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dc.contributor.authorvan Loo, Christiana M. T.
dc.contributor.authorOkely, Anthony D.
dc.contributor.authorBatterham, Marijka J.
dc.contributor.authorHinkley, Trina
dc.contributor.authorEkelund, Ulf
dc.contributor.authorBrage, Søren
dc.contributor.authorReilly, John J.
dc.contributor.authorTrost, Stewart G.
dc.contributor.authorJones, Rachel A.
dc.contributor.authorJanssen, Xanne
dc.contributor.authorCliff, Dylan P.
dc.date.accessioned2017-11-14T11:58:07Z
dc.date.available2017-11-14T11:58:07Z
dc.date.issued2017
dc.identifier.citationMedicine & Science in Sports & Exercise. 2017, 49, 813-822nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/2466153
dc.descriptionI Brage finner du siste tekst-versjon av artikkelen, og den kan inneholde ubetydelige forskjeller fra forlagets pdf-versjon. Forlagets pdf-versjon finner du på insights.ovid.com / In Brage you'll find the final text version of the article, and it may contain insignificant differences from the journal's pdf version. The definitive version is available at insights.ovid.comnb_NO
dc.description.abstractIntroduction: To examine the validity and accuracy of wrist accelerometers for classifying sedentary behavior (SB) in children. Methods: Fifty-seven children (5-8y and 9-12y) completed a ~170min protocol including 15 semi-structured activities and transitions. Nine ActiGraph (GT3X+) and two GENEActiv wrist cut-points were evaluated. Direct observation was the criterion measure. The accuracy of wrist cut-points was compared to that achieved by the ActiGraph hip cut-point (≤25 counts/15s) and the thigh-mounted activPAL3TM. Analyses included equivalence testing, Bland-Altman procedures and area under the receiver operating curve (ROC-AUC). Results: The most accurate ActiGraph wrist cut-points (Kim, vector magnitude: ≤3958 counts/60s and vertical axis: ≤1756 counts/60s) demonstrated good classification accuracy (ROC-AUC = 0.85-0.86) and accurately estimated SB time in 5-8y (equivalence p=0.02; mean bias: 4.1%, limits of agreement [LoA]: -20.1-28.4%) and 9-12y (equivalence p<0.01; - 2.5%, -27.9-22.9%). Mean bias of SB time estimates from Kim were smaller than ActiGraph hip (5-8y: 15.8%, -5.7-37.2%; 9-12y: 17.8%, -3.9-39.5%) and similar to or smaller than activPAL3TM (5-8y: 12.6%, -39.8-14.7%; 9-12y: -1.4%, -13.9-11.0%), although classification accuracy was similar to ActiGraph hip (ROC-AUC = 0.85) but lower than activPAL3TM (ROC-AUC = 0.92-0.97). Mean bias (5-8y: 6.5%, -16.1-29.1%; 9-12y: 10.5%, -13.6-34.6%) for the most accurate GENEActiv wrist cut-point (Schaefer: ≤0.19g) was smaller than ActiGraph hip, and activPAL3TM in 5-8y, but larger than activPAL3TM in 9-12y. However, SB time estimates from Schaefer were not equivalent to direct observation (equivalence p>0.05) and classification accuracy (ROC-AUC = 0.79-0.80) was lower than for ActiGraph hip and activPAL3TM. Conclusion: The most accurate SB ActiGraph (Kim) and GENEActiv (Schaefer) wrist cutpoints can be applied in children with similar confidence as the ActiGraph hip cut-point (≤25 counts/15s), although activPAL3TM was generally more accurate.nb_NO
dc.language.isoengnb_NO
dc.publisherOvidnb_NO
dc.subjectactivity monitornb_NO
dc.subjectyouthnb_NO
dc.subjectvalidationnb_NO
dc.subjectphysical activitynb_NO
dc.subjectobjective measurementnb_NO
dc.subjectsittingnb_NO
dc.titleWrist Accelerometer Cut Points for Classifying Sedentary Behavior in Childrennb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalMedicine & Science in Sports & Exercisenb_NO
dc.identifier.doi10.1249/MSS.0000000000001158
dc.description.localcodeSeksjon for idrettsmedisinske fag / Department of Sports Medicinenb_NO


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