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Cancellation test performance in African American, Hispanic, and White elderly

Published online by Cambridge University Press:  01 May 2004

DESIREE A. BYRD ,
PEGAH TOURADJI ,
MING-XIN TANG  and
JENNIFER J. MANLY
DESIREE A. BYRD
Affiliation:
G. H. Sergievsky Center, Columbia University College of Physicians and Surgeons, New York, NY
PEGAH TOURADJI
Affiliation:
G. H. Sergievsky Center, Columbia University College of Physicians and Surgeons, New York, NY
MING-XIN TANG
Affiliation:
G. H. Sergievsky Center, Columbia University College of Physicians and Surgeons, New York, NY Division of Biostatistics, School of Public Health, Columbia University College of Physicians and Surgeons, New York, NY
JENNIFER J. MANLY
Affiliation:
G. H. Sergievsky Center, Columbia University College of Physicians and Surgeons, New York, NY Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York, NY
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Abstract

Shape and letter cancellation test performance was investigated among large samples of African American, Hispanic, and White non-demented elders. Ethnic minority elders took significantly longer to complete both tasks compared to Whites. An index of task efficiency, which simultaneously measures time and accuracy, suggested that slower time by minority elders was not related to a measurable effort to achieve greater accuracy. The frequency of commission errors was greater in our sample than in previous reports, especially among ethnic minority elders. Although significant differences were observed between the ethnic groups when matched for years of education, equating for literacy level eliminated all performance differences between African Americans and Whites on both cancellation tasks. (JINS, 2004, 10, 401–411.)

Keywords

Cancellation testsCognitive styleEthnicity differences
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 10 , Issue 3 , May 2004 , pp. 401 - 411
Copyright
© 2004 The International Neuropsychological Society

