Evidence map›Paper›PMID 29296281›Full record

ArticleBMC sports science, medicine & rehabilitation2017

Validity of sports watches when estimating energy expenditure during running.

Lilian Roos, Wolfgang Taube, Nadja Beeler, Thomas Wyss

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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.

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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Wearable activity trackers-advanced technology or advanced marketing?European journal of applied physiology · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Connected model to optimize performance.Frontiers in sports and active living · 2022
    Article
  14. Article
  15. Article
  16. Review of Validity and Reliability of Garmin Activity Trackers.Journal for the measurement of physical behaviour · 2020
    Article
  17. Review
  18. Validity of Wrist-Worn Activity Trackers for Estimating VOInternational journal of environmental research and public health · 2019
    Article
  19. Article
  20. Article
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

4 authors.

Lilian RoosSection for Elite Sport, Swiss Federal Institute of Sport Magglingen SFISM, Hauptstrasse 247, 2532 Magglingen, Switzerland.ORCID 0000-0001-7442-0751
Wolfgang TaubeDepartment of Medicine, Movement and Sport Science, University of Fribourg, Boulevard de Pérolles 90, 1700 Fribourg, Switzerland.
Nadja BeelerSection for Elite Sport, Swiss Federal Institute of Sport Magglingen SFISM, Hauptstrasse 247, 2532 Magglingen, Switzerland.
Thomas WyssSection for Elite Sport, Swiss Federal Institute of Sport Magglingen SFISM, Hauptstrasse 247, 2532 Magglingen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to assess the accuracy of three different sport watches in estimating energy expenditure during aerobic and anaerobic running.

methodsTwenty trained subjects ran at different intensities while wearing three commercial sport watches (Suunto Ambit2, Garmin Forerunner920XT, and Polar V800). Indirect calorimetry was used as the criterion measure for assessing energy expenditure. Different formulas were applied to compute energy expenditure from the gas exchange values for aerobic and anaerobic running.

resultsThe accuracy of the energy expenditure estimations was intensity-dependent for all tested watches. During aerobic running (4-11 km/h), mean absolute percentage error values of -25.16% to +38.09% were observed, with the Polar V800 performing most accurately (stage 1: -12.20%, stage 2: -3.61%, and stage 3: -4.29%). The Garmin Forerunner920XT significantly underestimated energy expenditure during the slowest stage (stage 1: -25.16%), whereas, the Suunto Ambit2 significantly overestimated energy expenditure during the two slowest stages (stage 1: 38.09%, stage 2: 36.29%). During anaerobic running (14-17 km/h), all three watches significantly underestimated energy expenditure by -21.62% to -49.30%. Therefore, the error in estimating energy expenditure systematically increased as the anaerobic running speed increased.

conclusionsTo estimate energy expenditure during aerobic running, the Polar V800 is recommended. By contrast, the other two watches either significantly overestimated or underestimated energy expenditure during most running intensities. The energy expenditure estimations generated during anaerobic exercises revealed large measurement errors in all tested sport watches. Therefore, the algorithms for estimating energy expenditure during intense activities must be improved before they can be used to monitor energy expenditure during high-intensity physical activities.

Indexed as

High-intensityMaximal accumulated oxygen deficitMonitoring trainingValidationWearables

Identifiers

PMID29296281
PMCPMC5738849

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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.