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Predicting chronic pain in patients with knee pain: The role of catastrophic fear and pain adaptation
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Sareh Adibnia   , Sara Pashang * , Biuok Tajeri , Maryam Kalhornia Golkhar |
| , Sarahpashang@yahoo.com |
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Abstract: (631 Views) |
Introduction: Chronic pain is one of the most important challenges in the management of patients with musculoskeletal disorders, so the aim of the present study was to investigate the role of catastrophic fear and pain adaptation in predicting chronic pain in patients with knee pain.
Methodology: The present study was a descriptive correlational study. The statistical population of this study included all patients with knee pain referring to Milad Hospital in Tehran. The sample of the present study was purposive sampling and 250 people were selected. The research tools included Vowles and McCran's Pain adaptation Questionnaire (2012), Van Korff et al.'s Chronic Pain Questionnaire (1990) and Sullivan et al.'s Pain Catastrophizing Questionnaire (1995). Data analysis was performed using Pearson correlation test and multiple regression and SPSS software version 22.
Results: The results of the standard coefficients of the regression model showed that rumination (p<0.01, β=0.39), magnification (p<0.01, β=0.25), and helplessness (p<0.05, β=0.21) are related to chronic pain and therefore positively and significantly predict chronic pain in patients with knee pain. Also, commitment to activity (p<0.05, β=-0.29) and pain satisfaction (p<0.01, β=-0.20) are negatively related to chronic pain and therefore significantly predict chronic pain in patients with knee pain.
Conclusion: Based on the results, it can be said that paying attention to the catastrophic fear and pain adaptation of patients with knee pain in planning health care for them can help in better management of chronic pain in patients with knee pain.
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| Keywords: Chronic pain, Catastrophic fear, Pain adaptation, Patients with knee pain |
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Full-Text [PDF 291 kb]
(170 Downloads)
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Type of Study: Psychiatric and Mental Health Nursing |
Subject:
behavioral sciences
Received: 2024/12/29 | Accepted: 2025/01/27 | Published: 2025/03/30
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