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dc.contributor.authorFriborg, Oddgeir
dc.contributor.authorKristoffersen, Morten
dc.contributor.authorPettersen, Gunn
dc.contributor.authorSundgot-Borgen, Jorunn
dc.contributor.authorDasa, Marcus Småvik Tutu
dc.contributor.authorRosenvinge, Jan H.
dc.date.accessioned2022-08-04T08:35:31Z
dc.date.available2022-08-04T08:35:31Z
dc.date.created2022-04-29T10:12:55Z
dc.date.issued2022
dc.identifier.citationInternational Journal of Environmental Research and Public Health. 2022, 19(8), Artikkel 4770.en_US
dc.identifier.issn1661-7827
dc.identifier.urihttps://hdl.handle.net/11250/3010082
dc.descriptionThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.description.abstractThe purpose of the study was to assess the accuracy of commonly used GPS/accelerometer-based tracking devices in the estimation of exercise energy expenditure (EEE) during high-intensity intermittent exercise. A total of 13 female soccer players competing at the highest level in Norway (age 20.5 ± 4.3 years; height 168.4 ± 5.1 cm; weight 64.1 ± 5.3 kg; fat free mass 49.7 ± 4.2 kg) completed a single visit test protocol on an artificial grass surface. The test course consisted of walking, jogging, high-speed running, and sprinting, mimicking the physical requirements in soccer. Three commonly used tracking devices were compared against indirect calorimetry as the criterion measure to determine their accuracy in estimating the total energy expenditure. The anaerobic energy consumption (i.e., excess post-exercise oxygen consumption, EPOC) and resting time were examined as adjustment factors possibly improving accuracy. All three devices significantly underestimated the total energy consumption, as compared to the criterion measure (p = 0.022, p = 0.002, p = 0.017; absolute ICC = 0.39, 0.24 and 0.30, respectively), and showed a systematic pattern with increasing underestimation for higher energy consumption. Excluding EPOC from EEE reduced the bias substantially (all p’s becoming non-significant; absolute ICC = 0.49, 0.54 and 0.49, respectively); however, bias was still present for all tracking devices. All GPS trackers were biased by showing a general tendency to underestimate the exercise energy consumption during high intensity intermittent exercising, which in addition showed a systematic pattern by over- or underestimation during lower or higher exercising intensity. Adjusting for EPOC reduced the bias and provided a more acceptable accuracy. For a more correct EEE estimation further calibration of these devices by the manufacturers is strongly advised by possibly addressing biases caused by EPOC.en_US
dc.language.isoengen_US
dc.subjectenergy availabilityen_US
dc.subjectexercise expenditureen_US
dc.subjectexercise metabolismen_US
dc.subjectfemale athleteen_US
dc.subjectteam sporten_US
dc.subjecttechnologyen_US
dc.titleAccuracy of tracking devices’ ability to assess exercise energy expenditure in professional female soccer players: Implications for quantifying energy availabilityen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 by the authorsen_US
dc.source.pagenumber11en_US
dc.source.volume19en_US
dc.source.journalInternational Journal of Environmental Research and Public Healthen_US
dc.source.issue8en_US
dc.identifier.doi10.3390/ijerph19084770
dc.identifier.cristin2020024
dc.description.localcodeInstitutt for idrettsmedisinske fag / Department of Sports Medicineen_US
dc.source.articlenumber4770en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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