Dataset Information
Quantifying longitudinal cognitive resilience to Alzheimer's disease and other neuropathologies.
Ontology highlight
ABSTRACT: Introduction
Cognitive resilience (CR) has been defined as the continuum of better (or worse) than expected cognition, given the degree of neuropathology. To quantify this concept, existing approaches focus on either cognitive level at a single time point or slopes of cognitive decline.Methods
In a prospective study of 1215 participants, we created a continuous measure of CR defined as the mean of differences between estimated person-specific and marginal cognitive levels over time, after accounting for neuropathologies.Results
Neuroticism and depressive symptoms were associated with all CR measures (P-values < .012); as expected, cognitive activity and education were only associated with the cognitive-level approaches (P-values < .0002). However, compared with the existing CR measures focusing on a single measure or slopes of cognition, our new measure yielded stronger relations with risk factors.Discussion
Defining CR based on the longitudinal differences between person-specific and marginal cognitive levels is a novel and complementary way to quantify CR.
SUBMITTER: Wagner M
PROVIDER: S-EPMC10119432 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
Publications
Quantifying longitudinal cognitive resilience to Alzheimer's disease and other neuropathologies.
Alzheimer's & dementia : the journal of the Alzheimer's Association 20220201 11
<h4>Introduction</h4>Cognitive resilience (CR) has been defined as the continuum of better (or worse) than expected cognition, given the degree of neuropathology. To quantify this concept, existing approaches focus on either cognitive level at a single time point or slopes of cognitive decline.<h4>Methods</h4>In a prospective study of 1215 participants, we created a continuous measure of CR defined as the mean of differences between estimated person-specific and marginal cognitive levels over ti ...[more]