Biological and social predictors of long-term geriatric depression outcome
Open accessAbstract
OBJECTIVE: In this study, we examined 204 older depressed individuals for up to 64 months to determine factors related to depression outcome. We hypothesized that both presence of vascular brain lesions seen on baseline magnetic resonance imaging (MRI) scans and lower baseline social support measures would be related to worse depression outcome. METHOD: At study entry, all subjects were at least 59 years old, had a diagnosis of major depression, and were free of other major psychiatric illness and primary neurological illness, including dementia and stroke. Depression was diagnosed via structured interview and clinical assessment by a geriatric psychiatrist who completed a Montgomery Asberg Depression Rating Scale (MADRS) to determine severity of depression. Subjects provided self-report data on social support variables and ability to perform basic and instrumental activities of daily living (ADL, IADL). All subjects agreed to have a baseline standardized MRI brain scan. Ratings of severity of hyperintensities were determined for the periventricular white matter, deep white matter, and subcortical gray matter by two readers who decided by consensus. Treatment was provided by geropsychiatrists following clinical guidelines. Using mixed models to analyze the data, we determined the effect of a variety of demographic, social and imaging variables on the trajectory of MADRS score, the outcome variable of interest. RESULTS: MADRS scores decreased steadily over time. In a final HLM model, in which time since entry, a baseline time indicator, age, gender, education and Mini-mental State Examination score were controlled, subjective social support, instrumental ADL impairment, subcortical gray matter severity, and the interactions of time with social network and with subcortical gray matter lesions remained significantly associated with MADRS score. CONCLUSIONS: Both social and biological factors at baseline are associated with longitudinal depression severity in geriatric depression.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Greater severity of vascular pathology in frontostriatal circuits is associated with slowed treatment response.
“Greater severity of vascular pathology in these frontostriatal circuits is associated with slowed treatment response (16–18).”
From Neurocognitive Correlates of Response to Treatment in Late-Life Depression (2008) · cites this paper as [18]
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
A new depression scale designed to be sensitive to change
Montgomery, S. A., & Åsberg, M. (1979) · British Journal of Psychiatry · doi:10.1192/bjp.134.4.382 · Cited by 13,962 · see citing works
Robins, L. N. (1981) · Archives of General Psychiatry · doi:10.1001/archpsyc.1981.01780290015001 · Cited by 5,219 · see citing works
Depression: Perspectives from Affective Neuroscience
Davidson, R. J., Pizzagalli, D., Nitschke, J. B., & Putnam, K. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135148 · Cited by 1,138 · see citing works
MRI-defined vascular depression
(1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.4.497 · Cited by 770 · see citing works
The anatomy of mood disorders—review of structural neuroimaging studies
Soares, J. C., & Mann, J. J. (1997) · Biological Psychiatry · doi:10.1016/s0006-3223(96)00006-6 · Cited by 760 · see citing works
Social Support and the Outcome of Major Depression
George, L. K., Blazer, D. G., Hughes, D. C., & Fowler, N. (1989) · British Journal of Psychiatry · doi:10.1192/bjp.154.4.478 · Cited by 732 · see citing works
Self-citationFunctional anatomical abnormalities in limbic and prefrontal cortical structures in major depression
Drevets, W. C. (2000) · Progress in Brain Research · doi:10.1016/s0079-6123(00)26027-5 · Cited by 659 · see citing works
Clinically defined vascular depression
(1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.4.562 · Cited by 557 · see citing works
Steffens, D. C., & Krishnan, K. (1998) · Biological Psychiatry · doi:10.1016/s0006-3223(98)00084-5 · Cited by 392 · see citing works
Self-citationAlternative models of the stress buffering hypothesis
Landerman, R., George, L. K., Campbell, R. T., & Blazer, D. G. (1989) · American Journal of Community Psychology · doi:10.1007/bf00922639 · Cited by 313 · see citing works
Self-citationCerebrovascular Disease and Depression Symptoms in the Cardiovascular Health Study
