Carolina Center on Alzheimer's Disease and Minority Aging Research (CCADMR)

分析核心 项目总结/摘要 在美国，老年人代表性不足和少数民族（URM）成年人的风险增加， 阿尔茨海默病和相关痴呆症（ADRD）与他们的白色同行相比。存在一个临界 需要了解的作用，社会文化，行为和环境的决定因素发挥在 在ADRD中，这些种族差异的产生和持续。重要的是要教育一个种族多元化的 一组科学家使用基于人口的数据集，以帮助为二次分析提供信息， 这样的问题。分析核心（AnC）旨在：（1）提供基于人口的二级数据支持 管理，分析和编程AD-RCMAR科学家，以提高方法的严谨性， （2）开发更多的资源，以促进使用和分析 基于人口的数据集卡罗莱纳阿尔茨海默病和少数民族研究中心（CCADMR）将 （3）支持在地方、区域和国家各级传播试点项目的结果; （4）为AD-RCMAR科学家提供持续的支持，因为他们开发了随后的 根据试点研究结果提交给国家老龄化研究所（NIA）或类似资金的建议 源AnC将为AD-RCMAR提供数据管理和分析基础设施， 培训AD-RCMAR科学家采用严格的方法论方法进行基于人群的ADRD研究 重点是识别和理解ADRD的决定因素。AnC将提供指导和研究 教育有效的数据管理，分析，解释理论上知情的研究问题， 并将分析转化为报告和出版物。AnC还将支持AD-RCMAR 科学家们使用基于人口的数据集，包括南卡罗来纳州阿尔茨海默病登记处， 健康与退休研究（HRS）和行为风险因素监测系统（BRFSS）。的 AnC为指导AD-RCMAR科学家做好了充分的准备。不仅是国家认可的共同领导人 作为生物统计学和人口科学的学者，AnC提供了对南卡罗来纳州阿尔茨海默氏症的研究， 疾病登记处，这是全国最古老，最全面的全州诊断病例登记处 ADRD，这是一个与各种社会和健康相关的数据集。这些优势和创新 AnC的特点将使其能够为URM科学家干部的严格指导做出贡献。 方法和分析方法，适合回答有关社会文化， ADRD健康差异的行为和环境决定因素。的教育机会 由AnC提供的将增加URM科学家的数量，在有效利用中学 分析，以解决ADRD的差距在美国东南部的教育也将提高严谨性， 对ADRD决定因素进行的工作的影响。

ANALYSIS CORE PROJECT SUMMARY/ABSTRACT In the United States (U.S.), older underrepresented and minority (URM) adults are at increased risk of Alzheimer’s disease and related dementias (ADRD) compared with their white counterparts. There is a critical need to understand the role that sociocultural, behavioral, and environmental determinants play in the production and persistence of these racial disparities in ADRD. It is important to educate a racially diverse group of scientists in the use of population-based datasets to help inform secondary analyses that can answer such questions. The Analysis Core (AnC) aims to: (1) provide support in population-based secondary data management, analysis, and programming to AD-RCMAR Scientists to enhance the methodological rigor of their pilot projects and ensure their success; (2) develop additional resources to facilitate use and analysis of the population-based datasets Carolina Center on Alzheimer’s Disease and Minority Research (CCADMR) will support; (3) provide support in the dissemination of pilot project findings at the local, regional, and national levels, and (4) provide continuing support to AD-RCMAR Scientists as they develop their subsequent proposals based on pilot study findings for submission to National Institute of Aging (NIA) or similar funding sources. The AnC will provide the data management and analysis infrastructure for the AD-RCMAR as well as train AD-RCMAR Scientists in rigorous methodological approaches to population-based ADRD research focused on identifying and understanding determinants of ADRD. The AnC will provide mentoring and research education in effective data management, analysis, interpretation of theoretically informed research questions, and translation of analyses into presentations and publications. The AnC will also support AD-RCMAR Scientists in the use of population-based datasets, including the South Carolina Alzheimer’s Disease Registry, the Health and Retirement Study (HRS), and the Behavioral Risk Factor Surveillance System (BRFSS). The AnC is well-prepared to mentor AD-RCMAR Scientists. Not only are the Co-Leads nationally recognized scholars in biostatistics and population science, the AnC provides access to the South Carolina Alzheimer’s Disease Registry, which is the nation’s oldest and most comprehensive state-wide registry of diagnosed cases of ADRD, which is linkable to a variety of social and health-related datasets. These strengths and innovative characteristics of AnC will enable it to contribute to the mentoring of a cadre of URM scientists in rigorous methodological and analytic approaches suitable for answering complex questions about the sociocultural, behavioral, and environmental determinants of ADRD health disparities. The educational opportunities provided by the AnC will increase the number of URM Scientists trained in the effective use of secondary analyses to address ADRD disparities in the Southeast U.S. The education will also enhance the rigor and impact of the work conducted on determinants of ADRD.