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Substantial risk of “Accidental MCI” in healthy older adults: Base rates of low memory scores in neuropsychological assessment

Published online by Cambridge University Press:  20 March 2007

BRIAN L. BROOKS ,
GRANT L. IVERSON  and
TRAVIS WHITE
BRIAN L. BROOKS
Affiliation:
British Columbia Mental Health & Addiction Services, Riverview Hospital, Coquitlam, British Columbia
GRANT L. IVERSON
Affiliation:
British Columbia Mental Health & Addiction Services, Riverview Hospital, Coquitlam, British Columbia Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia
TRAVIS WHITE
Affiliation:
Psychological Assessment Resources Inc., Lutz, Florida
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Abstract

When assessing older adults for mild cognitive impairment (MCI) or dementia, it is important to understand how often low memory scores are obtained in healthy people in order to minimize false positive diagnoses. This study examines the base rates of low memory scores in older adults across a battery of memory tests. Participants included older adults (55–79 years; N = 742) from the Neuropsychological Assessment Battery (NAB; Stern & White, 2003a) standardization sample. The NAB Memory Module consists of four co-normed memory tests (i.e., List Learning, Shape Learning, Story Learning, and Daily Living Memory) yielding 10 demographically corrected T-scores. When all 10 T-scores were examined simultaneously, 55.5% of older adults had one or more scores one standard deviation (SD) below the mean. At <1.5 SDs, 30.8% of healthy older adults obtained one or more low memory scores. Obtaining low memory scores occurs more often with lesser intellectual abilities. For example, 56.5% of older adults with low average intellectual abilities obtained one or more low memory scores (<1.5 SDs) compared to 21.1% with high average intellectual abilities. Understanding the base rates of low scores can reduce over-interpretation of isolated low memory scores and minimize false positive diagnoses of MCI. (JINS, 2007, 13, 490–500.)The data in Tables 3, 4, 5, 6, and 7 are original data produced by special permission of the Publisher, Psychological Assessment Resources, Inc., 16204 North Florida Avenue, Lutz, Florida 33549, from the standardization data presented in the Neuropsychological Assessment Battery Psychometric and Technical Manual by Travis White, Ph.D. and Robert A. Stern, Ph.D. Copyright 2001, 2003 by PAR, Inc. Further reproduction is prohibited without permission from PAR, Inc.

Keywords

Cognitive disordersElderlyPsychometricsDiagnosisDementiaNeuropsychological tests
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 13 , Issue 3 , May 2007 , pp. 490 - 500
Copyright
© 2007 The International Neuropsychological Society

