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year 10, Issue 11 (Spring 2022 2022)                   Rooyesh 2022, 10(11): 141-148 | Back to browse issues page

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Azizi M, Heidari A. Predicting of coronary anxiety based on cognitive fusion and anxiety sensitivity in men and women in Bandar Abbas. Rooyesh 2022; 10 (11) :141-148
URL: http://frooyesh.ir/article-1-3172-en.html
1- Master student of Clinical Psychology, Department of Psychology, School of Medicine, Azad University, Bandar Abbas, Iran. , ma.azizi2021@gmail.com
2- Master student of Clinical Psychology, Department of Psychology, School of Medicine, Azad University, Bandar Abbas, Iran.
Abstract:   (4086 Views)
The aim of this study was to predict Corona disease anxiety based on cognitive fusion and anxiety sensitivity in men and women in Bandar Abbas. The research method was descriptive and correlational. The statistical population of the study was all men and women living in Bandar Abbas in 1400, from which 144 people were selected by convenience sampling method.  After obtaining informed consent, individuals were asked to complete the Anxiety Sensitivity Questionnaire (ASI_R) (Peterson and Hilbrunner, 1987), Corona Disease Anxiety Scale (CDAS) (Alipour et al., 1398), and Cognitive Fusion Questionnaire(CFQ) (Gillanders et al., 2014). Correlation and simultaneous regression analysis were used to analyze the data. The results showed that there is a direct relationship between cognitive fusion and Corona disease anxiety (p <0.05, r = 0.68).  There is a positive relationship between anxiety sensitivity and coronary anxiety (p <0.05, r = 0.73). The results also showed that the combination of research variables was significantly related to corona anxiety and explained 0.44% of its variance (p <0.05, R2 = 0.44). According to the results of the present study, it can be concluded that cognitive fusion and anxiety sensitivity are effective on corona anxiety and can act as factors to increase the level of anxiety.
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Type of Article: Research | Subject: Clinical Psychology
Received: 2021/09/11 | Revised: 2022/04/5 | Accepted: 2021/11/20 | ePublished: 2022/01/30

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