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dc.contributor.authorCrowley, Patrick
dc.contributor.authorSkotte, Jørgen
dc.contributor.authorStamatakis, Emmanuel
dc.contributor.authorHamer, Mark
dc.contributor.authorAadahl, Mette
dc.contributor.authorStevens, Matthew L.
dc.contributor.authorRangul, Vegar
dc.contributor.authorMork, Paul Jarle
dc.contributor.authorHoltermann, Andreas
dc.date.accessioned2020-02-11T09:26:54Z
dc.date.available2020-02-11T09:26:54Z
dc.date.created2019-09-30T18:01:28Z
dc.date.issued2019
dc.identifier.citationInternational Journal of Behavioral Nutrition and Physical Activity. 2019, 16:65 1-7.nb_NO
dc.identifier.issn1479-5868
dc.identifier.urihttp://hdl.handle.net/11250/2640944
dc.description.abstractBackground: Pooling data from thigh-worn accelerometers across multiple studies has great potential to advance evidence on the health benefits of physical activity. This requires harmonization of information on body postures, physical activity types, volumes and time patterns across different brands of devices. The aim of this study is to compare the physical behavior estimates provided by three different brands of thigh-worn accelerometers. Methods: Twenty participants volunteered for a 7-day free-living measurement. Three accelerometers - ActiGraphGT3X+, Axivity AX3 and ActivPAL Micro4 - were randomly placed in a vertical line on the midsection of the right thigh. Raw data from each accelerometer was processed and classified into 8 physical activities and postures using the Acti4 software. Absolute differences between estimates and the respective coefficient of variation (CV) were calculated. Results: We observed very minor differences between physical behavior estimates from three different accelerometer brands. When averaged over 24 h (1,440 min), the absolute difference (CV) between accelerometers were: 1.2 mins(0.001) for lying/sitting, 3.4 mins (0.02) for standing, 3.5 mins (0.06) for moving, 1.9 mins (0.03) for walking, 0.1 mins(0.19) for running, 1.2 mins (0.19) for stair climbing, 1.9 mins (0.07) for cycling. Moreover, there was an average absolute difference of 282 steps (0.03) per 24 h. Conclusions: Physical behaviors were classified with negligible difference between the accelerometer brands. These results support harmonization of data from different thigh-worn accelerometers across multiple cohorts when analyzed in an identical manner. Keywords: Harmonization, Data pooling, Objective measurement, Tri-axial, Accelerometry, Health, Validation, Posturenb_NO
dc.language.isoengnb_NO
dc.publisherBMCnb_NO
dc.relation.urihttps://ijbnpa.biomedcentral.com/track/pdf/10.1186/s12966-019-0835-0
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleComparison of physical behavior estimates from three different thigh-worn accelerometers brands: A proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1-7nb_NO
dc.source.volume16:65nb_NO
dc.source.journalInternational Journal of Behavioral Nutrition and Physical Activitynb_NO
dc.identifier.doi10.1186/s12966-019-0835-0
dc.identifier.cristin1731935
dc.description.localcode© The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, andreproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link tothe Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise statednb_NO
cristin.unitcode194,65,20,15
cristin.unitcode194,65,20,0
cristin.unitnameHelseundersøkelsen i Nord-Trøndelag
cristin.unitnameInstitutt for samfunnsmedisin og sykepleie
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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