Natural environment assessment of alcohol responses in risky drinkers

危险饮酒者酒精反应的自然环境评估

基本信息

批准号：
10452362
负责人：
DANIEL J FRIDBERG
金额：
$ 24.84万
依托单位：
UNIVERSITY OF CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-04-20 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10452362
关键词：
Abstinence Acute Address Adherence Adult Age Alcohol abuse Alcohol consumption Alcohols Anxiety Beverages Biosensor Cellular Phone Consumption Data Development Dropout Ecological momentary assessment Enrollment Environment Event Exhibits Future Generations Goals Gold Heavy Drinking Hour Individual Individual Differences Knowledge Laboratories Light Measures Methodology Methods Modality Modeling Moods National Institute on Alcohol Abuse and Alcoholism Negative Reinforcements Outcome Participant Patient Self-Report Pattern Persons Phenotype Placebo Control Positive Reinforcements Reaction Time Reporting Research Research Personnel Resolution Resources Rewards Risk Risk Factors Role Sedation procedure Sensitivity and Specificity Stress Subgroup Sum Surveys Technology Testing Time Training Work Wrist addiction alcohol effect alcohol reinforcement alcohol related consequences alcohol research alcohol response alcohol risk alcohol use disorder allostasis base binge drinking clinically relevant cost drinking drinking behavior experience improved individual response pleasure predictive modeling response sedative self reported behavior sensor social theories user-friendly wearable sensor technology

项目摘要

PROJECT SUMMARY ABSTRACT Laboratory alcohol challenges have provided important knowledge about individual responses to alcohol and risk for drinking-related problems. However, this approach is time- and resource-intensive and cannot fully capture real-world alcohol responses. Therefore, the MPI propose developmental work on a method for assessing ambulatory alcohol responses that combines smartphone-based high-resolution ecological momentary assessment (HR-EMA) with new-generation, wrist-worn alcohol biosensors (BACTrack Skyn™) to provide objective verification of alcohol use. The over-arching goal of this developmental R21 proposal is to compare HR-EMA-derived real-time responses during typical heavy drinking episodes in the natural environment in individuals across the alcohol use continuum, including alcohol use disorder (AUD) drinkers, who have largely been excluded from such research, as well as heavy social drinkers (HD) and light drinker controls (LD). The proposed research will include smartphone assessments throughout a typical drinking episode in participants’ natural environment as well during a comparison non-alcohol drinking beverage consumption episode assessed at approximately the same time but on a different day. Participants will complete brief 1-minute smartphone-based surveys at multiple time points during their drinking episodes to assess their quantity consumed, subjective responses, and contextual events. They will also complete brief daily mood surveys and next-day surveys after the drinking episodes to assess carry-over effects and consequences. The noninvasive wrist-worn sensor will be used during, and for 12 hours after, each drinking episode as objective verification of self-report behavior. The study will enroll 105 participants (35/per subgroup) between ages 21-55 for participation over an approximate one-week interval. We conservatively anticipate up to a 15% drop-out rate in order to have a final N=90 participants. Our first aim is to compare acute subjective responses during alcohol drinking episodes in the natural environment across drinker subgroups. We predict that alcohol will produce higher stimulation, liking, and wanting in AUD and HD than in LD, particularly early in the drinking episode (i.e., first hour) and greater reduction in anxiety and stress in AUD versus HD and LD, after controlling for amount consumed and non-alcohol drinking episode responses. We also predict that wearable biosensors will be acceptable (≥85% use, few losses or damage) and show good sensitivity and specificity detect alcohol use vs. non-use in >90% of episodes. Our second aim is to examine individual differences in acute alcohol responses as a function of drinking pace. We predict that faster-paced alcohol consumption will be positively associated with stimulation and wanting and inversely associated with sedation, and these effects will be most pronounced in AUD vs LD, with HD intermediate. In sum, the proposed research will advance the alcohol research field by expanding HR-EMA methodologies to assess natural environment acute drinking behavior, subjective response, and drinking-related outcomes in diverse, clinically-relevant drinker subgroups.

项目概要摘要实验室酒精挑战提供了有关个人对酒精和酒精反应的重要知识然而，这种方法需要大量时间和资源，并且不能完全缓解。因此，MPI 提出了一种方法的开发工作。评估动态酒精反应，结合基于智能手机的高分辨率生态使用新一代腕戴式酒精生物传感器 (BACTrack Skyn™) 进行瞬时评估 (HR-EMA) 提供酒精使用的客观验证该开发 R21 提案的总体目标是比较自然环境中典型酗酒事件期间 HR-EMA 衍生的实时反应整个饮酒过程中个人的环境，包括酒精使用障碍（AUD）饮酒者，大部分被排除在此类研究之外的人，以及重度社交饮酒者 (HD) 和轻度饮酒者拟议的研究将包括整个典型饮酒过程中的智能手机评估。在参与者的自然环境中以及在比较非酒精饮料期间发生的事件参与者将在大约同一时间但在不同的一天评估消费事件。在饮酒期间的多个时间点完成简短的 1 分钟基于智能手机的调查，以他们还将评估他们的消费量、主观反应和情境事件。每日情绪调查和饮酒后的第二天调查，以评估残留影响和每次饮酒期间以及之后 12 小时内都会使用无创腕戴式传感器。作为自我报告行为的客观验证该研究将招募 105 名参与者（每个小组 35 名）。年龄在 21 岁至 55 岁之间的人的参与时间间隔大约为一周，我们保守地预计这一数字会增加。 15% 的退出率，以便最终获得 N=90 名参与者。我们的首要目标是比较敏锐的主观性。我们预测饮酒者亚群在自然环境中饮酒时的反应。与 LD 相比，AUD 和 HD 会产生更高的刺激、喜好和需求，尤其是早期与 HD 和 LD 相比，AUD 的饮酒事件（即第一个小时）以及焦虑和压力的更大程度减少，在控制了饮酒量和非酒精饮酒事件反应后，我们还预测了这一点。可穿戴生物传感器将是可以接受的（使用率≥85%，很少丢失或损坏），并且表现出良好的灵敏度和特异性检测超过 90% 的饮酒情况和不饮酒情况。我们的第二个目标是检查个体。急性酒精反应随饮酒速度的变化我们预测饮酒速度更快。消耗与刺激和需求呈正相关，与镇静呈负相关，这些影响在 AUD 与 LD 中最为明显，而 HD 处于中间状态。总之，拟议的研究。将通过扩展 HR-EMA 方法来评估自然环境，从而推进酒精研究领域不同临床相关的急性饮酒行为、主观反应和饮酒相关结果饮酒者亚组。