Association between chronic conditions and urinary incontinence in females: a cross-sectional study using national survey data
Bibliographic record
Abstract
BACKGROUND: Urinary incontinence affects up to half of women, yet few speak to their health care provider about or receive treatment for the condition. To aid with identifying subpopulations at risk for urinary incontinence, we examined the associations between 10 chronic health conditions and urinary incontinence among Canadian adult females. METHODS: We conducted a cross-sectional analysis of survey data from the Canadian Community Health Survey (2013-2014) involving female respondents aged 25 years or older living in a private dwelling. Presence of chronic conditions and urinary incontinence were measured by self-report. We used logistic regression modelling with sampling weights, controlling for age, income, ethnicity, body mass index and smoking. Multiple imputation and probabilistic bias analysis were used to address missing covariate data and unmeasured confounding from parity. RESULTS: Our analysis included 60 186 respondents representing more than 12 million Canadian females, of whom 45.8% (95% confidence interval [CI] 45.0%-46.6%) reported at least 1 chronic condition. Chronic conditions were associated with more than twice the odds of urinary incontinence (adjusted odds ratio [OR] 2.42, 95% CI 2.02-2.89). Associations were largest for bowel disorders (adjusted OR 2.92, 95% CI 2.44-3.49); modest for chronic obstructive pulmonary disease (adjusted OR 2.00, 95% CI 1.63-2.45), asthma (adjusted OR 1.82, 95% CI 1.52-2.19), arthritis (adjusted OR 1.98, 95% CI 1.74-2.24) and heart disease (adjusted OR 1.73, 95% CI 1.48-2.02); and smallest for diabetes (adjusted OR 1.20, 95% CI 1.02-1.41) and high blood pressure (adjusted OR 1.27, 95% CI 1.12-1.44). Results slightly attenuated but did not substantively change after imputation and bias analysis. INTERPRETATION: We found that chronic conditions are associated with significantly higher odds of comorbid urinary incontinence among Canadian adult females, which is consistent with previous research. Our findings support routine inquiry regarding urinary incontinence symptoms among women accessing health care for chronic conditions.
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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 | 0.002 | 0.000 |
| 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 | 0.001 |
| 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".