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.

项目摘要 F31研究与培训奖将使候选人能够作为公共卫生研究人员发展先进的方法和统计技术，用于检查底物的人和事件级别的决定者使用。酒精和大麻是年轻人中最常用的两种物质，大多数物质使用两种物质的人都简单地使用它们（在同一情况下，其影响重叠）。与仅使用酒精或大麻相比，同时使用的酒精和大麻（SAM）与更频繁地使用酒精，以及与酒精有关的后果的数量和严重程度。鉴于SAM使用的高患病率和不利影响，SAM使用的近端预测指标在年轻人中，对于预防和干预工作很重要。综合行为模型（IBM）提供了一个框架来理解SAM使用，通过突出重要的社会心理（态度，，规范）和上下文（例如社会环境）预测因素。该F31提出的研究的总体目的是要表征事件级的SAM使用并检查SAM在大量饮用中使用IBM的途径年轻人，使用混合方法方法。首先，定性方法（以20-28重量进行个人访谈喝年轻的成年SAM用户）将用于（a）阐明Sam使用的地形和近端前因在年轻的成人重型饮酒者中，（b）为生态瞬间提供信息级别的评估决定用于研究离散底物使用事件的评估（EMA）方案。随后，此F31应用程序将建立在NIAAA资助的R01 EMA研究（R01AA027495）的基础上，检查了高强度饮酒和酒精年轻人诱发停电。候选人将为R01的一个面板之一添加SAM特定的措施评估和随后的30天EMA爆发。使用经常参与SAM的前100名参与者使用，候选人将分析人使用的人和事件级预测指标的直接影响，并检查事件级的调解人和主持人的社会心理预测因子与SAM使用之间的关联年轻的成人重量饮酒者。候选人将与高技能的Mentalship团队合作（Jennifer Merrill博士，布朗大学酒精与成瘾研究中心的克里斯蒂娜·杰克逊（Kristina Jackson）和凯特·凯里（Kate Carey）与本研究议程相关的专业知识领域：（1）年轻人中SAM使用的内容领域知识；（2）定性方法和分析；（3）EMA方法；（4）EMA数据的分析。这个F31提出的建议了解确定SAM使用的确定将有助于确定高成年人的干预目标物质滥用和相关后果的风险，并将候选人定位对物质使用研究领域的贡献。