Abstract TP187: Contemporary Estimates Of Poor Cardiovascular Health Among Individuals With Stroke: Nationwide Analysis Of The American Heart Association’s Simple 7

Abstract

Introduction: The American Heart Association’s (AHA) “Simple 7” are lifestyle behaviors for maintenance of ideal cardiovascular health (CVH). Methods: We analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data (nationally representative, annual, health-related survey of community dwelling US adults), and flagged individuals with a stroke diagnosis. Among stroke individuals (SI), we identified validated CVH features (diabetes, hypertension, BMI ≥ 25 kg/m 2 , hypercholesterolemia, smoking, poor eating habits, and lack of exercise) based on AHA’s simple 7. SI with ≥ 5 CVH features were categorized as ‘Poor CVH’ (PCVH). We evaluated socio-demographic, regional and healthcare utilization factors associated with PCVH. We fit survey design logistic regression models, and report nationally representative estimates as adjusted Odds Ratios (aOR) and 95% confidence intervals (CI). Results: The 2019 estimated national count of SI is 8,570,876 translating into a nationwide stroke prevalence of 3.4% among US adults (7.9% among ≥ 65 years). SI who were divorced/separated (vs. married), non-Hispanic Black or Native American (vs. Non-Hispanic White - NHW), had lower income, resided in the stroke belt had higher likelihood of PCVH. In our adjusted model (Figure), males had a significantly higher PCVH aOR (CI) 1.26 (1.00 - 1.59). Moreover, Asian American and Pacific Islanders vs. NHW demonstrated higher PCVH, aOR (CI) 4.74 (1.25 - 17.95). Compared to the New England region, residence in following divisions was associated with higher PCVH; aOR (CI) for West South-Central: 1.73 (1.05 -2.85), East North Central: 1.64 (1.11 - 2.43), East South Central: 2.29 (1.37 - 3.83), South Atlantic: 1.74 (1.18 - 2.57). Analyses for 2020 BRFSS data will be presented. Conclusion: National stroke prevalence rates are provided. Poor CVH among stroke individuals continues to be disparately high. These analyses are important to identify and target high-risk population sub-groups.