Prevalence and impact of urinary symptoms on quality of life during the last month of pregnancy
Bibliographic record
Abstract
Abstract Introduction Adaptations of the maternal organism can adversely affect the lower urinary tract, leading to urinary symptoms with impact in quality of life (QoL). Objective To determine the prevalence of urinary symptoms and the impact of urinary incontinence (UI) on QoL during the last month of pregnancy. Methods Retrospective cross-sectional study, envolving 96 women in the immediate postpartum period personally interviewed about urinary symptoms and QoL during their last four weeks of gestation. Women were divided into two groups according to the number of pregnancies: G1 = 1 pregnancy (n = 41) and G2 = ≥ 2 pregnancies (n = 55). Those who reported the presence of stress urinary incontinence (SUI) and/or urge incontinence (UUI) were also administered the International Consultation on Incontinence Questionnaire - Short Form (ICIQ-SF). Results The most common symptoms were nocturia (90.6%), urgency (82.3%), urinary frequency (71.9%) feeling of incomplete emptying (62.5%) and SUI and/or UUI (53.1%) with no differences between groups. Only the complaint of SUI in cough was significantly higher in G2 (p = 0.04). There was no difference on QoL between groups based on ICIQ-SF scores among those with UI (53.1%), however G1 reported serious impact and G2 very serious impact. Conclusion Almost all women reported some type of urinary symptom and the most prevalent were nocturia, urgency, pollakiuria, feeling of incomplete emptying and SUI and/or UUI. SUI was more prevalent among women with two or more pregnancies and during cough were significantly higher. Regardless of the number of pregnancies, the presence any type of UI had a negative impact on QoL.
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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 | 0.003 |
| 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) | 0.002 | 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".