Effects of neonicotinoid pesticide exposure in the first trimester on gestational diabetes mellitus based on interpretable machine learning.

Journal: Environmental research
PMID: 39986418

Abstract

BACKGROUND: Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications and seriously threatens the health of mothers and offspring. Neonicotinoids (NEOs) is a new class of pesticide and widely used worldwide. Prenatal NEOs exposure had negative effects on fetal growth, but the potential effect of NEOs exposure on pregnancy complications remain unclear.

Authors

  • Dongxiang Pan
    Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
  • Lihong Zhou
    School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Changhui Mu
    Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
  • Mengrui Lin
    Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
  • Yonghong Sheng
    Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
  • Yang Xu
    Dermatological Department, Nan Chong Center Hospital, Nanchong, China.
  • Dongping Huang
    Department of Hematology, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
  • Shun Liu
    Department of Child and Adolescent Health & Maternal and Child Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
  • Xiaoyun Zeng
    Guilin Medical University, Guilin, 541001, Guangxi, China.
  • Virasakdi Chongsuvivatwong
    Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hatyai, Songkhla, 90110, Thailand. Electronic address: cvirasak@medicine.psu.ac.th.
  • Xiaoqiang Qiu
    Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China; China(Guangxi)-ASEAN Engineering Research Center of Big Data for Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. Electronic address: xqqiu9999@163.com.

Keywords

External Resources

Popular Topics
Recent Journals