The Resilience Prediction of Patients with Corona Disease Based on Life Expectancy, Religious Coping Style, Spiritual Intelligence and Self-Compassion

This study aims to evaluate the resilience prediction of patients with Corona disease based on life expectancy, religious coping style, spiritual intelligence, and self-compassion.

In terms of purpose, this research is part of applied research and in terms of data collection method, it is a descriptive correlational type and field method has been used to collect information. The statistical population was Iranian patients over 18 years of age with Corona disease and 144 people were selected from the statistical population by snowball sampling method. In this study, questionnaires of Snyderchr('39')s hope scale (1991), Pargamentchr('39')s religious coping style (short form) (2000), Abdullahzadeh spiritual intelligence (2009), Neff Self-Compassion Scale (2010) and The Connor-Davidson Resilience Scale (CD-RISC) (2003) were used. Stepwise linear regression was used to investigate the linear equation of the studied variables in order to predict resilience. In this method, the predictors of life expectancy (β1 = 0.34), spiritual intelligence (β2 = 0.47), self-compassion (β3 = 0.35), and religious coping (β4 = 0.19) were entered into the model, respectively.

The research findings show that hope, spiritual intelligence, self compassion, and religious coping have positive and significant relationship with resilience. In other words, the increase or decrease in each one of variables hope, spiritual intelligence, self compassion and religious coping accompany with the increase or decrease of resilience.

Findings showed that the higher life expectancy, the more positive religious coping style, the higher the spiritual intelligence and the more self-compassion, the more resilience and better performance in the difficult conditions of Corona disease