4.5 Article

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

期刊

APPLIED PHYSIOLOGY NUTRITION AND METABOLISM
卷 41, 期 6, 页码 S294-S302

出版社

CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/apnm-2016-0026

关键词

physical activity; sedentary behaviour; sleep; obesity; fitness; metabolic syndrome; cardiovascular disease; compositional analysis; children; youth

资金

  1. Canadian Society for Exercise Physiology
  2. Conference Board of Canada
  3. Healthy Active Living and Obesity Research Group at the Children's Hospital of Eastern Ontario Research Institute
  4. Public Health Agency of Canada
  5. Canadian Research Data Centre Network (CRDCN) from Social Sciences and Humanities Research Council (SSHRC)
  6. Canadian Institutes of Health Research (CIHR)
  7. Canadian Foundation for Innovation (CFI)
  8. Statistics Canada
  9. CIHR New Investigator Salary Award

向作者/读者索取更多资源

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.

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