Your browser doesn't support javascript.
loading
Clinical correlates of resilience factors in geriatric depression.
Laird, Kelsey T; Lavretsky, Helen; Paholpak, Pattharee; Vlasova, Roza M; Roman, Michael; St Cyr, Natalie; Siddarth, Prabha.
Affiliation
  • Laird KT; Department of Psychiatry,Semel Institute for Neuroscience and Human Behavior at UCLA,Los Angeles,California,USA.
  • Lavretsky H; Department of Psychiatry,Semel Institute for Neuroscience and Human Behavior at UCLA,Los Angeles,California,USA.
  • Paholpak P; Visiting Research Scholar,Semel Institute for Neuroscience and Human Behavior,UCLA,Los Angeles,California,USA.
  • Vlasova RM; Department of Psychiatry,Semel Institute for Neuroscience and Human Behavior at UCLA,Los Angeles,California,USA.
  • Roman M; David Geffen School of Medicine at UCLA,Los Angeles,California,USA.
  • St Cyr N; Department of Psychiatry,Semel Institute for Neuroscience and Human Behavior at UCLA,Los Angeles,California,USA.
  • Siddarth P; Department of Psychiatry,Semel Institute for Neuroscience and Human Behavior at UCLA,Los Angeles,California,USA.
Int Psychogeriatr ; 31(2): 193-202, 2019 02.
Article in En | MEDLINE | ID: mdl-29335041
ABSTRACT
ABSTRACT

Background:

Traditional perspectives conceptualize resilience as a trait and depression as resulting from resilience deficiency. However, research indicates that resilience varies substantially even among adults who are clinically depressed, as well as across the lifespan of an individual. Few studies have investigated resilience in depression, and even fewer have examined resilience in depressed older adults.

METHODS:

Three hundred thirty-seven adults ≥60 years with major depressive disorder completed the Connor-Davidson Resilience Scale (CD-RISC) and measures of mental health, quality of life (QOL), and medical comorbidity. Exploratory factor analysis was used to explore the factor structure of the CD-RISC. Correlations and general linear models were used to examine associations between resilience and other variables.

RESULTS:

The rotated component matrix indicated a four-factor model. Sorting of items by highest factor loading revealed constructs associated with (1) grit, (2) active coping self-efficacy, (3) accommodative coping self-efficacy, and (4) spirituality. Resilience was significantly correlated with increased age, lower cognitive functioning, greater cerebrovascular risk, and greater medical comorbidity. Resilience was negatively associated with mental health symptoms (depression, apathy, and anxiety) and positively associated with QOL. The final optimal model identified less depression, less apathy, greater medical comorbidity, higher QOL, and minority (non-White) race as factors that significantly explained variability in resilience.

CONCLUSIONS:

Resilience was significantly associated with a range of mental health constructs in a sample of older adults with depression. Future clinical trials and dismantling studies may help determine whether interventions targeting grit, active coping, accommodative coping, and spirituality can increase resilience and help prevent and treat depression in older adults.
Subject(s)
Key words

Full text: 1 Database: MEDLINE Main subject: Quality of Life / Aging / Depressive Disorder, Major / Resilience, Psychological Type of study: Prognostic_studies / Qualitative_research Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Int Psychogeriatr Journal subject: GERIATRIA / PSIQUIATRIA Year: 2019 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Quality of Life / Aging / Depressive Disorder, Major / Resilience, Psychological Type of study: Prognostic_studies / Qualitative_research Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Int Psychogeriatr Journal subject: GERIATRIA / PSIQUIATRIA Year: 2019 Type: Article Affiliation country: United States