Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the United States

Valerie Carson; Mark S. Tremblay; Jean-Philippe Chaput; Duncan McGregor; Sebastien Chastin

doi:10.1371/journal.pone.0220009

Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the United States

Valerie Carson, Mark S. Tremblay, Jean-Philippe Chaput, Duncan McGregor, Sebastien Chastin

Physiotherapy

Research output: Contribution to journal › Article

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Abstract

Introduction Compositional data analysis is one appropriate method for co-dependent data, even when data are collected for a subdivision of the 24-hour period, such as the waking day. Objectives were to use compositional analyses to examine the combined and relative associations of sedentary time (ST), light-intensity physical activity (LPA), moderate-intensity physical activity (MPA), and vigorous-intensity physical activity (VPA) with cardiometabolic biomarkers in a representative sample of children and youth. Methods This cross-sectional study included 2544 participants aged 6–17 years from the 2003–2006 United States National Health and Nutrition Examination Survey. ST (

Original language	English
Pages (from-to)	e0220009
Journal	PLoS ONE
Volume	14
Issue number	7
DOIs	https://doi.org/10.1371/journal.pone.0220009
Publication status	Published - 22 Jul 2019

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Carson, V., Tremblay, M. S., Chaput, J-P., McGregor, D., & Chastin, S. (2019). Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the United States. PLoS ONE , 14(7), e0220009. https://doi.org/10.1371/journal.pone.0220009

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Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the United States. / Carson, Valerie; Tremblay, Mark S.; Chaput, Jean-Philippe; McGregor, Duncan; Chastin, Sebastien.

In: PLoS ONE , Vol. 14, No. 7, 22.07.2019, p. e0220009.

Research output: Contribution to journal › Article

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AU - Tremblay, Mark S.

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AU - McGregor, Duncan

AU - Chastin, Sebastien

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AB - Introduction Compositional data analysis is one appropriate method for co-dependent data, even when data are collected for a subdivision of the 24-hour period, such as the waking day. Objectives were to use compositional analyses to examine the combined and relative associations of sedentary time (ST), light-intensity physical activity (LPA), moderate-intensity physical activity (MPA), and vigorous-intensity physical activity (VPA) with cardiometabolic biomarkers in a representative sample of children and youth. Methods This cross-sectional study included 2544 participants aged 6–17 years from the 2003–2006 United States National Health and Nutrition Examination Survey. ST (

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10.1371/journal.pone.0220009

Carson, V. et al (2019) Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the United States
© 2019 Carson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Final published version, 1.14 MBLicence: CC BY