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Title

PREDICTION OF PAIN BASED ON PERSONALITY FEATURES, ANXIETY AND DEPRESSION IN PATIENTS SUFFERING FROM CHRONIC PAIN

Pages

  76-85

Abstract

 Background: CHRONIC PAIN is a common and debilitating condition, but little effort has been madeto understand, diagnose or treat it. The aim of the present study is the prediction of pain, based onpersonality characteristics, ANXIETY, and DEPRESSION among patients suffering from CHRONIC PAIN. Materials and Methods: This is a correlation study. 230 patients suffering from CHRONIC PAINwere selected by convenience sampling among pain clinics of Shiraz city. Patients completed aDemographic Questionnaire, a Brief Pain Inventory (BPI), a NEO Brief Questionnaire (60questions), a Beck DEPRESSION Inventory (BDI-II), and a Beck ANXIETY Inventory (BAI). Data wasanalyzed using multiple regression (stepwise regression), Pierson`s Correlation Coefficient, andSPSS18 software. Results: The results indicated that components of ANXIETY were able to predict pain severity andpain interference in daily routines and from the Big Five Factors of Personality, neuroticism waspositively able to predict CHRONIC PAIN. Conclusion: Mood features and personality characteristics influence pain duration and intensity.

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    APA: Copy

    FARID, M., RAHIMI, CH., & MOHAMADI, N.. (2018). PREDICTION OF PAIN BASED ON PERSONALITY FEATURES, ANXIETY AND DEPRESSION IN PATIENTS SUFFERING FROM CHRONIC PAIN. YAFTEH, 20(2 (76) ), 76-85. SID. https://sid.ir/paper/80258/en

    Vancouver: Copy

    FARID M., RAHIMI CH., MOHAMADI N.. PREDICTION OF PAIN BASED ON PERSONALITY FEATURES, ANXIETY AND DEPRESSION IN PATIENTS SUFFERING FROM CHRONIC PAIN. YAFTEH[Internet]. 2018;20(2 (76) ):76-85. Available from: https://sid.ir/paper/80258/en

    IEEE: Copy

    M. FARID, CH. RAHIMI, and N. MOHAMADI, “PREDICTION OF PAIN BASED ON PERSONALITY FEATURES, ANXIETY AND DEPRESSION IN PATIENTS SUFFERING FROM CHRONIC PAIN,” YAFTEH, vol. 20, no. 2 (76) , pp. 76–85, 2018, [Online]. Available: https://sid.ir/paper/80258/en

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