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 负面影响（NA）和调节这种影响的难度是（er）是关键决定因素 饮酒风险。实验数据表明，酒精提示增强了NA效应和 折衷的ER能力，进一步导致饮酒脆弱性。但是，这些研究 已经限于实验室，并且缺乏生态有效性。没有研究检查影响和 当它们在日常生活中，实时和实际环境中发生时。这是一个重要的差距 知识基础，以理解环境环境如何影响 涉及饮酒的情感过程可以为干预提供依据。地理空间信息（GI） 技术可以增强对日常生活的酒精提示环境的了解。这包括 环境的两个关键维度：瞬时环境提示影响（即酒精 一个人在体验NA时面临的环境）并汇总了环境 影响（即随着时间的流逝，酒精提示环境中的典型运动模式）。 在此应用中，我们提出了对酒精提示的细粒度检查 环境将日常生活中的影响，急诊室和饮酒风险相关。我们的社区样本 （n = 220）将完成基线评估和14天EMA协议，以研究如何 环境中的酒精提示可能会使NA和规范NA的努力进行情况。使用时间 - 盖章地理位置数据和每日EMA报告，将检查环境影响 瞬间（即NA发生时的上下文）和汇总（即， 在整个14天评估期内，与环境水平的典型相互作用模式。 GPS，EMA自我报告和访谈数据将共同描绘环境 影响力和GPS/EMA自我报告将用于暂时连接Na（AIM 1A，1B）和ER （AIM 2A，2B）饮酒提示环境，并检查这些因素如何导致认知 （敦促喝酒）和行为（寻求酒精，饮酒）实时饮酒风险。在探索性 分析，我们将检查Na X ER X环境的交互作用（AIM 2C）。因为 一个长期的目标是使用这些数据在AIM 3中为干预开发提供信息。 样本的选定子集（n = 30）将收到有关情感相关的个性化反馈 在特殊环境风险的背景下喝酒。将评估另一个（n = 30），但 没有收到反馈。两组都遵循超过1个月。这项研究将是第一个 我们的知识是在每天的情况下检查Na和Er对饮酒风险的贡献 生活环境。调查结果可以为大规模研究的下一步提供信息，可以应用于 在日常生活中考虑个人的干预措施的发展。