A calibration protocol for population-specific accelerometer cut-points in children.
<h4>Purpose</h4>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.<...
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Public Library of Science (PLoS)
2012
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oai:doaj.org-article:2239009f5dea4b8bbd938ed0008746292021-11-18T07:19:09ZA calibration protocol for population-specific accelerometer cut-points in children.1932-620310.1371/journal.pone.0036919https://doaj.org/article/2239009f5dea4b8bbd938ed0008746292012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22590635/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Purpose</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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.Kelly A MackintoshStuart J FaircloughGareth StrattonNicola D RidgersPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 5, p e36919 (2012) |
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Medicine R Science Q Kelly A Mackintosh Stuart J Fairclough Gareth Stratton Nicola D Ridgers A calibration protocol for population-specific accelerometer cut-points in children. |
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<h4>Purpose</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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. |
format |
article |
author |
Kelly A Mackintosh Stuart J Fairclough Gareth Stratton Nicola D Ridgers |
author_facet |
Kelly A Mackintosh Stuart J Fairclough Gareth Stratton Nicola D Ridgers |
author_sort |
Kelly A Mackintosh |
title |
A calibration protocol for population-specific accelerometer cut-points in children. |
title_short |
A calibration protocol for population-specific accelerometer cut-points in children. |
title_full |
A calibration protocol for population-specific accelerometer cut-points in children. |
title_fullStr |
A calibration protocol for population-specific accelerometer cut-points in children. |
title_full_unstemmed |
A calibration protocol for population-specific accelerometer cut-points in children. |
title_sort |
calibration protocol for population-specific accelerometer cut-points in children. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2012 |
url |
https://doaj.org/article/2239009f5dea4b8bbd938ed000874629 |
work_keys_str_mv |
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1718423583844204544 |