PENGARUH DUAL TASK EXERCISE DALAM MENINGKATKAN KESEIMBANGAN DAN KEMAMPUAN FUNGSIONAL PADA PASIEN OSTEOARTHRITIS LUTUT DERAJAT DUA
Bibliographic record
Abstract
Knee osteoarthritis is a degenerative condition that affects balance and functional mobility of the knee joint. The application of dual-task exercise using a Bola bosu is expected to improve these impairments. Objective: To evaluate the effectiveness of dual-task exercise in improving balance and functional ability in patients with grade II knee osteoarthritis. Methods: This study employed a pre-experimental design with a one-group pretest-posttest approach. A total of 15 participants were selected using a consecutive sampling technique. Balance was measured using the Berg Balance Scale, while functional ability was assessed using the Timed Up and Go (TUG) test and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire. Results: The paired t-test showed a significant improvement in balance (p = 0.001) and functional ability (p = 0.001). Conclusion: Dual-task exercise effectively improves balance and functional ability in patients with grade II knee osteoarthritis. Implications: Dual-task exercise can be considered a therapeutic option for rehabilitation programs in patients with grade II knee osteoarthritis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".