Abstract

Treatment gap for common mental health problems, especially of the depressive disorders is consequential in developing countries like India. Positive mental health domains like resilience and self-compassion have been long hailed as protective factors against depression and viable for use in therapeutic aspects. The objectives were to find an association between resilience, self-compassion, and depression. The study was conducted using a cross-sectional design among 75 respondents who were seeking treatment for major depressive disorders from a tertiary care center during the second wave of COVID-19. Three scales were administered online, namely Beck's Depression Inventory-II (BDI-II), Connor Davidson Resilience Scale (CD RISC-25), and Self-Compassion Scale-Short Form (SCS-SF). Spearman's rank correlation test, Chi-square with Fisher's exact test, and Kruskal Wallis H test were used to study the relationships and differences in average scores with respect to the severity of depression. Most of the respondents had moderate depressive features along with moderately high levels of resilience (CD RISC 25) and self-compassion (SCS-SF) scores. Resilience and self-compassion were found to have no significant relationship with respect to the severity of depression. There was a weakly positive correlation between resilience and self-compassion among those with moderate and severe depression. Since the individuals with depression had higher scores on resilience and self-compassion, the levels of depression remained at moderate levels of severity despite the devastating impact of the second wave of COVID-19 in the Indian sub-continent. Results are to be interpreted with respect to psychosocial contexts arising during the COVID-19 pandemic. Mental health programs can incorporate the variables of resilience and self-compassion in intervention among individuals with depression which have likely been beneficial in their process of recovery.

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