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Clinical correlates of resilience factors in geriatric depression.

ABSTRACT: ABSTRACTBackground: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.

SUBMITTER: Laird KT

PROVIDER: S-EPMC6047931 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Clinical correlates of resilience factors in geriatric depression.

Laird Kelsey T KT Lavretsky Helen H Paholpak Pattharee P Vlasova Roza M RM Roman Michael M St Cyr Natalie N Siddarth Prabha P

International psychogeriatrics 20180116 2

ABSTRACTBackground: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.<h4>Methods</h4>Three hundred thirty-seven adults ≥60 years with major depressiv ...[more]

PMID: 29335041

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Project description:BackgroundWith the gradual aging of the population, geriatric depression has become a major public health issue in China owing to its overall upward trend and associated negative socio-economic impact. Dearth of information regarding the burden and correlates of geriatric depression among Uyghur minority population in Xinjiang Autonomous Region, called for a comprehensive survey involving representative sample for designing efficient targeted intervention to control this disabling disease.MethodsA cross-sectional study was conducted among 1329 consenting Uyghur elderly in 2011 in six randomly selected communities/villages in Xinjiang. Information about socio-demographics, behavior, negative life-events, satisfaction regarding income/quality of life and other chronic diseases were collected while assessment of geriatric depression was done using Geriatric Mental State Schedule (GMS).ResultsAmong these participants, majority were currently married, had attended elementary school or less, had an average annual family income of less than 3000 Yuan/person, had strong religious beliefs while 10.61% (2.77% in urban and 23.60% in rural area) had geriatric depression (5.91% among male and 14.58% among females). 61.83% were suffering from other chronic diseases, 96.16% could take care of themselves and 39.28% had experienced negative events during last two years. Religious belief (AOR = 3.92, 95% CI 1.18-13.03), satisfaction regarding quality of life (AOR = 0.53, 95% CI 0.37-0.84) and income (AOR = 0.75, 95% CI 0.35-1.60), suffering from more chronic diseases (AOR = 1.70, 95% CI 1.42-2.04), experiencing three or more negative events (AOR = 1.72, 95% CI 0.92-3.22) and lack of ability to take self-care (AOR = 2.20, 95% CI 1.09-4.48) were all associated with having geriatric depression with or without adjustment for gender, education and occupation.ConclusionHigh prevalence of geriatric depression among Uyghur elderly in Xinjiang seemed to call for urgent interventions, specifically targeting rural residents, who experienced more negative life-events, were suffering from chronic diseases and were dissatisfied with their income and quality of life.

Project description:IntroductionThe 30-item Geriatric Depression Scale (GDS-30) and the shorter GDS-15, GDS-5 and GDS-4 are recommended as depression screening tools for elderly individuals. Existing meta-analyses on the diagnostic accuracy of the GDS have not been able to conduct subgroup analyses, have included patients already identified as depressed who would not be screened in practice and have not accounted for possible bias due to selective reporting of results from only better-performing cut-offs in primary studies. Individual participant data meta-analysis (IPDMA), which involves a standard systematic review, then a synthesis of individual participant data, rather than summary results, could address these limitations. The objective of our IPDMA is to generate accuracy estimates to detect major depression for all possible cut-offs of each version of the GDS among studies using different reference standards, separately and among participant subgroups based on age, sex, dementia diagnosis and care settings. In addition, we will use a modelling approach to generate individual participant probabilities for major depression based on GDS scores (rather than a dichotomous cut-off) and participant characteristics (eg, sex, age, dementia status, care setting).Methods and analysisIndividual participant data comparing GDS scores to a major depression diagnosis based on a validated structured or semistructured diagnostic interview will be sought via a systematic review. Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Bivariate random-effects models will be used to estimate diagnostic accuracy parameters for each cut-off of the different versions of the GDS. Prespecified subgroup analyses will be conducted. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool.Ethics and disseminationThe findings of this study will be of interest to stakeholders involved in research, clinical practice and policy.Prospero registration numberCRD42018104329.

Project description:BackgroundDepression is prevalent but poorly recognized in the Emergency Department (ED). We aimed to identify the frequency of unrecognized geriatric depression and its possible determinants in the ED using the 15-item geriatric depression scale (GDS). We also aimed to explore the performance of the shorter, five-item GDS as compared to the 15-item GDS.MethodsThis was a cross-sectional study of the ED patients ≥ 60 years. The previously validated Nepali version of GDS-15 screened the sample into "no", "mild-moderate" and "severe" depression using cutoff values of 4/5, and 8/9 respectively. Demographic and socioeconomic factors, comorbidities and health seeking behaviors were studied and the relation was assessed with binary (Chi-square and Kruskal-Wallis test) and multinomial regression analysis. The performance of GDS-5 was compared with the GDS-15 as standard. Cronbach's alpha was calculated to investigate reliability. Validity was assessed by calculating sensitivity, specificity, positive predictive value, negative predictive value, Spearman's correlation, receiver operating characteristic curve, and kappa coefficient.ResultsTwo hundred eighty patients were enrolled with an overall prevalence of unrecognized depression of 45.7% [104 (81.3%) mild-moderate depression, and 24 (18.8%) severe depression]. The mean age of the sample was 71.36 with female predominance (61%), and 82.5% were illiterate. In the binary analysis, those who had more pain, visited the ED more often, had musculoskeletal diseases and sleep problems, mobility problems, visited local healers previously, and who reported self-perceived "heart and mind" disease showed statistically significant differences among the three categories. In multinomial regression analysis, visits to local healers, sleep problems and frequency of pain were significantly related to depression. The sensitivity, specificity, area under curve and Spearman's correlation of GDS-5 were 75.8%, 96%, 0.919, and 0.827 respectively. Cronbach's alpha for GDS-5 was low (0.416), therefore a new version was proposed which improved the sensitivity to 90.6% and Cronbach's alpha to 0.623.ConclusionsUnrecognized geriatric depression was highly prevalent which urges the need for ED-based interventions for screening and referral. The proposed brief GDS-5 correlated well with the GDS-15 with better validity and internal reliability and offers a more expeditious form of screening for geriatric depression in emergency settings in Nepal.

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Clinical correlates of resilience factors in geriatric depression.

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Clinical correlates of resilience factors in geriatric depression.

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