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Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents
BACKGROUND: Accelerometers are widely used to measure sedentary time and daily physical activity (PA). However, data collection and processing criteria, such as non-wear time rules might affect the assessment of total PA and sedentary time and the associations with health variables. The study aimed...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444637/ https://www.ncbi.nlm.nih.gov/pubmed/30940079 http://dx.doi.org/10.1186/s12874-019-0712-1 |
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author | Vanhelst, Jérémy Vidal, Florian Drumez, Elodie Béghin, Laurent Baudelet, Jean-Benoît Coopman, Stéphanie Gottrand, Frédéric |
author_facet | Vanhelst, Jérémy Vidal, Florian Drumez, Elodie Béghin, Laurent Baudelet, Jean-Benoît Coopman, Stéphanie Gottrand, Frédéric |
author_sort | Vanhelst, Jérémy |
collection | PubMed |
description | BACKGROUND: Accelerometers are widely used to measure sedentary time and daily physical activity (PA). However, data collection and processing criteria, such as non-wear time rules might affect the assessment of total PA and sedentary time and the associations with health variables. The study aimed to investigate whether the choice of different non-wear time definitions would affect the outcomes of PA levels in youth. METHODS: Seventy-seven healthy youngsters (44 boys), aged 10–17 years, wore an accelerometer and kept a non-wear log diary during 4 consecutives days. We compared 7 published algorithms (10, 15, 20, 30, 60 min of continuous zeros, Choi, and Troiano algorithms). Agreements of each algorithm with the log diary method were assessed using Bland-Altmans plots and by calculating the concordance correlation coefficient for repeated measures. RESULTS: Variations in time spent in sedentary and moderate to vigorous PA (MVPA) were 30 and 3.7%. Compared with the log diary method, greater discrepancies were found for the algorithm 10 min (p < 0.001). For the time assessed in sedentary, the agreement with diary was excellent for the 4 algorithms (Choi, r = 0.79; Troiano, r = 0.81; 30 min, r = 0.79; 60 min, r = 0.81). Concordance for each method was excellent for the assessment of time spent in MVPA (> 0.86). The agreement for the wear time assessment was excellent for 5 algorithms (Choi r = 0.79; Troiano r = 0.79; 20 min r = 0.77; 30 min r = 0.80; 60 min r = 0.80). CONCLUSIONS: The choice of non-wear time rules may considerably affect the sedentary time assessment in youth. Using of appropriate data reduction decision in youth is needed to limit differences in associations between health outcomes and sedentary behaviors and may improve comparability for future studies. Based on our results, we recommend the use of the algorithm of 30 min of continuous zeros for defining non-wear time to improve the accuracy in assessing PA levels in youth. TRIAL REGISTRATION: NCT02844101 (retrospectively registered at July 13th 2016). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-019-0712-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6444637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64446372019-04-11 Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents Vanhelst, Jérémy Vidal, Florian Drumez, Elodie Béghin, Laurent Baudelet, Jean-Benoît Coopman, Stéphanie Gottrand, Frédéric BMC Med Res Methodol Research Article BACKGROUND: Accelerometers are widely used to measure sedentary time and daily physical activity (PA). However, data collection and processing criteria, such as non-wear time rules might affect the assessment of total PA and sedentary time and the associations with health variables. The study aimed to investigate whether the choice of different non-wear time definitions would affect the outcomes of PA levels in youth. METHODS: Seventy-seven healthy youngsters (44 boys), aged 10–17 years, wore an accelerometer and kept a non-wear log diary during 4 consecutives days. We compared 7 published algorithms (10, 15, 20, 30, 60 min of continuous zeros, Choi, and Troiano algorithms). Agreements of each algorithm with the log diary method were assessed using Bland-Altmans plots and by calculating the concordance correlation coefficient for repeated measures. RESULTS: Variations in time spent in sedentary and moderate to vigorous PA (MVPA) were 30 and 3.7%. Compared with the log diary method, greater discrepancies were found for the algorithm 10 min (p < 0.001). For the time assessed in sedentary, the agreement with diary was excellent for the 4 algorithms (Choi, r = 0.79; Troiano, r = 0.81; 30 min, r = 0.79; 60 min, r = 0.81). Concordance for each method was excellent for the assessment of time spent in MVPA (> 0.86). The agreement for the wear time assessment was excellent for 5 algorithms (Choi r = 0.79; Troiano r = 0.79; 20 min r = 0.77; 30 min r = 0.80; 60 min r = 0.80). CONCLUSIONS: The choice of non-wear time rules may considerably affect the sedentary time assessment in youth. Using of appropriate data reduction decision in youth is needed to limit differences in associations between health outcomes and sedentary behaviors and may improve comparability for future studies. Based on our results, we recommend the use of the algorithm of 30 min of continuous zeros for defining non-wear time to improve the accuracy in assessing PA levels in youth. TRIAL REGISTRATION: NCT02844101 (retrospectively registered at July 13th 2016). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-019-0712-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-02 /pmc/articles/PMC6444637/ /pubmed/30940079 http://dx.doi.org/10.1186/s12874-019-0712-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Vanhelst, Jérémy Vidal, Florian Drumez, Elodie Béghin, Laurent Baudelet, Jean-Benoît Coopman, Stéphanie Gottrand, Frédéric Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents |
title | Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents |
title_full | Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents |
title_fullStr | Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents |
title_full_unstemmed | Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents |
title_short | Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents |
title_sort | comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444637/ https://www.ncbi.nlm.nih.gov/pubmed/30940079 http://dx.doi.org/10.1186/s12874-019-0712-1 |
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