Resilience predicts remission in antidepressant treatment of geriatric depression.

ABSTRACT:

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 reveal

SUBMITTER: Laird KT 

PROVIDER: S-EPMC6246780 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature