The influence of light physical activity on scale of pain in elderly with knee osteoarthritis
Why this work is in the frame
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Bibliographic record
Abstract
Background: Osteoarthritis (OA) is a collection of mechanical variations of joint thinning, including the articular ligament and the subchondral bone.Aim: This study aims to find out how some light physical activity correlates with the pain scale among elderly with knee osteoarthritis and also to find out whether light physical activity in the elderly helps reduce pain in knee osteoarthritis.Method: This research is a descriptive cross sectional study. The sample in this study was elderly people aged 50 years and above with a total of 70 samples were selected using multistage random sampling technique located in Badung Market, Kumbasari Market, and Renon Field. Data were obtained by interviewing respondents who previously provided informed consent using structured questionnaires. The degree of pain caused by osteoarthritis was measured using The Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and the total score.Results: Distribution of sex within samples found that women (54.3%) and men (45.7%). Researchers found that the mean age of respondents was 61.2 (SD + 3.75) years. The total number of respondents who have exercise habits is 52.9%. The average WOMAC score was 23 (SD +2,319) with a minimum score of 18 and a maximum of 27. Respondents with WOMAC score <23 were 52.9% whereas respondents with WOMAC score> 23 were 47.1%. Cross-tabulation results showed 97.3% of respondents with a WOMAC score <23 had exercise habits.Conclusion: The exercise habits of the elderly with knee osteoarthritis can reduce pain when measured using a 0-4 scale and the WOMAC pain scale.
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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 | 0.000 | 0.000 |
| 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