Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-23T04:55:50.179Z Has data issue: false hasContentIssue false
  • English
  • Français

Cognitive and neuroimaging predictors of instrumental activities of daily living

Published online by Cambridge University Press:  18 May 2007

DEBORAH A. CAHN-WEINER ,
SARAH TOMASZEWSKI FARIAS ,
LAURA JULIAN ,
DANIELLE J. HARVEY ,
JOEL H. KRAMER ,
BRUCE R. REED ,
DAN MUNGAS ,
MARGARET WETZEL  and
HELENA CHUI
DEBORAH A. CAHN-WEINER
Affiliation:
Department of Neurology, University of California, San Francisco, California
SARAH TOMASZEWSKI FARIAS
Affiliation:
Department of Neurology, School of Medicine, University of California, Davis, California
LAURA JULIAN
Affiliation:
Department of Medicine, University of California, San Francisco, California
DANIELLE J. HARVEY
Affiliation:
Division of Biostatistics, School of Medicine, University of California, Davis, California
JOEL H. KRAMER
Affiliation:
Department of Neurology, University of California, San Francisco, California
BRUCE R. REED
Affiliation:
Department of Neurology, School of Medicine, University of California, Davis, California Veterans Administration Northern California Health Care System, Davis, California
DAN MUNGAS
Affiliation:
Department of Neurology, School of Medicine, University of California, Davis, California
MARGARET WETZEL
Affiliation:
Department of Neurology, University of California, San Francisco, California
HELENA CHUI
Affiliation:
Department of Neurology, School of Medicine, University of Southern California, Los Angeles, California
Get access Rights & Permissions [Opens in a new window]

Abstract

Impaired ability to conduct daily activities is a diagnostic criterion for dementia and a determinant of healthcare services utilization and caregiver burden. What predicts decline in instrumental activities of daily living (IADLs) is not well understood. This study examined measures of episodic memory, executive function, and MRI brain volumes in relation to baseline IADLs and as predictors of rate of IADL change. Participants were 124 elderly persons with cognitive function between normal and moderate dementia both with and without significant small vessel cerebrovascular disease. Random effects modeling showed that baseline memory and executive function (EXEC) were associated with baseline IADL scores, but only EXEC was independently associated with rate of change in IADLs. Whereas hippocampal and cortical gray matter volumes were significantly associated with baseline IADL scores, only hippocampal volume was associated with IADL change. In a model including cognitive and neuroimaging predictors, only EXEC independently predicted rate of decline in IADL scores. These findings indicate that greater executive dysfunction at initial assessment is associated with more rapid decline in IADLs. Perhaps executive function is particularly important with respect to maintaining IADLs. Alternatively, executive dysfunction may be a sentinel event indicating widespread cortical involvement and poor prognosis. (JINS, 2007, 13, 747–757.)

