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

Valerie Carson*, Mark S. Tremblay, Jean-Philippe Chaput, Sebastien F.M. Chastin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

307 Citations (Scopus)
467 Downloads (Pure)

Abstract

The 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.

Original languageEnglish
Pages (from-to)S294-S302
Number of pages9
JournalApplied Physiology, Nutrition, and Metabolism
Volume41
Issue number6 (Suppl. 3)
Early online date16 Jun 2016
DOIs
Publication statusPublished - Jun 2016

Keywords

  • sleep duration
  • physical activity
  • movement behaviours

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