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dc.contributor.authorvan Loo, Christiana M. T.
dc.contributor.authorOkely, Anthony D.
dc.contributor.authorBatterham, Marijka
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.accessioned2018-10-30T12:51:42Z
dc.date.available2018-10-30T12:51:42Z
dc.date.created2017-11-23T13:37:51Z
dc.date.issued2017
dc.identifier.citationMedicine & Science in Sports & Exercise. 2017, 50, 609-616.nb_NO
dc.identifier.issn0195-9131
dc.identifier.urihttp://hdl.handle.net/11250/2570151
dc.description.abstractPurpose: To examine the validity of wrist acceleration cut-points for classifying moderate (MPA), vigorous (VPA) and moderate-to-vigorous (MVPA) physical activity. Methods: Fifty-seven children (5-12y) completed 15 semi-structured activities. Three sets of wrist cutpoints (>192mg, >250mg, >314mg), previously developed using Euclidian norm minus one (ENMO192+), GENEActiv software (GENEA250+) and Bandpass Filtered followed by Euclidian Norm (BFEN314+), were evaluated against indirect calorimetry. Analyses included classification accuracy, equivalence testing and Bland-Altman procedures. Results: All cut-points classified MPA, VPA and MVPA with substantial accuracy (ENMO192+: κ = 0.72 [95% confidence interval: 0.72 – 0.73], MVPA: area under the receiver operating characteristic curve (ROC-AUC) = 0.85 [0.85 – 0.86]; GENEA250+: κ = 0.75 [0.74 – 0.76], MVPA: ROC-AUC = 0.85 [0.85 – 0.86]; BFEN314+: κ = 0.73 [0.72 – 0.74], MVPA: ROC-AUC = 0.86 [0.86 – 0.87]). BFEN314+ misclassified 19.7% non-MVPA epochs as MPA, whereas ENMO192+ and GENEA250+ misclassified 32.6% and 26.5% of MPA epochs as non-MVPA, respectively. Group estimates of MPA time were equivalent (p<0.01) to indirect calorimetry for the BFEN314+ MPA cut-point (mean bias: -1.5%, limits of agreement [LoA]: -57.5 - 60.6%), while estimates of MVPA time were equivalent (p<0.01) to indirect calorimetry for the ENMO192+ (mean bias: -1.1% [LoA: - 53.7% – 55.9%]) and GENEA250+ (mean bias: 2.2% [LoA: -56.5% – 52.2%]) cut-points. Individual variability (LoAs) was large for MPA (min: BFEN314+, -60.6% – 57.5%; max: GENEA250+, -42.0% – 104.1%), VPA (min: BFEN314+, -238.9% – 54.6%; max: ENMO192+, - 244.5% – 127.4%) and MVPA (min: ENMO192+, -53.7% – 55.0%; max: BFEN314+, -83.9% – 25.3%). Conclusion: Wrist acceleration cut-points misclassified a considerable proportion of non-MVPA and MVPA. Group level estimates of MVPA were acceptable; however, error for individual level prediction was larger.
dc.description.abstractWrist Acceleration Cut-points for Moderate-to-Vigorous Physical Activity in Youth
dc.language.isoengnb_NO
dc.titleWrist Acceleration Cut-points for Moderate-to-Vigorous Physical Activity in Youthnb_NO
dc.title.alternativeWrist Acceleration Cut-points for Moderate-to-Vigorous Physical Activity in Youthnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersion
dc.source.pagenumber51nb_NO
dc.source.journalMedicine & Science in Sports & Exercisenb_NO
dc.identifier.doi10.1249/MSS.0000000000001449
dc.identifier.cristin1517683
cristin.unitcode150,34,0,0
cristin.unitnameSeksjon for idrettsmedisinske fag
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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