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The common objects memory test (COMT): A simple test with cross-cultural applicability

Published online by Cambridge University Press:  01 March 2010

DANIEL KEMPLER ,
EVELYN L. TENG ,
MARIBEL TAUSSIG  and
MALCOLM B. DICK
DANIEL KEMPLER*
Affiliation:
Communication Sciences and Disorders, Emerson College, Boston, Massachusetts
EVELYN L. TENG
Affiliation:
Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California
MARIBEL TAUSSIG
Affiliation:
Scottsdale, Arizona
MALCOLM B. DICK
Affiliation:
Alzheimer’s Disease Research Center, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California
*
*Correspondence and reprint requests to: Daniel Kempler, Communication Sciences and Disorders, Emerson College, 120 Boylston St., Boston, MA 02116. E-mail: [email protected]
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Abstract

The Common Objects Memory Test (COMT) was developed to assess age-related memory impairments in individuals with a range of educational, language and cultural backgrounds. The COMT is a list-learning protocol that uses photographs of common objects to bypass difficulties posed by written words for individuals who are illiterate or have limited education. Preliminary data are presented for 336 healthy adults and 90 patients with dementia. Their age ranged from 54 to 99 years, education ranged from 0 to 22 years, and they were from five culturally and linguistically distinct populations: Caucasian and African-American English speakers, and native Chinese, Spanish, and Vietnamese speakers. Performance on the COMT was influenced by age, but little influenced by education, and un-influenced by gender or ethnic background. Among 11 neuropsychological tests, the recall scores from the COMT best distinguished healthy individuals from patients with dementia, underscoring its clinical utility for ethnically diverse populations. (JINS, 2010, 16, 537–545.)

Keywords

MemoryLearningAgingDementiaAlzheimer diseaseCross-cultural comparisonEducationLanguage
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 16 , Issue 3 , May 2010 , pp. 537 - 545
Copyright
Copyright © The International Neuropsychological Society 2010

