Do State Marijuana Policies Affect Adolescent Marijuana and Alcohol Use?

州大麻政策会影响青少年大麻和酒精的使用吗？

• 批准号: 8783159
• 负责人: Julie Katherine Johnson
• 金额: $ 2.75万
• 依托单位: BRANDEIS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8783159
• 关键词: Adolescent; Affect; Age; Alcohol consumption; Alcohol or Other Drugs use; Alcohols; Characteristics; Complex; Consumption; Control Groups; Data; Data Collection; Data Set; Development; Disease; Ensure; Ethnic Origin; Evaluation; Factor Analysis; Fellowship; Frequencies; Gender; Geographic Locations; Goals; Health; Heterogeneity; Individual; Knowledge; Life; Literature; Manuscripts; Marijuana; Marijuana Smoking; Mediating; Medical Marijuana; Modeling; Morbidity - disease rate; Nature; Outcome; Pattern; Policies; Prevalence; Prevention; Preventive Intervention; Price; Procedures; Publications; Race; Reporting; Research; Research Personnel; Resources; Sample Size; Social Perception; Substance Abuse Detection; Substance of Abuse; Testing; Time; Training; United States; Variant; Work; Writing; Youth; abstracting; adolescent substance abuse; age group; alcohol use initiation; analytical method; binge drinking; cohort; data management; dissemination research; experience; high school; implementation research; interest; meetings; mortality; multilevel analysis; prevent; public health relevance; skills; statistics; substance using adolescents; theories; trend

DESCRIPTION (provided by applicant): The goal of this study is to examine the relationship between state-level Marijuana Expansion Policy (MEP) changes and trends in adolescent marijuana and alcohol use in adolescents. This study will: (1) evaluate available data resources and prepare a dataset containing the necessary variables for analyses, (2) determine adolescent marijuana, alcohol and alcohol/marijuana co-use estimates for 1993-2011, and (3) assess: (a) the effect of MEP(a) and MEP components on trends in report of marijuana, alcohol, and co-use and (b) MEP components that associate with trends in report of marijuana, alcohol, and co-use. The primary marijuana and alcohol outcomes of interest are: 1) lifetime use prevalence and quantity; 2) past-30-day use prevalence and quantity; 3) age of initiation; and 4) past 30-day concurrent alcohol and marijuana use prevalence. Descriptive analyses, factor analyses and multilevel modeling will be employed in this study. Once all variables are constructed, the YRBSS specific marijuana, alcohol, and co-use trends will be examined using univariate statistics and bivariate analyses. As part of variable construction, factor analyses wil be used to construct one or more factors categorizing the various components of decriminalization and medical marijuana policies and tested as alternatives to individual MEPs indicators in the models. Multilevel Modeling (MLM) will be used to control for correlation among clusters and complex patterns of variability within the hierarchy of individual adolescents nested within both states and years. Multilevel modeling assists in the exploration of: (1) relationships at multiple levels of analysis and (2) cross-level interactions. It is theorized that MEPs will afect adolescent marijuana consumption by influencing price, availability, norms, perceptions, and social sanctions. The study hypothesizes that changes in state MEP(s) will be associated with higher report of adolescent marijuana use. A better understanding how varying MEP(s) may affect adolescent marijuana, alcohol, and co-use will help us understand when and how best to prevent and intervene effectively. The results from this study will assist to identify MEP(s) and MEPs policy components that are associated with adolescent marijuana, alcohol and co-use use. This knowledge will lend itself to the development of targeted prevention and interventions. Training under this fellowship would build on Ms. Johnson's previous methodological and analytical skills cultivated in coursework and related research experience to ensure rigorous and timely study completion. The training plan will build develop and hone expertise in: (1) working with secondary data (e.g. assessment of YRBSS datasets, missing data etc.), (2) data management (e.g. constructing necessary variables, merging multiple datasets etc.), (3) quantitative analytical methods (multilevel modeling, factor analyses), (4) theory and (5) research dissemination (e.g. writing abstracts and manuscripts for professional meetings and manuscript publication, networking with researchers etc.).

描述（由申请人提供）：本研究的目的是探讨国家级大麻扩张政策（MEP）的变化与青少年大麻和酒精使用趋势之间的关系。本研究将：(1)评估可用的数据资源，并准备一个包含必要变量的数据集进行分析；(2)确定1993-2011年青少年大麻、酒精和酒精/大麻共同使用的估计；(3)评估：(a) MEP(a)和MEP成分对大麻、酒精和共同使用报告趋势的影响；(b)与大麻、酒精和共同使用报告趋势相关的MEP成分。大麻和酒精的主要结局是：1)终生使用的流行程度和数量；2)过去30天的使用情况及数量；3)入会年龄；4)过去30天同时使用酒精和大麻的流行程度。本研究将采用描述性分析、因子分析和多层次模型。一旦构建了所有变量，将使用单变量统计和双变量分析来检查YRBSS特定的大麻，酒精和共同使用趋势。作为变量构建的一部分，因子分析将用于构建一个或多个因素，对大麻非刑事化和医用大麻政策的各个组成部分进行分类，并作为模型中单个MEPs指标的替代品进行测试。多层次建模（MLM）将用于控制集群之间的相关性和复杂模式的可变性内嵌套在两个州和年份的青少年个体的层次结构。多层建模有助于探索：(1)多层分析中的关系和(2)跨层交互。从理论上讲，欧洲议会议员将通过影响价格、可获得性、规范、认知和社会制裁来影响青少年大麻消费。该研究假设，州MEP(s)的变化将与青少年大麻使用的高报告有关。更好地了解不同的MEP(s)如何影响青少年大麻、酒精和共同使用，将有助于我们了解何时以及如何最好地预防和有效干预。本研究的结果将有助于确定与青少年大麻、酒精和共同使用有关的欧洲议会议员和欧洲议会议员政策成分。这些知识将有助于制定有针对性的预防和干预措施。该奖学金的培训将建立在Johnson女士之前在课程和相关研究经验中培养的方法和分析技能的基础上，以确保严格和及时地完成研究。培训计划将培养和培养以下方面的专业知识：(1)处理二手数据（例如评估YRBSS数据集，缺失数据等），(2)数据管理（例如构建必要的变量，合并多个数据集等），(3)定量分析方法（多层次建模，因子分析），(4)理论和(5)研究传播（例如为专业会议和手稿撰写摘要和手稿，与研究人员建立联系等）。