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Personalized mobile app intervention: Challenging alcohol expectancies to reduce high-risk alcohol use and consequences

个性化移动应用程序干预：挑战酒精期望以减少高风险酒精使用和后果

基本信息

批准号：
10231223
负责人：
CHRISTINE M. Lee
金额：
$ 44.73万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-04-01 至 2024-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10231223
关键词：
Address Age Alcohol consumption Alcohols Attention Behavioral Car Phone Characteristics Clinical Communities Control Groups Data Data Collection Development Effectiveness Event Exhibits Expectancy Experimental Designs Feedback Future Gender Goals Individual Infrastructure Intervention Learning Link Measurement Mediating Mediator of activation protein Methods Modeling Moods Names National Institute on Alcohol Abuse and Alcoholism Participant Prevention program Process Randomized Relaxation Reporting Research Sampling Secondary Schools Students Testing Time Treatment Efficacy Underserved Population Universities Work alcohol consequences alcohol effect alcohol expectancy alcohol measurement alcohol research base college college drinker college drinking community college community intervention comparative efficacy cost design drinking efficacy testing expectation experience follow-up high intensity drinking high risk high risk drinking in vivo mobile computing programs recruit reduced alcohol use smartphone Application social student drinking substance use university student

项目摘要

PROJECT SUMMARY / ABSTRACT Alcohol is the most prevalent psychoactive substance used by students in post-secondary education and is associated with a variety of short- and long-term negative consequences. Although many students experience negative consequences, some continue to drink at problematic levels. The present proposal extends a program of research focused on understanding daily process models of alcohol expectancies, alcohol use, and related consequences by developing a mobile phone intervention for community college and 4-year college students. Our prior work (R01AA016979, PI Lee) examined how expectancies influence drinking and consequences later that day; how learning might take place when examining the influence of consequences on future expectations of alcohol's effects; and for whom these relationships exist. We collected data three times a day for 2 weeks in each of four quarters across 1 year. We found important links between daily alcohol expectancies and next-day high-risk alcohol use and between daily consequences and next-day expectancies. Overall, findings have important implications for timing of intervention delivery to target daily expectancies. The present study tests an intervention based on these findings, with real-time feedback using individuals' daily expectancies, use, and consequences, and builds on two NIAAA-endorsed strategies for addressing high-risk college student drinking: challenging alcohol-related expectancies, traditionally done through in-vivo experimental designs, and electronic personalized feedback. Limitations of in-vivo alcohol expectancy challenge (AEC) interventions include low utilization due to lack of feasibility for widespread implementation. Therefore, the present competing renewal application will design a mobile phone application (app) for data collection and intervention. This electronic, mobile AEC (mAEC) intervention is designed to challenge daily- level alcohol expectancies and reduce high-risk drinking and negative consequences. We will incorporate methods and results from our prior R01 to develop mAEC, which will be implemented daily across 14 days with follow-ups through 12 months. The mAEC will provide personalized, daily feedback based on students' drinking intentions, alcohol expectancies, and consequences. A sample of 450 high-risk college drinkers from both community and 4-year colleges will be recruited and randomized to one of two conditions to compare the efficacy of the mAEC and an assessment-only control (AOC) condition. Specific aims are to examine (1) the efficacy of the mAEC intervention relative to AOC, (2) global expectancies as mediators of intervention efficacy, and (3) whether the intervention weakens the daily link between positive expectancies and consequences and strengthens the daily link between negative expectancies and consequences. The mAEC intervention has the potential to have a major impact on the field because it will be scalable and easily disseminated. The development of an empirically-supported intervention that targets individuals' daily alcohol expectancies and drinking intentions may prove particularly efficacious.

项目概要/摘要酒精是高等教育学生最普遍使用的精神活性物质，与各种短期和长期负面后果有关。虽然很多同学都经历过一些人继续以有问题的水平饮酒。本提案扩展了研究计划的重点是了解酒精预期、酒精使用和饮酒的日常过程模型通过为社区大学和四年制大学开发手机干预措施来减少相关后果学生。我们之前的工作（R01AA016979，PI Lee）研究了期望如何影响饮酒和饮酒当天晚些时候的后果；当检查后果的影响时，学习是如何发生的对酒精影响的未来预期；以及这些关系是为谁而存在。我们每年收集三次数据一年中的四个季度，每个季度为期 2 周。我们发现日常饮酒之间存在重要联系预期和第二天的高风险饮酒以及日常后果和第二天的预期之间的关系。总体而言，研究结果对于实现每日预期目标的干预时间安排具有重要意义。这目前的研究测试了基于这些发现的干预措施，并使用个人的日常情况进行实时反馈预期、使用和后果，并建立在 NIAAA 批准的两项解决高风险策略的基础上大学生饮酒：挑战传统上通过体内完成的与酒精相关的期望实验设计和电子个性化反馈。体内酒精预期的局限性挑战（AEC）干预措施的利用率较低，因为缺乏广泛实施的可行性。因此，目前竞争的更新应用程序将设计一个用于数据的手机应用程序（app）收集和干预。这种电子、移动 AEC (mAEC) 干预措施旨在挑战日常- 降低饮酒预期并减少高风险饮酒和负面后果。我们将纳入我们之前的 R01 开发 mAEC 的方法和结果，将在 14 天内每天实施随访 12 个月。 mAEC 将根据学生的情况提供个性化的每日反馈饮酒意图、饮酒预期和后果。来自 450 名高风险大学饮酒者的样本社区大学和四年制大学都将被招募并随机分配到两种条件之一，以比较 mAEC 和仅评估对照 (AOC) 条件的功效。具体目标是检查 (1) mAEC 干预相对于 AOC 的功效，(2) 作为干预中介的全球预期功效，以及（3）干预措施是否削弱了积极预期与预期之间的日常联系。后果，并加强负面预期和后果之间的日常联系。毫安EC 干预有可能对该领域产生重大影响，因为它具有可扩展性且易于实施传播。针对个人日常饮酒量的实证支持干预措施的开发预期和饮酒意图可能特别有效。