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dc.contributor.authorArgent, Rob
dc.contributor.authorHetherington-Rauth, Megan
dc.contributor.authorTarp, Jakob
dc.contributor.authorOrtega, Francisco B.
dc.contributor.authorMolina-Garcia, Pablo
dc.contributor.authorSchumann, Moritz
dc.contributor.authorBloch, Wilhelm
dc.contributor.authorCheng, Sulin
dc.contributor.authorGrøntved, Anders
dc.contributor.authorBrønd, Jan Christian
dc.contributor.authorEkelund, Ulf
dc.contributor.authorSardinha, Luis B.
dc.contributor.authorCaulfield, Brian
dc.contributor.authorStang, Julie Sørbø
dc.date.accessioned2023-01-11T09:12:57Z
dc.date.available2023-01-11T09:12:57Z
dc.date.created2022-11-30T15:27:54Z
dc.date.issued2022
dc.identifier.citationSports Medicine. 2022, 52(8), Side 1817-1832.en_US
dc.identifier.issn0112-1642
dc.identifier.urihttps://hdl.handle.net/11250/3042587
dc.descriptionThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en_US
dc.description.abstractBackground: Consumer wearables and smartphone devices commonly offer an estimate of energy expenditure (EE) to assist in the objective monitoring of physical activity to the general population. Alongside consumers, healthcare professionals and researchers are seeking to utilise these devices for the monitoring of training and improving human health. However, the methods of validation and reporting of EE estimation in these devices lacks rigour, negatively impacting on the ability to make comparisons between devices and provide transparent accuracy. Objectives: The Towards Intelligent Health and Well-Being Network of Physical Activity Assessment (INTERLIVE) is a joint European initiative of six universities and one industrial partner. The network was founded in 2019 and strives towards developing best-practice recommendations for evaluating the validity of consumer wearables and smartphones. This expert statement presents a best-practice validation protocol for consumer wearables and smartphones in the estimation of EE. Methods: The recommendations were developed through (1) a systematic literature review; (2) an unstructured review of the wider literature discussing the potential factors that may introduce bias during validation studies; and (3) evidence-informed expert opinions from members of the INTERLIVE network. Results: The systematic literature review process identified 1645 potential articles, of which 62 were deemed eligible for the final dataset. Based on these studies and the wider literature search, a validation framework is proposed encompassing six key domains for validation: the target population, criterion measure, index measure, testing conditions, data processing and the statistical analysis. Conclusions: The INTERLIVE network recommends that the proposed protocol, and checklists provided, are used to standardise the testing and reporting of the validation of any consumer wearable or smartphone device to estimate EE. This in turn will maximise the potential utility of these technologies for clinicians, researchers, consumers, and manufacturers/developers, while ensuring transparency, comparability, and replicability in validation.en_US
dc.language.isoengen_US
dc.subjectchecklisten_US
dc.subjectenergy metabolismen_US
dc.subjectexerciseen_US
dc.subjecthumansen_US
dc.subjectINTERLIVEen_US
dc.subjectsmartphoneen_US
dc.subjectwearable electronic devicesen_US
dc.titleRecommendations for determining the validity of consumer wearables and smartphones for the estimation of energy expenditure: Expert statement and checklist of the INTERLIVE networken_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2022en_US
dc.source.pagenumber1817-1832en_US
dc.source.volume52en_US
dc.source.journalSports Medicineen_US
dc.source.issue8en_US
dc.identifier.doi10.1007/s40279-022-01665-4
dc.identifier.cristin2086075
dc.description.localcodeInstitutt for idrettsmedisinske fag / Department of Sports Medicineen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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