Evaluation of the fear-avoidance model with health care workers experiencing acute/subacute pain
Bibliographic record
Abstract
Studies in the literature do not show clear evidence supporting the relationship between pain and depressive symptoms in individuals experiencing acute/subacute pain compared to those experiencing chronic pain. However, more information is needed about which variables act as mediators in the pain-depression relationship in people having acute/subacute pain, before pain becomes chronic. Our objectives were to test the suitability of the fear-avoidance model in a sample of 110 health care workers experiencing acute/subacute pain using path analyses, to improve the model as needed, and to examine a model involving both pain catastrophizing and pain self-efficacy with work status as a final outcome. Overall, the results indicated that adjustments to the fear-avoidance model were required for people experiencing acute/subacute pain, in which fear-avoidance beliefs and depressive symptoms were concurrent rather than sequential. The catastrophizing concept was most closely associated with depressive symptoms, while pain self-efficacy was directly associated with fear-avoidance beliefs and indirectly to work outcomes. Assessing and modifying pain self-efficacy in acute/subacute pain patients is important for interventions aiming to decrease fear-avoidance and improve work outcomes.
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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 | 0.010 | 0.001 |
| 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".