Prediction of post-traumatic stress disorder based on perceived anxiety caused by coronavirus in nurses
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Abstract:
Background and aims: The release of covid-19 has created a global health emergency in less than a few months around the world. The aim of this study was to predict Post-Traumatic Stress Disorder (PTSD) based on perceived anxiety caused by coronavirus in nurses of a hospital in Quchan city, Iran in 2020. Methods: In this descriptive correlational study, 100 nurses of a hospital in Quchan city were selected by convenience sampling method, and then Corona Disease Anxiety Scale (CDAS) and PTSD CheckList (Civilian Version) (PCL-C) were responded by them. Data were analyzed using descriptive statistics, Pearson correlation coefficient, and stepwise regression analysis. Results: The results showed that anxiety caused by Covid-19 was able to predict PTSD in nurses (p<0.001). The highest values for predicting of PTSD in nurses were related to physical symptoms and psychological symptoms, respectively. Conclusion: The coronavirus anxiety reduction techniques are recommended for nurses to reduce PTSD.
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Journal title
volume 23 issue 2
pages 4- 13
publication date 2021-08
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