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

mHealth for Screening (450) Clinical Informatics (2197) mHealth for Data Collection and Research (1700) Machine Learning (3107) Mobile Devices and Apps for Seniors and Healthy Aging (396) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (110) Digital Pain Assessment and Management (318)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92466, first published .
Elderly woman doing a squat exercise while following a fitness app on her phone.

Smartphone-Based Physical Performance and Multidimensional Determinants of Self-Reported Knee Pain in Community-Dwelling Older Adults: Cross-Sectional Machine Learning and Network Analysis Study

Smartphone-Based Physical Performance and Multidimensional Determinants of Self-Reported Knee Pain in Community-Dwelling Older Adults: Cross-Sectional Machine Learning and Network Analysis Study

Authors of this article:

Ui-jae Hwang1 Author Orcid Image ;   Peng Xia1 Author Orcid Image ;   Tianxiang Fan1 Author Orcid Image ;   Arnold YL Wong1 Author Orcid Image ;   Oh-yun Kwon2 Author Orcid Image ;   Siu-ngor Fu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ui-jae Hwang   1 , PhD ;   Peng Xia   1 , PhD ;   Tianxiang Fan   1 , MS ;   Arnold YL Wong   1 , PhD ;   Oh-yun Kwon   2 , PhD ;   Siu-ngor Fu   1 , PhD

1 Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

2 Department of Physical Therapy, Yonsei University, Wonju-si, Republic of Korea

Corresponding Author:

  • Ui-jae Hwang, PhD
  • Department of Rehabilitation Sciences
  • Hong Kong Polytechnic University
  • 11 Yuk Choi Road, Hung Hom, Kowloon
  • Hong Kong
  • China (Hong Kong)
  • Phone: (+852) 60580339
  • Email: uj.hwang@polyu.edu.hk