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Association Between Social Vulnerability Index and Cardiovascular Disease: A Behavioral Risk Factor Surveillance System Study

Authors :
Jain, Vardhmaan
Al Rifai, Mahmoud
Khan, Safi U
Kalra, Ankur
Rodriguez, Fatima
Samad, Zainab
Pokharel, Yashashwi
Misra, Arunima
Sperling, Laurence S
Rana, Jamal S
Ullah, Waqas
Medhekar, Ankit
Virani, Salim S
Jain, Vardhmaan
Al Rifai, Mahmoud
Khan, Safi U
Kalra, Ankur
Rodriguez, Fatima
Samad, Zainab
Pokharel, Yashashwi
Misra, Arunima
Sperling, Laurence S
Rana, Jamal S
Ullah, Waqas
Medhekar, Ankit
Virani, Salim S
Source :
Division of Cardiology Faculty Papers
Publication Year :
2022

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, diabe

Details

Database :
OAIster
Journal :
Division of Cardiology Faculty Papers
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1349522999
Document Type :
Electronic Resource