Urban-rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models.

Journal: Frontiers in public health
Published Date: May 15, 2025

Abstract

BACKGROUND: Falls among older adults are a significant challenge to global healthy aging. Identifying key factors and differences in fall risks, along with developing predictive models, is essential for differentiated and precise interventions in China's urban and rural older populations.

Authors

  • LiHan Lin
    College of Physical Education, Huaqiao University, Quanzhou, China.
  • Xiaoyang Liu
    School of Computer Science & Technology, Jiangsu Normal University, Xuzhou 221116, China. Electronic address: liuxiaoyang1979@gmail.com.
  • CaiHua Cai
    College of Physical Education, Huaqiao University, Quanzhou, China.
  • YiKun Zheng
    College of Physical Education, Huaqiao University, Quanzhou, China.
  • Delong Li
    Department of Cardiology, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, China.
  • GuoPeng Hu
    College of Physical Education, Huaqiao University, Quanzhou, China.

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