Neighborhood characteristics, GPS-based activity space, and cognitive health

邻里特征、基于 GPS 的活动空间和认知健康

• 批准号: 10572148
• 负责人: Jinshil Hyun
• 金额: $ 13.33万
• 依托单位: ALBERT EINSTEIN COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-15 至 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10572148
• 关键词: Address; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Amyloid; Area; Automobile Driving; Award; Behavior Therapy; Behavioral; Biological Markers; Biometry; Blood Vessels; Cellular Phone; Characteristics; Cognition; Cognitive; Cognitive aging; Data; Data Analyses; Data Collection; Data Set; Dementia; Development; Disparity; Ecological momentary assessment; Elderly; Environment; Exposure to; Five-Year Plans; Foundations; Genetic; Geographic Information Systems; Health; Hour; Impaired cognition; Individual; Intervention; Magnetic Resonance Imaging; Measures; Medicine; Mentors; Mentorship; Methods; Neighborhoods; Nerve Degeneration; Neuroepidemiology; Neuropsychological Tests; Neuropsychology; Outcome; Outcomes Research; Participant; Pathology; Pathway interactions; Pattern; Perception; Persons; Phase; Population; Process; Qualifying; Race; Research; Resources; Risk; Risk Factors; Scientist; Subgroup; Training; Urban Health; Variant; Vulnerable Populations; White Matter Hyperintensity; apolipoprotein E-4; biological sex; brain health; career; cognitive function; cognitive performance; cognitive testing; college; experience; follow-up; health disparity; mild cognitive impairment; multidisciplinary; protective factors; social; spatiotemporal; tau Proteins

Project Summary/Abstract This five-year plan for the Pathway to Independence Award will help launch Dr. Jinshil Hyun’s independent research career focused on environmental/behavioral factors that modify trajectories of cognitive aging and Alzheimer’s disease and associated dementia (ADRD). Her proposed aims use geospatial and GPS-based methods to comprehensively characterize the impact of neighborhood on cognitive health. Her proposed training will supplement her expertise in ambulatory cognition and cognitive aging with a foundation in neuro- epidemiology (Dr. Lipton), spatial analysis and urban health (Dr. Lovasi), and biostatistics (Dr. Hall). The proposed research and training plan will leverage rich dataset from the Einstein Aging Study and existing resources at the Albert Einstein College of Medicine. The findings from this study will identify person- and contextual-level risk profiles for ADRD, which will ultimately support personalized and population-level interventions, especially among vulnerable populations. There have been important advances in our understanding of risk and protective factors for ADRD, including studies that explore the impact of neighborhood environments on cognition. Although most studies used data from objective measures of geospatially-defined neighborhoods, individuals’ perception of their neighborhoods and person-specific experience of neighborhood environments may vary among individuals even within the same area. This project aims to investigate the influence of neighborhood characteristics, assessed by (i) objective, geospatially-defined and subjective neighborhood aspects and (ii) GPS-based, person-specific activity space measures, on cognitive decline, ADRD, and cognitive health disparities. The PI will process and analyze data collected from the Einstein Aging Study’s annual ecological momentary assessments battery. Continuous GPS tracking from smartphones will allow to characterize person-specific neighborhood experiences (i.e., activity space). Cognitive outcomes will be measured by both yearly conventional neuropsychological tests and smartphone-based ambulatory assessments (6x/day) over 14-day burst data collection periods each year of follow-up. In the K99 phase, the PI will examine how objective and subjective neighborhood aspects are associated with cognitive outcomes (Aim 1). In this phase, the PI will also complete training in spatial analysis, and based on that, will process GPS data and develop/validate activity space measures. In the R00 phase, the PI will examine the associations of GPS-based activity space with cognitive and brain health (Aim 2), and subgroup (e.g., biological sex, race, APOE e4) differences in the associations (Aim 3). Aims 1 to 3 results will provide the basis for an R01 application in the fourth award year. Keywords: activity space, neighborhood, urban health, GPS, Geographic information system, spatial analysis, ecological momentary assessments, ambulatory cognition, cognitive aging, ADRD, disparities.

项目摘要/摘要 这项为期五年的独立途径奖计划将有助于启动Jinshil Hyun博士的独立 研究职业的重点是环境/行为因素，这些因素改变了认知衰老的轨迹和 阿尔茨海默氏病和相关痴呆症（ADRD）。她提出的目标使用地理空间和基于GPS的目标 全面表征社区对认知健康的影响的方法。她提议 培训将补充她在门诊认知和认知衰老方面的专业知识，并在神经上建立基础 流行病学（Lipton博士），空间分析和城市健康（Lovasi博士）和生物统计学（Hall博士）。这 拟议的研究和培训计划将利用爱因斯坦老化研究和现有的丰富数据集 阿尔伯特爱因斯坦医学院的资源。这项研究的发现将确定人和 ADRD的上下文级别风险概况，最终将支持个性化和人口级别 干预措施，尤其是在弱势群体中。 在我们对ADRD风险和保护因素的理解方面取得了重要的进步， 包括探索邻里环境对认知影响的研究。虽然大多数研究 从地理空间定义的社区的客观测量中使用的数据，个人对自己的看法 个人环境的社区和特定人物的经验可能会有所不同 甚至在同一区域内。该项目旨在调查邻里特征的影响， 由（i）客观，地理空间定义和主观的邻里方面以及（ii）基于GPS的客观评估， 特定于人的活动空间测量，认知能力下降，ADRD和认知健康差异。 pi 将处理和分析从爱因斯坦老化研究的年度生态瞬间收集的数据 评估电池。智能手机的连续GPS跟踪将允许特定于人的特定表征 邻居体验（即活动空间）。认知结果将在两年中衡量 传统的神经心理学测试和基于智能手机的门诊评估（6倍/天）在14天内 每年随访的爆发数据收集期。在K99阶段，PI将研究如何客观和 主题社区方面与认知结果有关（AIM 1）。在此阶段，PI也将 完整的空间分析培训，并基于此培训，将处理GPS数据并开发/验证活动 空间措施。在R00阶段，PI将检查基于GPS的活动空间的关联 认知和大脑健康（AIM 2）和亚组（例如，生物性别，种族，APOE E4）差异 协会（目标3）。目标1到3结果将为第四个奖项中的R01申请提供基础。 关键字：活动空间，邻里，城市健康，GPS，地理信息系统，空间分析， 生态瞬时评估，门诊认知，认知衰老，ADRD，差异。