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Healthy children and adolescents obtain some low scores across a battery of memory tests

Published online by Cambridge University Press:  01 July 2009

BRIAN L. BROOKS ,
GRANT L. IVERSON ,
ELISABETH M.S. SHERMAN  and
JAMES A. HOLDNACK
BRIAN L. BROOKS*
Affiliation:
Neurosciences Program, Alberta Children’s Hospital, Calgary, Alberta, Canada Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
GRANT L. IVERSON
Affiliation:
Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada Research Department, British Columbia Mental Health & Addiction Services, Coquitlam, British Columbia, Canada
ELISABETH M.S. SHERMAN
Affiliation:
Neurosciences Program, Alberta Children’s Hospital, Calgary, Alberta, Canada Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada Department of Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
JAMES A. HOLDNACK
Affiliation:
Clinical Content Development, Pearson Assessment, San Antonio, Texas
*
*Correspondence and reprint requests to: Brian L. Brooks, Neurosciences Program, Alberta Children’s Hospital, 2888 Shaganappi Trail NW, Calgary, Alberta, Canada T3B 6A8. E-mail: [email protected]
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Abstract

Obtaining some low memory scores across a battery of tests is common. The purpose of this study was to examine the prevalence of low scores on the Children’s Memory Scale (CMS). Participants were 1000 children and adolescents between 5 and 16 years of age from the CMS standardization sample. Consistent with research on other batteries, having some low memory scores is common in healthy children and adolescents. The prevalence of low memory scores also increases with lower intelligence. Clinicians should be cautious when interpreting isolated low memory scores as sole evidence of memory impairment. Knowing the prevalence of low scores as a supplement to clinical judgment should reduce the likelihood of misdiagnosing memory problems. (JINS, 2009, 15, 613–617.)

Keywords

ChildrenPediatricMemoryPsychometricBase rateMisdiagnosis
Type
Brief Communications
Information
Journal of the International Neuropsychological Society , Volume 15 , Issue 4 , July 2009 , pp. 613 - 617
Copyright
Copyright © The International Neuropsychological Society 2009

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References

REFERENCES

Axelrod, B.N. & Wall, J.R. (2007). Expectancy of impaired neuropsychological test scores in a non-clinical sample. International Journal of Neuroscience, 117(11), 1591–1602.CrossRefGoogle Scholar
Binder, LM., Iverson, GL., Brooks, BL. (2009). To err is human: “abnormal” neuropsychological scores and variability are common in healthy adults. Archives of Clinical Neuropsychology, 24(1), 31–46.CrossRefGoogle Scholar
Brooks, B.L., Iverson, G.L., Holdnack, J.A., & Feldman, H.H. (2008). Potential for misclassification of mild cognitive impairment: A study of memory scores on the Wechsler Memory Scale-III in healthy older adults. Journal of the International Neuropsychological Society, 14(3), 463–478.CrossRefGoogle ScholarPubMed
Brooks, B.L., Iverson, G.L., & White, T. (2007). Substantial risk of “Accidental MCI” in healthy older adults: Base rates of low memory scores in neuropsychological assessment. Journal of the International Neuropsychological Society, 13(3), 490–500.CrossRefGoogle ScholarPubMed
Cohen, M.J. (1997). Children’s Memory Scale, manual. San Antonio, TX: The Psychological Corporation.Google Scholar
Crawford, J.R., Garthwaite, P.H., & Gault, C.B. (2007). Estimating the percentage of the population with abnormally low scores (or abnormally large score differences) on standardized neuropsychological test batteries: A generic method with applications. Neuropsychology, 21(4), 419–430.CrossRefGoogle ScholarPubMed
Heaton, R.K., Grant, I., & Matthews, C.G. (1991). Comprehensive norms for an extended Halstead-Reitan Battery: Demographic corrections, research findings, and clinical applications. Odessa, FL: Psychological Assessment Resources, Inc.Google Scholar
Heaton, R.K., Miller, S.W., Taylor, M.J., & Grant, I. (2004). Revised comprehensive norms for an expanded Halstead-Reitan Battery: Demographically adjusted neuropsychological norms for African American and Caucasian adults professional manual. Lutz, FL: Psychological Assessment Resources.Google Scholar
Iverson, G.L. & Brooks, B.L. (in press). Improving accuracy for identifying cognitive impairment. In Schoenberg, M.R. & Scott, J.G. (Eds.), The black book of neuropsychology: A syndrome-based approach.Google Scholar
Iverson, G.L., Brooks, B.L., & Holdnack, J.A. (2008a). Misdiagnosis of cognitive impairment in forensic neuropsychology. In Heilbronner, R.L. (Ed.), Neuropsychology in the courtroom: Expert analysis of reports and testimony, (pp. 243–266). New York: Guilford Press.Google Scholar
Iverson, G.L., Brooks, B.L., White, T., & Stern, R.A. (2008b). Neuropsychological Assessment Battery (NAB): Introduction and advanced interpretation. In Horton, A.M. Jr & Wedding, D. (Eds.), The neuropsychology handbook, (pp. 279–343). New York: Springer Publishing, Inc.Google Scholar
Palmer, B.W., Boone, K.B., Lesser, I.M., & Wohl, M.A. (1998). Base rates of “impaired” neuropsychological test performance among healthy older adults. Archives of Clinical Neuropsychology, 13(6), 503–511.Google ScholarPubMed
Petersen, R.C., Smith, G.E., Waring, S.C., Ivnik, R.J., Tangalos, E.G., & Kokmen, E. (1999). Mild cognitive impairment: Clinical characterization and outcome. Archives of Neurology, 56(3), 303–308.CrossRefGoogle ScholarPubMed
de Rotrou, J., Wenisch, E., Chausson, C., Dray, F., Faucounau, V., & Rigaud, A.S. (2005). Accidental MCI in healthy subjects: A prospective longitudinal study. European Journal of Neurology, 12(11), 879–885.CrossRefGoogle ScholarPubMed
Schretlen, D.J., Testa, S.M., Winicki, J.M., Pearlson, G.D., & Gordon, B. (2008). Frequency and bases of abnormal performance by healthy adults on neuropsychological testing. Journal of the International Neuropsychological Society, 14(3), 436–445.CrossRefGoogle ScholarPubMed
Stern, R.A. & White, T. (2003). Neuropsychological assessment battery. Lutz, FL: Psychological Assessment Resources.Google Scholar
Wechsler, D. (1991). Wechsler Intelligence Scale for Children—Third edition. San Antonio, TX: The Psychological Corporation.Google Scholar
Wechsler, D. (1997). Wechsler Memory Scale—Third edition. San Antonio, TX: The Psychological Corporation.Google Scholar
Wechsler, D. (2003). Wechsler Intelligence Scale for Children—Fourth edition. San Antonio, TX: The Psychological Corporation.Google Scholar
Williams, D.L., Goldstein, G., & Minshew, N.J. (2005). Impaired memory for faces and social scenes in autism: Clinical implications of memory dysfunction. Archives of Clinical Neuropsychology, 20(1), 1–15.CrossRefGoogle ScholarPubMed