Maximizing geospatial methods to understand emotional processes in Stress-Related Drinking Risk

最大限度地利用地理空间方法来了解与压力相关的饮酒风险中的情绪过程

• 批准号: 10391669
• 负责人: JENNIFER P. READ
• 金额: $ 22.93万
• 依托单位: STATE UNIVERSITY OF NEW YORK AT BUFFALO
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-25 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10391669
• 关键词: Adoption; Affect; Affective; Alcohol abuse; Alcohols; Behavioral; Cellular Phone; Code; Cognitive; Communities; Consumption; Coupled; Cues; Data; Data Reporting; Dimensions; Ecological momentary assessment; Emotional; Environment; Environmental Risk Factor; Exposure to; Feedback; Geography; Goals; Grain; Individual; Information Technology; Intervention; Interview; Knowledge; Lead; Life; Link; Location; Methodology; Methods; Movement; Outcome; Participant; Patient Self-Report; Pattern; Persons; Play; Process; Protocols documentation; Reporting; Risk; Role; Sampling; Self Assessment; Stress; Technology; Testing; Time; alcohol cue; alcohol effect; alcohol exposure; alcohol seeking behavior; design; drinking; emotion regulation; experience; experimental study; follow-up; indexing; knowledge base; negative affect; therapy development; time use

ABSTRACT Negative affect (NA) and difficulty regulating this affect (ER) are key determinants of drinking risk. Experimental data have shown that alcohol cues augment NA effects and compromise ER capabilities, further contributing to drinking vulnerability. Yet, these studies have been limited to the lab, and lack ecological validity. No studies have examined affect and ER as they occur in daily life, in real time and in real settings. This is an important gap in the knowledge base, as an understanding of how environmental circumstances may influence the affective processes implicated in drinking could inform intervention. Geospatial information (GI) technology can enhance understanding of the daily life alcohol cue environment. This includes two key dimensions of the environment: momentary environmental cue influences (i.e. alcohol environments that a person is exposed to while experiencing NA), and aggregate environmental influences (i.e., typical patterns of movement within alcohol cue environments over time). In this application, we propose a fine-grained examination of how alcohol cue environments contextualize affect, ER, and drinking risk in daily life. Our community sample (N=220) will complete a baseline assessment, and a 14-day EMA protocol to examine how alcohol cues in the environment may contextualize NA and efforts to regulate NA. Using time- stamped geolocation data and daily EMA reports, environmental influences will be examined at both the momentary (i.e., the context at the time that NA is occurring), and aggregate (i.e., typical patterns of interaction with the environment) level across the 14-day assessment period. GPS, EMA self-report, and interview data will be used together to depict environmental influences, and GPS/EMA self-report will be used to temporally link NA (Aim 1a,1b) and ER (Aim 2a,2b) to alcohol cue environmental, and to examine how these factors lead to cognitive (urge to drink) and behavioral (alcohol seeking, drinking) drinking risk in real-time. In exploratory analyses, we will examine the interactive effects of NA X ER X Environment (Aim 2c). Because a long-term goal is to use these data to inform intervention development, in Aim 3, a randomly selected subset (n=30) of the sample will received personalized feedback about affect-related drinking in the context of idiographic environmental risk. Another (n=30) will be assessed but receive no feedback. Both groups with be followed over 1-month. This study will be the first to our knowledge to examine the contributions of NA and ER to drinking risk in the context of daily life environments. Findings can inform next steps for larger-scale studies, and can be applied to the development of interventions that consider the individual in the context of daily life.

抽象的 负面情绪（NA）和调节这种情绪的困难（ER）是 饮酒风险。实验数据表明，酒精信号会增强 NA 效应， 损害 ER 功能，进一步加剧饮酒脆弱性。然而，这些研究 仅限于实验室，缺乏生态有效性。没有研究检验过影响和 ER 发生在日常生活中、实时且真实的环境中。这是一个重要的差距 知识库，作为对环境条件如何影响的理解 与饮酒有关的情感过程可以为干预提供信息。地理空间信息 (GI) 技术可以增强对日常生活酒精提示环境的了解。这包括 环境的两个关键维度：瞬时环境线索影响（即酒精 一个人在经历 NA 时所接触的环境），以及总体环境 影响（即，随着时间的推移，酒精提示环境中的典型运动模式）。 在此应用程序中，我们建议对酒精提示如何进行细粒度检查 环境将日常生活中的情感、ER 和饮酒风险联系起来。我们的社区样本 (N=220) 将完成基线评估和 14 天 EMA 协议，以检查如何 环境中的酒精暗示可能会将 NA 和调节 NA 的努力联系起来。使用时间- 加盖地理定位数据和每日 EMA 报告，环境影响将在 瞬时（即 NA 发生时的上下文）和聚合（即 14 天评估期内与环境相互作用的典型模式）水平。 GPS、EMA 自我报告和访谈数据将一起用于描述环境 影响，GPS/EMA 自我报告将用于临时链接 NA（目标 1a,1b）和 ER （目标 2a，2b）酒精提示环境，并检查这些因素如何导致认知 实时饮酒（冲动饮酒）和行为（饮酒、饮酒）饮酒风险。处于探索之中 分析中，我们将检查 NA X ER X 环境的交互影响（目标 2c）。因为 长期目标是利用这些数据为干预措施的制定提供信息，在目标 3 中，随机 选定的样本子集 (n=30) 将收到有关情感相关的个性化反馈 在具体的环境风险背景下饮酒。将评估另一个 (n=30)，但 没有收到任何反馈。两组均被随访超过 1 个月。这项研究将首次 我们的知识可以检验 NA 和 ER 对日常饮酒风险的影响 生活环境。研究结果可以为更大规模研究的下一步提供信息，并可应用于 制定在日常生活中考虑个人的干预措施。