Integration of an interpretable machine learning algorithm to identify early life risk factors of childhood obesity among preterm infants: a prospective birth cohort.

Journal: BMC medicine
Published Date: Jul 10, 2020

Abstract

BACKGROUND: The early life risk factors of childhood obesity among preterm infants are unclear and little is known about the influence of the feeding practices. We aimed to identify early life risk factors for childhood overweight/obesity among preterm infants and to determine feeding practices that could modify the identified risk factors.

Authors

  • Yuanqing Fu
    Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China.
  • Wanglong Gou
    Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China.
  • Wensheng Hu
    Department of Obstetrics and Gynecology, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
  • Yingying Mao
    Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
  • Yunyi Tian
    Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China.
  • Xinxiu Liang
    Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China.
  • Yuhong Guan
    Jiaxing University Affiliated Women and Children Hospital, Jiaxing, China.
  • Tao Huang
    The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Kelei Li
    Institute of Nutrition and Health, Qingdao University, 308 Ningxia Road, Qingdao, China.
  • Xiaofei Guo
    Institute of Nutrition and Health, Qingdao University, 308 Ningxia Road, Qingdao, China.
  • Huijuan Liu
    Jiaxing University Affiliated Women and Children Hospital, Jiaxing, China. 405877931@qq.com.
  • Duo Li
    Department of Pharmaceutical Analysis, China Pharmaceutical University, 24 Tongjiaxiang, Nanjing, 210009, China; Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education, China Pharmaceutical University, 24 Tongjiaxiang, Nanjing, 210009, China.
  • Ju-Sheng Zheng
    Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China. zhengjusheng@westlake.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals