Resilience predicts remission in antidepressant treatment of geriatric depression.

摘要: Objectives With the world population rapidly aging, it is increasingly important to identify sociodemographic, cognitive, and clinical features that predict poor outcome in geriatric depression. Self-report measures of resilience-ie, ability adapt thrive face adversity-may those depressed older adults with more favorable prognoses. Methods We investigated utility baseline variables including 4 factors resilience (grit, active coping self-efficacy, accommodative spirituality) for predicting treatment response remission a 16-week randomized controlled trial methylphenidate, citalopram, or their combination 143 over age 60 MDD. Results Final logistic regression models revealed greater total (Wald χ2 = 3.8, P 0.05) significantly predicted both remission. Specifically, 20% increase nearly 2 times likelihood (OR 1.98, 95% CI [1.01, 3.91]). Examining individual resilience, only self-efficacy 3.7, 0.05; OR 1.41 [1.00-2.01]) was associated found no relation between sociodemographic (age, sex, race, education level) cognitive performance posttreatment depressive symptoms. Conclusions Self-reported may responsivity antidepressant medication Future research should investigate potential training-and particular, interventions designed coping-to promote sustained