组件与匹配的控制条件相比， 参与者在治疗后访谈中提出的建议进一步改善了结果。具体而言，参与者 表示更喜欢关于他们的睡眠日记和跟踪器数据的个性化反馈， 酒精使用。此外，令人兴奋的新的酒精生物传感器技术已经出现， 跟踪血液酒精水平，并提供参与者酒精消费的客观测量。通过 这项技术，我们可以提供个性化的酒精-睡眠互动反馈， 睡眠/酒精跟踪器和睡眠/酒精日记数据。目前的提案将开发和测试一种移动的 120名重度饮酒青年人睡眠/酒精自我监测+睡眠/酒精数据反馈干预所有 参与者将每天佩戴睡眠和酒精追踪器。主要干预措施包括：（1）网络 睡眠卫生建议+睡眠/酒精日记自我监测+睡眠/酒精数据反馈。这种情况（n=60） 将与仅包括以下组件的匹配控制条件进行比较：（1）基于Web的睡眠 卫生建议（n=30）或（2）基于网络的睡眠卫生建议+睡眠/酒精日记自我监测（n=30）。的 主要目的是评估睡眠干预成分的可行性、可接受性和初步疗效 酒精的结果，以告知第二阶段随机试验比较最终的睡眠干预与 标准酒精干预这项研究符合NIAAA的战略利益，以确定新的目标， 加强对青年人的酒精预防和干预工作。最终，这项研究可能会导致 一种有效的、低成本的干预措施，通过使用技术和 通过在关键发育阶段降低AUD风险，对公众健康产生重大影响。

ABSTRACT Alcohol use disorder (AUD) onset peaks during young adulthood. Young adults report more frequent, heavier alcohol use than older adults and experience substantial negative consequences (e.g., accidental injury) and risk of developing a chronic AUD. Current young adult alcohol intervention strategies, however, have modest effects. To address this gap, we propose to develop a novel, mobile sleep intervention for heavy-drinking young adults. Sleep may be a useful treatment target for this population for several reasons. Poor sleep is common among young adults who drink heavily and an AUD risk factor. Young adults are also interested in information to help them sleep better. Further, as a standard practice, behavioral sleep interventions address alcohol use and may provide a gateway for intervening on alcohol use. We conducted a preliminary test of a mobile sleep intervention in 42 heavy-drinking young adults. The primary components were: (1) brief, web- based sleep hygiene advice including the standard advice to moderate drinking for better sleep and (2) daily web-based sleep and alcohol self-monitoring plus wearing a sleep/wake activity tracker daily. Our results demonstrated promising effects on drinking and sleep. The next phase of intervention development involves testing our intervention components compared to matched control conditions and whether a new component suggested by participants in post-treatment interviews further improves outcomes. Specifically, participants indicated a preference for personalized feedback about their sleep diary and tracker data and the connections with alcohol use. Additionally, exciting new alcohol biosensor technology has emerged that allows continuous tracking of blood alcohol level and provides an objective measure of participant alcohol consumption. Through this technology we can provide personalized alcohol-sleep interaction feedback using both objective sleep/alcohol trackers and sleep/alcohol diary data. The current proposal will develop and test a mobile sleep/alcohol self-monitoring + sleep/alcohol data feedback intervention in 120 heavy-drinking young adults. All participants will wear sleep and alcohol trackers daily. The primary intervention will include: (1) web-based sleep hygiene advice + sleep/alcohol diary self-monitoring + sleep/alcohol data feedback. This condition (n=60) will be compared to the matched control conditions that only include these components: (1) web-based sleep hygiene advice (n=30) or (2) web-based sleep hygiene advice + sleep/alcohol diary self-monitoring (n=30). The primary objective is to evaluate sleep intervention component feasibility, acceptability, and preliminary efficacy on alcohol outcomes to inform a Stage II randomized trial comparing the final sleep intervention with a standard alcohol intervention. This study is in line with NIAAA’s strategic interest to identify novel targets to improve alcohol prevention and intervention efforts for young people. Ultimately, this research could result in an efficacious, low-cost intervention that has broad population reach through the use of technology and a substantial public health impact by reducing AUD risk at a crucial developmental stage.