Skip to main content Accessibility help
×
Home
Hostname: page-component-ffbbcc459-l9rg9 Total loading time: 0.359 Render date: 2022-03-08T21:25:12.685Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "useRatesEcommerce": false, "useNewApi": true }

Vascular lesions and functional limitations among older adults: does depression make a difference?

Published online by Cambridge University Press:  09 May 2014

Celia F. Hybels*
Affiliation:
Department of Psychiatry and Behavioral Sciences, Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
Carl F. Pieper
Affiliation:
Department of Biostatistics and Bioinformatics, Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
Lawrence R. Landerman
Affiliation:
Department of Medicine, Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
Martha E. Payne
Affiliation:
Department of Psychiatry and Behavioral Sciences, Neuropsychiatric Imaging Research Laboratory, Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
David C. Steffens
Affiliation:
Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA
*
Correspondence should be addressed to: Dr. Celia F. Hybels, Associate Professor, Department of Psychiatry and Behavioral Sciences, Center for the Study of Aging and Human Development, Duke University Medical Center, Box 3003, Durham, 27710 NC. Phone: +(919) 660-7546; Fax: +(919) 668-0453. Email: celia.hybels@duke.edu.

Abstract

Background:

The association between disability and depression is complex, with disability well established as a correlate and consequence of late life depression. Studies in community samples report that greater volumes of cerebral white matter hyperintensities (WMHs) seen on brain imaging are linked with functional impairment. These vascular changes are also associated with late life depression, but it is not known if depression is a modifier in the relationship between cerebrovascular changes and functional impairment.

Methods:

The study sample was 237 older adults diagnosed with major depression and 140 never depressed comparison adults, with both groups assessed at study enrollment. The dependent variable was the number of limitations in basic activities of daily living (ADL), instrumental ADLs, and mobility tasks. The independent variable was the total volume of cerebral white matter lesions or hyperintensities assessed though magnetic resonance imaging.

Results:

In analyses controlling for age, sex, race, high blood pressure, and cognitive status, a greater volume of WMH was positively associated with the total number of functional limitations as well as the number of mobility limitations among those older adults with late life depression but not among those never depressed, suggesting the association between WMH volume and functional status differs in the presence of late life depression.

Conclusions:

These findings suggest older patients with both depression and vascular risk factors may be at an increased risk for functional decline, and may benefit from management of both cerebrovascular risk factors and depression.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2014 

