Evidence map›Paper›PMID 41374522›Full record

ArticleSensors (Basel, Switzerland)2025

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

Raymond Hernandez, Stefan Schneider, Herman J de Vries, Jason Fanning, Dominic Ehrmann, Haomiao Jin, Raeanne C Moore, Shannon Juengst, Aaron Striegel, Jack P Ginsberg and 2 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Raymond HernandezCenter for Economic & Social Research, Center for Self-Report Science, University of Southern California, 635 Downey Way, Los Angeles, CA 90089, USA.ORCID 0000-0002-6761-9276
Stefan SchneiderCenter for Economic & Social Research, Center for Self-Report Science, University of Southern California, 635 Downey Way, Los Angeles, CA 90089, USA.ORCID 0000-0002-4562-0524
Herman J de VriesDepartment of Learning and Workforce Development, Netherlands Organisation for Applied Scientific Research (TNO), 2509 JE Soesterberg, The Netherlands.ORCID 0000-0003-1196-5062
Jason FanningDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, NC 27109, USA.ORCID 0000-0002-5527-1698
Dominic EhrmannDiabetes Research Institute of the Diabetes Academy Mergentheim, 97980 Bad Mergentheim, Germany.ORCID 0000-0002-5794-5596
Haomiao JinSchool of Health Sciences, University of Surrey, Guildford GU2 7YH, UK.
Raeanne C MooreDepartment of Psychiatry, University of California San Diego, San Diego, CA 92093, USA.
Shannon JuengstBrain Injury Research Center, TIRR Memorial Hermann, Houston, TX 77030, USA.ORCID 0000-0003-4709-545X
Aaron StriegelDepartment of Computer Science & Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Jack P GinsbergDepartment of Psychology, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-8375-2288
Norbert HermannsDiabetes Research Institute of the Diabetes Academy Mergentheim, 97980 Bad Mergentheim, Germany.
Arthur A StoneCenter for Economic & Social Research, Center for Self-Report Science, University of Southern California, 635 Downey Way, Los Angeles, CA 90089, USA.

Funding

Eunice Kennedy Shriver National Institute of Child Health and Human Development R03HD094445NIOSH CDC HHS 1K01OH012739NIOSH CDC HHS K01 OH012739
6 · The paper itself

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,

Indexed as

Heart RateWearable Electronic DevicesAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedRestSleepdigital biomarkerheart rate chest strapheart rate variabilityresting HRVsmartringsmartwatchwearables

Identifiers

PMID41374522
PMCPMC12693838

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.