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Differences in Conceptual Flexibility with Age as Measured by a Modified Version of the Visual Verbal Test

Published online by Cambridge University Press:  29 November 2010

Barbara Collins
Affiliation:
Ottawa General Hospital
Andrée Tellier
Affiliation:
Ottawa General Hospital

Abstract

Age-related changes in the capacity for cognitive flexibility should be considered in social planning for the expanding elderly population and in the functional assessment of the individual geriatric patient. Current means for assessing conceptual flexibility are not particularly appropriate for use with the elderly. In the current study, a briefer and more tolerable measure of conceptual flexibility was derived from the Visual Verbal Test (VVT). This index correlated significantly with the number of perseverative errors but not the number of nonperseverative errors on the Wisconsin Card Sorting Test (WCST), attesting to its validity as a specific measure of the ability to shift mental set. A significant relationship between age and both this VVT measure of conceptual shift and the number of perseverative errors on the WCST was observed in a sample of 60 healthy elderly volunteers between the ages of 55 and 84, suggesting that cognitive flexibility is indeed negatively associated with age.

Résumé

Afin de planifier adéquatement Pour les besoins sociaux de la population gériatrique sans cesse croissante et l'évaluation fonctionnelle des personnes âgées, l'on se doit de considérer les changements d'âge observés au niveau de la flexibilité cognitive. Les mesures existantes pour l'évaluation de la flexibilité conceptuelle ne s'avèrent pas particulièrement appropriées pour la personne du troisième âge. Un index de flexibilité cognitive plus bref et plus tolerable fut extrait du Visual-Verbal Test (VVT). Une corrélation significative fut obtenue entre cette mesure et le nombre d'erreurs persévératives du Wisconsin Card Sorting Task (WCST) mais non pas avec le nombre d'erreurs non-persévératives du WCST, attestant de la validité de l'index du VVT comme mesure de flexibilité conceptuelle. Les résultats démontrèrent également que l'index du VVT et le nombre d'erreurs persévératives du WCST sont reliés de façon significative avec l'âge dans un échantillon de 60 volontaires du troisième âge (55–84 ans), suggérant qu'il y a effectivement une association négative entre la flexibilité cognitive et l'âge.

Type
Articles
Copyright
Copyright © Canadian Association on Gerontology 1994

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References

Albert, M.S., Wolfe, J., & Lafleche, G. (1990). Differences in abstraction ability with age. Psychology and Aging, 5, 95100.CrossRefGoogle ScholarPubMed
Anderson, S.W., Damasio, H., Dallas, Jones R., & Tranel, D. (1991). Wisconsin Card Sorting Test performance as a measure of frontal lobe damage. Journal of Clinical and Experimental Neuropsychology, 13, 909922.CrossRefGoogle ScholarPubMed
Arenberg, D. (1982). Changes with age in problem solving. In Craik, F.I.M. & Trehub, S. (Eds.), Aging and cognitive processes (pp. 221235). New York: Plenum Press.CrossRefGoogle Scholar
Boone, K.B., Miller, B.L., Lesser, I.M., Hill, E., & D'Elia, L. (1990). Performance on frontal lobe tests in healthy older individuals. Developmental Neuropsychology, 6, 215223.CrossRefGoogle Scholar
Drasgow, J., & Feldman, M. (1957). Conceptual processes in schizophrenia revealed by the Visual-Verbal Test. Perceptual and Motor Skills, 7(Suppl. 4), 251264.Google Scholar
Drewe, E A. (1974). The effect of type and area of brain lesion on Wisconsin Card Sorting Test performance. Cortex, 10, 159170.CrossRefGoogle ScholarPubMed
Feldman, M.J., & Drasgow, J. (1951). A Visual-Verbal Test for schizophrenia. Psychiatric Quarterly, 25(Suppl.), 5564.Google Scholar
Feldman, M.J., & Drasgow, J. (1960). The Visual-Verbal Test Manual. Los Angeles: Western Psychological Services.Google Scholar
Folstein, M., Folstein, S., & McHugh, P.R. (1975). Mini-Mental State: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198.CrossRefGoogle Scholar
Grant, D.A., & Berg, E.A. (1948). A behavioral analysis of degree of reinforcement and ease of shifting to new responses in a Weigl-type card-sorting problem. The Journal o f Experimental Psychology, 38, 404411.CrossRefGoogle Scholar
Haaland, K.Y., Vranes, L.F., Goodwin, J.S., & Garry, P.J. (1987). Wisconsin Card Sort Test performance in a healthy elderly population. Journal of Gerontology, 42, 345346.CrossRefGoogle Scholar
Heaton, R.K. (1981). Wisconsin Card Sorting Test Manual. Odessa: Psychological Assessment Resources.Google Scholar
Lezak, M.D. (1983). Neuropsychological assessment (2nd ed.). New York: Oxford University Press.Google Scholar
Libon, D.J., & Goldberg, E. (1990). The effect of age on frontal systems and visuos-patial functioning. Poster presented at the 18th annual meeting of the International Neuropsychological Society, Orlando, Florida.Google Scholar
Milner, B. (1963). Effects of different brain lesions on card sorting: The role of the frontal lobes. Archives of Neurology, 9, 90100.CrossRefGoogle Scholar
Nelson, H.E. (1976). A modified card sorting test sensitive to frontal lobe defects. Cortex, 12, 313324.CrossRefGoogle ScholarPubMed
Roman, G.C. (1987). Senile dementia of the Binswanger type: A vascular form of dementia in the elderly. Journal of the American Medical Association, 258, 17821788.CrossRefGoogle ScholarPubMed
Ruth, J.-E., & Birren, J.E. (1985). Creativity in adulthood and old age: Relations to intelligence, sex and mode of testing. International Journal of Behavioral Development, 8, 99109.CrossRefGoogle Scholar
Schaie, K.W. (1984). Midlife influences upon intellectual functioning in old age. International Journal of Human Development, 7, 463478.Google Scholar
Schaie, K.W., Dutta, R., & Willis, S.L. (1991). Relationship between rigidity-flexibility and cognitive abilities in adulthood. Psychology and Aging, 6, 371383.CrossRefGoogle ScholarPubMed
Schaie, K.W., & Parham, I.A. (1975). Manual for the Test of Behavioral Rigidity. Palo Alto: Consulting Psychologists Press.Google Scholar
Shaw, T.G., Mortel, K.F., Meyer, J.S., Rogers, R.L., Hardenberg, J., & Cutaia, M.M. (1984). Cerebral blood flow changes in benign aging and cerebrovascular disease. Neurology, 34, 855862.CrossRefGoogle ScholarPubMed
Siegel, S.M. (1957). Discrimination among mental defective, normal, schizophrenic, and brain-damaged subjects on the Visual-Verbal Concept Formation Test. American Journal of Mental Deficiency, 62, 338343.Google ScholarPubMed
Stuss, D.T., & Benson, D.F. (1986). The frontal lobes. New York: Raven Press.Google Scholar
Stuss, D.T., Benson, D.F., Kaplan, E.F., Weir, W.S., Naeser, M.A., Lieberman, I., & Ferrili, D. (1983). The involvement of orbitofrontal cerebrum in cognitive tasks. Neuropsychologia, 21, 235248.CrossRefGoogle ScholarPubMed
Warren, L.R., Butler, R.W., Katholi, C.R., & Halsey, J.H. (1985). Age differences in cerebral blood flow during rest and during mental activation: Measurements with and without monetary incentive. Journal of Gerontology, 40, 5359.CrossRefGoogle ScholarPubMed