Keywords

Alzheimer's diseaseVascular dementiaMemoryEveryday functionNeuroimagingFrontal lobe
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 13 , Issue 5 , September 2007 , pp. 747 - 757
Copyright
2007 The International Neuropsychological Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Alexopoulos, P., Grimmer, T., Perneczky, R., Domes, G., & Kurz, A. (2006). Progression to dementia in clinical subtypes of mild cognitive impairment. Dementia and Geriatric Cognitive Disorders, 22, 27–34.Google Scholar
Barberger-Gateau, P. & Fabrigoule, C. (1997). Disability and cognitive impairment in the elderly. Disability and Rehabilitation, 19, 175–193.Google Scholar
Barker, W.W., Luis, C.A., Kashuba, A., Luis, M., Harwood, D.G., Loewenstein, D., Waters, C., Jimison, P., Shepherd, E., Sevush, S., Graff-Radford, N., Newland, D., Todd, M., Miller, B., Gold, M., Heilman, K., Doty, L., Goodman, I., Robinson, B., Pearl, G., Dickson, D., & Duara, R. (2002). Relative frequencies of Alzheimer disease, Lewy body, vascular and frontotemporal dementia, and hippocampal sclerosis in the State of Florida Brain Bank. Alzheimer's Disease and Associated Disorders, 16, 203–212.Google Scholar
Bell-McGinty, S., Podell, K., Franzen, M., Baird, A.D., & Williams, M.J. (2002). Standard measures of executive function in predicting instrumental activities of daily living in older adults. International Journal of Geriatric Psychiatry, 17, 828–834.Google Scholar
Bennett, H.P., Corbett, A.J., Gaden, S., Grayson, D.A., Kril, J.J., & Broe, G.A. (2002). Subcortical vascular disease and functional decline: A 6-year predictor study. Journal of the American Geriatric Society, 50, 1969–1977.Google Scholar
Benton, A.L. & Hamsher, K.D. (1976). Multilingual Aphasia Examination. Iowa City, IA: University of Iowa.
Blessed, G., Tomlinson, B.E., & Roth, M. (1968). The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects. British Journal of Psychiatry, 114, 797–811.Google Scholar
Blessed, G., Tomlinson, B.E., & Roth, M. (1988). Blessed-Roth Dementia Scale (DS). Psychopharmacology Bulletin, 24, 705–708.Google Scholar
Boyle, P.A., Cohen, R.A., Paul, R., Moser, D., & Gordon, N. (2002). Cognitive and motor impairments predict functional declines in patients with vascular dementia. International Journal of Geriatric Psychiatry, 17, 164–169.Google Scholar
Boyle, P.A., Paul, R.H., Moser, D.J., & Cohen, R.A. (2004). Executive impairments predict functional declines in vascular dementia. The Clinical Neuropsychologist, 18, 75–82.Google Scholar
Braak, H. & Braak, E. (1991). Neuropathological staging of Alzheimer-related changes. Acta Neuropathologica, 82, 239–259.Google Scholar
Cahn, D.A., Malloy, P.F., Salloway, S., Rogg, J., Gillard, E., Kohn, R., Tung, G., Richardson, E.D., & Westlake, R. (1996). Subcortical hyperintensities on MRI and activities of daily living in geriatric depression. Journal of Neuropsychiatry and Clinical Neurosciences, 8, 404–411.Google Scholar
Cahn, D.A., Sullivan, E.V., Shear, P.K., Pfefferbaum, A., Heit, G., & Silverberg, G. (1998). Differential contributions of cognitive and motor component processes to physical and instrumental activities of daily living in Parkinson's disease. Archives of Clinical Neuropsychology, 13, 575–583.Google Scholar
Cahn-Weiner, D.A., Boyle, P.A., & Malloy, P.F. (2002). Tests of executive function predict instrumental activities of daily living in community-dwelling older individuals. Applied Neuropsychology, 9, 187–191.Google Scholar
Christensen, G.E., Joshi, S.C., & Miller, M.I. (1997). Volumetric transformation of brain anatomy. IEEE Trans Med Imaging, 16, 864–877.Google Scholar
Chui, H.C., Victoroff, J.I., Margolin, D., Jagust, W., Shankle, R., & Katzman, R. (1992). Criteria for the diagnosis of ischemic vascular dementia proposed by the State of California Alzheimer's Disease Diagnostic and Treatment Centers. Neurology, 42, 473–480.Google Scholar
Cummings, J.L. (1993). Frontal-subcortical circuits and human behavior. Archives of Neurology, 50, 873–880.Google Scholar
DeCarli, C., Mungas, D., Harvey, D., Reed, B., Weiner, M., Chui, H., & Jagust, W. (2004). Memory impairment, but not cerebrovascular disease, predicts progression of MCI to dementia. Neurology, 63, 220–227.Google Scholar
