Prevalence and Risk Factors for Urinary Incontinence in Nulliparous Women: A Contemporary, Population-Based Cohort Study
Bibliographic record
Abstract
IMPORTANCE AND OBJECTIVES: Epidemiologic studies of incontinence largely focus on parous women, and there are limited data regarding nulliparous women. Our objectives were to evaluate risk factors for urinary incontinence among a nationally representative, contemporary sample of nulliparous women of all ages in the United States and to describe the prevalence and subtypes of urinary incontinence and nocturia in this population. STUDY DESIGN: This cross-sectional, population-based study used the National Health and Nutrition Examination Survey cycles 2011-2018 to assemble a sample of nulliparous women 20-80 years old. Crude and adjusted odds ratios were estimated using multivariable logistic regression for the exposures of interest: body mass index (BMI), age, physical activity, prior hysterectomy, and current smoking. Prevalence of urinary incontinence and nocturia were estimated. RESULTS: Among 1,603 nulliparous women, prevalence of any urinary incontinence was 29.38%. Prevalence of stress, urgency, and mixed urinary incontinence and nocturia, respectively, were 27.68%, 19.64%, 10.57%, and 58.95%. Women with a BMI ≥25 (calculated as weight in kilograms divided by height in meters squared; adjusted odds ratio [aOR], 1.57; 95% confidence interval [CI], 1.11-2.23), at least 45 years (aOR, 3.75; 95% CI, 2.31-5.83), and current smoking (aOR, 1.63; 95% CI, 1.07-2.49) had increased the odds of incontinence compared with women without these risk factors. When stress urinary incontinence (SUI) was considered alone, only women with a BMI ≥25 (aOR, 1.66; 95% CI, 1.20-2.31) and age at least 45 years (aOR, 3.17; 95% CI, 2.01-5.00) had increased odds of SUI compared with women without these risk factors. CONCLUSIONS: Urinary incontinence and nocturia are prevalent in nulliparous women, and age, elevated BMI, and current smoking may represent risk factors for incontinence in this population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".