A longitudinal study of differences in late- and early-onset geriatric depression: Depressive symptoms and psychosocial, cognitive, and neurological functioning

Objectives: Studies suggest early-onset depression (EOD) is associated with a more severe course of the depressive disorder, while late-onset depression (LOD) is associated with more cognitive and neuroimaging changes. This study examined if older adults with EOD, compared with those with LOD, would exhibit more severe symptoms of depression and, consistent with the glucocorticoid cascade hypothesis, have more hippocampal volume loss. A second goal was to determine if LOD, compared with EOD, would demonstrate more cognitive and neuroimaging changes. Method: At regular intervals over a four-year period non-demented, older, depressed adults were assessed on the Mini-Mental Status Examination and the Montgomery–Asberg Depression Rating Scale. They were also assessed on magnetic resonance imaging. Results: Compared with LOD, EOD had more depressive symptoms, more suicidal thoughts, and less social support. Growth curve analyses indicated that EOD demonstrated higher levels of residual depressive symptoms over time. The LOD group exhibited a greater decrement in cognitive scores. Contrary to the glucocorticoid cascade hypothesis, participants with EOD lost right hippocampal volume at a slower rate than did participants with LOD. Right cerebrum gray matter was initially smaller among participants with LOD. Conclusions: EOD is associated with greater severity of depressive illness. LOD is associated with more severe cognitive and neurological changes. These differences are relevant to understanding cognitive impairment in geriatric depression.

[1]  R. Chao,et al.  DSM‐IV‐TR: Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[2]  P. Crane,et al.  Temporal relationship between depression and dementia: findings from a large community-based 15-year follow-up study. , 2011, Archives of general psychiatry.

[3]  Hannie C. Comijs,et al.  Depression, Hypothalamic Pituitary Adrenal Axis, and Hippocampal and Entorhinal Cortex Volumes—The SMART Medea Study , 2011, Biological Psychiatry.

[4]  M. Marmot,et al.  Persistent depressive symptoms and cognitive function in late midlife: the Whitehall II study. , 2010, The Journal of clinical psychiatry.

[5]  R. Allegri,et al.  Late- versus early-onset geriatric depression in a memory research center , 2009, Neuropsychiatric disease and treatment.

[6]  D. Steffens,et al.  Outcomes of Older Cognitively Impaired Individuals With Current and Past Depression in the NCODE Study , 2009, Journal of geriatric psychiatry and neurology.

[7]  Bruce Fischl,et al.  Regional white matter volume differences in nondemented aging and Alzheimer's disease , 2009, NeuroImage.

[8]  A. Thompson Younger onset of depression is associated with greater suicidal intent , 2008, Social Psychiatry and Psychiatric Epidemiology.

[9]  Liberty S. Hamilton,et al.  Hippocampal morphology and distinguishing late-onset from early-onset elderly depression. , 2008, The American journal of psychiatry.

[10]  K. Kobak,et al.  Development and reliability of a structured interview guide for the Montgomery-Åsberg Depression Rating Scale (SIGMA) , 2008, British Journal of Psychiatry.

[11]  M. Fava,et al.  Effect of age at onset on the course of major depressive disorder. , 2007, The American journal of psychiatry.

[12]  Klaus P. Ebmeier,et al.  White matter hyperintensities in late life depression: a systematic review , 2007, Journal of Neurology, Neurosurgery, and Psychiatry.

[13]  K. Krishnan,et al.  Widespread effects of hyperintense lesions on cerebral white matter structure. , 2007, AJR. American journal of roentgenology.

[14]  Warren D Taylor,et al.  Orbitofrontal cortex volume in late life depression: influence of hyperintense lesions and genetic polymorphisms , 2007, Psychological Medicine.

[15]  R. Kahn,et al.  Hippocampal volume and subcortical white matter lesions in late life depression: comparison of early and late onset depression , 2007, Journal of Neurology, Neurosurgery & Psychiatry.

