Exploring symptom clusters in mild cognitive impairment and dementia with the NIH Toolbox.

ABSTRACT:

Objective

Symptom clustering research provides a unique opportunity for understanding complex medical conditions. The objective of this study was to apply a variable-centered analytic approach to understand how symptoms may cluster together, within and across domains of functioning in mild cognitive impairment (MCI) and dementia, to better understand these conditions and potential etiological, prevention, and intervention considerations.

Method

Cognitive, motor, sensory, emotional, and social measures from the NIH Toolbox were analyzed using exploratory factor analysis (EFA) from a dataset of 165 individuals with a research diagnosis of either amnestic MCI or dementia of the Alzheimer's type.

Results

The six-factor EFA solution described here primarily replicated the

SUBMITTER: Tyner CE 

PROVIDER: S-EPMC11327385 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature