Spatio-temporal distribution of influencing factors of cardiovascular disease in the United States.

ABSTRACT:

Introduction

Cardiovascular disease (CVD) is a major global health issue, contributing significantly to mortality and morbidity worldwide. The American Heart Association highlights primary prevention as a crucial strategy for mitigating the burden of CVD. This research aims to identify essential CVD drivers and support primary prevention efforts.

Methods

This study analyzed data on CVD incidence across 48 states in the United States (US) from 1991 to 2020, using data obtained from the Global Burden of Disease database. To investigate the spatial-temporal heterogeneity and drivers of CVD, we employed Global Moran's I, hot spot analysis, GeoDetector, and Geographically Weighted Neural Network Weighted Regression (GTNNWR).

Results

Global Moran's I analysis

SUBMITTER: Lou W 

PROVIDER: S-EPMC12460323 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature