This paper is in the following e-collection/theme issue:

Precision Medicine (166) Hypertension Prevention and Treatment (303) Innovations and Technology for Physical Activity Education (941) Machine Learning (2121) mHealth for Data Collection and Research (1212) Fitness Trackers and Smart Pedometers/Accelerometers (679)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78492, first published .
Physical Activity Recommendations Tailored by a Predictive Model for Adults With High Blood Pressure: Observational Study

Physical Activity Recommendations Tailored by a Predictive Model for Adults With High Blood Pressure: Observational Study

Physical Activity Recommendations Tailored by a Predictive Model for Adults With High Blood Pressure: Observational Study

Authors of this article:

Yuhui Yang1 Author Orcid Image ;   Manqing Chen1 Author Orcid Image ;   Weiwei Hu1 Author Orcid Image ;   Yifan Fu1 Author Orcid Image ;   Xingyan Li1 Author Orcid Image ;   Zhenli Liao1 Author Orcid Image ;   Hongman Feng1 Author Orcid Image ;   Yaling Zhao1 Author Orcid Image ;   Leilei Pei1 Author Orcid Image ;   Baibing Mi1 Author Orcid Image ;   Fangyao Chen1, 2 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Yuhui Yang   1 , PhD ;   Manqing Chen   1 , MS ;   Weiwei Hu   1 , PhD ;   Yifan Fu   1 , MS ;   Xingyan Li   1 , MS ;   Zhenli Liao   1 , MS ;   Hongman Feng   1 , MS ;   Yaling Zhao   1 , PhD ;   Leilei Pei   1 , PhD ;   Baibing Mi   1 * , PhD ;   Fangyao Chen   1, 2 * , PhD

1 Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi'an, Shaanxi, China

2 Department of Radiology, First Affiliate Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China

*these authors contributed equally

Corresponding Author:

  • Fangyao Chen, PhD
  • Department of Epidemiology and Biostatistics, School of Public Health
  • Xi’an Jiaotong University Health Science Center
  • 76 Yanta Xilu Road
  • Xi'an, Shaanxi 710061
  • China
  • Phone: 86 13772075793
  • Email: chenfy@xjtu.edu.cn