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References

REFERENCES

Almor, A., Aronoiff, J.M., MacDonald, M.C., Gonnerman, L.M., Kempler, D., Hintiryan, H., et al. (2009). A common mechanism in verb and noun naming deficits in Alzheimer’s patients. Brain and Language, 111, 8–19.CrossRefGoogle ScholarPubMed
Ardila, A., Rosselli, M., & Rosas, P. (1989). Neuropsychological assessment of illiterates: Visuospatial and memory abilities. Brain and Cognition, 11, 147–166.CrossRefGoogle ScholarPubMed
Delis, D.C., Kramer, J.H., Kaplan, E., & Ober, B.A. (2000). California verbal learning test-second edition (CVLT-II). San Antonio, TX: Psychological Corporation.Google Scholar
Dick, M.B., Teng, E.L., Kempler, D., Davis, D.S., & Taussig, I.M. (2002). The cross-cultural neuropsychological test battery (CCNB): Effects of age, education, ethnicity, and cognitive status on performance. In Ferraro, F.R. (Ed.), Minority and cross-cultural aspects of neuropsychological assessment (pp. 17–41). Lisse, the Netherlands: Swets & Zeitlinger.Google Scholar
Escobar, J.I., Burnam, A., Karno, M., Forsythe, A., Landsverk, J., & Golding, J.M. (1986). Use of the mini-mental state examination in a community population of mixed ethnicity. The Journal of Nervous and Mental Disease, 174, 607–614.CrossRefGoogle Scholar
Ferraro, F.R. (Ed.). (2002). Minority and cross-cultural aspects of neuropsychological assessment. Lisse, the Netherlands: Swets & Zeitlinger.Google Scholar
Fillenbaum, G.G., van Belle, G., Morris, J.C., Mohs, R.C., Mirra, S.S., Davis, P.C., et al. (2008). Consortium to establish a registry for Alzheimer’s disease (CERAD): The first twenty years. Alzheimer’s & Dementia, 4, 96–109.CrossRefGoogle ScholarPubMed
Fletcher-Janzen, E., Strickland, T.L., & Reynolds, C.R. (Eds.). (2002). Handbook of cross-cultural neuropsychology. New York: Klumer Academic/Plenum Publishers.Google Scholar
Fuld, P.A. (1980). Guaranteed stimulus-processing in the evaluation of memory and learning. Cortex, 16, 255–272.CrossRefGoogle ScholarPubMed
Fuld, P.A., Masur, D.M., Blau, A.D., Crystal, H., & Aronson, M.K. (1990). Object-memory evaluation for prospective detection of dementia in normal functioning elderly: Predictive and normative data. Journal of Clinical and Experimental Neuropsychology, 12, 520–528.CrossRefGoogle ScholarPubMed
Ganguli, M., Ratcliff, G., Belle, S., Huff, F.J., & Kancel, M.J. (1991). Effects of age, gender, and education on cognitive tests in an elderly rural community sample: Norms from the Monongahela Valley Independent Elders Survey (MoVIES). Neuroepidemiology, 10, 42–52.CrossRefGoogle Scholar
Gonnerman, L.M., Andersen, E.S., Devlin, J.T., Kempler, D., & Seidenberg, M.S. (1997). Double dissociation of semantic categories in Alzheimer’s disease. Brain and Language, 57, 254–279.CrossRefGoogle ScholarPubMed
Hughes, C.P., Berg, L., Danziger, W.L., Coben, L.A., & Martin, R.L. (1982). A new clinical scale for the staging of dementia. The British Journal of Psychiatry, 140, 566–572.CrossRefGoogle ScholarPubMed
Jorm, A.F., & Jacomb, P.A. (1989). The informant questionnaire on cognitive decline in the elderly (IQCODE): Socio-demographic correlates, reliability, validity and some norms. Psychological Medicine, 19, 1015–1022.CrossRefGoogle ScholarPubMed
Jorm, A.F., Scott, R., Cullen, J.S., & Mackinnon, A.J. (1991). Performance of the informant questionnaire on cognitive decline in the elderly (IQCODE) as a screening test for dementia. Psychological Medicine, 21, 785–790.CrossRefGoogle ScholarPubMed
Kempler, D., Teng, E.L., Dick, M.B., Taussig, I.M., & Davis, D.S. (1998). The effects of age, education, and ethnicity on verbal fluency. Journal of the International Neuropsychological Society, 4, 531–538.CrossRefGoogle ScholarPubMed
Lezak, M.D., Howieson, D.B., & Loring, D.W. (2004). Neuropsychological assessment. New York: Oxford University Press.Google Scholar
Liu, H.-C., Teng, E.L., Lin, K.-N., Hsu, T.-C., Guo, N.-W., Chou, P., et al. (1994). Performance on a dementia screening test in relation to demographic variables: Study of 5297 community residents in Taiwan. Archives of Neurology, 51, 910–915.CrossRefGoogle ScholarPubMed
Loewenstein, D.A., Duara, R., Arguelles, T., & Arguelles, S. (1995). Use of Fuld object-memory evaluation in the detection of mild dementia among Spanish- and English-Speaking groups. American Journal of Geriatric Psychiatry, 3, 300–307.CrossRefGoogle ScholarPubMed
