Payam Rashnuodi, M. Nourollahi-Darabad, D. Afshari, G. Shirali, A. Amiri, Ehsan Rotkhali, Zohreh Shabgard
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引用次数: 3
摘要
简介:弹性是一种能力,使护士能够适应工作中的压力风险因素,并表现出健康和稳定的心理表现。本研究旨在探讨心理弹性对伊朗护士工作压力的预测作用。方法:目前的横断面研究于2019年5月在伊朗阿瓦士进行,有200名护士参与。参与者采用分层随机抽样方式招募。采用Connor-Davidson弹性量表和OSIPOW工作压力问卷收集弹性指标和工作压力数据。结果:心理弹性与工作压力呈显著负相关(r = - 0.824, P < 0.05)。同样,工作压力与心理弹性之间也存在显著的线性回归(β = - 0.824, P < 0.05),心理弹性预测了67.9%的工作压力方差(R2 = 0.679)。此外,基于线性弹性指标的多面向模型能够显著预测工作压力(P < 0.05)。结论:心理弹性指标与工作压力之间存在显著的相关关系,这种关系可用于预测基于心理弹性的工作压力变化。因此,强烈建议为护士制定和实施弹性改善计划。
The effect of resilience indicators on the job stress level among nurses: A predictor study
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.