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

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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 languageEnglish
Pages (from-to)e0220009
JournalPLoS ONE
Issue number7
Publication statusPublished - 22 Jul 2019


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