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Full-Text Articles in Medicine and Health Sciences
Predictive Processing And Chronic Pain, Lydia Hurst
Predictive Processing And Chronic Pain, Lydia Hurst
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
Chronic pain is a common condition in which sufferers experience pain for over 3 months. The causes of chronic pain are often difficult to discern, as many cases are not associated with physical damage. A predictive processing (PP) perspective proposes that chronic pain results from the brain’s erroneous predictions derived from strong emotional and/or fearful reactions to pain. Individuals with anxiety disorders are more likely to react with fear to general stimuli, and therefore may be more likely to develop chronic pain under this model. The current healthcare model for this condition, which focuses on treating symptoms with pain-killers, displays …
Development And Validation Of The Pain Resilience And Optimism Scale (Pros), Wonjin Seo
Development And Validation Of The Pain Resilience And Optimism Scale (Pros), Wonjin Seo
Electronic Thesis and Dissertation Repository
Numerous self-report questionnaires have been used in pain research to explore patients' experiences. However, these questionnaires often employ negatively worded items that can potentially worsen patients' distress. In response to the emergence of positive psychology, this thesis aimed to develop a new questionnaire that adopts a positive and strengths-focused approach, incorporating resilience, to replace the negative items found in existing tools such as the Pain Catastrophizing Scale (PCS). First, the effectiveness of the Connor-Davidson Resilience Scale (CD-RISC) in measuring resilience following trauma was assessed through a systematic review using the COnsensus-based Standards for the selection of health status Measurement INstruments …