Publications by authors named "Chufeng Jing"

Article Synopsis
  • The study explored how different fetal growth trajectories (FGTs) can predict early childhood development, reveal metabolic changes during pregnancy, and identify optimal and suboptimal growth patterns.
  • Six distinct FGTs were identified through machine learning, with a specific focus on the “early accelerating with late medium growth” pattern, which was linked to better outcomes in cognitive and respiratory health.
  • The research indicated that certain FGTs, particularly the early decelerating and late decelerating patterns, were associated with poorer development and health risks, suggesting that understanding FGTs could lead to early interventions for potential developmental issues.
View Article and Find Full Text PDF