UCLA

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