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Associations of commonly used medications with urinary incontinence in a community based sample
Susan A Hall1, May Yang, Margaret A Gates
1New England Research Institutes, Watertown, Massachusetts 02472, USA.
Purpose:
We examined the association between the use of medications and the prevalence of urinary incontinence in gender specific analyses of a community based, representative sample.
Materials And Methods:
A population based epidemiological study was conducted of 5,503 men and women 30 to 79 years old residing in Boston, Massachusetts (baseline data collected from 2002 to 2005). Urological symptoms were ascertained in a 2-hour, in person interview. Urinary incontinence was defined as urine leakage occurring weekly or more often during the last year. Medications used in the last month were considered current use. Associations of 20+ medications and prevalent urinary incontinence were examined using multivariate logistic regression (ORs and 95% CIs) with adjustments for known urinary incontinence risk factors.
Results:
The prevalence of urinary incontinence in the analysis sample was 9.0% in women and 4.6% in men. For women the prevalence was highest among users of certain antihistamines (28.4%) and angiotensin II receptor blockers (22.9%). For men the prevalence was highest among angiotensin II receptor blocker (22.2%) and loop diuretic (19.1%) users. After final multivariate adjustment there were significant positive associations for certain antihistamines, beta receptor agonists, angiotensin II receptor blockers and estrogens with urinary incontinence in women (all ORs greater than 1.7), and a borderline significant association for anticonvulsants (OR 1.75; 95% CI 1.00, 3.07). Among men only anticonvulsants were associated with urinary incontinence after final adjustments (OR 2.50; 95% CI 1.24, 5.03), although angiotensin II receptor blockers showed an adjusted association of borderline significance (OR 2.21; 95% CI 0.96, 5.10).
Conclusions:
Although a cross-sectional analysis cannot determine causality, our analysis suggests certain medications should be further examined in longitudinal analyses of risk to determine their influence on urological symptoms.
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