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Published on: August 18, 2015
Sociodemographic disparities in self-reported stroke: A cross-sectional, population-based analysis
Thanansayan Dhivagaran1, Umaima Abbas1, Fahad Butt1
1Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada.
Stroke disproportionately affects certain sociodemographic groups, highlighting disparities in health outcomes. Understanding these social determinants of health is crucial for targeted interventions and reducing stroke prevalence.
Area of Science:
- Public Health
- Epidemiology
- Health Disparities
Background:
- Stroke is a leading global cause of death and disability.
- Existing research lacks comprehensive analysis of how multiple social determinants of health (SDOH) influence stroke presentation.
Purpose of the Study:
- To examine the association between various social determinants of health (SDOH) and the prevalence of self-reported stroke.
- To identify sociodemographic groups disproportionately affected by stroke.
Main Methods:
- Cross-sectional, population-based analysis using the 2023 U.S. National Health Interview Survey data.
- Comparison of adult participants with self-reported stroke versus those without.
- Univariable and multivariable logistic regression to assess SDOH associations with stroke prevalence.
Main Results:
- Self-reported stroke prevalence was significantly associated with age, race/ethnicity (American Indian), region (Midwest, South), income, insurance status, regular place of care, and general health status (fair/poor).
- Older age groups, lower income, and fair/poor general health showed significantly higher odds of stroke.
- Having insurance and a regular place of care were associated with lower stroke prevalence.
Conclusions:
- The study reveals a disproportionate burden of stroke across specific sociodemographic strata.
- Findings underscore the need for further research into the mechanisms driving observed stroke disparities.
- Interventions addressing SDOH are critical for mitigating stroke's impact on vulnerable populations.
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