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References

REFERENCES

American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington: Author.
Benedict, R.H.B., Schretlen, D., Groninger, L., & Brandt, J. (1998). Hopkins Verbal Learning Test–Revised. The Clinical Neuropsychologist, 12, 43–55.Google Scholar
Blackford, R.C. & LaRue, A. (1989). Criteria for diagnosing Age-Associated Memory Impairment: Proposed improvements from the field. Development Neuropsychology, 5, 295–306.Google Scholar
Boeve, B., McCormick, J., Smith, G., Ferman, T., Rummans, T., Carpenter, T., Ivnik, R., Kokmen, E., Tangalos, E., Edland, S., Knopman, D., & Petersen, R. (2003). Mild cognitive impairment in the oldest old. Neurology, 60, 477–480.Google Scholar
Delis, D.C., Kramer, J.H., Kaplan, E., & Ober, B.A. (2000). California Verbal Learning Test (2nd ed.). San Antonio, TX: The Psychological Corporation.
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, 879–885.Google Scholar
Devanand, D.P., Folz, M., Gorlyn, M., Moeller, J.R., & Stern, Y. (1997). Questionable dementia: Clinical course and predictors of outcome. Journal of the American Geriatrics Society, 45, 321–328.Google Scholar
Dodrill, C.B. (1997). Myths of neuropsychology. The Clinical Neuropsychologist, 11, 1–17.Google Scholar
Dodrill, C.B. (1999). Myths of neuropsychology: Further considerations. The Clinical Neuropsychologist, 13, 562–572.Google Scholar
Fisk, J.D., Merry, H.R., & Rockwood, K. (2003). Variations in case definition affect prevalence but not outcomes of mild cognitive impairment. Neurology, 61, 1179–1184.Google Scholar
Ganguli, M., Dodge, H.H., Shen, C., & DeKosky, S.T. (2004). Mild cognitive impairment, amnestic type: An epidemiologic study. Neurology, 63, 115–121.Google Scholar
Gauthier, S., Reisberg, B., Zaudig, M., Petersen, R.C., Ritchie, K., Broich, K., Belleville, S., Brodaty, H., Bennett, D., Chertkow, H., Cummings, J.L., de Leon, M., Feldman, H., Ganguli, M., Hampel, H., Scheltens, P., Tierney, M.C., Whitehouse, P., & Winblad, B. (2006). Mild cognitive impairment. Lancet, 367, 1262–1270.Google Scholar
Gorsuch, R.L. (1983). The theory of continuous norming. Paper presented at the annual meeting of the American Psychiatric Association. Anaheim, CA.
Griffith, H.R., Netson, K.L., Harrell, L.E., Zamrini, E.Y., Brockington, J.C., & Marson, D.C. (2006). Amnestic mild cognitive impairment: Diagnostic outcomes and clinical prediction over a two-year time period. Journal of the International Neuropsychological Society, 12, 166–175.Google Scholar
Heaton, R.K., Chelune, G.J., Talley, J.L., Kay, G.G., & Curtiss, G. (1993). Wisconsin Card Sorting Test (WCST) Manual, Revised and Expanded. Lutz, FL: Psychological Assessment Resources.
Heaton, R.K., Grant, I., & Matthews, C.G. (1991). Comprehensive norms for an expanded Halstead-Reitan battery: Demographic corrections, research findings, and clinical applications. Lutz, FL: Psychological Assessment Resources, Inc.
Heaton, R., 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, Inc.
Jack, C.R., Jr., Shiung, M.M., Weigand, S.D., O'Brien, P.C., Gunter, J.L., Boeve, B.F., Knopman, D.S., Smith, G.E., Ivnik, R.J., Tangalos, E.G., & Petersen, R.C. (2005). Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI. Neurology, 65, 1227–1231.Google Scholar
Kantarci, K., Petersen, R.C., Boeve, B.F., Knopman, D.S., Weigand, S.D., O'Brien, P.C., Shiung, M.M., Smith, G.E., Ivnik, R.J., Tangalos, E.G., & Jack, C.R., Jr. (2005). DWI predicts future progression to Alzheimer disease in amnestic mild cognitive impairment. Neurology, 64, 902–904.Google Scholar
Kongs, S.K., Thompson, L.L., Iverson, G.I., & Heaton, R.K. (2000). Wisconsin Card Sorting Test—64 card version, professional manual. Lutz, FL: Psychological Assessment Resources, Inc.
Kryscio, R.J., Schmitt, F.A., Salazar, J.C., Mendiondo, M.S., & Markesbery, W.R. (2006). Risk factors for transitions from normal to mild cognitive impairment and dementia. Neurology, 66, 828–832.Google Scholar
Larrieu, S., Letenneur, L., Orgogozo, J.M., Fabrigoule, C., Amieva, H., Le Carret, N., Barberger-Gateau, P., & Dartigues, J.F. (2002). Incidence and outcome of mild cognitive impairment in a population-based prospective cohort. Neurology, 59, 1594–1599.Google Scholar
Levy, R. (1994). Aging-associated cognitive decline. Working Party of the International Psychogeriatric Association in collaboration with the World Health Organization. International Psychogeriatrics, 6, 63–68.Google Scholar
Meyers, J.E. & Meyers, K.R. (1995). Rey Complex Figure Test and recognition trial professional manual. Lutz, FL: Psychological Assessment Resources, Inc.
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, 503–511.Google Scholar
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, 303–308.Google Scholar
Petersen, R.C., Stevens, J.C., Ganguli, M., Tangalos, E.G., Cummings, J.L., & DeKosky, S.T. (2001). Practice parameter: Early detection of dementia: Mild cognitive impairment (an evidence-based review). Report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology, 56, 1133–1142.Google Scholar
Portet, F., Ousset, P.J., Visser, P.J., Frisoni, G.B., Nobili, F., Scheltens, P., Vellas, B., & Touchon, J. (2006). Mild cognitive impairment (MCI) in medical practice: A critical review of the concept and new diagnostic procedure. Report of the MCI Working Group of the European Consortium on Alzheimer's Disease. Journal of Neurology, Neurosurgery and Psychiatry, 77, 714–718.Google Scholar
Psychological Corporation. (1997). WAIS-III/WMS-III technical manual. San Antonio, TX: Author.
Psychological Corporation. (2001). Wechsler Adult Intelligence Scale (3rd ed.). Canadian technical manual. Ontario: Harcourt Canada.
Reynolds, C.R. & Kamphaus, R.W. (2003). Reynolds Intellectual Screening Test. Lutz, FL: Psychological Assessment Resources.
Steinberg, B.A., Bieliauskas, L.A., Smith, G.E., & Ivnik, R.J. (2005a). Mayo's older Americans normative studies: Age- and IQ-adjusted norms for the Trail-Making Test, the Stroop Test, and MAE Controlled Oral Word Association Test. The Clinical Neuropsychologist, 19, 329–377.Google Scholar
Steinberg, B.A., Bieliauskas, L.A., Smith, G.E., & Ivnik, R.J. (2005b). Mayo's older Americans normative studies: Age- and IQ-adjusted norms for the Wechsler Memory Scale–Revised. The Clinical Neuropsychologist, 19, 378–463.Google Scholar
Steinberg, B.A., Bieliauskas, L.A., Smith, G.E., Ivnik, R.J., & Malec, J.F. (2005c). Mayo's older Americans normative studies: Age- and IQ-adjusted norms for the Auditory Verbal Learning Test and the Visual Spatial Learning Test. The Clinical Neuropsychologist, 19, 464–523.Google Scholar
Steinberg, B.A., Bieliauskas, L.A., Smith, G.E., Langellotti, C., & Ivnik, R.J. (2005d). Mayo's older Americans normative studies: Age- and IQ-adjusted norms for the Boston Naming Test, the MAE Token Test, and the Judgment of Line Orientation Test. The Clinical Neuropsychologist, 19, 280–328.Google Scholar
Stern, R.A. & White, T. (2003a). Neuropsychological Assessment Battery. Lutz, FL: Psychological Assessment Battery.
Stern, R.A. & White, T. (2003b). Neuropsychological Assessment Battery: Administration, scoring, and interpretation manual. Lutz, FL: Psychological Assessment Resources.
White, T. & Stern, R.A. (2003). Neuropsychological Assessment Battery: Psychometric and technical manual. Lutz, FL: Psychological Assessment Resources.
World Health Organization. (1993). The ICD-10 classification of mental and behavioural disorders: Diagnostic criteria for research. Geneva: Author.
Zachary, R.A. & Gorsuch, R.L. (1985). Continuous norming: implications for the WAIS-R. Journal of Clinical Psychology, 41, 86–94.Google Scholar