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Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis

BACKGROUND: Between-person differences in sedentary patterns should be considered to understand the role of sedentary behavior (SB) in the development of childhood obesity. This study took a novel approach based on compositional data analysis to examine associations between SB patterns and adiposity...

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Autores principales: Gába, Aleš, Pedišić, Željko, Štefelová, Nikola, Dygrýn, Jan, Hron, Karel, Dumuid, Dorothea, Tremblay, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114780/
https://www.ncbi.nlm.nih.gov/pubmed/32241269
http://dx.doi.org/10.1186/s12887-020-02036-6
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author Gába, Aleš
Pedišić, Željko
Štefelová, Nikola
Dygrýn, Jan
Hron, Karel
Dumuid, Dorothea
Tremblay, Mark
author_facet Gába, Aleš
Pedišić, Željko
Štefelová, Nikola
Dygrýn, Jan
Hron, Karel
Dumuid, Dorothea
Tremblay, Mark
author_sort Gába, Aleš
collection PubMed
description BACKGROUND: Between-person differences in sedentary patterns should be considered to understand the role of sedentary behavior (SB) in the development of childhood obesity. This study took a novel approach based on compositional data analysis to examine associations between SB patterns and adiposity and investigate differences in adiposity associated with time reallocation between time spent in sedentary bouts of different duration and physical activity. METHODS: An analysis of cross-sectional data was performed in 425 children aged 7–12 years (58% girls). Waking behaviors were assessed using ActiGraph GT3X accelerometer for seven consecutive days. Multi-frequency bioimpedance measurement was used to determine adiposity. Compositional regression models with robust estimators were used to analyze associations between sedentary patterns and adiposity markers. To examine differences in adiposity associated with time reallocation, we used the compositional isotemporal substitution model. RESULTS: Significantly higher fat mass percentage (FM%; β(ilr1) = 0.18; 95% CI: 0.01, 0.34; p = 0.040) and visceral adipose tissue (VAT; β(ilr1) = 0.37; 95% CI: 0.03, 0.71; p = 0.034) were associated with time spent in middle sedentary bouts in duration of 10–29 min (relative to remaining behaviors). No significant associations were found for short (< 10 min) and long sedentary bouts (≥30 min). Substituting the time spent in total SB with moderate-to-vigorous physical activity (MVPA) was associated with a decrease in VAT. Substituting 1 h/week of the time spent in middle sedentary bouts with MVPA was associated with 2.9% (95% CI: 1.2, 4.6), 3.4% (95% CI: 1.2, 5.5), and 6.1% (95% CI: 2.9, 9.2) lower FM%, fat mass index, and VAT, respectively. Moreover, substituting 2 h/week of time spent in middle sedentary bouts with short sedentary bouts was associated with 3.5% (95% CI: 0.02, 6.9) lower FM%. CONCLUSIONS: Our findings suggest that adiposity status could be improved by increasing MVPA at the expense of time spent in middle sedentary bouts. Some benefits to adiposity may also be expected from replacing middle sedentary bouts with short sedentary bouts, that is, by taking standing or activity breaks more often. These findings may help design more effective interventions to prevent and control childhood obesity.
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spelling pubmed-71147802020-04-07 Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis Gába, Aleš Pedišić, Željko Štefelová, Nikola Dygrýn, Jan Hron, Karel Dumuid, Dorothea Tremblay, Mark BMC Pediatr Research Article BACKGROUND: Between-person differences in sedentary patterns should be considered to understand the role of sedentary behavior (SB) in the development of childhood obesity. This study took a novel approach based on compositional data analysis to examine associations between SB patterns and adiposity and investigate differences in adiposity associated with time reallocation between time spent in sedentary bouts of different duration and physical activity. METHODS: An analysis of cross-sectional data was performed in 425 children aged 7–12 years (58% girls). Waking behaviors were assessed using ActiGraph GT3X accelerometer for seven consecutive days. Multi-frequency bioimpedance measurement was used to determine adiposity. Compositional regression models with robust estimators were used to analyze associations between sedentary patterns and adiposity markers. To examine differences in adiposity associated with time reallocation, we used the compositional isotemporal substitution model. RESULTS: Significantly higher fat mass percentage (FM%; β(ilr1) = 0.18; 95% CI: 0.01, 0.34; p = 0.040) and visceral adipose tissue (VAT; β(ilr1) = 0.37; 95% CI: 0.03, 0.71; p = 0.034) were associated with time spent in middle sedentary bouts in duration of 10–29 min (relative to remaining behaviors). No significant associations were found for short (< 10 min) and long sedentary bouts (≥30 min). Substituting the time spent in total SB with moderate-to-vigorous physical activity (MVPA) was associated with a decrease in VAT. Substituting 1 h/week of the time spent in middle sedentary bouts with MVPA was associated with 2.9% (95% CI: 1.2, 4.6), 3.4% (95% CI: 1.2, 5.5), and 6.1% (95% CI: 2.9, 9.2) lower FM%, fat mass index, and VAT, respectively. Moreover, substituting 2 h/week of time spent in middle sedentary bouts with short sedentary bouts was associated with 3.5% (95% CI: 0.02, 6.9) lower FM%. CONCLUSIONS: Our findings suggest that adiposity status could be improved by increasing MVPA at the expense of time spent in middle sedentary bouts. Some benefits to adiposity may also be expected from replacing middle sedentary bouts with short sedentary bouts, that is, by taking standing or activity breaks more often. These findings may help design more effective interventions to prevent and control childhood obesity. BioMed Central 2020-04-02 /pmc/articles/PMC7114780/ /pubmed/32241269 http://dx.doi.org/10.1186/s12887-020-02036-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Gába, Aleš
Pedišić, Željko
Štefelová, Nikola
Dygrýn, Jan
Hron, Karel
Dumuid, Dorothea
Tremblay, Mark
Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis
title Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis
title_full Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis
title_fullStr Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis
title_full_unstemmed Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis
title_short Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis
title_sort sedentary behavior patterns and adiposity in children: a study based on compositional data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114780/
https://www.ncbi.nlm.nih.gov/pubmed/32241269
http://dx.doi.org/10.1186/s12887-020-02036-6
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