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American Heart Association

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Final ID: P2009

Education, Income, and Long-Term Risks of Cardiovascular Disease in the U.S. Population from 2011-2020

Abstract Body: 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.
  • Malik, Devesh  ( Yale University School of Medicine , New Haven , Connecticut , United States )
  • Essa, Mohammed  ( Harvard T.H. Chan School of Public Health , Boston , Massachusetts , United States )
  • Faridi, Kamil  ( Yale University School of Medicine , New Haven , Connecticut , United States )
  • Yang, Huanhuan  ( Yale University School of Medicine , New Haven , Connecticut , United States )
  • Spatz, Erica  ( Yale University School of Medicine , New Haven , Connecticut , United States )
  • Krumholz, Harlan  ( Yale University School of Medicine , New Haven , Connecticut , United States )
  • Lu, Yuan  ( Yale University School of Medicine , New Haven , Connecticut , United States )
  • Author Disclosures:
    Devesh Malik: DO NOT have relevant financial relationships | Mohammed Essa: No Answer | Kamil Faridi: No Answer | Huanhuan Yang: No Answer | Erica Spatz: DO NOT have relevant financial relationships | Harlan Krumholz: No Answer | Yuan Lu: No Answer
Meeting Info:
Session Info:

PS02.01 Cardiometabolic Risk Prediction 1

Friday, 03/07/2025 , 05:00PM - 07:00PM

Poster Session

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