The Characteristics of Muscle Soreness – Delayed Onset Muscle Soreness in Sport Person from South Sulawesi
Bibliographic record
Abstract
Muscle Soreness – Delayed Onset Muscle Soreness (MS – DOMS) is the immediate and delayed muscle pain experienced by individuals after exercising. This study aims to observe the characteristics of MS-DOMS and the pattern of dietary intake and physical activity of athletes in South Sulawesi. The research method used was an observational description method with cross sectional design using a closed-ended questionnaire given to 211 samples categorized as athletes and non-athletes in South Sulawesi. The questionnaire was distributed using G.Forms and QR codes. The questionnaire used was a modified between the McGill Pain Questionnaire and the numerical pain scale, SQ – FFQ, as well as the form of physical activity performed. The indicators of the questions include physical activity, dietary patterns, and the characteristics of muscle pain. This study took place from May to October 2024. The results obtained showed that 69.2% of respondents experienced muscle pain after exercise, with 44.4% experiencing it less than 6 hours after exercise, with a duration of pain felt for less than 6 hours (44.2%). The most common location of muscle pain was in the thighs (31.8%) with a pain scale of 3 (19%), while the pain felt after 24 hours received the most answers, scale 3 and 5 (17.5%).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".