Comparison of intensity-based cut-points for the RT3 accelerometer in youth

Joschtel, Barbara J. and Trost, Stewart G. (2013) Comparison of intensity-based cut-points for the RT3 accelerometer in youth. Journal of Science and Medicine in Sport, 17 5: 501-505. doi:10.1016/j.jsams.2013.10.248

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Author Joschtel, Barbara J.
Trost, Stewart G.
Title Comparison of intensity-based cut-points for the RT3 accelerometer in youth
Journal name Journal of Science and Medicine in Sport   Check publisher's open access policy
ISSN 1440-2440
1878-1861
Publication date 2013-11-02
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.jsams.2013.10.248
Open Access Status
Volume 17
Issue 5
Start page 501
End page 505
Total pages 5
Place of publication Chatswood, NSW, Australia
Publisher Elsevier Australia
Language eng
Formatted abstract
Objectives To compare the classification accuracy of previously published RT3 accelerometer cut-points for youth using energy expenditure, measured via portable indirect calorimetry, as a criterion measure.

Design Cross-sectional cross-validation study.

Methods 100 children (mean age 11.2 ± 2.8 years, 61% male) completed 12 standardized activities trials (3 sedentary, 5 lifestyle and 4 ambulatory) while wearing an RT3 accelerometer. V̇O2 was measured concurrently using the Oxycon Mobile portable calorimeter. Cut-points by Vanhelst (VH), Rowlands (RW), Chu (CH), Kavouras (KV) and the RT3 manufacturer (RT3M) were used to classify PA intensity as sedentary (SED), light (LPA), moderate (MPA) or vigorous (VPA). Classification accuracy was evaluated using the area under the Receiver Operating Characteristic curve (ROC-AUC) and weighted Kappa (κ).

Results For moderate-to-vigorous PA (MVPA), VH, KV and RW exhibited excellent accuracy classification (ROC-AUC ≥ 0.90), while the CH and RT3M exhibited good classification accuracy (ROC-AUC > 0.80). Classification accuracy for LPA was fair to poor (ROC-AUC < 0.76). For SED, VH exhibited excellent classification accuracy (ROC-AUC > 0.90), while RW, CH, and RT3M exhibited good classification accuracy (ROC-AUC > 0.80). Kappa statistics ranged from 0.67 (VH) to 0.55 (CH).

Conclusions All cut-points provided acceptable classification accuracy for SED and MVPA, but limited accuracy for LPA. On the basis of classification accuracy over all four levels of intensity, the use of the VH cut-points is recommended.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 2 November 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Human Movement and Nutrition Sciences Publications
 
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Created: Thu, 05 Dec 2013, 20:26:41 EST by Deborah Noon on behalf of School of Human Movement and Nutrition Sciences