Michelle McDonnell1, Lauren Dill2, Stella Panos3,4, Stacy Amano5, Warren Brown5, Shadee Giurgius6, Gary Small3, Karen Miller3. 1. Loma Linda VA Healthcare System, Loma Linda, CA, USA. 2. VA Long Beach Healthcare System, Long Beach, CA, USA. 3. UCLA Longevity Center, Los Angeles, CA, USA. 4. Cedars-Sinai Medical Center, Los Angeles, CA, USA. 5. Fuller Graduate School of Psychology, Pasadena, CA, USA. 6. Adult & Geriatric Psychiatry in La Mirada, La Mirada, CA, USA.
Abstract
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.
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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