Department of Occupational Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Work. 2021;68(2):297-303. doi: 10.3233/WOR-203376.
Coronavirus disease 2019 (COVID-19) is mostly transmitted through respiratory droplets. One of the exposure methods pf this disease is through occupational exposures and, thereby, a large number of people are prone to catching this disease due to their occupations. Nurses during the COVID-19 pandemic are at the forefront of healthcare. There is no information about the level of resilience and the demographic and job factors predicting resilience in the critical conditions of this occupational group.
The present study aims to determine the resilience score and its predictive demographic factors among the nurses working at the hospitals involved with COVID-19 in Ahvaz, Iran.
387 nurses from Ahvaz hospitals participated in this study. The Connor-Davidson Resilience Scale (CD-RISC) was used to assess resilience. Demographic information was also collected using a designed questionnaire. Since the present study was conducted during the COVID-19 pandemic, the questionnaires were sent online. Data were entered into software SPSS (version 23) and T-test, ANOVA and regression methods were used for data analysis.
The mean score of 61.18 (±14.8) was obtained for CD-RISC. The results of this study showed that age (r = 0.610, P = 0.003), work experience (r = 0.572, P = 0.030), and level of education (r = 0.514, P = 0.044) had a significant positive correlation with nurses' resilience score during the COVID-19 pandemic. Multiple regression analysis indicated that work experience and level of education were the predictors of nurses' resilience (R2 = 0.15).
The score of nurses' resilience was low. Based on the results, education and work experience were determined as the contributing factors for resilience. The findings can help to better understand effective and predictive demographic factors to achieve higher resilience in stressful situations.
2019 年冠状病毒病（COVID-19）主要通过呼吸道飞沫传播。这种疾病的暴露途径之一是职业暴露，因此，由于职业原因，大量人容易感染这种疾病。在 COVID-19 大流行期间，护士处于医疗保健的最前沿。关于该职业群体在这种危急情况下的韧性水平以及预测韧性的人口统计学和工作因素，目前尚无信息。
本研究旨在确定伊朗阿瓦兹参与 COVID-19 医院护士的韧性评分及其预测人口统计学因素。
387 名来自阿瓦兹医院的护士参与了这项研究。使用 Connor-Davidson 韧性量表（CD-RISC）评估韧性。还使用设计好的问卷收集人口统计学信息。由于本研究是在 COVID-19 大流行期间进行的，因此将问卷在线发送。数据输入软件 SPSS（版本 23），并使用 T 检验、方差分析和回归方法进行数据分析。
CD-RISC 的平均得分为 61.18（±14.8）。本研究结果表明，年龄（r = 0.610，P = 0.003）、工作经验（r = 0.572，P = 0.030）和教育水平（r = 0.514，P = 0.044）与护士在 COVID-19 大流行期间的韧性评分呈显著正相关。多元回归分析表明，工作经验和教育水平是护士韧性的预测因素（R2 = 0.15）。
护士韧性评分较低。根据研究结果，教育和工作经验被确定为韧性的促成因素。研究结果可以帮助更好地了解在压力情况下实现更高韧性的有效和预测性人口统计学因素。
