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Florida Cognitive Activities Scale: Initial development and validation

Published online by Cambridge University Press:  28 January 2005

JOHN A. SCHINKA ,
ANGELA MCBRIDE ,
RODNEY D. VANDERPLOEG ,
KAREN TENNYSON ,
AMY R. BORENSTEIN  and
JAMES A. MORTIMER
JOHN A. SCHINKA
Affiliation:
James A. Haley VA Medical Center, Tampa Department of Psychiatry, University of South Florida, Tampa
ANGELA MCBRIDE
Affiliation:
Department of Psychiatry, University of South Florida, Tampa
RODNEY D. VANDERPLOEG
Affiliation:
Department of Psychiatry, University of South Florida, Tampa Department of Psychiatry, University of South Florida, Tampa
KAREN TENNYSON
Affiliation:
James A. Haley VA Medical Center, Tampa
AMY R. BORENSTEIN
Affiliation:
Department of Epidemiology and Biostatistics, University of South Florida, Tampa
JAMES A. MORTIMER
Affiliation:
Department of Epidemiology and Biostatistics, University of South Florida, Tampa
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Abstract

We used a rational-empirical approach in the construction and validation of a cognitive activity scale for use with elderly populations. The scale development effort produced a 25-item scale with a reasonably high level of internal consistency in a sample of 200 elderly individuals. Scale scores were positively correlated with years of education and measures of various domains of cognitive ability. In a separate cross-validation sample, a similar pattern of reliability and validity coefficients was obtained. The full scale score was found to contribute significantly to the prediction of cognitive ability after controlling for the effects of age, education, and gender. Two subscales (Higher Cognitive Abilities and Frequent Cognitive Abilities) and a measure of self-reported maintenance of cognitive activity were also developed. In a separate study, the maintenance score was found to differ significantly between the validation sample and a sample of individuals with a history of neurological disorder, with a moderate effect size (d approximately = .7). Further cross-validation studies in minority groups and groups of varying socioeconomic status will be critical in establishing the research and clinical value of the scale and subscales. (JINS, 2005, 11, 108–116.)

Keywords

CognitionAgingActivity levelNeuropsychology
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 11 , Issue 1 , January 2005 , pp. 108 - 116
Copyright
© 2005 The International Neuropsychological Society

