Differential predictors of the long-term levels of pain intensity, work disability, healthcare use, and medication use in a sample of workers’ compensation claimants
Bibliographic record
Abstract
The fear avoidance model of pain (FAM) conceptualizes pain catastrophizing as the cognitive antecedent of pain-related fear, and pain-related fear as the emotional antecedent of depression and disability. The FAM is essentially one of mediation whereby pain-related fear becomes the process by which depression or disability ensue. However, emerging literature suggests that pain catastrophizing, pain-related fear, and depression might be at least partially distinct in their prediction of different pain-related outcomes. The primary purpose of the present study was to evaluate whether psychological factors in the FAM (pain catastrophizing, pain-related fear, and depression) differentially predict long-term pain-related outcomes. Toward this objective, we conducted a prospective study using a cohort of 202 individuals with subacute work-related musculoskeletal injuries. Participants completed a 7-week physical therapy program with a functional rehabilitation orientation. Posttreatment measures of fear of movement, pain catastrophizing, depression, and pain self-efficacy were used to predict the persistence of pain symptoms, healthcare use, medication use, and return-to-work at one-year follow-up. Results from hierarchical linear and logistic regression analyses revealed that pain catastrophizing and fear of movement act as differential predictors of long-term pain-related outcomes. Specifically, we found unique relationships between pain catastrophizing and long-term pain intensity, and fear of movement and long-term work disability. After controlling for pain intensity and FAM variables, pain self-efficacy was shown to be a unique predictor of medication use. Implications for the FAM and the clinical management of musculoskeletal pain conditions are discussed. Unique relationships were found between pain catastrophizing and long-term pain intensity, between fear of movement and long-term work disability, and between pain self-efficacy and medication use at one-year follow-up.
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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 | 0.003 | 0.008 |
| 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 | 0.001 |
| 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".