| Literature DB >> 35383034 |
Natalie V Scime1, Erin Hetherington1, Amy Metcalfe1, Kathleen H Chaput1, Sandra M Dumanski1, Cynthia H Seow1, Erin A Brennand2.
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.Entities:
Mesh:
Year: 2022 PMID: 35383034 PMCID: PMC9259416 DOI: 10.9778/cmajo.20210147
Source DB: PubMed Journal: CMAJ Open ISSN: 2291-0026
Figure 1:Selection of Canadian Community Health Survey 2013–2014 respondents for this analysis.
Characteristics of Canadian females aged 25 years and older stratified by self-report of 1 or more chronic conditions*
| Characteristic | Prevalence, % | Standardized difference | |
|---|---|---|---|
| No chronic condition (unweighted | ≥ 1 chronic condition (unweighted | ||
| Age, yr | |||
| 25–34 | 28.2 | 7.9 | 0.55 |
| 35–44 | 26.4 | 10.5 | 0.42 |
| 45–54 | 22.3 | 18.2 | 0.10 |
| 55–64 | 14.3 | 24.6 | 0.26 |
| 65–74 | 6.2 | 21.3 | 0.45 |
| ≥ 75 | 2.6 | 17.5 | 0.51 |
| BMI | |||
| Underweight (< 18) | 4.3 | 2.6 | 0.09 |
| Normal (18–24.9) | 57.1 | 37.8 | 0.39 |
| Overweight (25–29.9) | 25.8 | 32.9 | 0.16 |
| Obese (≥ 30) | 12.8 | 26.7 | 0.35 |
| Income quintile | |||
| 1 (lowest) | 26.4 | 25.3 | 0.02 |
| 2 | 20.0 | 23.4 | 0.08 |
| 3 | 20.8 | 19.2 | 0.04 |
| 4 | 22.5 | 17.7 | 0.12 |
| 5 (highest) | 10.3 | 14.4 | 0.12 |
| Ethnicity | |||
| White | 73.3 | 82.7 | 0.23 |
| Visible minority | 26.7 | 17.3 | |
| Smoking | |||
| None | 84.2 | 82.9 | 0.04 |
| Occasional (less than daily) | 4.2 | 2.7 | 0.08 |
| Daily | 11.6 | 14.4 | 0.08 |
Note: BMI = body mass index.
Estimates are weighted to represent the Canadian household population.
A standardized difference ≥ 0.1 indicates a meaningful difference between the groups.
Visible minority was defined by Statistics Canada on the basis of self-reported cultural and racial origin.
Figure 2:Prevalence of chronic conditions in Canadian females aged 25 years and older. Diabetes includes both type 1 or type 2, and bowel disorder includes both IBD and IBS; some individuals with these conditions did not specify their type of disease. Estimates are weighted to represent the Canadian household population. Note: COPD = chronic obstructive pulmonary disease, IBD = inflammatory bowel disease (Crohn disease or ulcerative colitis), IBS = irritable bowel syndrome.
Association between chronic conditions and urinary incontinence in Canadian females aged 25 years and older*
| Variable | Prevalence of urinary incontinence, % | Adjusted OR (95% CI) | ||
|---|---|---|---|---|
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| Unexposed | Exposed | Conventional | MICE + PBA | |
| ≥ 1 chronic condition | 2.1 | 10.0 | 2.42 (2.02–2.89) | 2.14 (1.79–2.57) |
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| ≥ 2 chronic conditions | 3.4 | 14.5 | 2.10 (1.82–2.42) | 1.88 (1.63–2.19) |
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| Diabetes | 5.1 | 13.4 | 1.20 (1.02–1.41) | 1.17 (0.99–1.39) |
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| Type 1 diabetes | 5.7 | 4.1 | 1.03 (0.40–2.62) | 1.00 (0.41–2.44) |
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| Type 2 diabetes | 5.2 | 13.4 | 1.17 (0.99–1.38) | 1.11 (0.93–1.32) |
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| Bowel disorder | 4.9 | 15.6 | 2.92 (2.44–3.49) | 2.81 (2.36–3.37) |
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| IBD | 5.6 | 14.8 | 3.11 (1.82–5.33) | 2.55 (1.51–4.33) |
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| IBS | 5.3 | 13.6 | 2.80 (2.27–3.46) | 2.51 (2.03–3.12) |
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| Arthritis | 3.5 | 12.9 | 1.98 (1.74–2.24) | 1.70 (1.48–1.96) |
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| Asthma | 5.3 | 10.2 | 1.82 (1.52–2.19) | 1.61 (1.34–1.94) |
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| COPD | 5.2 | 18.6 | 2.00 (1.63–2.45) | 1.81 (1.48–2.23) |
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| Heart disease | 5.1 | 18.0 | 1.73 (1.48–2.02) | 1.59 (1.35–1.88) |
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| High blood pressure | 4.1 | 11.7 | 1.27 (1.12–1.44) | 1.11 (0.97–1.28) |
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| Cancer | 5.6 | 8.6 | 0.90 (0.69–1.16) | 0.80 (0.62–1.02) |
Note: CI = confidence interval, COPD = chronic obstructive pulmonary disease, IBD = inflammatory bowel disease, IBS = irritable bowel syndrome, MICE = multiple imputation with chained equations, OR = odds ratio, PBA = probabilistic bias analysis.
Estimates are weighted to represent the Canadian household population.
Conventional refers to complete case analysis, adjusted for age, body mass index category, income quintile, ethnicity and smoking status. MICE + PBA refers to the use of multiple imputation and Monte Carlo simulations to adjust for unmeasured confounder parity.