Massage therapy slightly decreased pain intensity after habitual running, but had no effect on fatigue, mood or physical performance: a randomised trial
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Bibliographic record
Abstract
QUESTION: Does massage therapy reduce pain and perceived fatigue in the quadriceps, and improve the mood and physical performance of runners after habitual sporting activity (10-km run)? DESIGN: Randomised controlled trial with concealed allocation, intention-to-treat analysis and blinded assessment. PARTICIPANTS: Seventy-eight runners after sporting activity (10-km run). INTERVENTION: The experimental group received 10 minutes of massage to the quadriceps aimed at recovery following sport practice, and the control group received a sham joint mobilisation. OUTCOME MEASURES: Pain and perceived fatigue were each assessed using a 0-to-10 numerical rating scale; pain behaviour via the McGill Pain Questionnaire; mood profile via Brunel Mood Scale; quadriceps muscle flexibility using maximal knee flexion angle via inclinometer; isometric muscle strength of knee extensors via hand-held dynamometry; and vertical jump performance using jump height via My Jump 2 app. Evaluations were carried out immediately before and after the intervention, and at 24, 48 and 72 hours after the intervention. Generalised estimating equations were used to estimate a between-group difference (95% CI) using data across all time points. RESULTS: The experimental group had significantly lower scores than the control group on the numerical rating scale for pain by 0.7 points (95% CI 0.1 to 1.3). There were no significant between-group differences for any of the other outcome measures. CONCLUSION: Massage therapy was effective at reducing pain intensity after application to the quadriceps of runners compared to a sham technique, but the magnitude of the effect was small. There were no significant effects on perceived fatigue, flexibility, strength or jump performance. TRIAL REGISTRATION: Brazilian Registry of Clinical Trials, RBR-393m7m.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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