Objectives: The goal of this study was to evaluate the ability of semantic (animal naming) and phonemic (FAS) fluency in their ability to discriminate between normal aging, amnestic-Mild Cognitive Impairment (a-MCI), and Alzheimer's disease (AD).

Design: We used binary logistic regressions, multinomial regressions, and discriminant analysis to evaluate the predictive value of semantic and phonemic fluency in regards to specific diagnostic classifications.

Setting: Outpatient geriatric neuropsychology clinic.

Participants: 232 participants (normal aging = 99, a-MCI = 90, AD = 43; mean age = 65.75 years).

Measurements: Mini-mental State Examination (MMSE), Controlled Oral Word Association Test.

Results: Results indicate that semantic and phonemic fluency were significant predictors of diagnostic classification, and semantic fluency explained a greater amount of the discriminant ability of the model.

Conclusions: These results suggest that verbal fluency, particularly semantic fluency, may be an accurate and efficient tool in screening for early dementia in time-limited medical settings.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9153280PMC
http://dx.doi.org/10.1017/S1041610219000644DOI Listing

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