Evaluation the Impacts of Knee Osteoarthritis on Quality of Life among Jordanian Patients Using the Arabic Version of the Western Ontario and Mcmaster Universities Arthritis Index (WOMAC)
Bibliographic record
Abstract
Introduction: Knee osteoarthritis is one of the most common knee pathologies worldwide. The physical activity level of individuals with knee OA has been evaluated among different countries, but never done in Jordan. However, the life habits of Jordanian including eating habits, living area environment, life style, and other daily practices are different from western countries. Aim: The main purpose of this study is evaluating the effects of knee OA on quality of life for Jordanian before prescribing any of the recommended orthotics interventions. Method: 50 participants (42 females, 8 males, 57 ± 12 years, and 86 ± 18 kg) were recruited in this investigation. Each participant was asked to fill a WOMAC questionnaire. Results: the total WOMAC score (0.66 ± 0.15) and pain score (0.65 ± 0.18) are high among Jordanian knee OA patients. Most of the patients complain from severe pain during using stairs, praying, and sitting on floor to having a meal. Knee stiffness is more noticeable in the morning and some daily activities were limited due to pain. Conclusion: The life habit in Jordan is different from other countries. Jordanians have special daily activities that increase pain, joint degeneration, and accelerate the need for total knee replacement surgery. Thus, orthotics and therapists should be aware about those activities and ask their patients to reform their life style before prescribing any orthotics interventions for better outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".