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A normative study of total scores of the CERAD neuropsychological assessment battery in an educationally diverse elderly population

Published online by Cambridge University Press:  30 July 2014

Ji Young Han ,
Eun Hyun Seo ,
Dahyun Yi ,
Bo Kyung Sohn ,
Young Min Choe ,
Min Soo Byun ,
Hyo Jung Choi ,
Shin Gyeom Kim ,
Shin Young Park  and
Jee Wook Kim
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Ji Young Han
Affiliation:
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
Eun Hyun Seo
Affiliation:
Division of Natural Medical Sciences, College of Health Science, Chosun University, Gwangju, South Korea
Dahyun Yi
Affiliation:
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
Bo Kyung Sohn
Affiliation:
Department of Neuropsychaitry, Boramae Medical Center, Seoul, South Korea
Young Min Choe
Affiliation:
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
Min Soo Byun
Affiliation:
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
Hyo Jung Choi
Affiliation:
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
Shin Gyeom Kim
Affiliation:
Department of Neuropsychiatry, Soonchunhyang University Bucheonhospital, Bucheon, South Korea
Shin Young Park
Affiliation:
Department of Neuropsychiatry, Daelim Saint Mary's Hospital, Seoul, South Korea
Jee Wook Kim
Affiliation:
Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, South Korea
Jong Chul Youn
Affiliation:
Department of Neuropsychiatry, Gyeonggi Provincial Hospital for the Elderly, Yongin, South Korea
Jin Hyeong Jhoo
Affiliation:
Department of Psychiatry, Kangwon National University Hospital, Chunchon, South Korea
Jung Hie Lee
Affiliation:
Department of Psychiatry, Kangwon National University Hospital, Chunchon, South Korea
Ki Woong Kim
Affiliation:
Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
Jong Inn Woo
Affiliation:
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
Dong Young Lee*
Affiliation:
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
*
Correspondence should be addressed to: Dr Dong Young Lee, MD, Ph.D., Department of Neuropsychiatry, Seoul National University Hospital, 28 Yongon-dong, Chongno-gu, Seoul 110-744, South Korea. Phone: +82.2-2072-2205; Fax: +82.2-744-7241. Email: [email protected].
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Abstract

Background:

This study aimed to investigate the influences of age, education, and gender on the two total scores (TS-I and TS-II) of the Consortium to Establish a Registry for Alzheimer's Disease Neuropsychological assessment battery (CERAD-NP) and to provide normative information based on an analysis for a large number of elderly persons with a wide range of educational levels.

Methods:

In the study, 1,987 community-dwelling healthy volunteers (620 males and 1,367 females; 50–90 years of age; and zero to 25 years of education) were included. People with serious neurological, medical, and psychiatric disorders (including dementia) were excluded. All participants underwent the CERAD-NP assessment. TS-I was generated by summing raw scores from the CERAD-NP subtests, excluding Mini-Mental State Examination and Constructional Praxis (CP) recall subtests. TS-II was calculated by adding CP recall score to TS-I.

Results:

Both TS-I and TS-II were significantly influenced by demographic variables. Education accounted for the greatest proportion of score variance. Interaction effect between age and gender was found. Based on the results obtained, normative data of the CERAD-NP total scores were stratified by age (six overlapping tables), education (four strata), and gender.

Conclusions:

The normative information will be very useful for better interpretation of the CERAD-NP total scores in various clinical and research settings and for comparing individuals’ performance of the battery across countries.

Keywords

CERAD neuropsychological batterytotal scorenormsageeducationgender
Type
Research Article
Information
International Psychogeriatrics , Volume 26 , Issue 11 , November 2014 , pp. 1897 - 1904
Copyright
Copyright © International Psychogeriatric Association 2014 

