Document Type : research
Author
Department psychology,Payam-E-Noor university,Tehran,Iran
Abstract
Objective: The present study aimed to predict corona disease anxiety among medical staff in Tehran based on five-factor theory of personality. Method: In the present descriptive and correlational study, the statistical population included all medical staff in Tehran in 2020, among which 210 physicians, nurse, and other medical staffs were selected based on snowball sampling method. The instruments included Neo-Five Factor Inventory (NEO-FFI), Corona Disease Anxiety Scale (CDAS). Data were analyzed using Pearson’s correlation and Multiple Regression Analysis. Findings: Regression analysis indicated significantly Beta coefficients for openness personality traits (-0.238) and conscientiousness personality traits (-0.249). a statistically significant correlation is observed between openness (39%), neuroticism (-39%), extraversion (37%), conscientiousness (34%), and agreeableness (25%) with coronavirus anxiety at the 99% confidence level. Further, the correlation between each of the dimensions and the mental component of coronavirus anxiety is more compared to that of physical one. Conclusion: Based on the results of multiple regression analysis, the micro-components of openness and conscientiousness could predict the level of total coronavirus anxiety. Considering standard coefficients, conscientiousness plays a more important role in predicting the level of total coronavirus anxiety in medical staffs, which decreases by increasing openness and conscientiousness. Medical staff who are higher in openness and conscientiousness personality traits are lower in corona disease anxiety.
Keywords
Article Title [Persian]
پیشبینی اضطراب کرونا ویروس بر اساس پنج رگه نیرومند شخصیت در بین کادر درمانی
Author [Persian]
- فاطمه بیان فر
استادیار گروه روان شناسی دانشگاه پیام نور-تهران -ایران
Abstract [Persian]
Objective: The present study aimed to predict corona disease anxiety among medical staff in Tehran based on five-factor theory of personality. Method: In the present descriptive and correlational study, the statistical population included all medical staff in Tehran in 2020, among which 210 physicians, nurse, and other medical staffs were selected based on snowball sampling method. The instruments included Neo-Five Factor Inventory (NEO-FFI), Corona Disease Anxiety Scale (CDAS). Data were analyzed using Pearson’s correlation and Multiple Regression Analysis. Findings: Regression analysis indicated significantly Beta coefficients for openness personality traits (-0.238) and conscientiousness personality traits (-0.249). a statistically significant correlation is observed between openness (39%), neuroticism (-39%), extraversion (37%), conscientiousness (34%), and agreeableness (25%) with coronavirus anxiety at the 99% confidence level. Further, the correlation between each of the dimensions and the mental component of coronavirus anxiety is more compared to that of physical one. Conclusion: Based on the results of multiple regression analysis, the micro-components of openness and conscientiousness could predict the level of total coronavirus anxiety. Considering standard coefficients, conscientiousness plays a more important role in predicting the level of total coronavirus anxiety in medical staffs, which decreases by increasing openness and conscientiousness. Medical staff who are higher in openness and conscientiousness personality traits are lower in corona disease anxiety.
Keywords [Persian]
- : اضطراب
- کرونا ویروس
- ویژگیهای شخصیتی
- کادر درمانی
)