Document Type

Article

Publication Date

8-2-2022

Comments

this article is the author's final published version in Journal of the American Heart Association, Volume 11, Issue 15, August 2022, Article number e024414.

The published version is available at https://doi.org/10.1161/JAHA.121.024414.

Copyright © 2022 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Abstract

Background Social and environmental factors play an important role in the rising health care burden of cardiovascular disease. The Centers for Disease Control and Prevention developed the Social Vulnerability Index (SVI) from US census data as a tool for public health officials to identify communities in need of support in the setting of a hazardous event. SVI (ranging from a least vulnerable score of 0 to a most vulnerable score of 1) ranks communities on 15 social factors including unemployment, minoritized groups status, and disability, and groups them under 4 broad themes: socioeconomic status, housing and transportation, minoritized groups, and household composition. We sought to assess the association of SVI with self-reported prevalent cardiovascular comorbidities and atherosclerotic cardiovascular disease (ASCVD). Methods and Results We performed a retrospective cohort analysis of adults (≥18 years) in the Behavioral Risk Factor Surveillance System 2016 to 2019. Data regarding self-reported prevalent cardiovascular comorbidities (including diabetes, hypertension, hyperlipidemia, smoking, substance use), and ASCVD was captured using participants' response to a structured telephonic interview. We divided states on the basis of the tertile of SVI (first-participant lives in the least vulnerable group of states, 0-0.32; to third-participant lives in the most vulnerable group of states, 0.54-1.0). Multivariable logistic regression models adjusting for age, race and ethnicity, sex, employment, income, health care coverage, and association with federal poverty line were constructed to assess the association of SVI with cardiovascular comorbidities. Our study sample consisted of 1 745 999 participants ≥18 years of age. States in the highest (third) tertile of social vulnerability had predominantly Black and Hispanic adults, lower levels of education, lower income, higher rates of unemployment, and higher rates of prevalent comorbidities including hypertension, diabetes, chronic kidney disease, hyperlipidemia, substance use, and ASCVD. In multivariable logistic regression models, individuals living in states in the third tertile of SVI had higher odds of having hypertension (odds ratio (OR), 1.14 [95% CI, 1.11-1.17]), diabetes (OR, 1.12 [95% CI, 1.09-1.15]), hyperlipidemia (OR, 1.09 [95% CI, 1.06-1.12]), chronic kidney disease (OR, 1.17 [95% CI, 1.12-1.23]), smoking (OR, 1.05 [95% CI, 1.03-1.07]), and ASCVD (OR, 1.15 [95% CI, 1.12-1.19]), compared with those living in the first tertile of SVI. Conclusions SVI varies across the US states and is associated with prevalent cardiovascular comorbidities and ASCVD, independent of age, race and ethnicity, sex, employment, income, and health care coverage. SVI may be a useful assessment tool for health policy makers and health systems researchers examining multilevel influences on cardiovascular-related health behaviors and identifying communities for targeted interventions pertaining to social determinants of health.

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This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Additional Files
jah37718-sup-0001-supplementary.pdf (168 kB)

Language

English

PubMed ID

35904206

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Cardiology Commons

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