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

•This study was the first to investigate whether activity intensities (sedentary behavior, light-, moderate-, and vigorous-intensity physical activity) in Australian children 7‒13 years old were accumulated in longer or shorter bouts within a 24-h composition and whether these were associated with h...

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Published in:Journal of sport and health science 2022-03, Vol.11 (2), p.234-243
Main Authors: 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.
Format: Article
Language:English
Subjects:
Accumulation patterns
Adolescent
Australia
Cardiometabolic health
Child
Children
Compositional data analysis
Cross-Sectional Studies
Data Analysis
Exercise
Humans
Original
Sedentary Behavior
Time-use
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Summary:•This study was the first to investigate whether activity intensities (sedentary behavior, light-, moderate-, and vigorous-intensity physical activity) in Australian children 7‒13 years old were accumulated in longer or shorter bouts within a 24-h composition and whether these were associated with health risk indicators.•Greater time in longer bouts of light-intensity physical activity, relative to shorter bouts, was significantly associated with greater zBMI and waist circumference.•Accumulating physical activity, particularly light-intensity physical activity, in frequent short bursts may be more beneficial for limiting adiposity in children compared to accumulating the same amount of physical activity at these intensities in longer bouts. 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. 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
ISSN:2095-2546
2213-2961
DOI:10.1016/j.jshs.2021.03.004