The δ latent dementia phenotype in the uniform data set: Cross-validation and extension

Neuropsychology. 2015 May;29(3):344-52. doi: 10.1037/neu0000128. Epub 2014 Aug 25.

Abstract

Objective: Royall and colleagues identified a latent dementia phenotype, "δ", reflecting the "cognitive correlates of functional status." We sought to cross-validate and extend these findings in a large clinical case series of adults with and without dementia.

Method: A confirmatory factor analysis (CFA) model for δ was fit to National Alzheimer's Coordinating Center data (n = 26,068). Factor scores derived from δ were compared with the Clinical Dementia Rating Sum of Boxes (CDR-SB) and to clinically diagnosed dementia. A longitudinal parallel-process growth model compared changes in δ with changes in CDR-SB over 6 annual evaluations.

Results: The CFA model fit well; CFI = 0.971, RMSEA = 0.070. Factor scores derived from δ discriminated between demented and nondemented participants with an area under the curve of .96. The growth model also fit well, CFI = 0.969, RMSEA = 0.032.

Conclusions: The δ construct represents a novel approach to measuring dementia-related changes and has potential to improve cognitive assessment of neurodegenerative diseases.

Publication types

  • Research Support, N.I.H., Extramural
  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Alzheimer Disease / psychology*
  • Cognition / physiology*
  • Dementia / psychology*
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Middle Aged
  • Phenotype*