Examining individual and contextual predictors of disability in Chinese older adults: A machine learning approach.

Journal: International journal of medical informatics
PMID: 39068893

Abstract

BACKGROUND: There is a large gap of understanding the determinants of disability, especially the contextual characteristics. Therefore, this study aimed to examine the important predictors of disability in Chinese older adults based on the social ecological framework.

Authors

  • Yafei Wu
    The State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Zirong Ye
    School of Public Health, Xiamen University, Xiamen, Fujian, China; Key Laboratory of Health Technology Assessment of Fujian Province, Xiamen University, Xiamen, Fujian, China.
  • Zongjie Wang
    School of Public Health, Xiamen University, Xiamen, Fujian, China; Key Laboratory of Health Technology Assessment of Fujian Province, Xiamen University, Xiamen, Fujian, China.
  • Siyu Duan
    School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, Fujian 361102, China; Key Laboratory of Health Technology Assessment of Fujian Province, Xiamen, Fujian, China.
  • Junmin Zhu
    School of Public Health, Xiamen University, Xiamen, Fujian, China; Key Laboratory of Health Technology Assessment of Fujian Province, Xiamen University, Xiamen, Fujian, China.
  • Ya Fang
    The State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.

Keywords

External Resources

Popular Topics
Recent Journals