Changes in self-reported disability after performance-based tests in obese and non-obese individuals diagnosed with osteoarthritis of the knee
Bibliographic record
Abstract
PURPOSE: The purposes of this study are three-fold: (1) To examine whether the WOMAC questionnaire should be obtained before or after performance-based tests. (2) To assess whether self-reported disability scores before and after performance-based tests differ between obese and non-obese individuals. (3) To observe whether physical activity and BMI predict self-reported disability before and after performance based tests. METHODS: A longitudinal study included thirty one participants diagnosed with knee osteoarthritis (OA) using the Kellgren-Lawrence Scale by an orthopedic surgeon. RESULTS: All WOMAC scores were significantly higher after as compared to before the completion of performance-based tests. This pattern of results suggested that the WOMAC questionnaire should be administered to individuals with OA after performance-based tests. The obese OA was significantly different compared to the non-obese OA group on all WOMAC scores. Physical activity and BMI explained a significant proportion of variance of self-reported disability. CONCLUSION: Obese individuals with knee OA may over-estimate their ability to perform physical activities, and may under-estimate their level of disability compared to non-obese individuals with knee OA. In addition, self-reported physical activity seems to be a strong indicator of disability in individuals with knee OA, particularly for individuals with a sedentary life style. Implications for Rehabilitation Osteoarthritis is a progressive joint disabling condition that restricts physical function and participation in daily activities, particularity in elderly individuals. Obesity is a comorbidity commonly associated with osteoarthritis and it appears to increase self-reported disability in those diagnosed with osteoarthritis of the knee. In a relatively small sample, this study recommends that rehabilitation professionals obtain self-report questionnaires of disability after performance-based tests in obese individuals with osteoarthritis of the knee as they are more likely to give an accurate representation of their level of ability at this time.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".