Predicting the anxiety of corona infection based on cognitive emotion regulation strategies, religious beliefs and resilience in students

Introduction: Corona virus is one of the viruses that cause respiratory infections. In addition, humans always experience fear and anxiety when faced with situations are beyond their control. Aim: The purpose present study was to predict corona infection based on cognitive regulation strategies emotion, religious beliefs resilience in students. Method: descriptive research method correlation type. statistical population included all students Islamic Azad University, Shahrood branch academic year 2019-2020, 384 were selected as a sample using available sampling according Karjesi Morgan's table. Virus Anxiety Questionnaires (2019), Cognitive Emotion Regulation (2001), Allport Ross Religious Beliefs (1967) Connor Davidson Resilience (2003) have been used. To analyze data, Pearson's coefficient multiple regression analysis used SPSS software version 26. Results: Based results, there negative relationship between emotion (P<0.05) positive significant orientation (P<0.05). Also, showed 29.6% variance contracting can be explained compatible incompatible regulation, internal external orientation, resilience. Conclusion: results orientation/beliefs ability reduce