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.

项目概要/摘要 独立之路奖的五年计划将有助于推出 Jinshil Hyun 博士的独立之路 研究生涯专注于改变认知衰老轨迹的环境/行为因素 她提出的目标是使用地理空间和基于 GPS 的阿尔茨海默病和相关痴呆症 (ADRD)。 她提出了全面描述邻里对认知健康影响的方法。 培训将补充她在动态认知和认知衰老方面的专业知识，并以神经学为基础 流行病学（利普顿博士）、空间分析和城市健康（洛瓦西博士）和生物统计学（霍尔博士）。 拟议的研究和培训计划将利用爱因斯坦衰老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 这项研究的结果将识别人和人。 ADRD 的背景风险概况，最终将支持个性化和人群水平 干预措施，特别是针对弱势群体的干预措施。 我们对 ADRD 风险和保护因素的理解取得了重要进展， 包括探索邻里环境对认知的影响的研究，尽管大多数研究。 使用来自地理空间定义的社区的客观测量的数据、个人对其的看法 邻里和邻里环境的具体体验可能因人而异 即使在同一区域内，该项目旨在调查邻里特征的影响， 通过 (i) 客观、地理空间定义和主观邻里方面以及 (ii) 基于 GPS 的、 针对认知衰退、ADRD 和认知健康差异的个人活动空间测量。 将处理和分析从爱因斯坦衰老研究的年度生态瞬间收集的数据 智能手机的连续 GPS 跟踪将允许对特定的人进行表征。 邻里体验（即活动空间）将通过每年进行衡量。 超过 14 天的传统神经心理学测试和基于智能手机的动态评估（6 次/天） 在K99阶段，PI将检查每年的突发数据收集周期是否客观和。 邻里方面与认知主观结果相关（目标 1）。在此阶段，PI 还将。 完成空间分析培训，并在此基础上处理 GPS 数据并开发/验证活动 在 R00 阶段，PI 将检查基于 GPS 的活动空间与空间测量的关联。 认知和大脑健康（目标 2）以及亚组（例如生物性别、种族、APOE e4）差异 协会（目标 3）。目标 1 至 3 的结果将为第四个奖励年的 R01 申请提供基础。 关键词：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、动态认知、认知老化、ADRD、差异。