SHORT-TERM EFFECTS OF TRUNK KINESIO TAPING ON TRUNK MUSCLE ENDURANCE AND POSTURAL STABILITY IN HEALTHY YOUNG ADULTS: A RANDOMIZED CONTROLLED TRIAL
Bibliographic record
Abstract
Purpose: To investigate short-term effects of trunk kinesio tape (KT) application on trunk muscle endurance and postural stability in healthy young adults. Methods: Fifty-eight healthy subjects were randomly assigned into two groups: KT group and placebo KT group. According to the group assignment, KT was applied on both sides of the abdominal and sacrospinal muscles. The trunk muscle endurance with McGill’s trunk muscle endurance tests and postural stability with a force platform (ProKin, Tecnobody, Bergamo, Italy) in static, eyes-open and closed conditions were assesse d. Chi-Square test, Paired Samples t-test, Wilcoxon test, Independent samples t-test, and Mann Whitney U test were used for analysis. Results: D emographic characteristics of the KT and placebo KT groups were similar (p>0.05). After KT application, the trunk muscle endurance scores improved (p<0.05); however, no differences were found in postural stability scores (p>0.05) in the KT group. In the placebo KT group, there was no difference between trunk muscle endurance and postural stability scores (p>0.05) . It was shown that only trunk flexor and trunk left lateral muscle endurance scores increased in the KT group compared to the placebo KT group (p<0.05). Conclusion: In this study, the trunk KT increased trunk muscle endurance; however, it did not improve postural stability in short term. Thus, the trunk KT might be important for improving or supporting trunk control in different populations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".