The Relationship Between Sexual Activity and Urinary Incontinence in Older Women
Bibliographic record
Abstract
OBJECTIVES: To determine whether continence status is associated with sexual activity in older women. DESIGN: Cross-sectional postal survey. SETTING: Random selection from a list of respondents to a Canada Post survey. PARTICIPANTS: Community-dwelling women aged 55 to 95. MEASUREMENTS: The International Consultation on Incontinence Questionnaire Short Form measured the presence, severity, and type of incontinence. Sexual activity and marital status were assessed using single close-ended questions. The Medical Outcomes Study 12-item Short-Form Health Survey was used to query physical and mental health status. RESULTS: Data from 2,361 women (mean age 71) were available for analysis. Thirty-nine percent reported urinary incontinence (UI), and 27% were sexually active. UI was associated with sexual activity in crude logistic analyses (odds ratio (OR)=0.82, 95% confidence interval (CI)=0.68-0.98) but not in multivariate models adjusted for physical and mental health. Marital status and age were the strongest predictors of sexual activity (OR 8.94, 95% CI=6.89-11.60 for married women; OR=3.09, 95% CI=2.57-3.73 for age <or=70), with significant relationships also observed with physical and mental health (OR=1.04, 95% CI=1.03-1.04 and OR=1.02, 95% CI=1.01-1.04, respectively). Frequency of UI was not related to being sexually active, although greater amounts of urine loss, stress incontinence, and nocturnal incontinence were independently associated with sexual activity (OR=0.53, 95% CI=0.33-0.85; OR=1.40 95% CI=1.01-1.94; and OR=0.24, 95% CI=0.10-0.61, respectively). CONCLUSION: Many older women remain sexually active as they age regardless of continence status. Caution should be exercised in interpreting intervention studies aimed at improving sexual function in incontinent older women if marital status and physical and mental health are not considered.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".