Subtypes Based on Neuropsychological Performance Predict Incident Dementia: Findings from the Rush Memory and Aging Project.

ABSTRACT:

Background

In a previous report, we used latent class analysis (LCA) to identify natural subgroups of older adults in the Einstein Aging Study (EAS) based on neuropsychological performance. These subgroups differed in demographics, genetic profile, and prognosis. Herein, we assess the generalizability of these findings to an independent sample, the Rush Memory and Aging Project (MAP), which used an overlapping, but distinct neuropsychological battery.

Objective

Our aim was to identify the association of natural subgroups based on neuropsychological performance in the MAP cohort with incident dementia and compare them with the associations identified in the EAS.

Methods

MAP is a community-dwelling cohort of older adults living in the northeastern Illinois, Chicago. Lat

SUBMITTER: Zammit AR 

PROVIDER: S-EPMC6335582 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature