The Effect of Urinary Incontinence on Quality of Life of Women at Childbearing Age in Jeddah, Saudi Arabia
Bibliographic record
Abstract
To estimate the prevalence of urinary incontinence among women of childbearing age at Maternity and Children's Hospital (MCH), Jeddah, 2012, and to assess its impact on the quality of their life. A cross-sectional analytic approach was carried out among women of childbearing age seen at MCH, Jeddah. Systematic random sampling technique was followed. Each woman fulfilling the inclusion criteria was invited to enroled in the study, the inclusion criteria were women aged 15-50 years, agreed to participate in the study, the exclusion criteria were pregnant women and patients who are seriously ill. Self-administered questionnaire using the King's Health Questionnaire was utilized to measure Health Related Quality of Life (HRQOL) of patients with UI. Out of 1200 patients attending the gynecology clinic in the MCH, 412 (34.3%) were diagnosed as having UI. Their age ranged between 15 and 50 years with a mean of 34.3 ± 7.2 years. Almost 50% indicated that UI affected them badly as wife, mother, their emotions, and their physical and social activities. The most commonly occurring problems were frequent micturition (88.3%), nocturnal enuresis (87.9%). The least occurring, were kidney problems (38.6%) and dripping during sexual activities (40.8%). Increasing age and higher parity were significantly associated with limitations in different life domains. Urinary incontinence is common and often disturbing for Saudi women. It adversely impaired their quality of life.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".