Mindfulness and Resilience as Predictors of Job Burnout among Nurses in Public Hospitals

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Ayman Abdelgalil M. Elkady

Abstract

The purpose of this study was to investigate the combined effects of two variables, namely, mindfulness and resilience on one outcome measure, namely, job burnout, as well as investigating the relative contribution of mindfulness and resilience to job burnout among nurses in public hospitals. Additionally, the aim was to find out if there were relationships between and among mindfulness, resilience and job burnout in nurses in public hospitals. The sample was composed of 130 nurses (all of them were females). The average age was 26.4 years (SD=8.23). Quantitative survey research was employed. The independent variables are mindfulness and resilience, while the dependent variable is job burnout. The Freiburg Mindfulness Inventory (FMI) (Walach et al., 2006), The Connor Davidson-Resilience Scale (CD-RISC). (Connor & Davidson, 2003), and Maslach Burnout Inventory (1996- 2016) were employed for data collection. Findings indicated that there were significant correlations between mindfulness, resilience and job burnout. On the other hand, job burnout was found to be negatively correlated with resilience. The two independent variables (mindfulness and resilience) when put together yielded a coefficient of multiple regression (R) of 0.764 and a multiple correlation square of 0.621. This shows that 62.1% of the total variance in job burnout of those who participated in the study is accounted for by the combination of mindfulness and resilience.

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How to Cite
Elkady, Ayman. 2019. “Mindfulness and Resilience As Predictors of Job Burnout Among Nurses in Public Hospitals”. International Journal of Psycho-Educational Sciences 8 (Special Is), 14-21. https://www.journals.lapub.co.uk/index.php/IJPES/article/view/460.
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