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?
基本信息
- 批准号:8853783
- 负责人:
- 金额:$ 2.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:AdolescentAdolescent marijuana useAffectAgeAlcohol consumptionAlcohol or Other Drugs useAlcoholsCharacteristicsComplexConsumptionControl GroupsDataData CollectionData SetDevelopmentDiseaseEnsureEthnic OriginEvaluationFactor AnalysisFellowshipFrequenciesGenderGeographic LocationsGoalsHealthHeterogeneityIndividualKnowledgeLifeLiteratureManuscriptsMarijuanaMediatingMedical MarijuanaModelingMorbidity - disease rateNatureOutcomePatternPoliciesPrevalencePreventionPreventive InterventionPriceProceduresPublicationsRaceReportingResearchResearch PersonnelResourcesSample SizeSocial PerceptionSubstance Abuse DetectionSubstance of AbuseTestingTimeTrainingUnited StatesVariantWorkWritingYouthabstractingadolescent substance abuseage groupalcohol use initiationanalytical methodbinge drinkingcohortdata managementdissemination researchexperiencehigh schoolimplementation researchinterestmarijuana usemeetingsmortalitymultilevel analysispreventpublic health relevanceskillsstatisticssubstance using adolescentstheoriestrend
项目摘要
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(申请人提供):这项研究的目标是研究国家一级大麻扩展政策(MEP)的变化与青少年大麻和酒精使用的趋势之间的关系。这项研究将:(1)评估现有数据资源并编制包含分析所需变量的数据集;(2)确定1993-2011年青少年吸食大麻、酒精和酒精/大麻共同使用情况的估计数;(3)评估:(A)MEP(A)和MEP成分对大麻、酒精及联合使用报告趋势的影响,以及(B)与大麻、酒精及联合使用报告趋势相关的MEP成分。感兴趣的大麻和酒精的主要结果是:1)终身使用的流行率和数量;2)过去30天的使用流行率和数量;3)开始使用的年龄;以及4)过去30天同时使用酒精和大麻的流行率。本研究将采用描述性分析、因素分析和多水平建模的方法。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、酒精和联合使用趋势。作为变量构建的一部分,因子分析将被用来构建一个或多个因子,将非刑事化和医用大麻政策的各个组成部分归类,并作为模型中个别MEP指标的替代品进行测试。将使用多水平建模(MLM)来控制分组之间的相关性以及嵌套在州和年份内的个体青少年层级内的复杂变异性模式。多层次建模有助于探索:(1)多层次分析的关系和(2)跨层次的相互作用。理论上,欧洲议会议员将通过影响价格、可获得性、规范、看法和社会制裁来影响青少年大麻消费。这项研究假设,州MEP(S)的变化将与青少年吸食大麻的更高报告相关。更好地了解不同的MEP(S)可能如何影响青少年大麻、酒精和联合使用,将有助于我们了解何时以及如何最好地有效地预防和干预。这项研究的结果将有助于确定环保部(S)和环保部与青少年大麻、酒精和联合使用相关的政策组成部分。这些知识将有助于制定有针对性的预防和干预措施。这一研究金下的培训将建立在约翰逊女士以前在课程工作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。培训计划将在以下方面培养和磨练专门知识:(1)使用二级数据(例如对YRBSS数据集的评估、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、因素分析),(4)理论和(5)研究传播(例如为专业会议和手稿出版撰写摘要和手稿,与研究人员建立联系等)。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Julie Katherine Johnson其他文献
Julie Katherine Johnson的其他文献
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{{ truncateString('Julie Katherine Johnson', 18)}}的其他基金
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 - 财政年份:2014
- 资助金额:
$ 2.8万 - 项目类别:
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