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Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

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dc.contributor.authorCarson, V.
dc.contributor.authorTremblay, M.S.
dc.contributor.authorChaput, J.P.
dc.contributor.authorChastin, S.M.F.
dc.date.issued2016
dc.description.abstractThe purpose of this study was to examine the relationships between movement behaviours (sleep duration, sedentary time, physical activity) and health indicators in a representative sample of children and youth using compositional analyses. Cross-sectional findings are based on 4169 children and youth (aged 6-17 years) from cycles 1 to 3 of the Canadian Health Measures Survey. Sedentary time (SB), light-intensity physical activity (LPA), and moderate-to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Sleep duration was subjectively measured. Body mass index z scores, waist circumference, blood pressure, behavioural strengths and difficulties, and aerobic fitness were measured in the full sample. Triglycerides, high-density lipoprotein-cholesterol, C-reactive protein, and insulin were measured in a fasting subsample. The composition of movement behaviours was entered into linear regression models via an isometric log ratio transformation and was found to be associated with all health indicators (p < 0.01). Relative to other movement behaviours, time spent in SB or LPA was positively associated (p < 0.04) and time spent in MVPA or sleep was negatively associated (p < 0.02) with obesity risk markers. Similarly, LPA was positively associated (p < 0.005) and sleep was negatively associated (p < 0.03) with unfavourable behavioural strengths and difficulties scores and systolic blood pressure. Relative to other movement behaviours, time spent in SB was negatively associated (p < 0.001) and time spent in MVPA (p < 0.001) was positively associated with aerobic fitness. Likewise, MVPA was also negatively associated with several cardiometabolic risk markers (p < 0.008). Compositional data analyses provide novel insights into collective health implications of 24-h movement behaviours and can facilitate interesting avenues for future investigations.
dc.identifier.citationApplied Physiology, Nutrition and Metabolism, 2016; 41(6):S294-S302
dc.identifier.doi10.1139/apnm-2016-0026
dc.identifier.issn1715-5312
dc.identifier.issn1715-5320
dc.identifier.urihttps://hdl.handle.net/11541.2/32773
dc.language.isoen
dc.publisherCanadian Science Publishing
dc.rightsCopyright 2016 Canadian Science Publishing
dc.source.urihttp://dx.doi.org/10.1139/apnm-2016-0026
dc.subjectcardiovascular disease
dc.subjectchildren
dc.subjectcompositional analysis
dc.subjectfitness
dc.subjectmetabolic syndrome
dc.subjectobesity
dc.subjectphysical activity
dc.subjectsedentary behaviour
dc.subjectsleep
dc.subjectyouth
dc.titleAssociations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses
dc.typeJournal article
pubs.publication-statusPublished
ror.fileinfo12259130200001831 13259130190001831 Associations between sleep duration, sedentary time, physical
ror.mmsid9916716815201831

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