Effectiveness of Pilates and Paula Method for Stress Urinary Incontinence Among Obese Postmenopausal Women-An Experimental Study
Bibliographic record
Abstract
Background of the Study: Stress Urinary incontinence is an involuntary urinary leakage on effort, exertion, sneezing or coughing due to failure of sphincter .UI is an important social problem that affects more than 50% of postmenopausal women. Objective of the Study: To determine the effectiveness of Paula method on Pelvic floor muscle strength among Obese postmenopausal women with SUI and to evaluate the effectiveness of Pilates on weight reduction among Obese postmenopausal women with SUI. Methodology: This experimental study consists of 30 obese women (40-65 years) diagnosed with SUI. They were randomly allocated into two groups. Group 1 (experimental group) 15 was given Paula method of exercises along with Pilates and Group 2(control group) 15 was given Paula method of exercises alone for 3 sessions per week for total duration of 6 weeks. Both the groups were measured with Anthropometric measurements and M-ISIQ before and after the study. Results: The subjects who were supervised to attend all sessions were shown a difference in their BMI of average of 2.412 kgm-2 and reduction in their body fat% of average 2.672 % & M-ISIQ of average of 4.0666. Conclusion: From this study it was concluded that Pilates and Paula method are effective in weight reduction and reduced the symptoms of SUI. Keywords Obesity-Pilates-Paula method-post maturity-fat mas
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".