The association between PM components and blood pressure changes in late pregnancy: A combined analysis of traditional and machine learning models.

Journal: Environmental research
Published Date: Apr 3, 2024

Abstract

BACKGROUND: PM is a harmful mixture of various chemical components that pose a challenge in determining their individual and combined health effects due to multicollinearity issues with traditional linear regression models. This study aimed to develop an analytical methodology combining traditional and novel machine learning models to evaluate PM's combined effects on blood pressure (BP) and identify the most toxic components.

Authors

  • Lijie Wang
    Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Li Wen
  • Jianling Shen
    Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Yi Wang
    Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Qiannan Wei
    Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Wenjie He
    Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Xueting Liu
    Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Peiyao Chen
    Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Yan Jin
    Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN 46285, USA.
  • Dingli Yue
    Guangdong Ecological and Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou, 510308, China.
  • Yuhong Zhai
    Guangdong Ecological and Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou, 510308, China.
  • Huiying Mai
    Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Jiangmen, 529700, China.
  • Xiaoling Zeng
    Institute of Toxicology, Facutly of Military Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China.
  • Qiansheng Hu
    Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China. Electronic address: huqsh@mail.sysu.edu.cn.
  • Weiwei Lin
    Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, Drug Discovery Institute, Departments of Computational Biology and Structural Biology, School of Medicine , University of Pittsburgh , Pittsburgh , Pennsylvania 15261 , United States.

Keywords

External Resources

Popular Topics
Recent Journals