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Predicting functional ability in mild cognitive impairment with the Dementia Rating Scale-2

Published online by Cambridge University Press:  23 January 2012

Melanie C. Greenaway ,
Noah L. Duncan ,
Sherrie Hanna  and
Glenn E. Smith
Melanie C. Greenaway*
Affiliation:
Emory University School of Medicine, Atlanta, Georgia, USA
Noah L. Duncan
Affiliation:
Emory University School of Medicine, Atlanta, Georgia, USA
Sherrie Hanna
Affiliation:
Mayo Clinic, Rochester, Minnesota, USA
Glenn E. Smith
Affiliation:
Mayo Clinic, Rochester, Minnesota, USA
*
Correspondence should be addressed to: Melanie C. Greenaway, PhD, Wesley Woods Health Center/Neurology, Emory University School of Medicine, 1841 Clifton Road NE, Atlanta, GA 30329, USA. Phone: +1404-728-6689; Fax: +1404-728-6685. Email: [email protected].
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Abstract

Background: We examined the utility of cognitive evaluation to predict instrumental activities of daily living (IADLs) and decisional ability in Mild Cognitive Impairment (MCI).

Methods: Sixty-seven individuals with single-domain amnestic MCI were administered the Dementia Rating Scale-2 (DRS-2) as well as the Everyday Cognition assessment form to assess functional ability.

Results: The DRS-2 Total Scores and Initiation/Perseveration and Memory subscales were found to be predictive of IADLs, with Total Scores accounting for 19% of the variance in IADL performance on average. In addition, the DRS-2 Initiation/Perseveration and Total Scores were predictive of ability to understand information, and the DRS-2 Conceptualization helped predict ability to communicate with others, both key variables in decision-making ability.

Conclusions: These findings suggest that performance on the DRS-2, and specific subscales related to executive function and memory, is significantly related to IADLs in individuals with MCI. These cognitive measures are also associated with decision-making-related abilities in MCI.

Keywords

mild cognitive impairmentcognitive abilityactivities of daily livingdecision-making ability
Type
Research Article
Information
International Psychogeriatrics , Volume 24 , Issue 6 , June 2012 , pp. 987 - 993
Copyright
Copyright © International Psychogeriatric Association 2012

