Prediction of Pain based on Personality Features, Anxiety and Depression in Patients suffering from Chronic Pain

Farid*, Marzieh and Rahimi, Changiz and mohamadi, Nourollah (2018) Prediction of Pain based on Personality Features, Anxiety and Depression in Patients suffering from Chronic Pain. Yafteh, 20 (2).

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Abstract

Background : Chronic pain is a common and debilitating condition, but little effort has been made to understand, diagnose or treat it. The aim of the present study is the prediction of pain, based on personality characteristics, anxiety, and depression among patients suffering from chronic pain. Materials and Methods: This is a correlation study. 230 patients suffering from chronic pain were selected by convenience sampling among pain clinics of Shiraz city. Patients completed a Demographic Questionnaire, a Brief Pain Inventory (BPI), a NEO Brief Questionnaire (60 questions), a Beck Depression Inventory (BDI-II), and a Beck Anxiety Inventory (BAI). Data was analyzed using multiple regression (stepwise regression), Pierson`s Correlation Coefficient, and SPSS18 software. Results: The results indicated that components of anxiety were able to predict pain severity and pain interference in daily routines and from the Big Five Factors of Personality, neuroticism was positively able to predict chronic pain. Conclusion: Mood features and personality characteristics influence pain duration and intensity. Keywords: Chronic Pain, Personality features, Anxiety, Depression.

Item Type: Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Depositing User: Samira Sepahvandy
Date Deposited: 17 Sep 2018 05:54
Last Modified: 17 Sep 2018 05:54
URI: http://eprints.lums.ac.ir/id/eprint/1372

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