Changes in trunk functions using fascia manipulation techniques.
Bibliographic record
Abstract
Arnius Mickevičius. Changes in trunk functions using fascia manipulation techniques. Thesis of a student of physiotherapy study programme. Supervisor Ingrida Kondrotienė, lecturer-practitioner, Department of Rehabilitation and Social Welfare, Faculty of Medicine, Utena College. Utena, 2024. SUMMARY Topic relevance. More and more people have an irregular posture, stumble, slouch. Changes in trunk functions are typical for both non-athletic and physically active people. The topic chosen for the research work aims to investigate an effective way of correcting people's posture. The aim of this thesis is to identify changes in trunk function using various fascia manipulation techniques. Objectives: 1. To evaluate fascia manipulation effectiveness in thoracolumbar part; 2. To evaluate fascia manipulation effectiveness in shoulder range of motion; 3. To evaluate fascia manipulation effectiveness in thoracolumbar muscle strength and stamina. Methods: The participants were 15 active athletes aged between 30 and 40 years with postural disorders. Some of the subjects have limitations in range of motion in the shoulders or hips. Subjects were tested using a bilateral arm lift test, a gravity-dependent inclinometer and a goniometer to assess thoracic spine flexion, and a 'Chest to Wall' test. Static endurance of the trunk muscles was assessed with the McGill test. Assessments were performed twice: before fascia manipulation and after 10 sessions. Conclusion: After myofascial release for the athletes, data increase was not significant. Yet myofascial release is effective way to increase mobility and increase joint range of motion. Keywords: myofascial release, mobility, myofascial manipulation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.008 | 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".