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

Alexopoulos, G. S. et al. (1996). Disability in geriatric depression. American Journal of Psychiatry, 153, 877885.Google ScholarPubMed
Alexopoulos, G., Meyers, B., Young, R., Campbell, S., Silbersweig, D. and Charlson, M. (1997). ‘Vascular depression’ hypothesis. Archives of General Psychiatry, 54, 915922.CrossRefGoogle ScholarPubMed
Baezner, H. et al. (2008). Association of gait and balance disorders with age-related white matter changes: the LADIS Study. Neurology, 70, 935942.CrossRefGoogle ScholarPubMed
Blahak, C. et al. (2009). Deep frontal and periventricular age related white matter changes but not basal ganglia and infratentorial hyperintensities are associated with falls: cross-sectional results from the LADIS study. Journal of Neurology, Neurosurgery, and Psychiatry, 80, 608613.CrossRefGoogle Scholar
Blazer, D. and Hughes, D. (1991). Subjective social support and depressive symptoms in major depression: separate phenomena or epiphenomena. Journal of Psychiatric Research, 25, 191203.CrossRefGoogle ScholarPubMed
Bruce, M. L. (2001). Depression and disability in late life: Directions for future research. American Journal of Geriatric Psychiatry, 9, 102112.CrossRefGoogle ScholarPubMed
Efron, B. and Tibshirani, R. (1994). An Introduction to the Bootstrap: CRC Monographs on Statistics and Applied Probability 57. Boca Raton: Chapman and Hall.Google Scholar
Fillenbaum, G. G. (1988). Multidimensional Functional Assessment of Older Adults: The Duke Older Americans Resources and Services Procedures. Hillsdale, NJ: Erlbaum.Google Scholar
Folstein, M. F., Folstein, S. E. and McHugh, P. (1975). Mini-mental state: a practical method for grading the cognitive state of patients for clinicians. Journal of Psychiatric Research, 12, 189198.CrossRefGoogle Scholar
Hannestad, J. et al. (2006). White matter lesion volumes and caudate volumes in late-life depression. International Journal of Geriatric Psychiatry, 21, 11931198.CrossRefGoogle ScholarPubMed
Inzatari, D. et al. (2007). Risk of rapid global functional decline in elderly patients with severe cerebral age-related white matter changes. Archives of Internal Medicine, 167, 8188.CrossRefGoogle Scholar
Katz, I. R. (2004). Depression and frailty: the need for multidisciplinary research. American Journal of Geriatric Psychiatry, 12, 15.CrossRefGoogle ScholarPubMed
Katz, S., Downs, T. D., Cash, H. R. and Grotz, R. C. (1970). Progress in development of the index of ADL. The Gerontologist, 10, 2030.CrossRefGoogle ScholarPubMed
Krishnan, K. R. R., Hays, J. C. and Blazer, D. G. (1997). MRI-defined vascular depression. American Journal of Psychiatry, 154, 497501.Google ScholarPubMed
Masdeu, J. C. and Wolfson, L. (2009). White matter lesions predispose to falls in older people. Stroke, 40, e546.CrossRefGoogle ScholarPubMed
Pantoni, L. et al. (2006). Leukoaraiosis predicts hidden global functioning impairment in nondisabled older people: the LADIS (Leukoaraiosis and Disability in the Elderly) Study. Journal of the American Geriatrics Society, 2006, 10951101.CrossRefGoogle Scholar
Payne, M., Fetzer, D., MacFall, J., Provenzale, J., Byrum, C. and Krishnan, K. (2002). Development of a semi-automatic method for quantification of MRI gray and white matter lesions in geriatric subjects. Psychiatry Research Neuroimaging, 115, 6377.CrossRefGoogle Scholar
Radloff, L. S. (1977). The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385401.CrossRefGoogle Scholar
Robins, L. N., Helzer, J. E., Croughan, J. and Ratcliff, K. (1981). National Institute of Mental Health Diagnostic Interview Schedule: its history, characteristics, and validity. Archives of General Psychiatry, 38, 381389.CrossRefGoogle ScholarPubMed
Rosano, C., Kuller, L. H., Chung, H., Arnold, A. M., Longstreth, W. T. and Newman, A. B. (2005). Subclinical brain magnetic resonance imaging abnormalities predict physical functional decline in high-functioning older adults. Journal of the American Geriatrics Society, 53, 649654.CrossRefGoogle ScholarPubMed
Rosow, I. and Breslau, N. (1966). A Guttman health scale for the aged. Journal of Gerontology, 21, 556559.CrossRefGoogle ScholarPubMed
Rothman, K., Greenland, S. and Lash, T. (2008). Modern Epidemiology. Philadephia: Wolters Kluwer Health/Lippincott Williams and Wilkins.Google Scholar
Srikanth, V. et al. (2009). Cerebral white matter lesions, gait, and the risk of incident falls. Stroke, 40, 175180.CrossRefGoogle ScholarPubMed
Steffens, D. C. and Krishnan, K. R. R. (1998). Structural neuroimaging and mood disorders: recent findings, implications for classification, and future directions. Social and Biological Psychiatry, 43, 705712.CrossRefGoogle ScholarPubMed
Steffens, D. C., Hays, J. C. and Krishnan, K. R. R. (1999). Disability in geriatric depression. American Journal of Geriatric Psychiatry, 7, 3440.CrossRefGoogle ScholarPubMed
Steffens, D., Bosworth, H., Provenzale, J. and MacFall, J. (2002). Subcortical white matter lesions and functional impairment in geriatric depression. Depression and Anxiety, 15, 2328.CrossRefGoogle ScholarPubMed
Steffens, D. C. et al. (2007). Longitudinal magnetic resonance imaging vascular changes, apolipoprotein E genotype, and development of dementia in the Neurocognitive Outcomes of Depression in the Elderly Study. American Journal of Geriatric Psychiatry, 15, 839849.CrossRefGoogle ScholarPubMed
Taylor, W. D. et al. (2003). White matter hyperintensity progression and late-life depression outcomes. Archives of General Psychiatry, 60, 10901096.CrossRefGoogle ScholarPubMed
Taylor, W. et al. (2005). Greater MRI lesion volumes in elderly depressed subjects than in control subjects. Psychiatry Research Neuroimaging, 139, 17.CrossRefGoogle ScholarPubMed
Thomas, A. et al. (2002). Ischemic basis for deep white matter hyperintensities in major depression. Archives of General Psychiatry, 59, 785792.CrossRefGoogle ScholarPubMed
Tupler, L., Krishnan, K., McDonald, W., Dombeck, C., D'Souza, S. and Steffens, D. (2002). Anatomic location and laterality of MRI signal hyperintensities in late-life depression. Journal of Psychosomatic Research, 53, 665676.CrossRefGoogle ScholarPubMed
VanderWeele, T. and Robins, J. (2007). Four types of effect modification: a classification based on directed acyclic graphs. Epidemiology, 18, 561568.CrossRefGoogle ScholarPubMed
Wakefield, D. B. et al. (2010). White matter hyperintensities predict functional decline in voiding, mobility, amd cognition in older adults. Journal of the American Geriatrics Society, 58, 275281.CrossRefGoogle Scholar
Zheng, J. et al. (2012a). White matter hyperintensities are an independent predictor of physical decline in community-dwelling older people. Gerontology, 58, 398406.CrossRefGoogle ScholarPubMed
Zheng, J. et al. (2012b). Brain white matter hyperintensities, executive dysfunction, instability, and falls in older people: a prospective cohort study. Journal of Gerontology: Medical Sciences, 67, 10851091.Google ScholarPubMed
6
Cited by

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Vascular lesions and functional limitations among older adults: does depression make a difference?
Available formats
×

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

Vascular lesions and functional limitations among older adults: does depression make a difference?
Available formats
×

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

Vascular lesions and functional limitations among older adults: does depression make a difference?
Available formats
×
×

Reply to: Submit a response

Please enter your response.

Your details

Please enter a valid email address.

Conflicting interests

Do you have any conflicting interests? *