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Validity of physical activity monitors for assessing lower intensity activity in adults

BACKGROUND: Accelerometers can provide accurate estimates of moderate-to-vigorous physical activity (MVPA). However, one of the limitations of these instruments is the inability to capture light activity within an acceptable range of error. The purpose of the present study was to determine the valid...

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Autores principales: Calabró, M Andrés, Lee, Jung-Min, Saint-Maurice, Pedro F, Yoo, Hyelim, Welk, Gregory J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192284/
https://www.ncbi.nlm.nih.gov/pubmed/25260625
http://dx.doi.org/10.1186/s12966-014-0119-7
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author Calabró, M Andrés
Lee, Jung-Min
Saint-Maurice, Pedro F
Yoo, Hyelim
Welk, Gregory J
author_facet Calabró, M Andrés
Lee, Jung-Min
Saint-Maurice, Pedro F
Yoo, Hyelim
Welk, Gregory J
author_sort Calabró, M Andrés
collection PubMed
description BACKGROUND: Accelerometers can provide accurate estimates of moderate-to-vigorous physical activity (MVPA). However, one of the limitations of these instruments is the inability to capture light activity within an acceptable range of error. The purpose of the present study was to determine the validity of different activity monitors for estimating energy expenditure (EE) of light intensity, semi-structured activities. METHODS: Forty healthy participants wore a SenseWear Pro3 Armband (SWA, v.6.1), the SenseWear Mini, the Actiheart, ActiGraph, and ActivPAL monitors, while being monitored with a portable indirect calorimetry (IC). Participants engaged in a variety of low intensity activities but no formalized scripts or protocols were used during these periods. RESULTS: The Mini and SWA overestimated total EE on average by 1.0% and 4.0%, respectively, while the AH, the GT3X, and the AP underestimated total EE on average by 7.8%, 25.5%, and 22.2%, respectively. The pattern-recognition monitors yielded non-significant differences in EE estimates during the semi-structured period (p = 0.66, p = 0.27, and p = 0.21 for the Mini, SWA, and AH, respectively). CONCLUSIONS: The SenseWear Mini provided more accurate estimates of EE during light to moderate intensity semi-structured activities compared to other activity monitors. This monitor should be considered when there is interest in tracking low intensity activities in groups of individuals.
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spelling pubmed-41922842014-10-11 Validity of physical activity monitors for assessing lower intensity activity in adults Calabró, M Andrés Lee, Jung-Min Saint-Maurice, Pedro F Yoo, Hyelim Welk, Gregory J Int J Behav Nutr Phys Act Research BACKGROUND: Accelerometers can provide accurate estimates of moderate-to-vigorous physical activity (MVPA). However, one of the limitations of these instruments is the inability to capture light activity within an acceptable range of error. The purpose of the present study was to determine the validity of different activity monitors for estimating energy expenditure (EE) of light intensity, semi-structured activities. METHODS: Forty healthy participants wore a SenseWear Pro3 Armband (SWA, v.6.1), the SenseWear Mini, the Actiheart, ActiGraph, and ActivPAL monitors, while being monitored with a portable indirect calorimetry (IC). Participants engaged in a variety of low intensity activities but no formalized scripts or protocols were used during these periods. RESULTS: The Mini and SWA overestimated total EE on average by 1.0% and 4.0%, respectively, while the AH, the GT3X, and the AP underestimated total EE on average by 7.8%, 25.5%, and 22.2%, respectively. The pattern-recognition monitors yielded non-significant differences in EE estimates during the semi-structured period (p = 0.66, p = 0.27, and p = 0.21 for the Mini, SWA, and AH, respectively). CONCLUSIONS: The SenseWear Mini provided more accurate estimates of EE during light to moderate intensity semi-structured activities compared to other activity monitors. This monitor should be considered when there is interest in tracking low intensity activities in groups of individuals. BioMed Central 2014-09-28 /pmc/articles/PMC4192284/ /pubmed/25260625 http://dx.doi.org/10.1186/s12966-014-0119-7 Text en © Calabro et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Calabró, M Andrés
Lee, Jung-Min
Saint-Maurice, Pedro F
Yoo, Hyelim
Welk, Gregory J
Validity of physical activity monitors for assessing lower intensity activity in adults
title Validity of physical activity monitors for assessing lower intensity activity in adults
title_full Validity of physical activity monitors for assessing lower intensity activity in adults
title_fullStr Validity of physical activity monitors for assessing lower intensity activity in adults
title_full_unstemmed Validity of physical activity monitors for assessing lower intensity activity in adults
title_short Validity of physical activity monitors for assessing lower intensity activity in adults
title_sort validity of physical activity monitors for assessing lower intensity activity in adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192284/
https://www.ncbi.nlm.nih.gov/pubmed/25260625
http://dx.doi.org/10.1186/s12966-014-0119-7
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