Mechanisms of heightened pain-related disability in Canadian Armed Forces members and Veterans with comorbid chronic pain and PTSD
Bibliographic record
Abstract
LAY SUMMARY Canadian Armed Forces (CAF) members and Veterans with chronic pain and posttraumatic stress disorder (PTSD) symptoms were surveyed. Participants with a high number of PTSD symptoms had a higher vulnerability to becoming psychologically traumatized by their chronic pain than participants with a low number of PTSD symptoms. In turn, participants with this high vulnerability reported experiencing more disability from their chronic pain than participants with a low vulnerability. In addition, participants with a high number of PTSD symptoms tended to have many catastrophic thoughts about their pain. In turn, these participants reported experiencing more disability from their chronic pain than participants with few catastrophic thoughts about their pain. PTSD may lead servicemembers and Veterans to experience high disability from their chronic pain by increasing how traumatized they feel by their pain and by increasing the number of catastrophic thoughts they have about their pain. Targeting pain-related psychological trauma symptoms and catastrophic thoughts when treating servicemembers and Veterans with chronic pain and PTSD may be effective at reducing disability from chronic pain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".