The Effect of Pelvic Muscle Exercises on Urinary Incontinency and Self-Esteem of Elderly Females With Stress Urinary Incontinency, 2013
Bibliographic record
Abstract
INTRODUCTION: Millions of women are afflicted with stress urinary incontinence. Urinary incontinence is mentioned as one of the geriatric syndromes, together with pressure ulcers, functional decline, falls, and low self-esteem. The aim of the present study was to determine the effect of pelvic muscle exercises on urinary incontinency and self- esteem of elderly females with stress urinary incontinency in Shiraz, Iran, 2013. MATERIAL AND METHOD: In this interventional study, 50 old females aged 60-74 years were chosen among the members of Jahandidegan center, and they were asked to sign the informed consent form and complete the demographic questionnaire. Then, Quid questionnaire was used for choosing the type of incontinence in the elderly females. Next, the participants completed the ICIQ and self-esteem questionnaires. Then, they were randomly assigned to case and control groups. Each participant took part in 8 training classes. Finally, the subjects filled the ICIQ and self-esteem questionnaires before and 2 months after the intervention. RESULT: The results is shown that after the intervention, ICIQ score has a significant difference between the two groups (P=0.001). Also, after the treatment, self-esteem average scores of studied unit indicated a significant statistical difference in experimental group. In other words, the training sessions improved the score of self-esteem in the experimental group (P<0.001) versus control group (P=0.08). CONCLUSION: Pelvic muscle exercises were an empowerment mechanism for incontinent women in improving their quality of life and self-esteem, so recommended that such these exercising programs be used in elderly health care centers as a factor to improve health promotion of elderlies 'that are suffering from urinary incontinence.
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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".