EFFECT OF SEGMENTAL STABILIZATION EXERCISE ALONG WITH SACROILIAC JOINT MOBILIZATION ON LOW BACK PAIN AMONG ROLLER SKATERS
Bibliographic record
Abstract
OBJECTIVE: To study the effectiveness of Segmental Stabilizing Exercises along with Sacroiliac Joint Mobilization on LBP among roller skaters. METHODOLOGY: The study design was a pilot study. 15 samples were conveniently selected for the study. Population between the ages of 12 to 20 years roller skaters were enrolled in the survey. Segmental Stabilization exercise along with Sacroiliac Joint Mobilization were given to the subjects. They were assessed by using outcome measure like QBPS and MODI. RESULTS: Data analysis was done by using a paired ‘t’ test for within the group. The results of the study shows that Segmental Stabilization along with Sacroiliac Joint Mobilization were effective in reducing LBP and disability among roller skaters (p <0.001). CONCLUSION: This study concluded that 6 weeks of Segmental Stabilization exercise along with Sacroiliac Joint Mobilization had a positive result in reducing LBP and disability among roller skaters, as measured by the QBPDS and MODI. As a result, the null hypothesis is rejected. Keywords: Anterior innominate, Posterior innominate, Quebec Back Pain Disability Scale (QBPDS) Questionnaire, Modified Oswestry Disability Index (MODI) Questionnaire.
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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) | 0.003 | 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".