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

This study identified associations between novel rhythm and heart rate metrics calculated from the step count and heart rate recorded by Fitbit devices and social frailty. These findings suggest that consumer-grade wearable devices, which are low cost and accessible, hold promise as tools for evaluating social frailty and its risk factors through enabling the calculation of digital biomarkers. Future research should include larger sample sizes and focus on the clinical applications of these findings.

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Publication Details

Journal
JMIR Formative Research
Published
2025-05-25
DOI
https://doi.org/10.2196/71393
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Yu Kume, Hiroki Maekawa
JMIR Formative Research
Frailty in Older Adults
article

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

Yu Kume, Hiroki Maekawa
article en

Abstract

This study identified associations between novel rhythm and heart rate metrics calculated from the step count and heart rate recorded by Fitbit devices and social frailty. These findings suggest that consumer-grade wearable devices, which are low cost and accessible, hold promise as tools for evaluating social frailty and its risk factors through enabling the calculation of digital biomarkers. Future research should include larger sample sizes and focus on the clinical applications of these findings.

JMIR Formative ResearchVol. 9
Tohoku Fukushi University (JP), Akita University (JP)
Openalex Percentile: Top 87%
Frailty in Older Adults
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