Characterizing individual differences in the reciprocal relationship between sleep deprivation and binge drinking within the context of college life

摘要 有强有力的证据表明，包括糟糕的睡眠卫生和酗酒在内的不适应行为正在出现。 在大学环境中。当循环重复时，养成习惯的风险就会增加。这可能有助于 与成瘾、精神疾病和身体疾病的发展有关。慢性睡眠剥夺和 经常过量饮酒会扰乱行为和生理功能，它们之间的关系似乎是存在的 互惠。关于酒精-睡眠关系中的个体差异的研究在很大程度上还没有被探索，但可能 确定酒精滥用的短期和长期风险的推定生物标志物。这项提议的公共卫生 其重要意义在于它有可能减少大学生与酒精有关的直接伤害，并 为改善睡眠和酒精使用障碍患者的生活制定科学前提。建议 研究建立在对大学生的持续纵向研究(R01 AA027017)的基础上，使用其参与者， 每周饮酒数据和生理协议。它将睡眠和酒精的关系映射到个人身上 饮酒狂欢。它将自我报告的睡眠质量与睡眠行为的客观测量(活动记录法)和 在饮酒比赛之前、期间和之后收集的生理学(多导睡眠图)。睡眠是 作为一种可在离散内和跨离散测量的多维动态行为来运行 剧集。自我报告的酒精使用和后果与心血管反应性测试相匹配 客观地评估饮酒的近端生理反应。研究1(n=150)为期一周 睡眠持续时间、计时和碎裂的动态研究。目标1侧重于睡眠前的行为 饮酒事件(即醉酒前)，并评估累积睡眠欠债和睡眠不规律如何影响 根据自我报告和心血管疾病测量饮酒直接后果的个体差异 反应性。目标2针对饮酒事件当晚的睡眠(即，在醉酒期间)，并评估个人 急性酒精对睡眠数量和质量的影响差异以及与酒精使用的关系 在接下来的一周和两年多的时间里的行为。研究2(n=25)包括在家中过夜 在饮酒后的晚上和不饮酒后的晚上进行多导睡眠监测 评估睡眠结构(例如，花在快速眼动(REM)和慢波睡眠上的时间)的变化。目标 3探讨了在从饮酒中恢复(即，醉酒后)过程中睡眠是如何改变的，如果个体 睡眠生理学的差异与睡眠行为和心血管生理学有关。此应用程序 通过使用睡眠和酒精使用的多级别评估进行创新；同时收集目标 数据可能有助于解开背景对自我报告的影响。它还创新了多PI设计， 确保在酒精和睡眠领域的主要专业知识。拟议研究的附加值来自于 从产生的密集、日级、纵向数据中获得有可能生成二次分析的数据 重点关注了受试者内随时间变化的酒精-睡眠关系的事件级数据。

Abstract There is strong evidence that maladaptive behaviors, including poor sleep hygiene and binge drinking, emerge in the college environment. When repeated in cycles, risk of habit development increases. This may contribute to the development of addiction, psychiatric illness, and physical disease. Both chronic sleep deprivation and frequent excessive alcohol use disrupt behavioral and physiological functioning, and their relationship appears reciprocal. Research on individual differences in the alcohol-sleep relationship is largely unexplored, but may identify putative biomarkers for immediate and long-term risks of alcohol misuse. This proposal's public health significance stems from its potential to reduce immediate alcohol-related harms in college students and develop scientific premise for improving the lives of individuals with sleep and alcohol use disorders. Proposed studies build from an ongoing longitudinal study of college students (R01 AA027017), using its participants, weekly drinking data, and physiological protocols. It maps the sleep-alcohol relationship onto individual drinking bouts. It pairs self-reported sleep quality with objective measures of sleep behavior (actigraphy) and physiology (polysomnography) that are collected before, during, and after a drinking bout. Sleep is operationalized as a multidimensional and dynamic behavior that is measurable within and across discrete episodes. Self-reported alcohol use and consequences are paired with a cardiovascular reactivity test that objectively assesses proximal physiological repercussions of drinking. Study 1 (n= 150) is a one-week actigraphy study of sleep duration, timing, and fragmentation. Aim 1 focuses on sleep behaviors preceding a drinking event (i.e., pre-intoxication) and assesses how cumulative sleep debt and sleep irregularity influence individual differences in the immediate consequences of drinking measured from self-report and cardiovascular reactivity. Aim 2 targets sleep on the night of a drinking event (i.e., during intoxication) and assesses individual differences in acute alcohol effects on sleep quantity and quality, as well as associations with alcohol use behaviors across the subsequent week and over 2-years. Study 2 (n=25) involves at-home, overnight polysomnography sessions on a night following a drinking night and on a night that does not follow drinking to assess sleep architecture (e.g., time spent in rapid eye movement (REM) and slow-wave sleep) changes. Aim 3 explores how sleep is altered during recovery (i.e., post-intoxication) from drinking and if individual differences in sleep physiology relate to sleep behavior and cardiovascular physiology. This application innovates through its use of multi-level assessments of sleep and alcohol use; concurrently collecting objective data may help dissociate contextual influences on self-report. It also innovates with a multi-PI design that ensures primary expertise in both the alcohol and sleep fields. Added value for the proposed studies comes from the resulting intensive, day-level, longitudinal data that has the potential to generate secondary analyses focused on event-level data of within-subject alcohol-sleep relationships across time.