Farias, S.T., Mungas, D., Reed, B., Haan, M.N., & Jagust, W.J. (2004). Everyday functioning in relation to cognitive functioning and neuroimaging in community-dwelling Hispanic and non-Hispanic older adults. Journal of the International Neuropsychological Society, 10, 342–354.Google Scholar
Fein, G., Di Sclafani, V., Tanabe, J., Cardenas, V., Weiner, M.W., Jagust, W.J., Reed, B.R., Norman, D., Schuff, N., Kusdra, L., Greenfield, T., & Chui, H. (2000). Hippocampal and cortical atrophy predict dementia in subcortical ischemic vascular disease. Neurology, 55, 1626–1635.Google Scholar
Feldman, H., Sauter, A., Donald, A., Gelinas, I., Gauthier, S., Torfs, K., Parys, W., & Mehnert, A. (2001). The Disability Assessment for Dementia Scale: A 12-month study of functional ability in mild to moderate severity Alzheimer disease. Alzheimer Disease and Associated Disorders, 15, 89–95.Google Scholar
Goldstein, G., McCue, M., Rogers, J., & Nussbaum, P.D. (1992). Diagnostic differences in memory test based predictions of functional capacity in the elderly. Neuropsychological Rehabilitation, 2, 307–317.Google Scholar
Golomb, J., Kluger, A., de Leon, M.J., Ferris, S.H., Convit, A., Mittelman, M.S., Cohen, J., Rusinek, H., De Santi, S., & George, A.E. (1994). Hippocampal formation size in normal human aging: A correlate of delayed secondary memory performance. Learning and Memory, 1, 45–54.Google Scholar
Griffith, H.R., Belue, K., Sicola, A., Krzywanski, S., Zamrini, E., Harrell, L., & Marson, D.C. (2003). Impaired financial abilities in mild cognitive impairment: A direct assessment approach. Neurology, 60, 449–457.Google Scholar
Grundman, M., Jack, C.R., Jr., Petersen, R.C., Kim, H.T., Taylor, C., Datvian, M., Weiner, M.F., DeCarli, C., DeKosky, S.T., van Dyck, C., Darvesh, S., Yaffe, K., Kaye, J., Ferris, S.H., Thomas, R.G., & Thal, L.J. (2003). Hippocampal volume is associated with memory but not nonmemory cognitive performance in patients with mild cognitive impairment. Journal of Molecular Neuroscience, 20, 241–248.Google Scholar
Hope, T., Keene, J., Gedling, K., Fairburn, C.G., & Jacoby, R. (1998). Predictors of institutionalization for people with dementia living at home with a carer. International Journal of Geriatric Psychiatry, 13, 682–690.Google Scholar
Hsu, Y.Y., Schuff, N., Amend, D.L., Du, A.T., Norman, D., Chui, H.C., Jagust, W.J., & Weiner, M.W. (2002). Quantitative magnetic resonance imaging differences between Alzheimer disease with and without subcortical lacunes. Alzheimer's Disease and Associated Disorders, 16, 58–64.Google Scholar
Hughes, C.P., Berg, L., Danziger, W.L., Coben, L.A., & Martin, R.L. (1982). A new clinical scale for the staging of dementia. The British Journal of Psychiatry, 140, 566–572.Google Scholar
Hyman, B.T., Van Hoesen, G.W., Damasio, A.R., & Barnes, C.L. (1984). Alzheimer's disease: Cell-specific pathology isolates the hippocampal formation. Science, 225, 1168–1170.Google Scholar
Korf, E.S., Wahlund, L.O., Visser, P.J., & Scheltens, P. (2004). Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment. Neurology, 63, 94–100.Google Scholar
Laird, N.M. & Ware, J.H. (1982). Random-effects models for longitudinal data. Biometrics, 38, 963–974.Google Scholar
Mattis, S. (1973). Dementia Rating Scale, Professional Manual. Odessa, FL: Psychological Assessment Resources.
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E.M. (1984). Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology, 34, 939–944.Google Scholar
Meyer, J., Xu, G., Thornby, J., Chowdhury, M., & Quach, M. (2002). Longitudinal analysis of abnormal domains comprising mild cognitive impairment (MCI) during aging. Journal of the Neurological Sciences, 201, 19–25.Google Scholar
Morris, J.C. (1993). The Clinical Dementia Rating (CDR): Current version and scoring rules. Neurology, 43, 2412–2414.Google Scholar
Mungas, D., Harvey, D., Reed, B.R., Jagust, W.J., DeCarli, C., Beckett, L., Mack, W.J., Kramer, J.H., Weiner, M.W., Schuff, N., & Chui, H.C. (2005). Longitudinal volumetric MRI change and rate of cognitive decline. Neurology, 65, 565–571.Google Scholar
Mungas, D., Jagust, W.J., Reed, B.R., Kramer, J.H., Weiner, M.W., Schuff, N., Norman, D., Mack, W.J., Willis, L., & Chui, H.C. (2001). MRI predictors of cognition in subcortical ischemic vascular disease and Alzheimer's disease. Neurology, 57, 2229–2235.Google Scholar
