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

Development and Evaluation of Research Methods, Instruments and Tools (744) Digital Biomarkers and Digital Phenotyping (284) Wearable Devices and Sensors (1133) Aging with Chronic Disease (177) Ubiquitous Health (uHealth) (134) Quantified Self and Wellness (113) New Methods (1134) Cardiology (224)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71393, first published .
Predicting Social Frailty in Older Adults Using Fitbit-Derived Circadian and Heart Rate Biomarkers: Cross-Sectional Study

Predicting Social Frailty in Older Adults Using Fitbit-Derived Circadian and Heart Rate Biomarkers: Cross-Sectional Study

Predicting Social Frailty in Older Adults Using Fitbit-Derived Circadian and Heart Rate Biomarkers: Cross-Sectional Study

Authors of this article:

Hiroki Maekawa1, 2 Author Orcid Image ;   Yu Kume3 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Hiroki Maekawa   1, 2 * , MSRS ;   Yu Kume   3 * , PhD

1 Department of Rehabilitation, Faculty of Health Sciences, Tohoku Fukushi University, Sendai, Japan

2 Doctoral Course of Health Sciences, Graduate School of Medicine, Akita University, Akita, Japan

3 Department of Health Sciences, Graduate School of Medicine, Akita University, Akita, Japan

*all authors contributed equally

Corresponding Author:

  • Hiroki Maekawa, MSRS
  • Department of Rehabilitation
  • Faculty of Health Sciences
  • Tohoku Fukushi University
  • 6-149-1, Kunimigaoka
  • Aoba-ku
  • Sendai 989-3201
  • Japan
  • Phone: 81 22 728 6030
  • Email: h-maekawa@tfu.ac.jp