López, S.R., & Taussig, I.M. (1991). Cognitive-intellectual functioning of Spanish-speaking impaired and nonimpaired elderly: Implications for psychological assessments. Journal of Consulting and Clinical Psychology, 3, 448–454.Google Scholar
Marcopulos, B.A., McLain, C.A., & Giuliano, A.J. (1997). Cognitive impairment or inadequate norms: A study of healthy, rural, older adults with limited education. Clinical Neuropsychologist, 11, 111–131.CrossRefGoogle Scholar
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & 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, 939–944.CrossRefGoogle ScholarPubMed
Morris, J.C., Heyman, A., Mohs, R.C., Hughes, J.P., van Belle, G., Fillenbaum, G., et al. (1989). The consortium to establish a registry for Alzheimer’s disease (CERAD). Part 1. Clinical and neuropsychological assessment of Alzheimer’s disease. Neurology, 39, 1159–1165.Google Scholar
Nell, V. (2000). Cross cultural neuropsychological assessment: Theory and practice. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.Google Scholar
O’Bryant, S.E., O’Jile, J.R., & McCaffrey, R.J. (2004). Reporting of demographic variables in neuropsychological research: Trends in the current literature. The Clinical Neuropsychologist, 18, 229–233.CrossRefGoogle ScholarPubMed
O’Connor, D.W., Pollitt, P.A., & Treasure, F.P. (1989). The influence of education, social class, and sex on Mini-Mental State scores. Psychological Medicine, 19, 771–776.CrossRefGoogle ScholarPubMed
Ostrosky-Solís, F., & Lozano, A. (2006). Digit span: Effect of education and culture. International Journal of Psychology, 41, 333–341.CrossRefGoogle Scholar
Pew Research Center. (2008). U.S. population projections: 2005–2050. Washington, DC: Passel, J.S. & Cohn, D.Google Scholar
Radloff, L.S. (1977). The CES-D scale: A self report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.CrossRefGoogle Scholar
Reitan, R.M. (1958). Validity of the trail making test as an indicator of organic brain damage. Perceptual and Motor Skills, 8, 271–276.CrossRefGoogle Scholar
Rosen, W.G., Terry, R.D., Fuld, P.A., Katzman, R., & Peck, A. (1980). Pathological verification of ischemic score in differentiation of dementia. Annals of Neurology, 7, 486–488.CrossRefGoogle Scholar
Ross, L.K., Brennan, C., Nazareno, J., & Fox, P. (2009). Alzheimer’s disease facts and figures in California: Current status and future projections. Prepared for the Alzheimer’s Association, California Council on February. San Francisco: University of California; 2009.Google Scholar
Rosselli, M., Ardila, A., & Rosas, P. (1990). Neuropsychological assessment in illiterates: Language and praxis abilities. Brain and Cognition, 12, 281–296.CrossRefGoogle Scholar
Schmidt, M. (1996). Rey auditory and verbal learning test. A handbook. Los Angeles: Western Psychological Services.Google Scholar
Taussig, I.M., Henderson, V.W., & Mack, W. (1992). Spanish translation and validation of a neuropsychological battery: Performance of Spanish- and English-speaking Alzheimer’s disease patients and normal comparison subjects. Clinical Gerontologist, 11, 95–108.CrossRefGoogle Scholar
Teng, E.L. (1996). Cross-cultural testing and the cognitive abilities screening instrument. In Yeo, G., & Gallagher-Thompson, D. (Eds.), Ethnicity and the dementias (pp. 77–85). Washington, DC: Taylor & Francis.Google Scholar
Teng, E.L., Hasegawa, K., Homma, A., Imai, Y., Larson, E., Graves, A., et al. (1994). The cognitive abilities screening instrument (CASI): A practical test for cross-cultural epidemiological studies of dementia. International Psychogeriatrics, 6, 45–58.CrossRefGoogle Scholar
U.S. Census Bureau. (2004). U.S. interim projections by age, sex, race, and Hispanic origin. Retrieved from www.census.gov/ipc/www/usinterimproj/Google Scholar
U.S. Department of Commerce. (1999). Minority population growth: 1995 to 2050. Retrieved from www.mbda.gov/documents/mbdacolor.pdf.Google Scholar
Wechsler, D. (1981). Wechsler adult intelligence scale, Revised. San Antonio, TX: The Psychological Corporation.Google Scholar
Wechsler, D. (1997). Wechsler memory scale, third edition. San Antonio, TX: The Psychological Corporation.Google Scholar
Yeo, G. (2006). Prevalence of dementia among different ethnic populations. In Yeo, G. & Gallagher-Thompson, D. (Eds.), Ethnicity and the dementias, second edition, 3–11. New York: Taylor, & Francis.Google Scholar