Latent Classes of Cognitive Functioning Among Depressed Older Adults Without Dementia.

ABSTRACT:

Objective

Use latent class analysis (LCA) to identify patterns of cognitive functioning in a sample of older adults with clinical depression and without dementia and assess demographic, psychiatric, and neurobiological predictors of class membership.

Method

Neuropsychological assessment data from 121 participants in the Alzheimer's Disease Neuroimaging Initiative-Depression project (ADNI-D) were analyzed, including measures of executive functioning, verbal and visual memory, visuospatial and language functioning, and processing speed. These data were analyzed using LCA, with predictors of class membership such as depression severity, depression and treatment history, amyloid burden, and APOE e4 allele also assessed.

Results

A two-class model of cognitive functioning b

SUBMITTER: Morin RT 

PROVIDER: S-EPMC6733620 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature