Nonlinear Models of Cognition Preceding AD in a Biracial Population Sample

这项建议旨在对现有数据进行二次分析，以检查非线性认知下降 在标准化全球认知总结中，使用执行功能、情景记忆和 在一项以老年人为基础的大型人口研究的背景下，整体的全球认知和取向： 芝加哥健康和老龄化项目(CHAP)。更具体地说，这项建议的四个目标是：1) 用随机变点模型检验老年黑人和白人的非线性认知衰退 2948名患有阿尔茨海默病和非阿尔茨海默病的参与者的样本；2)调查人口统计学的作用， 社会、生活方式、心血管和遗传危险因素对老年黑人非线性认知能力下降的影响 和怀特对AD和非AD的诊断；3)识别非线性认知下降的异质性 利用7,757名黑人和白人的人口样本使用潜在阶级增长曲线模型 多重认知评估；4)了解人口、社会、生活方式、心血管、 潜在类成员的遗传危险因素对非线性认知异质性的解释 拒绝。了解老年黑人和白人的认知下降速度是一个相当有意义的话题 利息。然而，大多数研究都集中在白人的线性轨迹上，结果喜忧参半。 黑人。基于变化点的非线性认知衰退在黑人中不存在，建议的 这项工作可以增加我们对AD和非AD临床前阶段的了解。

This proposal aims to conduct secondary analyses of existing data to examine nonlinear cognitive decline in standardized global summary of cognition assessed using executive functioning, episodic memory, and overall global cognition and orientation within the context of a large population-based study of older adults: Chicago Health and Aging Project (CHAP). More specifically, the four objectives of this proposal are: 1) Examine Nonlinear Cognitive Decline in Older Blacks and Whites Using Change Point Models in a Random Sample of 2,948 Participants with AD and non-AD Diagnosis; 2) investigate the Role of Demographic, Social, Lifestyle, Cardiovascular, and Genetic Risk Factors on Nonlinear Cognitive Decline in Older Blacks and Whites with AD and non-AD Diagnosis; 3) Identify the Heterogeneity in Nonlinear Cognitive Decline Using Latent Class Growth Curve Models Using a Population Sample of 7,757 Blacks and Whites with Multiple Cognitive Assessments; 4) Understand the Role of Demographic, Social, Lifestyle, Cardiovascular, and Genetic Risk Factors on Latent Class Memberships to Explain Heterogeneity in Nonlinear Cognitive Decline. Understanding the rate of cognitive decline in older blacks and whites has a topic of considerable interest. However, most research has focused on linear trajectories in whites with mixed findings among blacks. Nonlinear cognitive decline based on change points are nonexistent in blacks and the proposed work can increase our understanding of preclinical phase of AD and non-AD.