Steffens, D. C., Helms, M. J., Krishnan, K., & Burke, G. L. (1999) · Stroke · doi:10.1161/01.str.30.10.2159 · Cited by 259 · see citing works
Self-citationSimpson, S., Baldwin, R., Jackson, A., & Burns, A. S. (1998) · Psychological Medicine · doi:10.1017/s003329179800693x · Cited by 250 · see citing works
O'Brien, J. T., Ames, D. J., Chiu, E., Schweitzer, I., Desmond, P. M., & Tress, B. M. (1998) · BMJ · doi:10.1136/bmj.317.7164.982 · Cited by 226 · see citing works
Reduction of orbital frontal cortex volume in geriatric depression
Lai, T.-J., Payne, M. E., Byrum, C. E., Steffens, D. C., & Krishnan, K. R. R. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(00)01042-8 · Cited by 223 · see citing works
Self-citationThe course of depression in the elderly: a longitudinal community-based study in Australia
Henderson, A. S., Korten, A. E., Jacomb, P. A., Mackinnon, A. J., Jorm, A. F., Christensen, H. M., & Rodgers, B. (1997) · Psychological Medicine · doi:10.1017/s0033291796004199 · Cited by 215 · see citing works
Klein, D. N., Schatzberg, A. F., McCullough, J. P., Dowling, F., Goodman, D., Howland, R. H., Markowitz, J. C., Smith, C., Thase, M. E., Rush, A. J., et al. (1999) · Journal of Affective Disorders · doi:10.1016/s0165-0327(99)00020-8 · Cited by 212 · see citing works
Hickie, I. B., Scott, E. M., Wilhelm, K. A., & Brodaty, H. (1997) · Biological Psychiatry · doi:10.1016/s0006-3223(96)00363-0 · Cited by 191 · see citing works
Medial orbital frontal lesions in late-onset depression
MacFall, J. R., Payne, M. E., Provenzale, J. E., & Krishnan, K. R. R. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(00)01113-6 · Cited by 163 · see citing works
Self-citationDoes Social Support Buffer Functional Decline in Elderly Patients With Unipolar Depression?
Hays, J. C., Steffens, D. C., Flint, E. P., Bosworth, H. B., & George, L. K. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.11.1850 · Cited by 123 · see citing works
Self-citation1997 IPA/Bayer Research Awards in Psychogeriatrics
Simpson, S. W., Baldwin, R. C., Jackson, A., & Burns, A. (1997) · International Psychogeriatrics · doi:10.1017/s1041610297004432 · Cited by 115 · see citing works
Life events, social support and marital relationships in the outcome of severe depression
Paykel, E. S., Cooper, Z., Ramana, R., & Hayhurst, H. (1996) · Psychological Medicine · doi:10.1017/s0033291700033766 · Cited by 110 · see citing works
Psychiatric history and stress: Predictors of severity of unipolar depression.
Hammen, C. L., Davila, J., Brown, G. P., et al. (1992) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.101.1.45 · Cited by 104 · see citing works
DEPRESSIVE SYMPTOMS, SOCIAL NETWORKS AND SOCIAL SUPPORT OF ELDERLY WOMEN
Goldberg, E. L., Natta, P. V., & Comstock, G. W. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114017 · Cited by 101 · see citing works
Social support and treatment response in older depressed primary care patients
Oxman, T. E., & Hull, J. G. (2001) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/56.1.p35 · Cited by 95 · see citing works
Hatazawa, J., Shimosegawa, E., Satoh, T., Toyoshima, H., & Okudera, T. (1997) · Stroke · doi:10.1161/01.str.28.10.1944 · Cited by 94 · see citing works
Severity of Subcortical Gray Matter Hyperintensity Predicts ECT Response in Geriatric Depression
Steffens, D. C., Conway, C. R., Dombeck, C., Wagner, H. R., Tupler, L. A., & Weiner, R. D. (2001) · Journal of Ect · doi:10.1097/00124509-200103000-00009 · Cited by 77 · see citing works
Self-citationWallsten, S. M., Tweed, D. L., Blazer, D. G., & George, L. K. (1999) · The International Journal of Aging and Human Development · doi:10.2190/e48r-w561-v7rg-ll8d · Cited by 76 · see citing works
Self-citationTime-to-Remission From Geriatric Depression: Psychosocial and Clinical Factors
Bosworth, H. B., McQuoid, D. R., George, L. K., & Steffens, D. C. (2002) · American Journal of Geriatric Psychiatry · doi:10.1097/00019442-200209000-00008 · Cited by 74 · see citing works
Self-citationPsychosocial and physical correlates of chronic depression
Hays, J. C., Krishnan, K. R., George, L. K., Pieper, C. F., Flint, E. P., & Blazer, D. G. (1997) · Psychiatry Research · doi:10.1016/s0165-1781(97)00105-4 · Cited by 67 · see citing works
Self-citationPathophysiology of Secondary Depressions in the Elderly
Robinson, R. G., Chemerinski, E., & Jorge, R. E. (1999) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/089198879901200306 · Cited by 62 · see citing works
