Sports massage therapy on the reduction of delayed onset muscle soreness: A systematic review and meta analysis
Bibliographic record
Abstract
Background: DOMS (Delayed Onset Muscle Soreness) is a condition where muscle pain appears shortly after activity, usually occurring shortly after doing sports or activities that exceed the usual capacity. It can also be caused by doing sports or activities he has never done before. DOMS usually appears in a healthy person but mainly occurs in athletes. A sports massage intervention is recommended to reduce the DOMS in the recovery process.Purpose: To determine whether sports massage can reduce DOMS and provide recovery effects on a person.Method: This research is a systematic review and meta-analysis using the PRISMA diagram. Performed article search with eligibility test with PICO. Population: people with DOMS. Intervention: Sport massage. Comparison: control treatment. Outcome: pain reduction. The articles used came from 2 databases, namely PubMed and Science Direct. The keywords in this article search are "DOMS," AND "Recovery," AND "Sport massage." The inclusion criteria in this study were full-text articles with a Randomized Control Trial research design. The relationship measure used is Mean SD. This article was analyzed using the Review Manager 5.4 application.Results: The eight articles reviewed were from California, Canada, Spain, the USA, South Africa, and Brazil. The results showed that sports massage could not reduce DOMS effectively and significantly. A person with DOMS who received sports massage had an average pain score of -0.19, lower than someone who received control treatment (SMD= -0.19; 95% CI= -1.93 to 0.10; p=0.19).Conclusion: Sports massage cannot reduce DOMS in the recovery process effectively and significantly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.027 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".