Further Evaluation of the Motivational Model of Pain Self-Management: Coping with Chronic Pain in Multiple Sclerosis
Bibliographic record
Abstract
BACKGROUND: Growing evidence suggests that motivation to engage in pain-coping strategies is a key predictor of how well a person adjusts to pain. According to the Motivational Model of Pain Self-Management, readiness to engage in pain self-management behaviors is influenced by beliefs about the importance of the behavior (importance) and the ability to carry out the behavior (self-efficacy). PURPOSE: The purpose of this study was to test the Motivational Model of Pain Self-Management for exercise and task persistence pain-coping behaviors in a sample of 114 individuals with multiple sclerosis and chronic pain. METHODS: Measures included the Multidimensional Pain Readiness to Change Questionnaire-2 and measures of importance, self-efficacy, and coping behavior duration. Tests of mediation were conducted with two path analyses, one for each coping behavior. RESULTS: The effects of importance and self-efficacy beliefs on coping behaviors were mediated or partially mediated by readiness to engage in those behaviors. CONCLUSIONS: These findings provide support for the Motivational Model of Pain Self-Management and have important implications for the development of treatments for chronic pain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".