The effectiveness of whole-body vibration on the attenuation of delayed-onset muscle soreness in healthy untrained individuals: a randomised controlled trial
Bibliographic record
Abstract
Delayed onset muscle soreness (DOMS) is a condition that happens following eccentric or intensive exercises. Whole-body vibration (WBV) is a potential treatment for DOMS; however, there is a lack of studies assessing its effectiveness in the untrained population. Our study objective was to test the efficacy of WBV compared with no treatment on pain and knee strength in healthy adults with DOMS. We randomly allocated 52 participants, 12 men and 40 women, aged 18 to 28 years, into WBV (n=26) and control (n=26) groups. The eligibility criteria included no history of injury, strengthening or aerobic exercises within the past six months. The participants walked on a treadmill to introduce DOMS. 24 h later, the WBV group received one session of WBV treatment, with their knees bent to 60° for 1 min (frequency, 30 Hz; amplitude 2-5 mm). We assessed pressure pain threshold (PPT), visual analogue scale (VAS), and knee maximum isometric force (MIF) at four time points. We did a one-way repeated measures ANOVA of each outcome measure, followed by a t-test and Bonferroni post-hoc test. The between-group differences were not significant at the baseline and 24 h post-DOMS (P>0.05). Statistical analyses revealed significant differences between the two groups for all variables at 96 h post-DOMS inducement (P<0.05), with mean differences for PPT, MIF and VAS being 1.19 kilo Pascals (95%CI = 0.78-1.32), 42.87 Newtons (95%CI = 28.53-56.98), and -2.39 (95%CI = -3.13- -1.98), respectively. Moreover, differences between the two groups were statistically significant for MIF 168 h post-DOMS (P<0.05). WBV can effectively improve pain and muscle strength; therefore, beneficial treatment for recovery of DOMS symptoms. However, determining the exact dose, frequency, and best time of application is pending future research. Iranian Registry of Clinical Trials registration number: IRCT2016092429958N1
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".