• Title of article

    Predicting Chronic Pain and Self-Regulation Based on Positive and Negative Emotions in Patients with Chronic Pain

  • Author/Authors

    Mohammadi, Akram No Affiliation

  • Pages
    7
  • From page
    557
  • To page
    563
  • Abstract
    This study aimed to predict chronic pain and self-regulation based on positive and negative emotions in patients with chronic pain. From all patients with chronic pain sent to hospitals in Bandar Abbas, Iran, 165 people were selected by cluster random sampling using the Morgan table as a statistical sample. To collect data, the Positive and Negative Emotion (PANAS) questionnaire, chronic pain, and self-regulation (SRI-S) were used. Multiple regression was used to test the research hypotheses. The results showed that positive emotion significantly explains about 45% of the variance of the criterion variable (Chronic pain) and negative emotion about 40% of the variance significantly. Also, positive emotion significantly explains 29% of the variance of the criterion variable (self-regulation), and negative emotion about 26% of the variance. In general, the findings of the present study supported the role of emotions in pain perception, tolerance, and self-regulation in patients with chronic pain.
  • Keywords
    patients with chronic pain , self-regulation , pain intensity , Positive and negative emotions
  • Journal title
    Iranian Evolutionary and Educational Psychology Journal
  • Serial Year
    2021
  • Record number

    2703764