Ontology highlight
ABSTRACT: Introduction
Cardiovascular disease (CVD) remains a primary cause of mortality worldwide, with persistent geographic disparities driven by a complex interplay of risk factors. Continual updates of localized variations in CVD mortality are essential to develop targeted interventions for optimizing disease and healthcare management.Methods
This study investigated associations between CVD mortality and a comprehensive set of biological, environmental, behavioral, and socioeconomic factors across all U.S. counties, employing correlation, geospatial visualization, stepwise multiple regression, and machine learning models to evaluate the importance of risk associations.Results
Significant disparities in CVD mortality trend were observed across race, age, sex, and region,
SUBMITTER: An DH
PROVIDER: S-EPMC12652022 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature