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Predictors of Corona Anxiety in patients with COVID-19
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Ali Shahbazi   , Mohammad Shams Mehrabadi , Shahrbanoo Ghahari , Reza Davoodi , Pouya Farokhnezhad Afshar * |
| Iran University of Medical Sciences , pouyafarokhnezhad@yahoo.com |
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Abstract: (1701 Views) |
Introduction: As a worldwide pandemic, COVID-19 has led to low quality of life for patients and many psychological disorders, particularly among patients with coronavirus. Accordingly, this study aimed at Predictors of Corona Anxiety in patients with COVID-19.
Methods: This is a descriptive-analytical study. 119 patients with covid-19 were included in the study using the convenient sampling method that was eligible (inclusion criteria: having covid-19, ability to complete the questionnaire, reading and writing literacy and exclusion criteria: inability to participate in the study, incomplete questionnaire). The subjects filled out the online questionnaires, including Templer's Death Anxiety Scale, Penn State Worry Questionnaire (PSWQ), Corona Disease Anxiety Scale (CDAS), and Depression, Anxiety, and Stress Scale (DASS). The collected data were analyzed using the Pearson correlation coefficient and multiple regression through SPSS v.22 software.
Results: There is a significant negative correlation between corona anxiety and death anxiety (r=-0.209, P<0.05) and between corona anxiety with worry (r=0.283, P<0.01). There was a positive and significant correlation between corona anxiety and depression (r=0.344 r, P<0.01). The results of regression analysis showed that depression (β=0.303, P<0.001), worry (β=0.236, P<0.006) and death anxiety (β=0.233, P<0.008) are the most effective predictors of Corona anxiety.
Conclusion: The findings showed that depression, worry and death anxiety are the main predictors of Corona anxiety and psychological interventions should be more focused to solve these issues. |
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| Keywords: Corona Anxiety, Death Anxiety, Worry, Depression |
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Full-Text [PDF 270 kb]
(454 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2023/04/19 | Accepted: 2023/10/2 | Published: 2023/10/2 | ePublished: 2023/10/2
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