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Information Journal Paper

Title

Predicting Corona Disease Anxiety among Medical Staff in Tehran Based on Five-Factor Theory of Personality

Pages

  113-126

Abstract

 Objective: The present study aimed to predict Corona disease anxiety among medical staff in Tehran based on fivefactor 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, nurses, and other medical staffs were selected based on snowball sampling method. The instruments included Neo-Five Factor Inventory (NEO-FFI) and 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 (-0. 238) and conscientiousness personality traits (-0. 249). Conclusion: medical staff who are higher in openness and conscientiousness personality traits are lower in Corona disease anxiety.

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    APA: Copy

    BAYANFAR, FATEMEH. (2020). Predicting Corona Disease Anxiety among Medical Staff in Tehran Based on Five-Factor Theory of Personality. IRANIAN JOURNAL OF HEALTH PSYCHOLOGY, 2(2 (4) ), 113-126. SID. https://sid.ir/paper/737747/en

    Vancouver: Copy

    BAYANFAR FATEMEH. Predicting Corona Disease Anxiety among Medical Staff in Tehran Based on Five-Factor Theory of Personality. IRANIAN JOURNAL OF HEALTH PSYCHOLOGY[Internet]. 2020;2(2 (4) ):113-126. Available from: https://sid.ir/paper/737747/en

    IEEE: Copy

    FATEMEH BAYANFAR, “Predicting Corona Disease Anxiety among Medical Staff in Tehran Based on Five-Factor Theory of Personality,” IRANIAN JOURNAL OF HEALTH PSYCHOLOGY, vol. 2, no. 2 (4) , pp. 113–126, 2020, [Online]. Available: https://sid.ir/paper/737747/en

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