Sociodemographic Disparities in Self-Reported Stroke: A Cross-Sectional, Population-Based Analysis

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research aims to investigate how different social determinants of health affect the prevalence of self-reported strokes.
Cross-sectional survey design using data from the 2023 U.S. National Health Interview Survey.
Participants included adults over 18 years with self-reported stroke compared to non-stroke individuals.
Univariable and multivariable logistic regression analyses assessed the association between sociodemographic factors and stroke prevalence.
Out of 29,484 respondents, 1133 (3.84%) reported having a stroke.
Significant associations were found between self-reported stroke prevalence and age, particularly for those aged 36-49 years with an odds ratio of 6.60.

We only have this paper's title and publication details.

Cross-sectional analysis reveals significant sociodemographic influences on self-reported stroke prevalence, suggesting health disparities.

No takes yet. Share an insight, caveat, or question.

Dhivagaran et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Share