Table 1.
Participants description, neuropsychological assessment and group comparisons for the whole sample.
Table 2.
Factor structure of the neuropsychological assessment protocol.
Figure 1.
Stepwise linear regression model for the association between cognitive and functional measures.
Legend: the four components extracted on the factor analysis (Episodic Memory, Executive Functions, Language/Semantic Memory and Visuospatial Abilities) were used as independent predictors of older adults performance on Activities of Daily Living. Three of the four components (excluding Visuospatial Abilities) explained about 30% of functional performance variance.
Table 3.
NA, MCI and AD non-depressed patients' description and ROC Curve Analysis.
Figure 2.
Stepwise multinomial regression models for the classification of the participants.
Legend: increase on the classification rate of the participants by the use of different neuropsychological tests. The final model contains tests of general cognitive function (Mini-Mental State Examination), Episodic Memory (Delayed Recall and Recognition from the Rey Auditory-Verbal Learning Test), Executive Functions (Category Fluency Test “Animals” and the Frontal Assessment Battery) and Language/Semantic Memory (Laboratory of Neuropsychological Investigations Naming Test “Nouns”). Considering its general accuracy the protocol improves the classification rate of the participant's in 47%, starting at chance (33%). Its accuracy is greater for the identification of normal Aging (54%) followed by AD (47%) and MCI (42%), which reflect the intermediate condition of this last group.