Mungas, D., Reed, B.R., & Kramer, J.H. (2003). Psychometrically matched measures of global cognition, memory, and executive function for assessment of cognitive decline in older persons. Neuropsychology, 17, 380–392.Google Scholar
Reed, B.R., Eberling, J.L., Mungas, D., Weiner, M., & Jagust, W.J. (2001). Frontal lobe hypometabolism predicts cognitive decline in patients with lacunar infarcts. Archives of Neurology, 58, 493–497.Google Scholar
Reed, B.R., Eberling, J.L., Mungas, D., Weiner, M., Kramer, J.H., & Jagust, W.J. (2004). Effects of white matter lesions and lacunes on cortical function. Archives of Neurology, 61, 1545–1550.Google Scholar
Reed, B.R., Eberling, J.L., Mungas, D., Weiner, M.W., & Jagust, W.J. (2000). Memory failure has different mechanisms in subcortical stroke and Alzheimer's disease. Annals of Neurology, 48, 275–284.Google Scholar
Reed, B.R., Jagust, W.J., & Seab, J.P. (1989). Mental status as a predictor of daily function in progressive dementia. The Gerontologist, 29, 804–807.Google Scholar
Richardson, E.D., Nadler, J.D., & Malloy, P.F. (1995). Neuropsychologic prediction of performance measures of daily living skills in geriatric patients. Neuropsychology, 9, 565–572.Google Scholar
Ritchie, K., Artero, S., & Touchon, J. (2001). Classification criteria for mild cognitive impairment: A population-based validation study. Neurology, 56, 37–42.Google Scholar
Royall, D.R. (2006). Mild cognitive impairment and functional status. Journal of the American Geriatric Society, 54, 163–165.Google Scholar
Royall, D.R., Palmer, R., Chiodo, L.K., & Polk, M.J. (2004). Declining executive control in normal aging predicts change in functional status: The Freedom House Study. Journal of the American Geriatric Society, 52, 346–352.Google Scholar
Royall, D.R., Palmer, R., Chiodo, L.K., & 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.Google Scholar
Schmeidler, J., Mohs, R.C., & Aryan, M. (1998). Relationship of disease severity to decline on specific cognitive and functional measures in Alzheimer disease. Alzheimers Disease and Associated Disorders, 12, 146–151.Google Scholar
Severson, M.A., Smith, G.E., Tangalos, E.G., Petersen, R.C., Kokmen, E., Ivnik, R.J., Atkinson, E.J., & Kurland, L.T. (1994). Patterns and predictors of institutionalization in community-based dementia patients. Journal of the American Geriatric Society, 42, 181–185.Google Scholar
Skurla, E., Rogers, J.C., & Sunderland, T. (1988). Direct assessment of activities of daily living in Alzheimer's disease. A controlled study. Journal of the American Geriatric Society, 36, 97–103.Google Scholar
Stern, Y., Hesdorffer, D., Sano, M., & Mayeux, R. (1990). Measurement and prediction of functional capacity in Alzheimer's disease. Neurology, 40, 8–14.Google Scholar
Tomlinson, B.E. (1977). Morphological changes and dementia in old age. In W.L. Smith & M. Kinsbourne (Eds.), Aging and Dementia (pp. 25–56). Holliswood, NY: Spectrum.
Vetter, P.H., Krauss, S., Steiner, O., Kropp, P., Moller, W.D., Moises, H.W., & Koller, O. (1999). Vascular dementia versus dementia of Alzheimer's type: Do they have differential effects on caregivers' burden? Journals of Gerontology (B), 54, S93–98.Google Scholar
Visser, P.J., Scheltens, P., Verhey, F.R., Schmand, B., Launer, L.J., Jolles, J., & Jonker, C. (1999). Medial temporal lobe atrophy and memory dysfunction as predictors for dementia in subjects with mild cognitive impairment. Journal of Neurology, 246, 477–485.Google Scholar
Wechsler, D. (1987). Wechsler Memory Scale–Revised (WMS-R). San Antonio, TX: Psychological Corporation.
Welsh, K.A., Butters, N., Hughes, J.P., Mohs, R.C., & Heyman, A. (1992). Detection and staging of dementia in Alzheimer's disease. Use of the neuropsychological measures developed for the Consortium to Establish a Registry for Alzheimer's Disease. Archives of Neurology, 49, 448–452.Google Scholar
White, L., Small, B.J., Petrovitch, H., Ross, G.W., Masaki, K., Abbott, R.D., Hardman, J., Davis, D., Nelson, J., & Markesbery, W. (2005). Recent clinical-pathologic research on the causes of dementia in late life: Update from the Honolulu-Asia Aging Study. Journal of Geriatric Psychiatry and Neurology, 18, 224–227.Google Scholar
Williams, J.M. (1991). Memory Assessment Scales. Odessa, FL: Psychological Assessment Resources.