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Comparability of children’s sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds

Boddy, LM, Noonan, RJ, Kim, Y, Rowlands, A, Welk, G, Knowles, ZR and Fairclough, S Comparability of children’s sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds. Journal of Science and Medicine in Sport. ISSN 1440-2440 (Accepted)

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Abstract

Objectives: to examine the comparability of children’s free-living sedentary time (ST) derived from raw acceleration thresholds for wrist mounted GENEActiv accelerometer data, with ST estimated using the waist mounted ActiGraph 100 count∙min-1 threshold.
Design: Secondary data analysis
Method: 108 10-11-year-old children (n=43 boys) from Liverpool, UK wore one ActiGraph GT3X+ and one GENEActiv accelerometer on their right hip and left wrist, respectively for seven days. Signal vector magnitude (SVM; mg) was calculated using the ENMO approach for GENEActiv data. ST was estimated from hip-worn ActiGraph data, applying the widely used 100 count∙min-1 threshold. ROC analysis using 10-fold hold-out cross-validation was conducted to establish a wrist-worn GENEActiv threshold comparable to the hip ActiGraph 100 count∙min-1 threshold. GENEActiv data were also classified using three empirical wrist thresholds and equivalence testing was completed.
Results: Analysis indicated that a GENEActiv SVM value of 51mg demonstrated fair to moderate agreement (Kappa: 0.32-0.41) with the 100 count∙min-1 threshold. However, the generated and empirical thresholds for GENEActiv devices were not significantly equivalent to ActiGraph 100 count∙min-1. GENEActiv data classified using the 35.6 mg threshold intended for ActiGraph devices generated significantly equivalent ST estimates as the ActiGraph 100 count∙min-1.
Conclusions: The newly generated and empirical GENEActiv wrist thresholds do not provide equivalent estimates of ST to the ActiGraph 100 count∙min-1 approach. More investigation is required to assess the validity of applying ActiGraph cutpoints to GENEActiv data. Future studies are needed to examine the backward compatibility of ST data and to produce a robust method of classifying SVM-derived ST.

Item Type: Article
Uncontrolled Keywords: 1106 Human Movement And Sports Science, 1117 Public Health And Health Services
Subjects: R Medicine > RC Internal medicine > RC1200 Sports Medicine
R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services
Divisions: Sport & Exercise Sciences
Publisher: Elsevier
Date Deposited: 22 Mar 2018 11:56
Last Modified: 03 Nov 2018 14:35
URI: http://researchonline.ljmu.ac.uk/id/eprint/8357

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