The relationship of gender to pain, pain behavior, and disability in osteoarthritis patients: the role of catastrophizing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
One hundred and sixty-eight patients with osteoarthritis (OA) of the knees participated in this study. Of the participants, 72 were men and 96 were women. All participants completed the Arthritis Impact Measurement Scales (AIMS), underwent a 10 min standardized observation session to assess their pain behavior, and completed the Catastrophizing Scale of the Coping Strategies Questionnaire (CSQ) and the Depression Scale of the Symptom Checklist 90 Revised (SCL-90R). The study found that there were significant differences in pain, pain behavior, and physical disability in men and women having OA. Women had significantly higher levels of pain and physical disability, and exhibited more pain behavior during an observation session than men. Further analyses revealed that catastrophizing mediated the relationship between gender and pain-related outcomes. Once catastrophizing was entered into the analyses, the previously significant effects of gender were no longer found. Interestingly, catastrophizing still mediated the gender-pain relationship even after controlling for depression. These findings underscore the importance of both gender and catastrophizing in understanding the OA pain experience and may have important implications for pain assessment and treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.006 |
| 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 it