Evidence map›Paper›PMID 32374274›Full record

ArticleJMIR mHealth and uHealth2020

Wrist-Worn Wearables for Monitoring Heart Rate and Energy Expenditure While Sitting or Performing Light-to-Vigorous Physical Activity: Validation Study.

Peter Düking, Laura Giessing, Marie Ottilie Frenkel, Karsten Koehler, Hans-Christer Holmberg, Billy Sperlich

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06953648 (Remotely Monitored, Mobile Health-supported, High Intensity Interval Training Before Hematopoietic Stem Cell Transplantation), which is not on this map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
–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.

NCT06953648 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Remotely Monitored, Mobile Health-supported, High Intensity Interval Training Before Hematopoietic Stem Cell Transplantation (REMM-HIIT-HCT)

TypeinterventionalSponsorUniversity of Kansas Medical CenterRan2025 to 2030Enrolled126ConditionsHematopoietic Stem Cell Transplantation, Cardiorespiratory FitnessArmsHigh Intensity Interval Training
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

6 authors.

Peter Düking *Integrative and Experimental Exercise Science, Department of Sport Science, University of Würzburg, Würzburg, Germany.ORCID 0000-0003-0277-9858
Laura Giessing *Department of Sport Psychology, Institute for Sport and Sport Sciences, Heidelberg University, Heidelberg, Germany.ORCID 0000-0003-3637-1439
Marie Ottilie Frenkel *Department of Sport Psychology, Institute for Sport and Sport Sciences, Heidelberg University, Heidelberg, Germany.ORCID 0000-0003-0646-2612
Karsten Koehler *Department of Sport and Health Science, Technical University of Munich, Munich, Germany.ORCID 0000-0002-9618-2069
Hans-Christer Holmberg *Department of Health Sciences, Mid Sweden University, Östersund, Sweden.ORCID 0000-0002-3814-6246
Billy Sperlich *Integrative and Experimental Exercise Science, Department of Sport Science, University of Würzburg, Würzburg, Germany.ORCID 0000-0003-4686-8561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity reduces the incidences of noncommunicable diseases, obesity, and mortality, but an inactive lifestyle is becoming increasingly common. Innovative approaches to monitor and promote physical activity are warranted. While individual monitoring of physical activity aids in the design of effective interventions to enhance physical activity, a basic prerequisite is that the monitoring devices exhibit high validity.

objectiveOur goal was to assess the validity of monitoring heart rate (HR) and energy expenditure (EE) while sitting or performing light-to-vigorous physical activity with 4 popular wrist-worn wearables (Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa).

methodsWhile wearing the 4 different wearables, 25 individuals performed 5 minutes each of sitting, walking, and running at different velocities (ie, 1.1 m/s, 1.9 m/s, 2.7 m/s, 3.6 m/s, and 4.1 m/s), as well as intermittent sprints. HR and EE were compared to common criterion measures: Polar-H7 chest belt for HR and indirect calorimetry for EE.

resultsWhile monitoring HR at different exercise intensities, the standardized typical errors of the estimates were 0.09-0.62, 0.13-0.88, 0.62-1.24, and 0.47-1.94 for the Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, respectively. Depending on exercise intensity, the corresponding coefficients of variation were 0.9%-4.3%, 2.2%-6.7%, 2.9%-9.2%, and 4.1%-19.1%, respectively, for the 4 wearables. While monitoring EE at different exercise intensities, the standardized typical errors of the estimates were 0.34-1.84, 0.32-1.33, 0.46-4.86, and 0.41-1.65 for the Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, respectively. Depending on exercise intensity, the corresponding coefficients of variation were 13.5%-27.1%, 16.3%-28.0%, 15.9%-34.5%, and 8.0%-32.3%, respectively.

conclusionsThe Apple Watch Series 4 provides the highest validity (ie, smallest error rates) when measuring HR while sitting or performing light-to-vigorous physical activity, followed by the Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, in that order. The Apple Watch Series 4 and Polar Vantage V are suitable for valid HR measurements at the intensities tested, but HR data provided by the Garmin Fenix 5 and Fitbit Versa should be interpreted with caution due to higher error rates at certain intensities. None of the 4 wrist-worn wearables should be employed to monitor EE at the intensities and durations tested.

Indexed as

Fitness TrackersWristEnergy MetabolismExerciseHeart RateHumanscardiorespiratory fitnessdigital healthinnovationsmartwatchtechnologywearable

Identifiers

PMID32374274
PMCPMC7240439

What OpenQuestion holds

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Registered trials

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.