The effect of exercise therapy on pain, disability and endurance of trunk flexor-extensor muscles in women with chronic idiopathic low back pain
Bibliographic record
Abstract
Background: Exercise is a widely prescribed treatment for chronic low back pain. The purpose of the present study was to investigate the effect of 8 weeks exercise on pain, disability and endurance of trunk flexor-extensor muscles in female with chronic idiopathic low back pain. Methods: This clinical trial study has been done on 12 patients who referred to the Arak city clinics. The function of trunk flexor-extensor muscles in cases was compared to function of 18 normal females. We use the Quebec pain questionnaire, Oswerstry disability questionnaire and Sorenson and Sit-Up tests. Exercise therapy was performed in three 45 minute’s sessions per week. Each session was performed in 3 set. Exercises were repeated 8-12 point in each set. The data was analyzed using t-test. Results: Endurance of trunk flexor-extensor muscles of patients was significantly lower than normal subjects (P<0.05). Endurance of trunk flexor-extensor muscles of patients significantly improved after exercise therapy (P<0.05). Low back pain of patients was decreased significantly after treatment ((P<0.05). In addition, significant reduction of disability observed after exercise therapy (P<0.05). Conclusion: Exercise therapy may increase endurance of trunk flexor-extensor muscles in women with chronic idiopathic low back pain. In addition, it can reduce law back pain and disability in this population.
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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) | 0.001 | 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".