Abstract P2009: Education, Income, and Long-Term Risks of Cardiovascular Disease in the U.S. Population from 2011-2020
Abstract
Background: The American Heart Association Predicting Risk of Cardiovascular Disease Events (PREVENT) equations estimate long-term cardiovascular disease (CVD) risk. The distribution of total CVD risk in the U.S. population across different education and income levels based on the PREVENT equations is currently unknown. Methods: Using the PREVENT base model equations and data on adults aged 30-79 years from the 2011-2020 National Health and Nutrition Examination Survey, we determined age-standardized and survey-weighted risk of CVD based on education and income. Those with existing CVD were excluded from PREVENT model calculations. Results: The study population included 12,852 participants, representing 160.6 million U.S. adults (mean age 51.8 [SD 13.3] years). Overall, adults with lower education and income were more likely to have intermediate to high 10-year risk (≥7.5%) of CVD, particularly those <65 years of age (Table). The prevalence of existing CVD among those with a high school (HS) diploma/GED or below, some college degree, or a college graduate or above education was 12.5%, 9.6%, and 6.3%, respectively. The prevalence of CVD-free U.S. adults with intermediate or high (≥7.5%) predicted 10-year risk of CVD was 21.6% for HS diploma/GED or below, 21.1% for some college degree, and 17.8% for college graduate or above education. Among U.S. adults with low, middle, or high income, the prevalence of existing CVD was 15.7%, 11.1%, and 6.4%, respectively. The prevalence of CVD-free U.S. adults with intermediate or high predicted 10-year risk of CVD was 23.4% for low income, 21.2% for middle income, and 18.6% for high income. Conclusions: U.S. adults who have not graduated from college and those with low or middle income had higher long-term risks of total CVD, with the disparities becoming apparent as early as 30-44 years old. Public health efforts should prioritize reducing these disparities early in life to improve cardiovascular outcomes in vulnerable populations.
Article Details
Authors (7)
Devesh Malik
Yale University School of Medicine, New Haven, Connecticut, United States
Mohammed Essa
Richard A. and Susan F. Smith Center for Outcomes Research, Boston, Massachusetts, United States
Kamil Faridi
Yale School of Medicine, New Haven, Connecticut, United States
Huanhuan Yang
School of Bioengineering, Qilu University of Technology (Shandong Academy of Sciences)
Erica Spatz
Harlan Krumholz
Yale School of Medicine, New Haven, Connecticut, United States
Yuan Lu