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References

ABA–APA (2005). Assessment of Older Adults with Diminished Capacity: A Handbook for Psychologists. Washington, DC: American Bar Association and American Psychological Association.Google Scholar
APA (1998). Guidelines for assessing the decision-making capacities of potential research subjects with cognitive impairment. American Psychiatric Association. Am J Psychiatry, 155, 1649–1650.Google Scholar
Appelbaum, B. C., Appelbaum, P. S. and Grisso, T. (1998). Competence to consent to voluntary psychiatric hospitalization: a test of a standard proposed by American Psychiatric Association. Psychiatric Services, 49, 1193–1196.CrossRefGoogle ScholarPubMed
Bambara, J. K., Griffith, H. R., Martin, R. C., Faught, E., Wadley, V. G. and Marson, D. C. (2007). Medical decision-making abilities in older adults with chronic partial epilepsy. Epilepsy Behavior, 10, 63–68.CrossRefGoogle ScholarPubMed
Bangen, K. J. et al. (2010). Complex activities of daily living vary by mild cognitive impairment subtype. Journal of the International Neuropsychological Society, 16, 630–639.CrossRefGoogle ScholarPubMed
Boyle, P. A., Malloy, P. F., Salloway, S., Cahn-Weiner, D. A., Cohen, R. and Cummings, J. L. (2003). Executive dysfunction and apathy predict functional impairment in Alzheimer disease. American Journal of Geriatric Psychiatry, 11, 214–221.CrossRefGoogle ScholarPubMed
Cahn-Weiner, D. A. et al. (2007). Cognitive and neuroimaging predictors of instrumental activities of daily living. Journal of the International Neuropsychological Society, 13, 747–757.CrossRefGoogle ScholarPubMed
Farias, S. T., Mungas, D., Reed, B. R., Harvey, D., Cahn-Weiner, D. and Decarli, C. (2006). MCI is associated with deficits in everyday functioning. Alzheimer's Disease and Associated Disorders, 20, 217–223.CrossRefGoogle ScholarPubMed
Farias, S. T., Mungas, D., Reed, B. R., Cahn-Weiner, D., Jagust, W., Baynes, K. et al. (2008). The measurement of everyday cognition (ECog): scale development and psychometric properties. Neuropsychology, 22, 531–544.CrossRefGoogle ScholarPubMed
Fields, J. A. et al. (2010). Utility of the DRS for predicting problems in day-to-day functioning. Clinical Neuropsychologist, 24, 1167–1180.CrossRefGoogle ScholarPubMed
Fitz, A. G. and Teri, L. (1994). Depression, cognition, and functional ability in patients with Alzheimer's disease. Journal of the American Geriatrics Society, 42, 186–191.CrossRefGoogle ScholarPubMed
Greenaway, M. C., Hanna, S. M., Lepore, S. W. and Smith, G. E. (2008). A behavioral rehabilitation intervention for amnestic mild cognitive impairment. American Journal of Alzheimers Disease and Other Dementias, 23, 451–461.CrossRefGoogle ScholarPubMed
Harvey, P. D., Velligan, D. I. and Bellack, A. S. (2007). Performance-based measures of functional skills: usefulness in clinical treatment studies. Schizophrenia Bulletin, 33, 1138–1148.CrossRefGoogle ScholarPubMed
Jefferson, A. L. et al. (2008a). Characterization of activities of daily living in individuals with mild cognitive impairment. American Journal of Geriatric Psychiatry, 16, 375–383.CrossRefGoogle ScholarPubMed
Jefferson, A. L., Lambe, S., Moser, D. J., Byerly, L. K., Ozonoff, A. and Karlawish, J. H. (2008b). Decisional capacity for research participation in individuals with mild cognitive impairment. Journal of the American Geriatrics Society, 56, 1236–1243.CrossRefGoogle ScholarPubMed
Jurica, P. J. and Leitten, C. L. (2001). Dementia Rating Scale-2: Professional Manual. Lutz, FL: PAR.Google Scholar
Marson, D. C., Chatterjee, A., Ingram, K. K. and Harrell, L. E. (1996). Toward a neurologic model of competency: cognitive predictors of capacity to consent in Alzheimer's disease using three different legal standards. Neurology, 46, 666–672.CrossRefGoogle Scholar
Marson, D. C., Hawkins, L., McInturff, B. and Harrell, L. E. (1997). Cognitive models that predict physician judgments of capacity to consent in mild Alzheimer's disease. Journal of the American Geriatrics Society, 45, 458–464.CrossRefGoogle ScholarPubMed
Nadler, J. D., Richardson, E. D., Malloy, P. F., Marran, M. E. and Hosteller Brinson, M. E. (1993). The ability of the dementia rating scale to predict everyday functioning. Archives of Clinical Neuropsychology, 8, 449–460.CrossRefGoogle ScholarPubMed
Nygard, L. (2003). Instrumental activities of daily living: a stepping-stone towards Alzheimer's disease diagnosis in subjects with mild cognitive impairment? Acta Neurological Scandinavica Supplement, 179, 42–46.CrossRefGoogle ScholarPubMed
Okonkwo, O. C., Wadley, V. G., Griffith, H. R., Ball, K. and Marson, D. C. (2006). Cognitive correlates of financial abilities in mild cognitive impairment. Journal of the American Geriatrics Society, 54, 1745–1750.CrossRefGoogle ScholarPubMed
Okonkwo, O. C. et al. (2008). Cognitive models of medical decision-making capacity in patients with mild cognitive impairment. Journal of the International Neuropsychological Society, 14, 297–308.CrossRefGoogle ScholarPubMed
Petersen, R. C. (2004). Mild cognitive impairment as a diagnostic entity. Journal of Internal Medicine, 256, 183–194.CrossRefGoogle ScholarPubMed
Petersen, R. C. and Morris, J. C. (2005). Mild cognitive impairment as a clinical entity and treatment target. Archives of Neurology, 62, 1160–1163; discussion 1167.CrossRefGoogle ScholarPubMed
Royall, D. R., Chiodo, L. K. and Polk, M. J. (2004). Misclassification is likely in the assessment of mild cognitive impairment. Neuroepidemiology, 23, 185–191.CrossRefGoogle ScholarPubMed
Royall, D. R., Palmer, R., Chiodo, L. K. and Polk, M. J. (2005). Executive control mediates memory's association with change in instrumental activities of daily living: the Freedom House Study. Journal of the American Geriatric Society, 53, 11–17.CrossRefGoogle ScholarPubMed
Royall, D. R., Lauterbach, E. C., Kaufer, D., Malloy, P., Coburn, K. L. and Black, K. J. (2007). The cognitive correlates of functional status: a review from the committee on Research of the American Neuropsychiatric Association. Journal of Neuropsychiatry and Clinical Neuroscience, 19, 249–265.CrossRefGoogle Scholar
Tomaszewski Farias, S. et al. (2009). Longitudinal changes in memory and executive functioning are associated with longitudinal change in instrumental activities of daily living in older adults. Clinical Neuropsychologist, 23, 446–461.CrossRefGoogle ScholarPubMed
Tuokko, H., Morris, C. and Ebert, P. (2005). Mild cognitive impairment and everyday functioning in older adults. Neurocase, 11, 40–47.CrossRefGoogle ScholarPubMed
Weintraub, S. (1986). The record of independent living: an informant-completed measure of activities of daily living and behavior in elderly patients with cognitive impairment. American Journal of Alzheimer Care and Related Disorders, 7, 35–39.CrossRefGoogle Scholar