A calibration protocol for population-specific accelerometer cut-points in children Mackintosh, Kelly A., Fairclough, Stuart J., Stratton, Gareth and Ridgers, Nicola D. 2012, A calibration protocol for population-specific accelerometer cut-points in children, PLoS One, vol. 7, no. 5, Article number e36919, pp. 1-6. Attached Files Name Description MIMEType Size Downloads ridgers-acalibration-2012.pdf Published version application/pdf 722.79KB 173 Title A calibration protocol for population-specific accelerometer cut-points in children Author(s) Mackintosh, Kelly A. Fairclough, Stuart J. Stratton, Gareth Ridgers, Nicola D. orcid.org/0000-0001-5713-3515 Journal name PLoS One Volume number 7 Issue number 5 Season Article number e36919 Start page 1 End page 6 Total pages 6 Publisher Public Library of Science Place of publication San Francisco, Calif. Publication date 2012-05-10 ISSN 1932-6203 Keyword(s) children physical activity behaviour Summary Purpose To test a field-based protocol using intermittent activities representative of children's physical activity behaviours, to generate behaviourally valid, population-specific accelerometer cut-points for sedentary behaviour, moderate, and vigorous physical activity. Methods Twenty-eight children (46% boys) aged 10–11 years wore a hip-mounted uniaxial GT1M ActiGraph and engaged in 6 activities representative of children's play. A validated direct observation protocol was used as the criterion measure of physical activity. Receiver Operating Characteristics (ROC) curve analyses were conducted with four semi-structured activities to determine the accelerometer cut-points. To examine classification differences, cut-points were cross-validated with free-play and DVD viewing activities. Results Cut-points of ≤372, >2160 and >4806 counts•min−1 representing sedentary, moderate and vigorous intensity thresholds, respectively, provided the optimal balance between the related needs for sensitivity (accurately detecting activity) and specificity (limiting misclassification of the activity). Cross-validation data demonstrated that these values yielded the best overall kappa scores (0.97; 0.71; 0.62), and a high classification agreement (98.6%; 89.0%; 87.2%), respectively. Specificity values of 96–97% showed that the developed cut-points accurately detected physical activity, and sensitivity values (89–99%) indicated that minutes of activity were seldom incorrectly classified as inactivity. Conclusion The development of an inexpensive and replicable field-based protocol to generate behaviourally valid and population-specific accelerometer cut-points may improve the classification of physical activity levels in children, which could enhance subsequent intervention and observational studies. Notes This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Language eng Field of Research 110699 Human Movement and Sports Science not elsewhere classified Socio Economic Objective 920401 Behaviour and Health HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2012, Mackintosh et al. Free to Read? Yes Use Rights Persistent URL http://hdl.handle.net/10536/DRO/DU:30046180 Document type: Journal Article Collections: Faculty of Health Institute for Physical Activity and Nutrition Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 23 Jul 2012, 11:24:56 EST Tue, 24 Jul 2012, 10:11:21 EST Tue, 24 Jul 2012, 10:12:37 EST Tue, 24 Jul 2012, 10:18:03 EST Wed, 21 Oct 2015, 17:44:51 EST Fri, 26 Aug 2016, 14:50:10 EST Mon, 05 Sep 2016, 15:35:15 EST Tue, 06 Sep 2016, 19:15:22 EST Fri, 07 Sep 2018, 12:03:19 EST Filtered Full Citation counts:   Cited 21 times in TR Web of Science Cited 22 times in Scopus Search Google Scholar Access Statistics: 689 Abstract Views, 173 File Downloads  -  Detailed Statistics Created: Mon, 23 Jul 2012, 11:24:45 EST by Jane Moschetti

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.