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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.

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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.
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.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30046180

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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.