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A Calibration Protocol for Population-Specific Accelerometer Cut-Points in Children

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...

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Autores principales: Mackintosh, Kelly A., Fairclough, Stuart J., Stratton, Gareth, Ridgers, Nicola D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3349631/
https://www.ncbi.nlm.nih.gov/pubmed/22590635
http://dx.doi.org/10.1371/journal.pone.0036919
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author Mackintosh, Kelly A.
Fairclough, Stuart J.
Stratton, Gareth
Ridgers, Nicola D.
author_facet Mackintosh, Kelly A.
Fairclough, Stuart J.
Stratton, Gareth
Ridgers, Nicola D.
author_sort Mackintosh, Kelly A.
collection PubMed
description 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.
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spelling pubmed-33496312012-05-15 A Calibration Protocol for Population-Specific Accelerometer Cut-Points in Children Mackintosh, Kelly A. Fairclough, Stuart J. Stratton, Gareth Ridgers, Nicola D. PLoS One Research Article 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. Public Library of Science 2012-05-10 /pmc/articles/PMC3349631/ /pubmed/22590635 http://dx.doi.org/10.1371/journal.pone.0036919 Text en Mackintosh et al. http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Mackintosh, Kelly A.
Fairclough, Stuart J.
Stratton, Gareth
Ridgers, Nicola D.
A Calibration Protocol for Population-Specific Accelerometer Cut-Points in Children
title 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_short A Calibration Protocol for Population-Specific Accelerometer Cut-Points in Children
title_sort calibration protocol for population-specific accelerometer cut-points in children
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3349631/
https://www.ncbi.nlm.nih.gov/pubmed/22590635
http://dx.doi.org/10.1371/journal.pone.0036919
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