Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/43761
Title: The backwards comparability of wrist worn GENEActiv and waist worn ActiGraph accelerometer estimates of sedentary time in children
Authors: Boddy, LM
Noonan, RJ
Rowlands, AV
Hurter, L
Knowles, ZR
Fairclough, SJ
First Published: 11-Feb-2019
Publisher: Elsevier for Sports Medicine Australia (SMA)
Citation: Journal of Science and Medicine in Sport, 2019, in press
Abstract: Objectives: To examine the backward comparability of a range of wrist-worn accelerometer estimates of sedentary time (ST) with ActiGraph 100 count min −1 waist ST estimates. Design: Cross-sectional, secondary data analysis Methods: One hundred and eight 10–11-year-old children (65 girls) wore an ActiGraph GT3X+ accelerometer (AG) on their waist and a GENEActiv accelerometer (GA) on their non-dominant wrist for seven days. GA ST data were classified using a range of thresholds from 23 to 56 mg ST estimates were compared to AG ST 100 count min −1 data. Agreement between the AG and GA thresholds was examined using Cronbach's alpha, intraclass correlation coefficients (ICC), limits of agreement (LOA), Kappa values, percent agreement, mean absolute percent error (MAPE) and equivalency analysis. Results: Mean AG total ST was 492.4 min over the measurement period. Kappa values ranged from 0.31 to 0.39. Percent agreement ranged from 68 to 69.9%. Cronbach's alpha values ranged from 0.88 to 0.93. ICCs ranged from 0.59 to 0.86. LOA were wide for all comparisons. Only the 34 mg threshold produced estimates that were equivalent at the group level to the AG ST 100 count min −1 data though sensitivity and specificity values of ∼64% and ∼74% respectively were observed. Conclusions: Wrist-based estimates of ST generated using the 34 mg threshold are comparable with those derived from the AG waist mounted 100 count min −1 threshold at the group level. The 34 mg threshold could be applied to allow group-level comparisons of ST with evidence generated using the ActiGraph 100 count min −1 method though it is important to consider the observed sensitivity and specificity results when interpreting findings.
DOI Link: 10.1016/j.jsams.2019.02.001
ISSN: 1440-2440
eISSN: 1878-1861
Links: https://www.sciencedirect.com/science/article/pii/S144024401831048X?via%3Dihub
http://hdl.handle.net/2381/43761
Embargo on file until: 11-Feb-2020
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2019 Published by Elsevier Ltd on behalf of Sports Medicine Australia. After an embargo period this version of the paper will be an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Description: The file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.
Appears in Collections:Published Articles, College of Medicine, Biological Sciences and Psychology

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