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References

REFERENCES

Aglioti, S., Smania, N., Barbieri, C., & Corbetta, M. (1997). Influence of stimulus salience and attentional demands on visual search patterns in hemispatial neglect. Brain and Cognition, 34, 388–403.Google Scholar
Amieva, H., Lafont, S., Dartigues, F., & Fabrigoule, C. (1999). Selective attention in Alzheimer's disease: Analysis of errors in Zarro's cancellation task. Brain and Cognition, 40, 26–29.Google Scholar
Baddeley, A.D., Baddeley, H.A., Bucks, R.S., & Wilcock, G.K. (2001). Attentional control in Alzheimer's disease. Brain, 124, 1492–1508.Google Scholar
Benton, A.L. (1955). The Visual Retention Test. New York: The Psychological Corporation.
Berry, J.W., Poortinga, Y.H., Segall, M.H., & Dasen, P.R. (2002). Cross-cultural psychology: Research and applications (2nd ed.). Cambridge, UK: Cambridge University Press.
Buschke, H. & Fuld, P.A. (1974). Evaluating storage, retention, and retrieval in disordered memory and learning. Neurology, 24, 1019–1025.Google Scholar
Della Sala, S., Laiacona, M., Spinnler, H., & Ubezio, C. (1992). A cancellation test: Its reliability in assessing attentional deficits in Alzheimer's disease. Psychological Medicine, 22, 805–901.Google Scholar
Diehr, M.C., Heaton, R.K., Miller, W., & Grant, I. (1998). The Paced Auditory Serial Addition Task (PASAT): Norms for age, education, and ethnicity. Assessment, 5, 375–387.Google Scholar
Duncan, J. & Humphreys, G.W. (1989). Visual search and stimulus similarity. Psychological Review, 96, 433–458.Google Scholar
Filley, C.M. & Cullum, C. (1994). Attention and vigilance functions in normal aging. Applied Neuropsychology, 1, 29–32.Google Scholar
Foldi, N.S., Jutagir, R., Davidoff, D., & Gould, T. (1992). Selective attention skills in Alzheimer's disease: Performance on graded cancellation tests varying in density and complexity. Journal of Gerontology, 47, 146–153.Google Scholar
Foster, J.K., Behrmann, M., & Stuss, D.T. (1995). Aging and visual search: Generalized cognitive slowing or selective deficit in attention? Aging and Cognition, 2, 279–299.Google Scholar
Geldmacher, D.S. (1998). Stimulus characteristics determine processing approach on random array letter-cancellation tasks. Brain and Cognition, 36, 346–354.Google Scholar
Geldmacher, D.S., Doty, L., & Heilman, K.M. (1995). Letter cancellation performance in Alzheimer's disease. Neuropsychiatry, Neuropsychology, & Behavioral Neurology, 8, 259–263.Google Scholar
Geldmacher, D.S., Fritsch, T., & Riedel, T.M. (2000). Effects of stimulus properties and age on random-array letter cancellation tasks. Aging, Neuropsychology and Cognition, 7, 194–204.Google Scholar
Geldmacher, D.S. & Hills, E.C. (1997). Effect of stimulus number, target-to-distractor ratio, and motor speed on visual spatial search quality following traumatic brain injury. Brain Injury, 11, 59–66.Google Scholar
Geldmacher, D.S. & Riedel, T.M. (1999). Age effects on random-array letter cancellation tests. Neuropsychiatry, Neuropsychology, and Behavioral Neurology, 12, 28–34.Google Scholar
Heaton, R.K., Grant, I., & Matthews, C.G. (1991). Comprehensive norms for an Expanded Halstead-Reitan Battery: Demographic corrections, research findings, and clinical applications. Odessa, FL: Psychological Assessment Resources.
Helms, J.E. (1992). Why is there no study of cultural equivalence in standardized cognitive ability testing? American Psychologist, 47, 1083–1101.Google Scholar
Hills, E.C. & Geldmacher, D.S. (1998). The effect of character and array type on visual spatial search quality following traumatic brain injury. Brain Injury, 12, 69–76.Google Scholar
Jacobs, D.M, Sano, M., Albert, S., Schofield, P., Dooneief, G., & Stern, Y. (1997). Cross-cultural neuropsychological assessment: A comparison of randomly selected, demographically matched cohorts of English- and Spanish-speaking older adults. Journal of Clinical and Experimental Neuropsychology, 19, 331–339.Google Scholar
Jones, J. (1998). Cultural differences in temporal perspectives. In J. McGrath (Ed.), The social psychology of time, new perspectives (pp. 21–38). Beverly Hills, CA: Sage Publications.
Kelland, D.Z. & Lewis, R.F. (1996). The Digit Vigilance Test: Reliability, validity, and sensitivity to diazepam. Archives of Clinical Neuropsychology, 11, 339–344.Google Scholar
Klineberg, O. (1928). An experimental study of speed and other factors in racial differences. Archives of Psychology, Number 93.Google Scholar
Levine, R. (1997). A geography of time: The temporal misadventures of a social psychologist, or how every culture keeps time just a little bit differently. New York : BasicBooks.
Lewis, R.F. & Rennick, P.M. (1979). Manual for the Repeatable Cognitive–Perceptual–Motor Battery. Clinton Township, MI: Ronald F. Lewis.
Lezak, M.D. (1995). Neuropsychological assessment (3rd ed.). New York: Oxford University Press.
Llabre, M. (1991). Time as a factor in the cognitive test performance of Latino college students. In G.D. Keller, J.R. Deneen, & R.J. Magallan (Eds.), Assessment and access: Hispanics in higher education (pp. 95–104). Albany: State University of New York Press.
Llabre, M. & Froman, T. (1987). Allocation of time to test items: A study of ethnic differences. Journal of Experimental Education, 55, 137–140.Google Scholar
Lockwood, K.A., Marcotte, A.C., & Stern, C. (2001). Differentiation of attention-deficit/hyperactivity disorder subtypes: Application of neuropsychological model of attention. Journal of Clinical and Experimental Neuropsychology, 23, 317–330.Google Scholar
Manly, J.J., Jacobs, D.M., Touradji, P., Small, S.A., & Stern, Y. (2002). Reading level attenuates differences in neuropsychological test performance between African American and White elders. Journal of the International Neuropsychological Society, 8, 341–348.Google Scholar
Marshall, J.C. & Halligan, P.W. (1989). Does the midsagital plane play any privileged role in “left” neglect? Cognitive Neuropsychology, 6, 403–422.Google Scholar
Mennemeier, M., Rapscak, S.Z., Dillon, M., & Vezey, E. (1998). A search for the optimal stimulus. Brain and Cognition, 37, 439–459.Google Scholar
Miller, E.N., Bing, E.G., Selnes, O.A., Wesch, J., & Becker, J.T. (1993). The effects of sociodemographic factors on reaction time and speed of information processing. Journal of Clinical and Experimental Neuropsychology, 15, 66.Google Scholar
Perry, R.J. & Hodges, J.R. (1999). Attention and executive deficits in Alzheimer's disease: A critical review. Brain, 122, 383–404.Google Scholar
Perry, R.J., Watson, P., & Hodges, J.R. (2000). The nature and staging of attention dysfunction in early (minimal and mild) Alzheimer's disease: Relationship to episodic and semantic memory impairment. Neuropsychologia, 38, 252–271.Google Scholar
Sano, M., Rosen, W., & Mayeux, R. (1984, August). Attention deficits in Alzheimer's disease. Poster session presented at the annual meeting of the American Psychological Association, Toronto, Ontario, Canada.
Shor, R. (1971). Symbol processing speed differences and symbol interference effects in a variety of concept domains. Journal of General Psychology, 85, 187–205.Google Scholar
Stern, Y., Andrews, H., Pittman, J., Sano, M., Tatemichi, T., Lantigua, R., & Mayeux, R. (1992). Diagnosis of dementia in a heterogeneous population. Development of a neuropsychological paradigm-based diagnosis of dementia and quantified correction for the effects of education. Archives of Neurology, 49, 453–460.Google Scholar
SPSS for Windows, Release 9.0.0 [Computer software]. (1998). Chicago: SPSS Incorporated.
United States Bureau of the Census. (1991). Census of Population and Housing 1990. Summary tape file 1, technical documentation prepared by the Bureau of the Census. Washington, DC: Bureau of the Census.
Weintraub, S. & Mesulam, M. (1987). Right cerebral dominance in spatial attention: Further evidence based on ipsilateral neglect. Archives of Neurology, 44, 621–625.Google Scholar
Weintraub, S. & Mesulam, M. (1988). Visual hemispatial inattention: Stimulus parameters and exploratory strategies. Journal of Neurology, Neurosurgery and Psychiatry, 51, 1481–1488.Google Scholar
Wilkinson, G.S. (1993). Wide Range Achievement Test 3–Administration manual. Wilmington, DE: Jastak Associates, Inc.
Willis, M.G. (1989). Learning styles of African American children: A review of the literature and interventions. Journal of Black Psychology, 16, 47–65.Google Scholar