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dc.contributor.authorMolina-Garcia, Pablo
dc.contributor.authorNotbohm, Hannah L.
dc.contributor.authorSchumann, Moritz
dc.contributor.authorArgent, Rob
dc.contributor.authorHetherington-Rauth, Megan
dc.contributor.authorStang, Julie
dc.contributor.authorBloch, Wilhelm
dc.contributor.authorCheng, Sulin
dc.contributor.authorEkelund, Ulf
dc.contributor.authorSardinha, Luis B.
dc.contributor.authorCaulfield, Brian
dc.contributor.authorBrønd, Jan Christian
dc.contributor.authorGrøntved, Anders
dc.contributor.authorOrtega, Francisco B.
dc.date.accessioned2023-10-24T08:35:37Z
dc.date.available2023-10-24T08:35:37Z
dc.date.issued2022
dc.identifier.citationMolina-Garcia, P., Notbohm, H. L., Schumann, M., Argent, R., Hetherington-Rauth, M., Stang, J., Bloch, W., Cheng, S., Ekelund, U., Sardinha, L. B., Caulfield, B., Brønd, J. C., Grøntved, A., & Ortega, F. B. (2022). Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables : A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network. <i>Sports Medicine</i>, <i>52</i>, 1577-1597. <a href="https://doi.org/10.1007/s40279-021-01639-y" target="_blank">https://doi.org/10.1007/s40279-021-01639-y</a>
dc.identifier.otherCONVID_193468212
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/90590
dc.description.abstractBackground Technological advances have recently made possible the estimation of maximal oxygen consumption (VO2max) by consumer wearables. However, the validity of such estimations has not been systematically summarized using meta-analytic methods and there are no standards guiding the validation protocols. Objective The aim was to (1) quantitatively summarize previous studies investigating the validity of the VO2max estimated by consumer wearables and (2) provide best-practice recommendations for future validation studies. Methods First, we conducted a systematic review and meta-analysis of studies validating the estimation of VO2max by wearables. Second, based on the state of knowledge (derived from the systematic review) combined with the expert discussion between the members of the Towards Intelligent Health and Well-Being Network of Physical Activity Assessment (INTERLIVE) consortium, we provided a set of best-practice recommendations for validation protocols. Results Fourteen validation studies were included in the systematic review and meta-analysis. Meta-analysis results revealed that wearables using resting condition information in their algorithms significantly overestimated VO2max (bias 2.17 ml·kg−1·min−1; limits of agreement − 13.07 to 17.41 ml·kg−1·min−1), while devices using exercise-based information in their algorithms showed a lower systematic and random error (bias − 0.09 ml·kg−1·min−1; limits of agreement − 9.92 to 9.74 ml·kg−1·min−1). The INTERLIVE consortium proposed six key domains to be considered for validating wearable devices estimating VO2max, concerning the following: the target population, reference standard, index measure, testing conditions, data processing, and statistical analysis. Conclusions Our meta-analysis suggests that the estimations of VO2max by wearables that use exercise-based algorithms provide higher accuracy than those based on resting conditions. The exercise-based estimation seems to be optimal for measuring VO2max at the population level, yet the estimation error at the individual level is large, and, therefore, for sport/clinical purposes these methods still need improvement. The INTERLIVE network hereby provides best-practice recommendations to be used in future protocols to move towards a more accurate, transparent and comparable validation of VO2max derived from wearables. PROSPERO ID CRD42021246192.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesSports Medicine
dc.rightsCC BY 4.0
dc.titleValidity of Estimating the Maximal Oxygen Consumption by Consumer Wearables : A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202310246622
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_dcae04bc
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1577-1597
dc.relation.issn0112-1642
dc.relation.volume52
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2022
dc.rights.accesslevelopenAccessfi
dc.subject.ysohapenotto
dc.subject.ysomaksimaalinen hapenotto
dc.subject.ysometa-analyysi
dc.subject.ysosystemaattiset kirjallisuuskatsaukset
dc.subject.ysovaliditeetti
dc.subject.ysovalidointi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p25455
jyx.subject.urihttp://www.yso.fi/onto/yso/p25454
jyx.subject.urihttp://www.yso.fi/onto/yso/p27697
jyx.subject.urihttp://www.yso.fi/onto/yso/p29683
jyx.subject.urihttp://www.yso.fi/onto/yso/p19898
jyx.subject.urihttp://www.yso.fi/onto/yso/p20652
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s40279-021-01639-y
jyx.fundinginformationThis research was partly funded by Huawei Technologies Oy (Finland) Co. Ltd. A limited liability company headquartered in Helsinki, Finland.
dc.type.okmA2


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