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Examining person and event level predictors of simultaneous alcohol and marijuana use via mixed methods

通过混合方法检查同时使用酒精和大麻的人和事件水平预测因素

基本信息

批准号：
10237926
负责人：
Holly Kristin Boyle
金额：
$ 3.92万
依托单位：
BROWN UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2022-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10237926
关键词：
20 year old Adolescent Adverse effects Alcohol consumption Alcoholic beverage heavy drinker Alcohols Area Attitude Award Behavior Behavioral Model Cognitive Data Ecological momentary assessment Event Female Funding Goals Happiness Health Heavy Drinking High Prevalence Individual Intention Intervention Interview Knowledge Marijuana Measures Mediating Mediator of activation protein Mentorship Methodology Methods National Institute on Alcohol Abuse and Alcoholism Parents Participant Pathway interactions Perception Persons Positioning Attribute Prevention Protocols documentation Public Health Qualitative Methods Reporting Research Research Methodology Research Personnel Research Training Risk Role Severities Social Environment Techniques Testing Time Training Universities Work Youth addiction alcohol related consequences base behavioral health binge drinking design drinking experience heavy drinking young adult high intensity drinking high risk improved insight interest male marijuana use marijuana user parent project peer population health preventive intervention prospective psychosocial social norm substance misuse substance use theories time use young adult

项目摘要

PROJECT SUMMARY This F31 research and training award will enable the candidate to develop as a public health researcher using advanced methodology and statistical techniques to examine person- and event-level determinants of substance use. Alcohol and marijuana are two of the most commonly used substances among young adults, and most individuals who use both substances use them simultaneously (in the same occasion so their effects overlap). Simultaneous alcohol and marijuana (SAM) use, compared to alcohol or marijuana use alone, is associated with more frequent and intense alcohol use, and a greater number and severity of alcohol-related consequences. Given the high prevalence and adverse effects of SAM use, identification of proximal predictors of SAM use among young adults is important for informing prevention and intervention efforts. The Integrated Behavioral Model (IBM) provides a framework for understanding SAM use by highlighting important psychosocial (attitudes, norms) and contextual (e.g., social context) predictors. The overall aims of the research proposed in this F31 are to characterize event-level SAM use and examine IBM-informed pathways of SAM use among heavy drinking young adults, using a mixed methods approach. First, qualitative methods (individual interviews with 20-28 heavy drinking young adult SAM users) will be used to (a) elucidate topography and proximal antecedents of SAM use among young adult heavy drinkers and (b) inform event-level assessment decisions for an ecological momentary assessment (EMA) protocol for studying discrete substance use events. Subsequently, this F31 application will build upon an NIAAA-funded R01 EMA study (R01AA027495) examining high intensity drinking and alcohol induced blackouts among young adults. The candidate will add SAM-specific measures to one of the R01’s panel assessments and subsequent 30 day EMA burst. Using the first 100 participants who engage in frequent SAM use, the candidate will analyze direct effects of person- and event-level predictors of SAM use, and examine event-level mediators and moderators of the association between psychosocial predictors and SAM use among young adult heavy drinkers. The candidate will work with a highly skilled mentorship team (Drs. Jennifer Merrill, Kristina Jackson, and Kate Carey) at Brown University’s Center for Alcohol and Addiction Studies to build four areas of expertise relevant to this research agenda: (1) content area knowledge of SAM use among young adults; (2) qualitative methods and analysis; (3) EMA methods; and (4) analysis of EMA data. This F31 proposal to understand determinants of SAM use will help to identify intervention targets for young adults who are at high risk for substance misuse and related consequences, and will position the candidate to make important contributions to the field of substance use research.

项目概要该 F31 研究和培训奖将使候选人能够利用以下方法发展成为一名公共卫生研究人员先进的方法和统计技术来检查个人和事件层面的实质决定因素使用。酒精和大麻是年轻人中最常用的两种物质，而且大多数人使用这两种物质的人同时使用它们（在同一场合，因此它们的效果重叠）。与单独使用酒精或大麻相比，同时使用酒精和大麻 (SAM) 与更频繁和更强烈的饮酒，以及更多和更严重的与酒精相关的后果。鉴于 SAM 使用的高流行率和不良影响，确定 SAM 使用的近端预测因子年轻人的认知对于为预防和干预工作提供信息非常重要。综合行为模型 (IBM) 通过强调重要的社会心理（态度、规范）和情境（例如社会情境）预测因子。本 F31 中提出的研究的总体目标旨在描述事件级 SAM 使用的特征，并检查 IBM 告知的酗酒者中 SAM 使用的途径年轻人，使用混合方法。一、定性方法（单独访谈20-28名重饮酒的年轻成年 SAM 用户）将用于 (a) 阐明 SAM 使用的地形和近因 (b) 为生态瞬时事件级评估决策提供信息用于研究离散物质使用事件的评估 (EMA) 协议。随后，这个 F31 应用程序将基于 NIAAA 资助的 R01 EMA 研究 (R01AA027495)，该研究检查高强度饮酒和酒精导致年轻人停电。候选人将向 R01 小组之一添加 SAM 特定措施评估和随后的 30 天 EMA 爆发。使用频繁参与 SAM 的前 100 名参与者使用时，考生将分析 SAM 使用的人员和事件级别预测因素的直接影响，并检查社会心理预测因子与 SAM 使用之间关联的事件级中介变量和调节变量年轻的成年酗酒者。候选人将与高技能的指导团队合作（詹妮弗·梅里尔博士，克里斯蒂娜·杰克逊（Kristina Jackson）和凯特·凯里（Kate Carey）在布朗大学酒精和成瘾研究中心建立了四个与本研究议程相关的专业领域：(1) 年轻人中 SAM 使用的内容领域知识； (2) 定性方法与分析； (3) EMA方法； (4)EMA数据分析。这项 F31 提案旨在了解 SAM 使用的决定因素将有助于确定高中青少年的干预目标药物滥用和相关后果的风险，并使候选人能够做出重要的对物质使用研究领域的贡献。