Comprehensive Cross-Sectional Study of the Triglyceride Glucose Index, Organophosphate Pesticide Exposure, and Cardiovascular Diseases: A Machine Learning Integrated Approach

Comprehensive Cross-Sectional Study of the Triglyceride Glucose Index, Organophosphate Pesticide Exposure, and Cardiovascular Diseases: A Machine Learning Integrated Approach

Using NHANES data from 2003 to 2008, 2011 to 2012, and 2015 to 2020, we examined the relationship between urinary organophosphate pesticide (OPP) metabolites and the triglyceride glucose (TyG) index. The TyG index evaluates insulin resistance, a crucial factor in metabolic diseases. Linear regressio...

Full description

Saved in:
Bibliographic Details
Main Authors: Xuehai Wang, Mengxin Tian, Zengxu Shen, Kai Tian, Yue Fei, Yulan Cheng, Jialing Ruan, Siyi Mo, Jingjing Dai, Weiyi Xia, Mengna Jiang, Xinyuan Zhao, Jinfeng Zhu, Jing Xiao
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Toxics
Subjects:
TyG index
machine learning
network toxicology analysis
organophosphorus pesticides
Online Access:https://www.mdpi.com/2305-6304/13/2/118
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items