Role of metacognition and distress tolerance as predictors of dispositional resilience among nurses; a cross-sectional study

Nursing professionals deal with many stressors and challenges at work. It is critical to address the mental health variables among nurses to optimize the psychological health and resilience to ensure the quality and effectiveness in patient care. This study was aimed to explore the influence of metacognition and distress tolerance on resilience among nurses. Participants of the study were 392 nurses from the state of Kerala in India who were employed at tertiary health-care setting. In this cross-sectional study, data were collected from the participants via the standardized self-report measures of metacognition, resilience, and distress tolerance. Independent sample t-test, one-way analysis of variance (ANOVA), Pearson’s correlation, and regression analysis were used in the study. The results revealed that metacognition was positively predicting dispositional resilience among nurses (β = 0.329, <i>t</i> = 6.156, <i>p</i> &lt; .001). Additionally, distress tolerance was also found significantly predicting dispositional resilience (β = 0.142, <i>t</i> = 2.683, <i>p</i> &lt; .001). The findings of the study highlight that strategies which enhance metacognition as well as interventions to improve distress tolerance can collectively enhance the well-being and resilience among nurses.