Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network.

Pablo Molina-Garcia, Hannah L Notbohm, Moritz Schumann, Rob Argent, Megan Hetherington-Rauth, Julie Stang, Wilhelm Bloch, Sulin Cheng, Ulf Ekelund, Luis B Sardinha, Brian Caulfield, Jan Christian Brønd, Anders Grøntved, Francisco B Ortega

July 2022

Synopsis of Social media discussions

The collective discussions reveal a nuanced perception of the publication, with several posts highlighting that exercise-based algorithms are more accurate but still imperfect, using words like 'optimum,' 'still need improvement,' and 'error.' The tone varies from cautious optimism to critical skepticism, especially when mentioning device performance and practicality, demonstrating engaged and thoughtful discourse about the research's significance.

A
Agreement
 Moderate agreement

Most discussions acknowledge the mixed accuracy of consumer wearables, recognizing that exercise-based algorithms generally perform better, which aligns with the study's findings.

I
Interest
 High level of interest

Posts demonstrate high curiosity, with users expressing interest in the technical details and implications, such as mentions of validation methods and device accuracy.

E
Engagement
 High engagement

Several posts delve into methodological considerations and interpret research results, indicating deep engagement with the content.

I
Impact
 Moderate level of impact

The discussions suggest that users see this research as relevant to both sports and health contexts, though they generally view its impact as moderate, emphasizing the need for further improvement.

Social Mentions

YouTube

2 Videos

Twitter

40 Posts

Blogs

2 Articles

News

10 Articles

Metrics

Video Views

7,328

Total Likes

175

Extended Reach

118,580

Social Features

54

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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Wearable Technology in Running: Measuring and Improving Performance

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2,724 views

  • Mathieu Norry
    @Mathieunorry (Twitter)

    @mikussdog @josephluria @Paddy_Barrett https://t.co/538YSpE0tT
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    March 8, 2024

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  • Johan Neve
    @jfneve (Twitter)

    @altini_marco The algoritmes get better but i still have my doubts. it could be that your running economy is improved and not your vo2max. https://t.co/fjVzrM3EGx
    view full post

    September 19, 2022

  • Fat Fighting
    @FatFightingClub (Twitter)

    เช่นเคย งานนีไม่ใช่บอกว่าเฮ้ย มันไม่แม่นเลย อย่าใช้เลย มันใช้ได้แหละ แค่ดูว่าค่า error ของมันที่เขาศึกษาเนี่ย มันอยู่ในช่วงที่เรารับได้รึเปล่า https://t.co/oyxM3qCYGR
    view full post

    February 9, 2022

    2

  • Luisma
    @lmagallego (Twitter)

    RT @GDellaMattia: La estimación basada en el ejercicio parece ser óptima para medir el VO2máx a nivel poblacional, sin embargo, el error de…
    view full post

    February 9, 2022

    1

  • Eng² Gabriel Della Mattia
    @GDellaMattia (Twitter)

    La estimación basada en el ejercicio parece ser óptima para medir el VO2máx a nivel poblacional, sin embargo, el error de estimación a nivel individual es grande y, por lo tanto, para fines deportivos/clínicos estos métodos todavía necesitan mejorar.https://t.co/DEChfGvpY5
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    February 9, 2022

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  • Robb!e
    @RobbieG_PhD (Twitter)

    Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis… https://t.co/Tan9jag4HW
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    February 9, 2022

  • GPS-HRN
    @gps_hrn (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 9, 2022

    15

  • Luisa Fernanda Puerta López
    @LuisaPuertaNQH (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 9, 2022

    15

  • Jani Vaara
    @JaniVaara (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 9, 2022

    15

  • Oyesanmi (Ph.D)
    @Sormaytion (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 9, 2022

    15

  • Wouter Franssen
    @FranssenWouter_ (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 9, 2022

    15

  • Alejandro Viedma
    @ViedmaAlejandro (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 9, 2022

    15

  • Wilhelm Beermann
    @WilhelmBeermann (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 9, 2022

    15

  • J Garcia ⚪
    @GabrielGarGal (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 9, 2022

    15

  • ¡Elige Moverte!
    @EligeMoverte (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 8, 2022

    15

  • Raul
    @RaulM06 (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 8, 2022

    15

  • Andres Felipe
    @Anferupu (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 8, 2022

    15

  • Rod FK
    @RodFK01 (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 8, 2022

    15

  • Artur Negro Vilardell
    @arturnegro (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 8, 2022

    15

  • Dale Esliger
    @DaleEsliger (Twitter)

    RT @DanielBerglind: Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those…
    view full post

