Hierarchical cognitive and psychosocial predictors of amnestic mild cognitive impairment

J Int Neuropsychol Soc. 2010 Jul;16(4):721-9. doi: 10.1017/S1355617710000512.


To identify neuropsychological and psychosocial factors predictive of amnestic Mild Cognitive Impairment (aMCI) among a group of 94 nondemented older adults, we employed a novel nonlinear multivariate classification statistical method called Optimal Data Analysis (ODA) in a dataset collected annually for 3 years. Performance on measures of memory and visuomotor processing speed or symptoms of depression in year 1 predicted aMCI status by year 2. Performance on a measure of learning at year 1 predicted aMCI status at year 3. No other measures significantly predicted incidence of aMCI at years 2 and 3. Results support the utility of multiple neuropsychological and psychosocial measures in the diagnosis of aMCI, and the present model may serve as a testable hypothesis for prospective investigations of the development of aMCI.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cognition Disorders* / classification
  • Cognition Disorders* / diagnosis
  • Cognition Disorders* / physiopathology
  • Cognition Disorders* / psychology
  • Female
  • Humans
  • Male
  • Models, Statistical
  • Neuropsychological Tests*
  • Predictive Value of Tests
  • Social Behavior*