The effect of resilience indicators on the job stress level among nurses: A predictor study

Abstract

Introduction: Resilience is one of the competencies that enable nurses to adapt to stressful risk factors at work and demonstrate a healthy and stable psychological performance. The present study aimed to investigate the predictive role of resilience on job stress among Iranian nurses. Methods: The current cross-sectional study was conducted in Ahvaz, Iran, with participation of 200 nurses in May 2019. Participants were recruited via stratified random sampling. The resilience indicators and job stress data were collected by the Connor–Davidson Resilience Scale and OSIPOW Job Stress Questionnaire. Results: The results showed a significant negative correlation between resilience and job stress (r = −0.824, P < 0.05). Similarly, a significant linear regression existed between job stress and resilience (β = −0.824, P < 0.05) in such a way that resilience predicted 67.9% of the job stress variance in the participants (R2 = 0.679). In addition, it was revealed that the multi-aspect model could significantly predict job stress based on linear resilience indicators (P < 0.05). Conclusion: The results indicated that resilience indicators have a significant relationship with job stress, and this relationship can be used to predict changes in job stress based on resilience. Therefore, it is strongly recommended that resilience improvement programs should be developed and implemented for nurses.