[16]  G. Alexopoulos The Vascular Depression Hypothesis: 10 Years Later , 2006, Biological Psychiatry.

[17]  J. Potash,et al.  Familial Aggregation of Illness Chronicity in Recurrent, Early-Onset Major Depression Pedigrees , 2006 .

[18]  Po See Chen,et al.  White matter and subcortical gray matter lesion volume changes and late-life depression outcome: a 4-year magnetic resonance imaging study , 2006, International Psychogeriatrics.

[19]  N. Dendukuri,et al.  Systematic detection and multidisciplinary care of depression in older medical inpatients: a randomized trial , 2006, Canadian Medical Association Journal.

[20]  R. Dodhia A Review of Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (3rd ed.) , 2005 .

[21]  G. Barba,et al.  Executive Deficits in Elderly Patients With Major Unipolar Depression , 2004, Journal of geriatric psychiatry and neurology.

[22]  B. Ravnkilde,et al.  Hippocampal volume and depression: a meta-analysis of MRI studies. , 2004, The American journal of psychiatry.

[23]  Robert Barber,et al.  Hippocampal volume change in depression: Late- and early-onset illness compared , 2004, British Journal of Psychiatry.

[24]  John Breitner,et al.  Prevalence and classification of mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 1. , 2003, Archives of neurology.

[25]  R. Petersen,et al.  A collaborative study of the emergence and clinical features of the major depressive syndrome of Alzheimer's disease. , 2003, The American journal of psychiatry.

[26]  R. Green,et al.  Depression as a risk factor for Alzheimer disease: the MIRAGE Study. , 2003, Archives of neurology.

[27]  Kiralee M. Hayashi,et al.  Dynamics of Gray Matter Loss in Alzheimer's Disease , 2003, The Journal of Neuroscience.

[28]  D. Steffens,et al.  A three‐factor analytic model of the MADRS in geriatric depression , 2003, International journal of geriatric psychiatry.

[29]  J. O'Brien,et al.  Cognitive Associations of Subcortical White Matter Lesions in Older People , 2002, Annals of the New York Academy of Sciences.

[30]  B. McEwen,et al.  Sex, stress and the hippocampus: allostasis, allostatic load and the aging process , 2002, Neurobiology of Aging.

[31]  D. Bennett,et al.  Depressive symptoms, cognitive decline, and risk of AD in older persons , 2002, Neurology.

[32]  S. Levine,et al.  Quantitative MRI findings and cognitive impairment among community dwelling elderly subjects , 2002, Journal of neurology, neurosurgery, and psychiatry.

[33]  R. Simons,et al.  Error-related brain activity in obsessive–compulsive undergraduates , 2002, Psychiatry Research.

[34]  J. O'Brien,et al.  Vascular basis of late-onset depressive disorder , 2002, British Journal of Psychiatry.

[35]  S. Nolen-Hoeksema,et al.  Gender Differences in Depression , 2001 .

[36]  J. Baron,et al.  In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease , 2001, NeuroImage.

[37]  K. Krishnan,et al.  Grey-matter lesions and dementia , 2000, The Lancet.

[38]  N. Sachs-Ericsson,et al.  Gender, Social Roles, and Mental Health: An Epidemiological Perspective , 2000 .

[39]  R. Sapolsky,et al.  Glucocorticoids and hippocampal atrophy in neuropsychiatric disorders. , 2000, Archives of general psychiatry.

[40]  D. Inzitari Age‐related white matter changes and cognitive impairment , 2000, Annals of neurology.

[41]  J. Markowitz,et al.  Age of onset in chronic major depression: relation to demographic and clinical variables, family history, and treatment response. , 1999, Journal of affective disorders.

[42]  Yvette I. Sheline,et al.  Depression Duration But Not Age Predicts Hippocampal Volume Loss in Medically Healthy Women with Recurrent Major Depression , 1999, The Journal of Neuroscience.

