Using compositional data analysis to explore associations between accumulation of sedentary behaviour and physical activity and biomarkers of cardiometabolic health in children and adolescents: A cross-sectional study
dc.contributor.author
dc.date.accessioned
2024-02-02T09:21:36Z
dc.date.available
2024-02-02T09:21:36Z
dc.date.issued
2022-03
dc.identifier.issn
2095-2546
dc.identifier.uri
dc.description.abstract
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
dc.format.extent
10 p.
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application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation.isformatof
Reproducció digital del document publicat a: https://doi.org/10.1016/j.jshs.2021.03.004
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Journal of Sport and Health Science, 2022, vol. 11, núm. 2, p. 234-243
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Articles publicats (D-IMAE)
dc.rights
Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
dc.rights.uri
dc.source
Verswijveren, Simone J. J. M. Lamb, Karen E. Martín Fernández, Josep Antoni 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. 2022 Using compositional data analysis to explore associations between accumulation of sedentary behaviour and physical activity and biomarkers of cardiometabolic health in children and adolescents: A cross-sectional study Journal Of Sport And Health Science 11 2 234 243
dc.subject
dc.title
Using compositional data analysis to explore associations between accumulation of sedentary behaviour and physical activity and biomarkers of cardiometabolic health in children and adolescents: A cross-sectional study
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
035949
dc.type.peerreviewed
peer-reviewed
dc.identifier.eissn
2213-2961