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.

摘要 分析核心（AnC）将为新的和校友SD AD-RCMAR提供智力和技术支持 科学家AnC将在技能，知识，测量工具和数据方面提供广泛的培训 促进其研究生产力所需的资源（即，科学报告，手稿出版物， 和赠款提交），这是成为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）.除了为收集新的定量和定性分析的原始数据提供培训和支持外， 定性研究的重点是通过针对多层次因素的新研究来解决ADRD的不公平性 为针对西班牙裔/拉丁裔、英语能力有限的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，并提供分析援助 新的和多样化的，辅助数据源，这可以为学者提供一个有效和快速的手段， 提高其研究生产力和科学影响，并以低成本检验新的创新假设; B） 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，可以与来自众多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这些因素的机会; （c）在实施符合文化习俗的健康行为客观措施方面提供支持， 心理测量有效的工具，和尖端的，文化知情的，科学有效的方法， 不同人群的定性研究。这些资源将用于支持科学家， 进行研究，阐明可能被修改以预防ADRD的多水平因素的作用， 增强不同人群的健康认知老化。 AnC还将与其他SD AD-RCMAR核心合作，支持AD-RCMAR科学家在 完成他们的研究，教育和职业目标，以确保他们继续朝着 成为独立的调查员，并与协调中心一起创建，识别，编目， 传播有关新的方法学发展、测量方法的科学信息，或 SD AD-RCMAR制作的新数据资源。