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