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

Formative Evaluation of Digital Health Interventions (3281) Web-based and Mobile Health Interventions (4054) Medical Devices for the Elderly (24) Frailty Detection, Assessment and Prediction (65) Mobile Devices and Apps for Seniors and Healthy Aging (274) Wearable Devices and Sensors (1152)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63928, first published .
Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Authors of this article:

Jinyoung Shin1 Author Orcid Image ;   Hyuk Jung Kweon2 Author Orcid Image ;   Jaekyung Choi1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Kim H, Lee J. AI-based prediction of SPPB scores using questionnaires of abilities: findings from the national health and aging trends study. BMC Medical Informatics and Decision Making 2025;25(1) View
  2. Panagiotou G, Brage S. Advancing Precision Diagnosis of Sarcopenic Obesity Through Digital Technologies, Wearables and Omics Data. Life 2025;15(12):1911 View
  3. Kim E, Hong S, Kim D, Son Y, Gaugler J. Diagnostic accuracy of the SARC-CalF in community-dwelling older adults: a systematic review and meta-analysis. The Gerontologist 2025;65(12) View