    February 8, 2022

    15

  • Daniel Berglind, PhD
    @DanielBerglind (Twitter)

    Meta-analysis: estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those based on resting conditions: https://t.co/YhalGWzmsY
    view full post

    February 8, 2022

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    15

  • Nutr Reviews
    @NutrReview (Twitter)

    Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network https://t.co/QIFNe57F2Y
    view full post

    January 30, 2022

  • Nutr Reviews
    @NutrReview (Twitter)

    Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network https://t.co/pdam2AELud
    view full post

    January 29, 2022

  • Nutr Reviews
    @NutrReview (Twitter)

    Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network https://t.co/0RODkZg2Jr
    view full post

    January 28, 2022

  • Jérémy gouillon
    @jeremygouillon (Twitter)

    RT @pauloed_pereira: Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis an…
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    January 27, 2022

    4


  • @mehdiakos (Twitter)

    RT @pauloed_pereira: Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis an…
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    January 27, 2022

    4

  • Jose
    @Jose_8523 (Twitter)

    RT @pauloed_pereira: Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis an…
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    January 27, 2022

    4

  • Wagner Prado
    @wagnerprado7 (Twitter)

    RT @pauloed_pereira: Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis an…
    view full post

    January 27, 2022

    4

  • Nutr Reviews
    @NutrReview (Twitter)

    Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network https://t.co/MTY76bq430
    view full post

    January 27, 2022

  • Paulo Pereira, Ph.D
    @paulopereiraPhD (Twitter)

    Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network https://t.co/7SqbiJSAOs
    view full post

    January 26, 2022

    16

    4

  • Miguel Ángel Galán-Rioja
    @magalanrioja (Twitter)

    An interesting review and meta-analysis on the validity and estimation of VO2max in wearable consumers. https://t.co/vHhpA0CgoZ
    view full post

    January 26, 2022

    6

  • V0running
    @v0running (Twitter)

    RT @Moritz_Schumann: New from our INTERLIVE-network (https://t.co/SNmcG0tvYQ): How accurate are estimations of VO2max by wearables? What sh…
    view full post

    January 25, 2022

    5

  • Inaki bestetraining
    @InakiSedano (Twitter)

    RT @Moritz_Schumann: New from our INTERLIVE-network (https://t.co/SNmcG0tvYQ): How accurate are estimations of VO2max by wearables? What sh…
    view full post

    January 25, 2022

    5

  • Vern Gambetta
    @coachgambetta (Twitter)

    RT @Moritz_Schumann: New from our INTERLIVE-network (https://t.co/SNmcG0tvYQ): How accurate are estimations of VO2max by wearables? What sh…
    view full post

    January 25, 2022

    5

  • Sprint Science
    @spikesonly (Twitter)

    RT @Moritz_Schumann: New from our INTERLIVE-network (https://t.co/SNmcG0tvYQ): How accurate are estimations of VO2max by wearables? What sh…
    view full post

    January 25, 2022

    5

  • Eduardo De Souza PhD
    @DrDeSouzaEO (Twitter)

    RT @Moritz_Schumann: New from our INTERLIVE-network (https://t.co/SNmcG0tvYQ): How accurate are estimations of VO2max by wearables? What sh…
    view full post

    January 25, 2022

    5

  • SystematicReviewBot
    @EvidenceRobot (Twitter)

    RT @Mattjones0203: Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and…
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    January 24, 2022

    1

  • Matt Jones
    @Mattjones0203 (Twitter)

    Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network https://t.co/OXidY0hDkW
    view full post

    January 24, 2022

    1

  • Moritz Schumann
    @Moritz_Schumann (Twitter)

    New from our INTERLIVE-network (https://t.co/SNmcG0tvYQ): How accurate are estimations of VO2max by wearables? What should be considered when validating these devices? See the paper here OA: https://t.co/Txgl0cPnj5 @PabloMolinaG5 @ortegaporcel
    view full post

    January 24, 2022

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  • Francisco B. Ortega
    @ortegaporcel (Twitter)

    try this link for open access: https://t.co/B6GPzgxDny
    view full post

    January 24, 2022

    5

Abstract Synopsis

  • This study reviews the accuracy of consumer wearables in estimating maximal oxygen consumption (VO), finding that those using exercise-based algorithms are generally more accurate than resting-condition devices.
  • The researchers conducted a systematic review and meta-analysis of 14 validation studies, revealing that devices relying on resting data tend to significantly overestimate VO, while exercise-based devices have lower errors.
  • Based on their findings and expert input, the INTERLIVE Network recommends six key areas—such as population, testing conditions, and data analysis—for validating wearable VO measurements to improve future standards.