dc.contributor.author | van Loo, Christiana M. T. | |
dc.contributor.author | Okely, Anthony D. | |
dc.contributor.author | Batterham, Marijka J. | |
dc.contributor.author | Hinkley, Trina | |
dc.contributor.author | Ekelund, Ulf | |
dc.contributor.author | Brage, Søren | |
dc.contributor.author | Reilly, John J. | |
dc.contributor.author | Trost, Stewart G. | |
dc.contributor.author | Jones, Rachel A. | |
dc.contributor.author | Janssen, Xanne | |
dc.contributor.author | Cliff, Dylan P. | |
dc.date.accessioned | 2017-11-14T11:58:07Z | |
dc.date.available | 2017-11-14T11:58:07Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Medicine & Science in Sports & Exercise. 2017, 49, 813-822 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/2466153 | |
dc.description | I 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.com | nb_NO |
dc.description.abstract | Introduction: 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.iso | eng | nb_NO |
dc.publisher | Ovid | nb_NO |
dc.subject | activity monitor | nb_NO |
dc.subject | youth | nb_NO |
dc.subject | validation | nb_NO |
dc.subject | physical activity | nb_NO |
dc.subject | objective measurement | nb_NO |
dc.subject | sitting | nb_NO |
dc.title | Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.source.journal | Medicine & Science in Sports & Exercise | nb_NO |
dc.identifier.doi | 10.1249/MSS.0000000000001158 | |
dc.description.localcode | Seksjon for idrettsmedisinske fag / Department of Sports Medicine | nb_NO |