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References

American Psychiatric Association. (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. Washington, DC: American Psychiatric Association.Google Scholar
Beeri, M. S. et al. (2006). Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old. Neurology, 67, 1006–1010.Google Scholar
Buckwalter, J. G., Rizzo, A. A., McCleary, R., Shankle, R., Dick, M. and Henderson, V. W. (1996). Gender comparisons of cognitive performances among vascular dementia, Alzheimer's disease, and older adults without dementia. Archives of Neurology, 53, 436–439.Google Scholar
Chandler, M. J. et al. (2005). A total score for the CERAD neuropsychological battery. Neurology, 65, 102–106.Google Scholar
Corey-Bloom, J., Wiederholt, W. C., Edelstein, S., Salmon, D. P., Cahn, D. and Barrett-Connor, E. (1996). Cognitive and functional status of the oldest old. Journal of the American Geriatrics Society, 44, 671–674.Google Scholar
Ehrensperger, M. M., Berres, M., Taylor, K. I. and Monsch, A. U. (2010). Early detection of Alzheimer's disease with a total score of the German CERAD. Journal of the International Neuropsychological Society, 16, 910–920.Google Scholar
Elias, M. F., Elias, P. K., D’Agostino, R. B., Silbershatz, H. and Wolf, P. A. (1997). Role of age, education, and gender on cognitive performance in the Framingham Heart Study: community-based norms. Experimental Aging Research: An International Journal Devoted to the Scientific Study of the Aging Process, 23, 201–235.Google Scholar
Fillenbaum, G. G., Burchett, B. M., Unverzagt, F. W., Rexroth, D. F. and Welsh-Bohmer, K. (2011). Norms for CERAD constructional praxis recall. ClinicalNeuropsychologist, 25, 1345–1358.Google Scholar
Flynn, J. R. (1987). Massive IQ gains in 14 nations: what IQ tests really measure. Psychological Bulletin, 101, 171–191.Google Scholar
Hallikainen, I. et al. (2013). Progression of Alzheimer's disease during a three-year follow-up using the CERAD-NB total score: Kuopio ALSOVA study. International Psychogeriatrics, 25, 1335–1344.Google Scholar
Karrasch, M. and Laine, M. (2003). Age, education and test performance on the Finnish CERAD. Acta Neurologica Scandinavica, 108, 97–101.CrossRefGoogle ScholarPubMed
Lee, J. H. et al. (2002). Development of the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet (CERAD-K): clinical and neuropsychological assessment batteries. Journals of Gerontology: Series B, 57, 47–53.Google Scholar
Lee, D. Y. et al. (2004). A normative study of the CERAD neuropsychological assessment battery in the Korean elderly. Journal of the International Neuropsychological Society, 10, 72–81.Google Scholar
Liu, K. P. et al. (2011). Effects of age, education, and gender in the Consortium to Establish a Registry for the Alzheimer's Disease (CERAD) Neuropsychological Assessment Battery for Cantonese-speaking Chinese elders. International Psychogeriatrics, 23, 1575–1581.Google Scholar
Morris, J. C. et al. (1989). The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Part I. Clinical and neuropsychological assessment of Alzheimer's disease. Neurology, 39, 1159–1165.Google Scholar
Murphy, M. (2012). Normative CERAD-NP performance among community-dwelling older adults in Ireland. Clinical Gerontologist, 35, 15–26.Google Scholar
Paajanen, T. et al. (2010). CERAD neuropsychological battery total score in multinational mild cognitive impairment and control populations: the AddNeuroMed study. Journal of Alzheimer's Disease, 22, 1089–1097.Google Scholar
Parsons, T. D., Rizzo, A. R., Zaag, C. v. d., McGee, J. S. and Buckwalter, J. G. (2005). Gender differences and cognition among older adults. Aging, Neuropsychology, and Cognition: A Journal on Normal and Dysfunctional Development, 12, 78–88.Google Scholar
Pauker, J. D. (1988). Constructing overlapping cell tables to maximize the clinical usefulness of Normative Test Data – rationale and an example from neuropsychology. Journal of Clinical Psychology, 44, 930–933.Google Scholar
Rossetti, H. C., Munro Cullum, C., Hynan, L. S. and Lacritz, L. H. (2010). The CERAD Neuropsychologic Battery total score and the progression of Alzheimer's disease. Alzheimer's Disease and Associated Disorders, 24, 138–142.Google Scholar
Seo, E. H. et al. (2010). Total scores of the CERAD Neuropsychological Assessment Battery: validation for mild cognitive impairment and dementia patients with diverse etiologies. American Journal of Geriatric Psychiatry, 18, 801–809.Google Scholar
Spangenberg, K. B., Henderson, S. and Wagner, M. T. (1997). Validity of a recall and recognition condition to assess visual memory in the CERAD battery. Applied Neuropsychology, 4, 154–159.Google Scholar
Unverzagt, F. W. et al. (1996). Effects of age, education, and gender on CERAD neuropsychological test performance in an African-American sample. Clinical Neuropsychologist, 10, 180–190.Google Scholar
Wiederholt, W. C., Cahn, D., Butters, N. M., Salmon, D. P., Kritz-Silverstein, D. and Barrett-Connor, E. (1993). Effects of age, gender and education on selected neuropsychological tests in an elderly community cohort. Journal of the American Geriatrics Society, 41, 639–647.Google Scholar