The Effects of Kinesio Taping and Quadriceps Muscle Strengthening Exercise on Quadriceps Muscle Strength and Functional Status in Knee Osteoarthritis
Bibliographic record
Abstract
Knee Osteoarthritis (KOA) is characterized by knee cartilage degradation. Knee Osteoarthritis symptoms are joint pain, stiffness, quadriceps muscle weakness and daily activities difficulties. The use of Kinesio Taping (KT) in Quadriceps muscle strengthening exercises (QSE) is known to increase quadriceps muscle strength, reduce pain and improve functional abilities in KOA. This study aimed to determine the effect of KT with QSE on quadriceps muscle strength and functional status in KOA. This is a double-blind randomized controlled trial, involving twenty-six KOA women that were divided equally into treatment and control groups. The treatment group was given KT and QSE, the control group received sham taping and QSE. Quadriceps muscle strength and WOMAC scores were measured before and after treatment at 4, 6 and 8 weeks. There was a significant difference in quadriceps muscle strength at the 6th week (p = 0.019) between treatment and control groups and no significant differences (p> 0.05) in the strength of quadriceps muscle at 4th and 8th weeks and WOMAC values ??at 4th, 6th and 8th weeks. We concluded that a combination of KT with QSE offers advantages for improvement of quadriceps muscle strength at 6th week but not for functional status in KOA. Keywords: Kinesio taping, Osteoarthritis, Strengthening exercises, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC)
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".