Delayed onset muscle soreness in neck/shoulder muscles
Bibliographic record
Abstract
The aim of the present study is to: (1) induce delayed onset muscle soreness (DOMS) in the neck and shoulder muscles; (2) compare the pressure pain sensitivity of muscle belly with that of musculotendinous tissue after DOMS; (3) examine the gender differences in the development of DOMS. An eccentric shoulder exercise was developed to induce DOMS on neck/shoulder muscles using a specially designed dynamometer. Eccentric shoulder contraction consisted of 5 bouts, each bout lasted 3min, with 3min rest period between each bout. The right shoulder was elevating against a downward pressure force of 110% maximal voluntary contraction force exerted by the dynamometer. Pressure pain thresholds (PPT) of 11 sites (seven sites measured were muscle belly and four sites were myotendinous area) on neck/shoulder region were measured before, immediately after, 24 and 48h after exercise. Pain intensity, pain area and index of McGill pain questionnaire were assessed and all were increased after exercise. DOMS was induced in the shoulder muscles. PPT was significantly decreased and reached lowest values at 24h. The muscle belly sites are more sensitive to pain than the musculotendinous sites. No gender differences were found in any of the parameters used to assess the development of DOMS. DOMS did not distribute evenly in the neck/shoulder region. Soreness after exercise in the neck and shoulder seems not to be among the conditions that produce predominant musculoskeletal pain in females.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".