A cross-sectional study of perceived injustice and disability in hip osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: To determine the correlation among severity of hip osteoarthritis, disability, and Perceived injustice. MATERIAL AND METHODS: A cohort of 46 participants with unilateral hip osteoarthritis underwent hip range of motion measurements and completed the Injustice Experience Questionnaire (IEQ), the Hip Disability and Osteoarthritis Outcome Score (HOOS), and a Croft radiological grading of osteoarthritis severity. RESULTS: The mean age of the cohort was 62.7±10.4 years, and the cohort included 27 females. The mean duration of symptoms was 46.9±20.6 months. The means of each of the five subscales of the HOOS were as follows: Pain, 62.3±9.4; Other Symptoms, 56.7±9.6; Function in Activities of Daily Living (ADL), 58.2±6.7; Function in Sport and Recreation (Sport/Rec), 58.1±6.7; and Hip-Related Quality of Life (QOL) 59.9±7.5. The combined mean hip range of motion (abduction, adduction, flexion, extension, external rotation, internal rotation) was 215.9±10.9 degrees. The mean IEQ score (Perceived injustice) was 12.0±1.7. Of the available factors, only QOL, hip range of motion, and the Croft radiological osteoarthritis grade predicted Perceived injustice scores, with an R-squared of 0.81 in multiple regression analysis. CONCLUSION: In this cohort of patients with unilateral osteoarthritis, more severe disease (as measured by restricted range of motion and radiological severity) was highly correlated with higher levels of Perceived injustice. Perceived injustice may thus reflect an appropriate response to the severity of the disease and is thus more likely a result of the disease process and subsequent disability rather than a cause of disability.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".