Resting Heart Rate Variability Measured by Consumer Wearables and Its Associations with Diverse Health Domains in Five Longitudinal Studies

Heart rate variability (HRV) is widely recognized as an indicator of general health, particularly time domain measures like the root mean square of successive differences (RMSSD) between consecutive heartbeats. Consumer wearables measuring HRV have potential for wide accessibility meaning that their broad use to capture HRV as a health biomarker is possible. Our objective was to investigate the validity of HRV measured by wearables as a general health indicator. We examined whether resting HRV assessed by wearables across five studies-two using smartwatches, two using heart rate chest straps, and one using a smartring-exhibited expected associations with diverse health domains, including mental, physical, behavioral, functional, and physiological. We focused on resting HRV measures recorded while in primarily stationary conditions, either upon waking or while sleeping, because such measures would theoretically reduce the effects of potential confounders such as movement artifacts, daytime caffeine intake, and postural changes. Wearables measured resting HRV had small-to-moderate associations with more clinically oriented and trait-like (or slow-changing) health measures like Hba1c (average blood glucose, <i>r</i> = -0.21, <i>p</i> = 0.014), depressive symptoms (<i>r</i> = -0.22, <i>p</i> = 0.024), and sleep difficulty (<i>r</i> = -0.11, <i>p</i> = 0.003). Wearable-measured resting HRV can potentially serve as a health biomarker, but further research is needed.

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Journal
Sensors
Published
2025-11-22
DOI
https://doi.org/10.3390/s25237147
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
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article

Resting Heart Rate Variability Measured by Consumer Wearables and Its Associations with Diverse Health Domains in Five Longitudinal Studies

J. P. Ginsberg, Shannon B. Juengst, Haomiao Jin, Jason T. Fanning et al.
Sensors
Heart Rate Variability and Autonomic Control
article

Resting Heart Rate Variability Measured by Consumer Wearables and Its Associations with Diverse Health Domains in Five Longitudinal Studies

J. P. Ginsberg, Shannon B. Juengst, Haomiao Jin, Jason T. Fanning, Arthur A. Stone, Aaron Striegel, Dominic Ehrmann, Raeanne Cristine Moore, Herman de Vries, Norbert Hermanns, Raymond Hernandez, Stefan Schneider
article en

Abstract

Heart rate variability (HRV) is widely recognized as an indicator of general health, particularly time domain measures like the root mean square of successive differences (RMSSD) between consecutive heartbeats. Consumer wearables measuring HRV have potential for wide accessibility meaning that their broad use to capture HRV as a health biomarker is possible. Our objective was to investigate the validity of HRV measured by wearables as a general health indicator. We examined whether resting HRV assessed by wearables across five studies-two using smartwatches, two using heart rate chest straps, and one using a smartring-exhibited expected associations with diverse health domains, including mental, physical, behavioral, functional, and physiological. We focused on resting HRV measures recorded while in primarily stationary conditions, either upon waking or while sleeping, because such measures would theoretically reduce the effects of potential confounders such as movement artifacts, daytime caffeine intake, and postural changes. Wearables measured resting HRV had small-to-moderate associations with more clinically oriented and trait-like (or slow-changing) health measures like Hba1c (average blood glucose, <i>r</i> = -0.21, <i>p</i> = 0.014), depressive symptoms (<i>r</i> = -0.22, <i>p</i> = 0.024), and sleep difficulty (<i>r</i> = -0.11, <i>p</i> = 0.003). Wearable-measured resting HRV can potentially serve as a health biomarker, but further research is needed.

SensorsVol. 25(23)
University of Notre Dame (US), University of Southern California (US), Memorial Hermann Institute for Rehabilitation and Research Foundation (US), Netherlands Organisation for Applied Scientific Research (NL), Saybrook University (US), German Diabetes Center Mergentheim (DE), University of Surrey (GB), University of California San Diego (US), Southwestern Medical Center (US), Wake Forest University (US), The University of Texas Southwestern Medical Center (US), University of Bamberg (DE)
Openalex Percentile: Top 47%
Heart Rate Variability and Autonomic Control
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