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Published on: December 1, 2017
Does socioeconomic status explain racial differences in urinary incontinence knowledge?
Kari Kubik1, Linda Blackwell, Michael Heit
1Department of Obstetrics, Gynecology, and Women's Health, University of Louisville HSC, Louisville, KY, USA.
Socioeconomic status (SES) explains racial differences in urinary incontinence knowledge among women. Addressing SES may enhance educational programs for incontinence.
Area of Science:
- Public Health
- Health Disparities
- Urology
Background:
- Urinary incontinence (UI) affects a significant portion of the female population.
- Existing research suggests potential disparities in UI knowledge across racial/ethnic groups.
- The role of socioeconomic status (SES) in these potential knowledge gaps requires further investigation.
Purpose of the Study:
- To determine if racial/ethnic groups exhibit differences in urinary incontinence knowledge.
- To investigate whether socioeconomic status (SES) accounts for any observed differences in UI knowledge between racial/ethnic groups.
Main Methods:
- A cross-sectional study involving telephone interviews with 212 women across three California counties.
- Urinary incontinence knowledge was assessed using a standardized Incontinence Quiz.
- Socioeconomic status (SES) was calculated, and participants were categorized by race/ethnicity (White vs. minority).
Main Results:
- White women demonstrated higher scores on the Incontinence Quiz compared to minority women (P=.071).
- A significant positive association was found between higher SES and greater UI knowledge (r=0.177, P=.010).
- Multivariable analysis indicated that SES mediated the previously observed trend toward racial/ethnic differences in UI knowledge.
Conclusions:
- Socioeconomic status (SES) is a key factor explaining racial/ethnic disparities in overall urinary incontinence knowledge.
- Integrating SES considerations into the design of urinary incontinence educational initiatives may improve their efficacy.
- Targeted interventions considering socioeconomic factors could help reduce knowledge gaps in UI management.
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