护士冠状病毒病焦虑及其与认知灵活性的关系研究

Rohollah Fallah Madvari, Mohammad Javad Zare Sakhvidi, F. Kargar-Shouroki, Reyhaneh Sefidkar, Fatemeh Babaee, Mohadeseh Bagheshahi, Mahdi Jafari Nodoushan
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引用次数: 0

摘要

背景:冠状病毒(Covid-19)的传播产生了许多心理后果。护士因其职业职责而感到焦虑。考虑到护士心理健康和护理行为的重要性,本研究旨在探讨护士新冠肺炎焦虑及其与认知灵活性的关系。方法:选取某医院2021年的100名护士进行调查。数据收集工具包括人口统计问卷、冠状疾病焦虑量表(CDAS)和认知灵活性量表(CFI)。数据分析采用SPSS软件第22版,采用Mann-Whitney、Kruskal-Wallis、独立样本t检验、单因素方差分析和相关检验。结果:认知灵活性得分平均为96.68分(13.72分)。新冠肺炎焦虑的中位数为8(9)。因此,数据分析结果显示,人口统计学变量与新冠肺炎焦虑之间无显著相关(P < 0.05)。认知灵活性与新冠肺炎焦虑无显著相关(P < 0.05)。结论:在本研究中,认知灵活性对冠状病毒病焦虑无显著影响。考虑到在这一领域出现的相互矛盾的结果,作者建议进行类似的研究,样本量更大,考虑到不同的变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating Corona Disease Anxiety in Nurses and Its Relationship with Cognitive Flexibility: A Case Study
Background: The spread of coronavirus (Covid-19) had many psychological consequences. Nurses experience anxiety due to their professional duties. Considering the importance of mental health and caring behaviors in nurses, the present study was conducted to investigate Covid-19 anxiety in nurses and its relationship with cognitive flexibility. Method: The present study was conducted on 100 nurses of a selected hospital in 2021. Data collection tools included demographic questionnaire, Corona Disease Anxiety Scale (CDAS) and Cognitive Flexibility Inventory (CFI). Data analysis was performed through version 22 of SPSS software using Mann-Whitney, Kruskal–Wallis, independent sample t-test, one-way ANOVA and correlation tests. Results: The mean of cognitive flexibility was 96.68 (13.72). The median of Covid-19 disease anxiety was equal to 8 (9). Accordingly, the results of data analysis showed that there was no significant relationship between demographic variables and covid-19 anxiety (P>0.05). Furthermore, no significant relationship was found between cognitive flexibility and covid-19 anxiety (P>0.05). Conclusion: In this study, cognitive flexibility had no significant effect on Coronavirus disease anxiety. Considering the presentation of contradictory results in this field, authors suggest that a similar study be conducted with a larger sample size and different variables be taken into account.  
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