The Effect of 8 Weeks of Dynamic Neuromuscular Stabilization Training on Pain, Electromyography Activity of Lumbar Muscles, and Quality of Life in People with Chronic Low Back Pain
Bibliographic record
Abstract
Objectives: To evaluate the effects of an 8-week DNS training program on pain, EMG activity, and quality of life in individuals with CLBP. Design: Semi-experimental study. Participants: Thirty male participants with non-specific CLBP, divided into DNS (n=15) and control (n=15) groups. Main Outcome Measures: Pain levels (Quebec Back Pain Disability Scale), lumbar muscle EMG activity (MegaWin EMG device), and quality of life (SF-36 questionnaire). Results: The DNS group showed significant pain reduction (P=0.00), increased EMG activity in rectus abdominis (P=0.000), erector spinae (P=0.002), and gluteus maximus (P=0.002), and improved quality of life (P=0.02). Conclusions: DNS exercises significantly reduce pain, enhance muscle activity, and improve quality of life in CLBP patients
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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 | 0.001 |
| 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".