[43]  K. Yaffe,et al.  Depressive symptoms and cognitive decline in nondemented elderly women: a prospective study. , 1999, Archives of general psychiatry.

[44]  R. van Reekum,et al.  Late-life depression as a possible predictor of dementia: cross-sectional and short-term follow-up results. , 1999, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[45]  R. Kessler,et al.  Improving accuracy of major depression age‐of‐onset reports in the US National Comorbidity Survey , 1999 .

[46]  A. Convit,et al.  Cortisol levels during human aging predict hippocampal atrophy and memory deficits , 1998, Nature Neuroscience.

[47]  L. George,et al.  Religion and the Survival of 1010 Hospitalized Veterans , 1998, Journal of Religion and Health.

[48]  H. Soininen,et al.  MRI of the Hippocampus in Alzheimer’s Disease: Sensitivity, Specificity, and Analysis of the Incorrectly Classified Subjects , 1998, Neurobiology of Aging.

[49]  B. McEwen Protective and damaging effects of stress mediators. , 1998, The New England journal of medicine.

[50]  G. Alexopoulos,et al.  Clinically defined vascular depression. , 1997, The American journal of psychiatry.

[51]  R. Sapolsky Why Stress Is Bad for Your Brain , 1996, Science.

[52]  E. Gillard,et al.  MRI and neuropsychological differences in early- and late-life-onset geriatric depression , 1996, Neurology.

[53]  L. Ganzini,et al.  Misdiagnosing delirium as depression in medically ill elderly patients. , 1995, Archives of internal medicine.

[54]  C. Bell DSM-IV: Diagnostic and Statistical Manual of Mental Disorders , 1994 .

[55]  R. Kessler,et al.  Sex and depression in the National Comorbidity Survey. I: Lifetime prevalence, chronicity and recurrence. , 1993, Journal of affective disorders.

[56]  John B. Willett,et al.  It’s About Time: Using Discrete-Time Survival Analysis to Study Duration and the Timing of Events , 1993 .

[57]  H. Stampfer,et al.  A Comparison of Early-Onset and Late-Onset Depressive Illness in the Elderly , 1989, British Journal of Psychiatry.

[58]  D. Blazer,et al.  Alternative models of the stress buffering hypothesis , 1989, American journal of community psychology.

[59]  L. Robins,et al.  National Institute of Mental Health Diagnostic Interview Schedule. Its history, characteristics, and validity. , 1981, Archives of general psychiatry.

[60]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[61]  S. Folstein,et al.  “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician , 1975 .

[62]  D. Steffens,et al.  Change in hippocampal volume on magnetic resonance imaging and cognitive decline among older depressed and nondepressed subjects in the neurocognitive outcomes of depression in the elderly study. , 2011, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[63]  J. Potash,et al.  Familial aggregation of illness chronicity in recurrent, early-onset major depression pedigrees. , 2006, The American journal of psychiatry.

[64]  K. Wilhelm,et al.  Early onset depression: the relevance of anxiety , 2004, Social Psychiatry and Psychiatric Epidemiology.

[65]  J. Singer,et al.  Applied Longitudinal Data Analysis , 2003 .

[66]  K. Krishnan,et al.  The Duke Somatic Treatment Algorithm for Geriatric Depression (STAGED) approach. , 2002, Psychopharmacology bulletin.

[67]  H. Wagner,et al.  Hippocampal volume and incident dementia in geriatric depression. , 2002, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[68]  A. Beekman,et al.  Anxiety and depression in later life: Co-occurrence and communality of risk factors. , 2000, The American journal of psychiatry.

[69]  M C Neale,et al.  Smoking and major depression. A causal analysis. , 1993, Archives of general psychiatry.

[70]  D. Blazer,et al.  Subjective social support and depressive symptoms in major depression: separate phenomena or epiphenomena. , 1991, Journal of psychiatric research.

[71]  L. Radloff The CES-D Scale: A Self-Report Depression Scale for Research in the General Population — Source link , 2022 .