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Title

Prediction of post-traumatic stress disorder based on perceived anxiety caused by coronavirus in nurses

Pages

  4-13

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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APA: Copy

AGHILI, SEYED MOJTABA, & Rahat Ramroudi, Azadeh. (2021). Prediction of post-traumatic stress disorder based on perceived anxiety caused by coronavirus in nurses. EBNESINA, 23(2 (75) ), 4-13. SID. https://sid.ir/paper/952950/en

Vancouver: Copy

AGHILI SEYED MOJTABA, Rahat Ramroudi Azadeh. Prediction of post-traumatic stress disorder based on perceived anxiety caused by coronavirus in nurses. EBNESINA[Internet]. 2021;23(2 (75) ):4-13. Available from: https://sid.ir/paper/952950/en

IEEE: Copy

SEYED MOJTABA AGHILI, and Azadeh Rahat Ramroudi, “Prediction of post-traumatic stress disorder based on perceived anxiety caused by coronavirus in nurses,” EBNESINA, vol. 23, no. 2 (75) , pp. 4–13, 2021, [Online]. Available: https://sid.ir/paper/952950/en

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