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References

REFERENCES

Aartsen, M.J., Smits, C.H.M., van Tilburg, T., Knipscheer, K.C.P.M., & Deeg, D.J.H. (2002). Activity in older adults: Cause or consequence of cognitive functioning? A longitudinal study on everyday activities and cognitive performance in older adults. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 57(B), 153–162.CrossRefGoogle Scholar
Benedict, R.H., Schretlen, D., Goninger, L., & Brandt, J. (1998). Hopkins Verbal Learning Test-Revised: Normative data and analysis of inter-form and test–retest reliability. Clinical Neuropsychology, 12, 43–55.CrossRefGoogle Scholar
Borenstein, A.M. (2004). The epidemiology of dementia. In L.M. Nelson, S. Van Den Eeden, & C. Tanner (Eds.), Neuroepidemiology: From principles to practice (pp. 102–130). New York: Oxford University Press.
Bosma, H., van Boxtel, M.P., Ponds, R.W., Jelicic, M., Houx, P., Metsemakers, J., & Jolles, J. (2002). Engaged lifestyle and cognitive function in middle and old-aged, non-demented persons: A reciprocal association? Zeitschrift fur Gerontologie und Geriatrie, 35, 575–581.Google Scholar
Bukov, A., Maas, I., & Lampert, T. (2002). Social participation in very old age: Cross-sectional and longitudinal findings from BASE. Journal of Gerontology: Psychological Sciences, 57B, P510–P517.Google Scholar
Clark, L.A. & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 17, 309–319.CrossRefGoogle Scholar
DeMaris, A. (2002). Explained variance in logistic regression: A Monte Carlo study of proposed measures. Sociological Methods & Research, 31, 27–74.CrossRefGoogle Scholar
Folstein, M.F., Folstein, S.E., & 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, 189–198.CrossRefGoogle Scholar
Golden, C.J. (1978). Stroop color and word test. Chicago, Illinois: Stoelting.
Hultsch, D.F., Hertzog, C., Small, B.J., & Dixon, R.A. (1999). Use it or lose it: Engaged lifestyle as a buffer of cognitive decline in aging? Psychology and Aging, 14, 245–263.Google Scholar
Menec, V.H. (2003). The relation between everyday activities and successful aging: A 6-year longitudinal study. Journals of Gerontology: Series B. Psychological Sciences and Social Sciences, 58, S74–82.Google Scholar
Morey, L.C. (1991). Personality assessment inventory. Odessa, Florida: Psychological Assessment Resources.
Pushkar, D., Etezadi, J., Andres, D., Arbuckle, T., Schwartzman, A.E., & Chaikelson, J. (1999). Models of intelligence in late life: Comment on Hultsch et al. (1999). Psychology and Aging, 14, 520–527.CrossRefGoogle Scholar
Rabbitt, P., Donlan, C., Watson, P., McInnes, L., & Bent, N. (1995). Unique and interactive effects of depression, age, socioeconomic advantage, and gender on cognitive performance of normal healthy older people. Psychology and Aging, 10, 307–313.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
Restak, R.M. (1997). Older and wiser: How to maintain peak mental ability for as long as you live. New York: Simon & Schuster.
Richards, M., Hardy, R., & Wadsworth, M.E. (2003). Does active leisure protect cognition? Social Science and Medicine, 56, 785–792.Google Scholar
Rowe, J.W. & Kahn, R.L. (1998). Successful aging. New York: Pantheon Books.
Salthouse, T.A., Berish, D.E., & Miles, J.D. (2002). The role of cognitive stimulation on the relations between age and cognitive functioning. Psychology and Aging, 17, 548–557.CrossRefGoogle Scholar
Schooler, S. & Mulatu, M.S. (2001). The reciprocal effects of leisure time activities and intellectual functioning in older people: A longitudinal analysis. Psychology and Aging, 16, 466–482.CrossRefGoogle Scholar
Small, B.J., Graves, A.B., McEvoy, C.L., Crawford, F.C., Mullan, M., & Mortimer, J.A. (2000). Is apolipoprotein E a risk factor for cognitive impairment in normal aging? Evidence from a population-based sample of older adults. Neurology, 54, 2082–2088.CrossRefGoogle Scholar
Teng, E.L. & Chui, H.C. (1987). The modified mini-mental state (3MS) examination. Journal of Clinical Psychiatry, 48, 314–318.Google Scholar
Wilson, R.S., Barnes, L.L., & Bennett, D.A. (2003). Assessment of lifetime participation in cognitively stimulating activities. Journal of Clinical and Experimental Neuropsychology, 25, 634–642.CrossRefGoogle Scholar
Wilson, R.S., Bennett, D.A., Beckett, L.A., Morris, M.C., Gilley, D.W., Bienias, J.L., Scherr, P.A., & Evans, D.A. (1999). Cognitive activity in older persons from a geographically defined population. Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 54(B), 155–160.CrossRefGoogle Scholar
Wilson, R.S., Mendes de Leon, C.F., Barnes, L.L., Schneider, J.A., Bienias, J.L., Evans, D.A., & Bennett, D.A. (2002). Participation in cognitively stimulating activities and risk of incident Alzheimer disease. Journal of the American Medical Association, 287, 742–748.CrossRefGoogle Scholar
Yesavage, J.A., Brink, T.L., Rose, T.L., Lum, O., Huang, V., Adey, M.B., & Leirer, V.O. (1983). Development and validation of a geriatric depression screening scale: A preliminary report. Journal of Psychiatric Research, 17, 37–49.Google Scholar