Depression and social support in elderly patients with cardiac disease
Krishnan, K., George, L. K., Pieper, C. F., Jiang, W., Arias, R. M., Look, A., & O’Connor, C. M. (1998) · American Heart Journal · doi:10.1016/s0002-8703(98)70225-x · Cited by 58 · see citing works
Self-citationFamily coping and bereavement outcome
Kissane, D. W., Bloch, S., & McKenzie, D. P. (1997) · Palliative Medicine · doi:10.1177/026921639701100303 · Cited by 57 · see citing works
The 3-year course and outcome of patients with major depression and silent cerebral infarction
Yanai, I., Fujikawa, T., Horiguchi, J., Yamawaki, S., & Touhouda, Y. (1998) · Journal of Affective Disorders · doi:10.1016/s0165-0327(97)00148-1 · Cited by 49 · see citing works
The Prognosis of Depression in Old Age
Kivelä, S., & Pahkala, K. (1989) · International Psychogeriatrics · doi:10.1017/s104161028900013x · Cited by 42 · see citing works
The impact of an uncaring partner on improvement in non-melancholic depression
Hickie, I. B., & Parker, G. B. (1992) · Journal of Affective Disorders · doi:10.1016/0165-0327(92)90077-j · Cited by 35 · see citing works
Magnetic‐resonance morphometry: Image‐analysis methodology development for affective disorder
Krishnan, K., Boyko, O. B., McDonald, W. M., Charles, H. C., MacFall, J. R., Tupler, L. A., & Upchurch, L. (1993) · Depression · doi:10.1002/depr.3050010308 · Cited by 31 · see citing works
Self-citationPsychosocial Factors and Depressive Symptoms
NEIL, M. K. O., Lancee, W. J., & Freeman, S. J. J. (1986) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-198601000-00003 · Cited by 22 · see citing works
Bupropion SR in the naturalistic treatment of elderly patients with major depression
Steffens, D. C., Doraiswamy, P. M., & McQuoid, D. R. (2001) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.424 · Cited by 21 · see citing works
Self-citationPsychosocial Stressors in Patients With Major Depression and Silent Cerebral Infarction
Fujikawa, T., Yanai, I., & Yamawaki, S. (1997) · Stroke · doi:10.1161/01.str.28.6.1123 · Cited by 17 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Wang, J., Mann, F., Lloyd-Evans, B., Ma, R., & Johnson, S. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1736-5 · Cited by 1,494 · see citing works
Alexopoulos, G. S., Raue, P. J., Kiosses, D. N., Mackin, R. S., Kanellopoulos, D., McCulloch, C., & Areán, P. A. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.177 · Cited by 199 · see citing works
Social support and suicidal ideation in older adults using home healthcare services
Rowe, J. L., Conwell, Y., Schulberg, H. C., & Bruce, M. L. (2006) · The American Journal of Geriatric Psychiatry · doi:10.1097/01.jgp.0000218324.78202.25 · Cited by 153 · see citing works
Neurocognitive Correlates of Response to Treatment in Late-Life Depression
Story, T. J., Potter, G. G., Attix, D. K., Welsh-Bohmer, K. A., & Steffens, D. C. (2008) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31817e739a · Cited by 117 · see citing works
Self-citation
- Authors
- Steffens, D. C., Pieper, C. F., Bosworth, H. B., MacFall, J. R., Provenzale, J. M., Payne, M. E., Carroll, B. J., George, L. K., & Krishnan, K. R. R.
- Affiliations
- Duke University (US)
- ORCID
- Venue
- International Psychogeriatrics
- Publisher
- Elsevier BV
- Published
- 2005-03
- Volume
- 17
- Issue
- 1
- Pages
- 41-56
- ISSN
- 1041-6102 (ISSN-L)
- OpenAlex
- W2149609356
- Cited by
- 62
- References
- 41
- Citations by year
- 2026: 2 · 2025: 2 · 2020: 1 · 2019: 3 · 2018: 4 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 3 · 2013: 6 · 2012: 3
- FWCI
- 6.96
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Psychogeriatrics (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (P50MH60451, P50MH060451)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Clinical Psychology › Health and Well-being Studies
- Keywords
- geriatric depression, depression outcomes, social support, vascular brain lesions, white matter hyperintensities, activities of daily living, instrumental activities of daily living, social networks, predictors of treatment response
- MeSH terms
- Aged, Aged, 80 and over, Antidepressive Agents, Brain, Cerebrovascular Circulation, Cognition Disorders, Major Depressive Disorder, Electroconvulsive Therapy, Female, Follow-Up Studies, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Prospective Studies, Cohort Studies, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review