Abstract 16752: Cumulative Social Determinant of Health Risk Score and Prevalent Atherosclerotic CVD Among National Representative Adult Population in US

Abstract

Introduction: Social determinants of health (SDOH) are contextual factors and shared experiences that impact an individual’s life and health. Unfavorable SDOH are recognized as a major source of excess cardiovascular disease (CVD) risk; however, prior studies have focused on restricted sets of SDOH domains. We aimed to assess the burden of multiple unfavorable SDOH at the population level, and the association between increasing cumulative burden of unfavorable SDOH features and atherosclerotic CVD (ASCVD) prevalence. Methods: Using a nationally-representative sample of 164,696 adults from the National Health Interview Survey (2013-17) we identified 39 parameters (classified as favorable or unfavorable) from the Healthy People 2020SDOH domains: Economic stability, Education, Food access, Neighborhood conditions, Social context, Health systems. An aggregate score of these features ranging 0-36 was then divided into quartiles-- the most unfavorable scores in the highest quartile. ASCVD was ascertained via self-report. Results: 15,758 individuals (8%), representing ~19.6 million Americans, had ASCVD and were more likely to experience economic instability, adverse neighborhood and social cohesion, psychologic distress, food scarcity, and significant cost and non-cost-related healthcare barriers than those without ASCVD. The age adjusted mean (SD) SDOH risk score among ASCVD vs non-ASCVD participants was 12.5 (0.13) vs 0.9 (0.03) respectively. We observed a graded increase in ASCVD prevalence with higher SDOH quartiles (Figure). In multivariate analyses, adults with highest SDOH scores had 2-fold higher odds of having ASCVD compared to those with lowest scores (Figure). Conclusions: In the US, aggregate SDOH risk significantly discriminate risk of prevalent ASCVD among US adults. Standardized SDOH risk scores have the potential to inform risk stratification models at the individual level for addressing avoidable social inequities in health status.