Associations between per- and polyfluoroalkyl chemicals and abdominal aortic calcification in middle-aged and older adults.

ABSTRACT:

Introduction

Per- and polyfluoroalkyl substances (PFAS) have infiltrated countless everyday products, raising concerns about potential effects on human health, specifically on the cardiovascular system and the development of abdominal aortic calcification (AAC). However, our understanding of this relationship is still limited.

Objectives

This study aims to investigate the effects of PFAS on AAC using machine learning algorithms.

Methods

Leveraging the power of machine learning technique, extreme gradient boosting (XGBoost), we assessed the relationship between PFAS exposure and AAC risk. We focused on three PFAS compounds, perfluorodecanoic acid (PFDeA), perfluorohexane sulfonic acid (PFHxS), and perfluorononanoic acid (PFNA) through multiple logistic regression, rest

SUBMITTER: Yang J 

PROVIDER: S-EPMC11976567 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature