Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-25T20:50:28.807Z Has data issue: false hasContentIssue false

Effects of educational background on verbal fluency task performance in older adults with Alzheimer's disease and mild cognitive impairment

Published online by Cambridge University Press:  06 July 2010

Naoko Kawano
Affiliation:
Department of Geriatrics, Medicine in Growth and Aging, Program in Health and Community Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
Hiroyuki Umegaki*
Affiliation:
Department of Geriatrics, Medicine in Growth and Aging, Program in Health and Community Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
Yusuke Suzuki
Affiliation:
Department of Home Care Management, Nagoya University Hospital, Nagoya, Japan
Sayaka Yamamoto
Affiliation:
Department of Geriatrics, Medicine in Growth and Aging, Program in Health and Community Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
Nanaka Mogi
Affiliation:
Department of Geriatrics, Medicine in Growth and Aging, Program in Health and Community Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
Akihisa Iguchi
Affiliation:
Department of Faculty of Medical Welfare, Aichi Shukutoku University, Nagoya, Japan
*
Correspondence should be addressed to: Dr. Hiroyuki Umegaki, Department of Geriatrics, Medicine in Growth and Aging, Program in Health and Community Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya-shi, 466–8550, Japan. Phone: +81 52 744 2364, Fax: +81 52 744 2371. Email: [email protected].

Abstract

Background: Previous studies have shown that the verbal fluency test (VFT) is a sensitive measure of cognitive dysfunction in Alzheimer's disease (AD). However, other studies have shown that the performances were significantly influenced by education in the normal elderly population. In order to examine the utility of the VFT as a tool for screening for AD, it is necessary to study the effect of education not only in the cognitively intact population but also in the population of early AD patients.

Methods: Patients with AD (n = 345) and individuals with amnestic type of mild cognitive impairment (MCI) (n = 123) were asked to generate as many words as possible belonging to a category “animal” and beginning with “か [ka]” in syllabic Japanese “kana” script. In order to determine the education effect after adjusting for age and cognitive state on the VFT performance in early stage of AD, we performed multiple regression analysis with 396 individuals including both amnestic MCI and AD.

Results: After adjusting for patients’ age, sex, and cognitive state, the years of education were significantly related to category fluency test scores, but not significantly related to letter fluency test scores.

