Evidence map›Paper›PMID 41268189›Full record

ArticleDigital health

Agreement between Fitbit Versa 4 and a reference standard on time-domain nocturnal heart rate variability: A pilot study.

Andrew Nasr, Khosrow Behbehani, Jijia Wang, Christopher Pierson, Robin B Jarrett, Tracy Greer, Jason Zafereo

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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

7 authors.

Andrew NasrSchool of Physical Therapy, Texas Women University, Denton, TX, USA.ORCID https://orcid.org/0000-0001-9954-753X
Khosrow BehbehaniBioengineering Department, The University of Texas at Arlington, Arlington, TX, USA.ORCID https://orcid.org/0000-0001-5204-4230
Jijia WangSchool of Health Professions, The University of Texas Southwestern Medical Center Dallas, Dallas, TX, USA.
Christopher PiersonJohn Sealy School of Medicine, The University of Texas Medical Branch, Galveston, TX, USA.ORCID https://orcid.org/0000-0002-1671-5276
Robin B JarrettDepartment of Psychiatry, The University of Texas Southwestern Medical Center Dallas, Dallas, TX, USA.ORCID https://orcid.org/0000-0002-3634-0387
Tracy GreerDepartment of Psychology, The University of Texas at Arlington, Arlington, TX, USA.
Jason ZafereoSchool of Health Professions, Departments of Physical Therapy and Orthopedic Surgery, The University of Texas Southwestern Medical Center Dallas, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reduced heart rate variability (HRV) has been associated with impaired autonomic nervous system (ANS) adaptation, suggesting that HRV could serve as a biomarker for identifying ANS imbalances that may adversely affect an individual's overall health. Many wearable devices used outside medical settings provide measures of HRV, but clinimetric data on their reliability and agreement remain limited. The primary aim of this study was to assess the ability of the Fitbit Versa 4, a consumer-based wearable, to measure nocturnal HRV compared to a reference standard HRV measure obtained from an ambulatory ECG device, the Firstbeat Bodyguard 3. Methods: Eight participants simultaneously wore the Fitbit Versa 4 and Firstbeat Bodyguard 3 beginning at least one hour before sleep, throughout their sleep period, and for at least one hour after waking, over a minimum of three nights. HRV was quantified using the root mean square of successive differences (RMSSD). A t-test assessed differences in median HRV between devices, while a Linear Mixed Model and Bland-Altman analysis evaluated relative difference and agreement, respectively. Results: The median RMSSD from Fitbit (21.660 ms [15.927, 22.821]) was not significantly different ( Conclusions: Strong correlation and acceptable agreement between Fitbit Versa 4 HRV measurements and reference standard HRV measurements derived from ECG provide preliminary support for using Fitbit Versa 4 to measure nocturnal HRV outside laboratory settings.

Indexed as

autonomic nervous systemchronic painHeart rate variabilitysleepwearable technology

Identifiers

PMID41268189
PMCPMC12627369

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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 OpenQuestion graph.