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Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health

PURPOSE: The study aimed to describe youth time-use compositions, focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity (PA), and to examine associations of these time-use compositions with cardiometabolic biomarkers. METHODS: Accelerometer and cardiometaboli...

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Autores principales: Verswijveren, Simone J.J.M., Lamb, Karen E., Martín-Fernández, Josep A., Winkler, Elisabeth, Leech, Rebecca M., Timperio, Anna, Salmon, Jo, Daly, Robin M., Cerin, Ester, Dunstan, David W., Telford, Rohan M., Telford, Richard D., Olive, Lisa S., Ridgers, Nicola D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shanghai University of Sport 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068553/
https://www.ncbi.nlm.nih.gov/pubmed/33737239
http://dx.doi.org/10.1016/j.jshs.2021.03.004
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author Verswijveren, Simone J.J.M.
Lamb, Karen E.
Martín-Fernández, Josep A.
Winkler, Elisabeth
Leech, Rebecca M.
Timperio, Anna
Salmon, Jo
Daly, Robin M.
Cerin, Ester
Dunstan, David W.
Telford, Rohan M.
Telford, Richard D.
Olive, Lisa S.
Ridgers, Nicola D.
author_facet Verswijveren, Simone J.J.M.
Lamb, Karen E.
Martín-Fernández, Josep A.
Winkler, Elisabeth
Leech, Rebecca M.
Timperio, Anna
Salmon, Jo
Daly, Robin M.
Cerin, Ester
Dunstan, David W.
Telford, Rohan M.
Telford, Richard D.
Olive, Lisa S.
Ridgers, Nicola D.
author_sort Verswijveren, Simone J.J.M.
collection PubMed
description PURPOSE: The study aimed to describe youth time-use compositions, focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity (PA), and to examine associations of these time-use compositions with cardiometabolic biomarkers. METHODS: Accelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7–13 years old were pooled (complete cases with accelerometry and adiposity marker data, n = 782). A 9-component time-use composition was formed using compositional data analysis: time in shorter and longer bouts of sedentary behavior; time in shorter and longer bouts of light-, moderate-, or vigorous-intensity PA; and “other time” (i.e., non-wear/sleep). Shorter and longer bouts of sedentary time were defined as <5 min and ≥5 min, respectively. Shorter bouts of light-, moderate-, and vigorous-intensity PA were defined as <1 min; longer bouts were defined as ≥1 min. Regression models examined associations between overall time-use composition and cardiometabolic biomarkers. Then, associations were derived between ratios of longer activity patterns relative to shorter activity patterns, and of each intensity level relative to the other intensity levels and “other time”, and cardiometabolic biomarkers. RESULTS: Confounder-adjusted models showed that the overall time-use composition was associated with adiposity, blood pressure, lipids, and the summary score. Specifically, more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score (zBMI) (β = 1.79; SE = 0.68) and waist circumference (β = 18.35, SE = 4.78). When each activity intensity was considered relative to all higher intensities and “other time”, more time in light- and vigorous-intensity PA, and less time in sedentary behavior and moderate-intensity PA, were associated with lower waist circumference. CONCLUSION: Accumulating PA, particularly light-intensity PA, in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts.
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spelling pubmed-90685532022-05-09 Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health Verswijveren, Simone J.J.M. Lamb, Karen E. Martín-Fernández, Josep A. Winkler, Elisabeth Leech, Rebecca M. Timperio, Anna Salmon, Jo Daly, Robin M. Cerin, Ester Dunstan, David W. Telford, Rohan M. Telford, Richard D. Olive, Lisa S. Ridgers, Nicola D. J Sport Health Sci Original Article PURPOSE: The study aimed to describe youth time-use compositions, focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity (PA), and to examine associations of these time-use compositions with cardiometabolic biomarkers. METHODS: Accelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7–13 years old were pooled (complete cases with accelerometry and adiposity marker data, n = 782). A 9-component time-use composition was formed using compositional data analysis: time in shorter and longer bouts of sedentary behavior; time in shorter and longer bouts of light-, moderate-, or vigorous-intensity PA; and “other time” (i.e., non-wear/sleep). Shorter and longer bouts of sedentary time were defined as <5 min and ≥5 min, respectively. Shorter bouts of light-, moderate-, and vigorous-intensity PA were defined as <1 min; longer bouts were defined as ≥1 min. Regression models examined associations between overall time-use composition and cardiometabolic biomarkers. Then, associations were derived between ratios of longer activity patterns relative to shorter activity patterns, and of each intensity level relative to the other intensity levels and “other time”, and cardiometabolic biomarkers. RESULTS: Confounder-adjusted models showed that the overall time-use composition was associated with adiposity, blood pressure, lipids, and the summary score. Specifically, more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score (zBMI) (β = 1.79; SE = 0.68) and waist circumference (β = 18.35, SE = 4.78). When each activity intensity was considered relative to all higher intensities and “other time”, more time in light- and vigorous-intensity PA, and less time in sedentary behavior and moderate-intensity PA, were associated with lower waist circumference. CONCLUSION: Accumulating PA, particularly light-intensity PA, in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts. Shanghai University of Sport 2022-03 2021-03-15 /pmc/articles/PMC9068553/ /pubmed/33737239 http://dx.doi.org/10.1016/j.jshs.2021.03.004 Text en © 2021 Published by Elsevier B.V. on behalf of Shanghai University of Sport. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Verswijveren, Simone J.J.M.
Lamb, Karen E.
Martín-Fernández, Josep A.
Winkler, Elisabeth
Leech, Rebecca M.
Timperio, Anna
Salmon, Jo
Daly, Robin M.
Cerin, Ester
Dunstan, David W.
Telford, Rohan M.
Telford, Richard D.
Olive, Lisa S.
Ridgers, Nicola D.
Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health
title Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health
title_full Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health
title_fullStr Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health
title_full_unstemmed Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health
title_short Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health
title_sort using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068553/
https://www.ncbi.nlm.nih.gov/pubmed/33737239
http://dx.doi.org/10.1016/j.jshs.2021.03.004
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