Conclusion: Our results demonstrated that a category fluency performance reflected not only AD-specific changes but also educational background. These results suggest the limitation of using the category fluency task for screening subjects at risk for developing AD without taking subjects' educational background into consideration.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Acevedo, A. et al. (2002). Category fluency test: normative data for English and Spanish-speaking elderly. Journal of the International Neuropsychological Society, 6, 760769.CrossRefGoogle Scholar
American Psychiatric Association (1985). Diagnostic and Statistical Manual of Mental Disorders, 3rd edn, revised. Washington, DC: American Psychiatric Association.Google Scholar
Baldo, J. V., Schwartz, S., Wilkins, D. and Dronkers, N. F. (2006). Role of frontal versus temporal cortex in verbal fluency as revealed by voxel-based lesion symptom mapping. Journal of the International Neuropsychological Society, 12, 896900.CrossRefGoogle ScholarPubMed
Barr, A. and Brandt, J. (1996). Word-list generation deficits in dementia. Journal of Clinical and Experimental Neuropsychology, 18, 810822.CrossRefGoogle ScholarPubMed
Baudic, S., Barba, G. D., Thibaudet, M. C., Smagghe, A., Remy, P. and Traykov, L. (2006). Executive function deficits in early Alzheimer's disease and their relations with episodic memory. Archives of Clinical Neuropsychology, 21, 1521.CrossRefGoogle ScholarPubMed
Benito-Cuadrado, M. M., Estaba-Castillo, S., Böhm, P., Cejudo-Bolívar, J. and Peña-Casanova, J. (2002). Semantic verbal fluency of animals: a normative and predictive study in a Spanish population. Journal of Clinical Experimental Neuropsychology, 24, 11171122.CrossRefGoogle Scholar
Crossley, M., D'Arcy, C. and Rawson, N. S. (1997). Letter and category fluency in community-dwelling Canadian seniors: a comparison of normal participants to those with dementia of the Alzheimer or vascular type. Journal of Clinical and Experimental Neuropsychology, 19, 5262.CrossRefGoogle ScholarPubMed
de Koning, I. (2009). Neuropsychological assessment: sense and sensibility. Stroke, 40, 29492950.CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198.CrossRefGoogle ScholarPubMed
Gruen, A. K., Frankle, B. C. and Schwartz, R. (1990). Word fluency generation skills of head injured patients in an acute trauma center. Journal of Communication Disorders, 23, 163170.CrossRefGoogle Scholar
Hall, C. B., Derby, C., LeValley, A., Katz, M. J., Verghese, J. and Lipton, R. B. (2007). Education delays accelerated decline on a memory test in persons who develop dementia. Neurology, 69, 16571664.CrossRefGoogle ScholarPubMed
Henry, J. D., Crawford, J. R. and Phillips, L. H. (2004). Verbal fluency performance in dementia of the Alzheimer's type: a meta-analysis. Neuropsychologia, 42, 12121222.CrossRefGoogle ScholarPubMed
Ito, E. and Hatta, T. (2002). Development of the verbal fluency test for Japanese. Studies in Informatics and Sciences, 15, 8196.Google Scholar
Ito, E. and Hatta, T. (2006). Reliability and validity of verbal fluency tasks. Japanese Journal of Neuropsychology, 22, 146152.Google Scholar
Lafleche, G. and Albert, M. (1995). Executive function deficits in early Alzheimer's disease. Neuropsychology, 9, 313320.CrossRefGoogle Scholar
Laws, K. R., Duncan, A. and Gale, T. M. (2010). “Normal” semantic-phonemic fluency discrepancy in Alzheimer's disease: a meta analytic study. Cortex, 46, 595601.CrossRefGoogle ScholarPubMed
Lezak, M. D. (2004). Neuropsychological Assessment, 4th edn. New York: Oxford University Press.Google Scholar
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. and Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology, 34, 939944.CrossRefGoogle ScholarPubMed
Mok, E. H., Lam, L. C. and Chiu, H. F. (2004). Category verbal fluency test performance in Chinese elderly with Alzheimer's disease. Dementia and Geriatric Cognitive Disorders, 18, 120124.CrossRefGoogle ScholarPubMed
Morris, J. C. (1993). The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology, 43, 24122414.CrossRefGoogle ScholarPubMed
Murphy, K. J., Rich, J. B. and Troyer, A. K. (2006). Verbal fluency patterns in amnestic mild cognitive impairment are characteristic of Alzheimer's type dementia. Journal of the International Neuropsychological Society, 12, 570574.CrossRefGoogle ScholarPubMed
Nutter-Upham, K. E. et al. (2008). Verbal fluency performance in amnestic MCI and older adults with cognitive complaints. Archives of Clinical Neuropsychology, 23, 229241.CrossRefGoogle ScholarPubMed
Perret, E. (1974). The left frontal lobe of man and the suppression of habitual responses in verbal categorical behavior. Neuropsychologia, 12, 323330.CrossRefGoogle Scholar
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G. and Kokmen, E. (1999). Mild cognitive impairment: clinical characterization and outcome. Archives of Neurology, 56, 303308.CrossRefGoogle ScholarPubMed
Ratcliff, G. et al. (1998). Effects of literacy and education on measures of word fluency. Brain and Language, 61, 115122.CrossRefGoogle ScholarPubMed
Rosen, W. G. (1980). Verbal fluency in aging and dementia. Journal of Clinical Neuropsychology, 2, 135146.CrossRefGoogle Scholar
Ruff, R., Light, R., Parker, S. and Levin, H. (1997). The psychological construct of word fluency, Brain and Language, 57, 394405.CrossRefGoogle ScholarPubMed
Tombaugh, T. N., Kozak, J. and Rees, L. (1999). Normative data stratified by age and education for two measures of verbal fluency: FAS and Animal Naming. Archives of Clinical Neuropsychology, 14, 167177.Google ScholarPubMed
Troyer, A. K. (2000). Normative data for clustering and switching on verbal fluency tasks. Journal of Clinical and Experimental Neuropsychology, 22, 370378.CrossRefGoogle ScholarPubMed
Wechsler, D. (1981). The Wechsler Adult Intelligence Scale – Revised. Toronto: The Psychological Corporation and Harcourt Brace Jovanovich, Inc.Google Scholar
Wilson, R. S., Hebert, L. E., Scherr, P. A., Barnes, L. L., Mendes de Leon, C. F. and Evans, D. A. (2009). Educational attainment and cognitive decline in old age. Neurology, 72, 460465.CrossRefGoogle ScholarPubMed