Analysis Core

分析核心

• 批准号: 10729799
• 负责人: Tarik Benmarhnia
• 金额: $ 5.66万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10729799
• 关键词: Address; Adult; Aging; Agreement; Air Pollution; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Applications Grants; Behavioral; Catalogs; Characteristics; Code; Cognitive aging; Cohort Studies; Collaborations; Collection; Communities; Consultations; Data; Data Analyses; Data Collection; Data Set; Data Sources; Development; Disparity; Education; Ensure; Epidemiologic Methods; Feedback; Foundations; Funding; Goals; Grant; Green space; Health behavior; Hispanic Populations; Individual; Inequality; Inequity; Intervention; Interview; Knowledge; Latino Population; Limited English Proficiency; Linguistics; Manuscripts; Measurement; Measures; Mentorship; Methodology; Methods; Minority; Neighborhoods; Neurocognitive; Paper; Pilot Projects; Policies; Population Heterogeneity; Principal Investigator; Procedures; Productivity; Protocols documentation; Psychometrics; Publications; Publishing; Qualitative Research; Refugees; Research; Research Design; Research Personnel; Research Project Grants; Resources; Role; Scientist; Source; Targeted Research; Testing; Training; Training Activity; Training and Education; Work; career; cost; data access; data resource; health inequalities; innovation; interest; novel; preference; prevent; research study; skills; social; social epidemiology; social factors; social structure; surveillance data; tool

ABSTRACT The Analysis Core (AnC) will provide intellectual and technical support for new and alumni SD AD-RCMAR Scientists. The AnC will provide extensive training in the skills, knowledge, measurement tools and data resources needed to facilitate their research productivity (i.e., scientific presentations, manuscript publications, and grant submissions), a requirement for becoming independent career scientists who can compete successfully for external funding to further advance research in Alzheimer’s Disease and Related Dementias (ADRD). In addition to providing training and support for the collection of primary data for new quantitative and qualitative studies focused on addressing ADRD inequities through novel research targeting multilevel factors to inform interventions focused on Hispanics/Latinos, limited English proficient (LEP) adults, and refugee communities, the AnC will a) facilitate access to, ensure understanding of, and provide assistance in analyzing new and diverse, secondary data sources, which can provide an efficient and rapid means for scholars to increase their research productivity and scientific impact, and test new innovative hypotheses at low cost; b) provide the AD-RCMAR Scientists with a strong background in social epidemiology methods and tools and contextual and environmental metrics that can be merged with data from numerous cohort studies and surveillance datasets to understand the drivers of inequalities in ADRD and opportunities to reduce them; and c) provide support in the implementation of objective measures of health behaviors, culturally appropriate and psychometrically valid tools, and cutting-edge, culturally-informed, and scientifically-valid approaches for qualitative studies across diverse populations. These resources will be used to support the Scientists in conducting research to illuminate the role of multi-level factors that may be modified to prevent ADRD and enhance healthy cognitive aging in diverse populations. The AnC will also work together with other SD AD-RCMAR Cores to support the AD-RCMAR Scientists in the completion of their research, education, and career goals to ensure their continued trajectories towards becoming independent investigators, and with the Coordinating Center to create, identify, catalog, and disseminate scientific information regarding novel methodological developments, measurement approaches, or new data resources produced by the SD AD-RCMAR.

抽象的 分析核心 (AnC) 将为 SD AD-RCMAR 新成员和校友提供智力和技术支持 AnC 将提供技能、知识、测量工具和数据方面的广泛培训。 提高研究生产力所需的资源（即科学演示、手稿出版物、 和拨款申请），成为能够竞争的独立职业科学家的要求 成功获得外部资金以进一步推进阿尔茨海默病和相关痴呆症的研究 (ADRD) 除了为新的定量和数据收集提供培训和支持。 定性研究的重点是通过针对多层次因素的新颖研究来解决 ADRD 不平等问题 为针对西班牙裔/拉丁裔、英语水平有限 (LEP) 成年人和难民的干预措施提供信息 社区，ANC 将 a) 促进访问、确保理解并提供分析帮助 新颖多样的二手数据源，可以为学者提供高效、快速的手段 提高研究生产力和科学影响力，并以低成本测试新的创新假设； 为 AD-RCMAR 科学家提供社会流行病学方法和工具方面的强大背景， 背景和环境指标可以与大量队列研究的数据合并 监测数据集，以了解 ADRD 不平等的驱动因素以及减少不平等的机会； c) 为实施健康行为的客观措施提供支持，这些措施在文化上是适当的并且 心理测量学上有效的工具，以及尖端的、文化背景下的、科学上有效的方法 这些资源将用于支持科学家进行不同人群的定性研究。 进行研究以阐明多层次因素的作用，这些因素可以通过修改来预防 ADRD 和 增强不同人群的认知健康老龄化。 AnC 还将与其他 SD AD-RCMAR 核心合作，为 AD-RCMAR 科学家提供支持 完成他们的研究、教育和职业目标，以确保他们继续朝着目标迈进 成为独立调查员，并与协调中心一起创建、识别、编目和 传播有关新方法开发、测量方法或 SD AD-RCMAR 生成的新数据资源。