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

Highlights: What are the main findings? Resting HRV as measured by consumer wearables either upon waking or while sleeping had small-to-moderate associations with more clinically oriented and trait-like (or slow-changing) health measures like average blood glucose, depressive symptoms, and sleep difficulty. Within one person, in one study we found that higher resting HRV was significantly associated with more recovery time from work, less mental exhaustion, and less alcohol consumption on the day prior; however, across studies, within-person correlations with prior-day general stress and mood measures were non-significant. What is the implication of the main findings? A myriad of HRV metrics can be computed from wearables, but resting HRV measured upon waking or while sleeping may deserve greater attention as a potential measure of general health 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, r = −0.21, p = 0.014), depressive symptoms (r = −0.22, p = 0.024), and sleep difficulty (r = −0.11, p = 0.003). Wearable-measured resting HRV can potentially serve as a health biomarker, but further research is needed. © 2025 by the authors.