Network analysis of adverse childhood experiences and cardiovascular diseases.

ABSTRACT:

Significance

The findings to date indicate that adverse childhood experiences (ACEs) increase the risk of cardiovascular disease (CVD) in later life. We demonstrate how network analysis, a statistical method that estimates complex patterns of associations between variables, can be used to model ACEs and CVD. The main goal is to explore the differential impacts of ACE components on CVD outcomes, conditioned on other ACEs and important covariates using network analysis. We also sought to determine which ACEs are most synergistically correlated and subsequently cluster together to affect CVD risk.

Methods

Our analysis was based on cross-sectional data from the 2020 Behavioral Risk Factor Surveillance System, which included 31,242 adults aged 55 or older (54.6% women, 79.8% whit

SUBMITTER: Lee C 

PROVIDER: S-EPMC9947418 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature