Age-Varying Effects in the Epidemiology of Drug Abuse

药物滥用流行病学中的年龄变化影响

• 批准号: 9276648
• 负责人: STEPHANIE T LANZA
• 金额: $ 22.61万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9276648
• 关键词: Address; Adolescence; Adult; Age; Alcohols; Behavior; Behavioral; Centers for Disease Control and Prevention (U.S.); Communities; Comorbidity; Complex; Cross-Sectional Studies; Data; Data Analytics; Data Quality; Data Set; Dependence; Development; Developmental Course; Distal; Drug abuse; Drug usage; Educational workshop; Employment; Enrollment; Epidemiology; Ethnic Origin; Feeling suicidal; Gender; Grant; Health; Individual; Intercept; Intervention; Knowledge; Light; Marijuana; Marital Status; Marriage; Mental Health; Mental disorders; Methods; Modeling; National Longitudinal Survey of Adolescent to Adult Health; Paper; Parents; Pharmaceutical Preparations; Pharmacoepidemiology; Population; Prevalence; Prevention; Process; Public Health; Race; Research; Research Personnel; Risk; Risk Behaviors; Risk Factors; Role; Schools; Scientist; Subgroup; Surveys; Teenagers; Time; Tobacco; Treatment Efficacy; United States; Work; adolescent health; age related; attributable mortality; college; cost; depressive symptoms; drug efficacy; effective intervention; flexibility; health disparity; improved; innovation; insight; peer; psychological distress; public health relevance; response; sex; theories; therapy design; trend

 DESCRIPTION (provided by applicant): To improve the efficiency and efficacy of drug abuse interventions, an understanding of the age-related changes in behavior prevalences, comorbidities, and health disparities, and the evolving role of various risk factors from adolescence through middle adulthood, is crucial. Today there is an unprecedented amount of existing high-quality data that have enormous potential to shed new light on these issues. Many of these data sets are nationally representative, drawn from populations that span a wide range of ages. New methods now exist to tap those data in order to address important, new scientific questions about drug use, abuse, and dependence (drug UAD) from a developmental perspective. To this end, we propose the innovative application of the time-varying effect model (TVEM) to data from two complementary national studies of health risk behaviors: The National Longitudinal Study of Adolescent Health (N=20,745) and the 2012 National Survey on Drug Use and Health (N=63,809). TVEM flexibly estimates behavior prevalences and associations among variables as continuous, flexible functions of age. Specifically, the specific aims for this projec are as follows. (1) To model flexible, age-varying trends in drug UAD from adolescence into middle adulthood. We will estimate rates of alcohol, tobacco, marijuana, and other drug use, abuse and dependence as a complex function of continuous age from ages 12 to 50. Trends will be estimated across sex and race/ethnicity to document age-varying health disparities. (2) To elucidate the age-varying role of mental health problems in the course of drug UAD from adolescence into middle adulthood. We will examine how depressive symptoms and suicidal ideation are differentially associated with drug UAD as a continuous, complex function from ages 12 to 50. (3) To estimate age-varying effects of early and concurrent risk factors on drug UAD from adolescence into middle adulthood. We will examine how and when specific risk and protective factors are associated with drug UAD from ages 12 to 50. We will consider early risk factors at the individual, parent, peer, school, and community levels, as well as concurrent factors such as marriage and parenthood. (4) To examine contributors to health disparities in drug use. To advance understanding of the developmental course of health disparities, we will examine sex and race/ethnicity as moderators of (a) age-varying comorbidities of drug UAD and mental health problems and (b) age-varying associations between risk factors and drug UAD. This project will provide knowledge about the developmental course of drug UAD and related health disparities, allowing prevention scientists and clinicians to design interventions that matc the most promising mechanisms of change to the most appropriate age period within population subgroups. To maximize the project's overall impact, we will actively disseminate this promising new analytic approach to drug abuse researchers.

 描述（由适用提供）：为了提高药物滥用干预措施的效率和有效性，了解与年龄相关的行为流行率，合并症和健康差异的变化以及从青少年到成年中期的各种风险因素的不断发展的作用，至关重要。如今，有大量现有的高质量数据具有巨大的潜力，可以使这些问题发明新的启示。这些数据集中的许多是全国代表性的，是从跨越各个年龄段的人群中得出的。现在已经存在新的方法来利用这些数据，以便从发展的角度解决有关药物使用，滥用和依赖（药物UAD）的重要科学问题。为此，我们提出了随时间变化效应模型（TVEM）的创新应用到来自两种全国性健康风险行为研究的数据：国家青少年健康纵向研究（N = 20,745）和2012年全国药物使用和健康调查（n = 63,809）。 TVEM柔性估计行为流行率和变量之间的关联是年龄的连续，灵活的功能。具体而言，该项目的具体目标如下。 （1）模拟从青少年到成年中期的药物UAD的柔性，年龄变化的趋势。我们将估计酒精，烟草，大麻以及其他毒品使用，滥用和依赖性的速度是12至50岁的连续年龄的复杂功能。趋势将在性别和种族/种族中估算，以记录年龄变化的健康差异。 （2）阐明心理健康问题在从青少年到成年中期的药物UAD过程中的年龄变化。我们将研究抑郁症状和自杀想法与药物UAD的不同相关性是从12至50岁之间的连续，复杂的功能。（3）估计早期和并发风险因素对从青少年到成年中期的药物UAD的年龄变化影响。我们将研究如何以及何时与12至50岁的药物UAD相关的特定风险和受保护因素。我们将考虑个人，父母，同伴，学校和社区水平的早期风险因素，以及同时的婚姻和父母身份。 （4）检查药物使用中健康差异的贡献者。为了促进对健康差异的发展过程的理解，我们将研究性和种族/种族作为（a）药物UAD和心理健康问题的年龄变化的合并症以及（b）风险因素与药物UAD之间的年龄变化的关联的主持人。该项目将提供有关毒品UAD和相关健康差异的发育过程的知识，从而使预防科学家和临床医生可以设计干预措施，以使最有前途的变化机制符合人口亚组内最合适的年龄时期。为了最大化该项目的整体影响，我们将积极传播这种有希望的药物滥用研究人员的新分析方法。