Cargando…

Comparison of Accelerometer-Based Cut-Points for Children’s Physical Activity: Counts vs. Steps

Background: Accelerometers measure complex movements of children’s free play moderate-vigorous physical activity (MVPA), including step and non-step movements. Current accelerometer technology has introduced algorithms to measure steps, along with counts. Precise interpretation of accelerometer-base...

Descripción completa

Detalles Bibliográficos
Autores principales: Howe, Cheryl A., Clevenger, Kimberly A., Leslie, Ryann E., Ragan, Moira A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111715/
https://www.ncbi.nlm.nih.gov/pubmed/30081457
http://dx.doi.org/10.3390/children5080105
_version_ 1783350714613891072
author Howe, Cheryl A.
Clevenger, Kimberly A.
Leslie, Ryann E.
Ragan, Moira A.
author_facet Howe, Cheryl A.
Clevenger, Kimberly A.
Leslie, Ryann E.
Ragan, Moira A.
author_sort Howe, Cheryl A.
collection PubMed
description Background: Accelerometers measure complex movements of children’s free play moderate-vigorous physical activity (MVPA), including step and non-step movements. Current accelerometer technology has introduced algorithms to measure steps, along with counts. Precise interpretation of accelerometer-based cadence (steps/min) cut-points is necessary for accurately measuring and tracking children’s MVPA. The purpose of this study was to assess the relationships and agreement between accelerometer-based cut-points (cadence and counts/min) to estimate children’s MVPA compared to measured values. Methods: Forty children (8–12 years; 25 boys) played 6–10 games while wearing a portable metabolic analyzer and GT3X(+) to measure and estimate MVPA, respectively. Correlation, kappa, sensitivity, and specificity assessed the relationships and agreement between measured and estimated MVPA. Results: Games elicited, on average, 6.3 ± 1.6 METs, 64.5 ± 24.7 steps/min, and 3318 ± 1262 vertical (V) and 5350 ± 1547 vector-magnitude (VM) counts/min. The relationship between measured and estimated MVPA intensity was higher for cadence (r = 0.50) than V and VM counts/min (r = 0.38 for both). Agreement using V and VM counts/min for measuring PA intensity varied by cut-points (range: 6.8% (κ = −0.02) to 97.6% (κ = 0.49)), while agreement was low using cadence cut-points (range: 4.0% (κ = 0.0009) to 11.3% (κ = 0.001)). Conclusion: While measured and estimated values were well correlated, using cadence tended to misclassify children’s free-play MVPA.
format Online
Article
Text
id pubmed-6111715
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61117152018-08-28 Comparison of Accelerometer-Based Cut-Points for Children’s Physical Activity: Counts vs. Steps Howe, Cheryl A. Clevenger, Kimberly A. Leslie, Ryann E. Ragan, Moira A. Children (Basel) Article Background: Accelerometers measure complex movements of children’s free play moderate-vigorous physical activity (MVPA), including step and non-step movements. Current accelerometer technology has introduced algorithms to measure steps, along with counts. Precise interpretation of accelerometer-based cadence (steps/min) cut-points is necessary for accurately measuring and tracking children’s MVPA. The purpose of this study was to assess the relationships and agreement between accelerometer-based cut-points (cadence and counts/min) to estimate children’s MVPA compared to measured values. Methods: Forty children (8–12 years; 25 boys) played 6–10 games while wearing a portable metabolic analyzer and GT3X(+) to measure and estimate MVPA, respectively. Correlation, kappa, sensitivity, and specificity assessed the relationships and agreement between measured and estimated MVPA. Results: Games elicited, on average, 6.3 ± 1.6 METs, 64.5 ± 24.7 steps/min, and 3318 ± 1262 vertical (V) and 5350 ± 1547 vector-magnitude (VM) counts/min. The relationship between measured and estimated MVPA intensity was higher for cadence (r = 0.50) than V and VM counts/min (r = 0.38 for both). Agreement using V and VM counts/min for measuring PA intensity varied by cut-points (range: 6.8% (κ = −0.02) to 97.6% (κ = 0.49)), while agreement was low using cadence cut-points (range: 4.0% (κ = 0.0009) to 11.3% (κ = 0.001)). Conclusion: While measured and estimated values were well correlated, using cadence tended to misclassify children’s free-play MVPA. MDPI 2018-08-03 /pmc/articles/PMC6111715/ /pubmed/30081457 http://dx.doi.org/10.3390/children5080105 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Howe, Cheryl A.
Clevenger, Kimberly A.
Leslie, Ryann E.
Ragan, Moira A.
Comparison of Accelerometer-Based Cut-Points for Children’s Physical Activity: Counts vs. Steps
title Comparison of Accelerometer-Based Cut-Points for Children’s Physical Activity: Counts vs. Steps
title_full Comparison of Accelerometer-Based Cut-Points for Children’s Physical Activity: Counts vs. Steps
title_fullStr Comparison of Accelerometer-Based Cut-Points for Children’s Physical Activity: Counts vs. Steps
title_full_unstemmed Comparison of Accelerometer-Based Cut-Points for Children’s Physical Activity: Counts vs. Steps
title_short Comparison of Accelerometer-Based Cut-Points for Children’s Physical Activity: Counts vs. Steps
title_sort comparison of accelerometer-based cut-points for children’s physical activity: counts vs. steps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111715/
https://www.ncbi.nlm.nih.gov/pubmed/30081457
http://dx.doi.org/10.3390/children5080105
work_keys_str_mv AT howecheryla comparisonofaccelerometerbasedcutpointsforchildrensphysicalactivitycountsvssteps
AT clevengerkimberlya comparisonofaccelerometerbasedcutpointsforchildrensphysicalactivitycountsvssteps
AT leslieryanne comparisonofaccelerometerbasedcutpointsforchildrensphysicalactivitycountsvssteps
AT raganmoiraa comparisonofaccelerometerbasedcutpointsforchildrensphysicalactivitycountsvssteps