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Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children
Valerie Carson1, Mark S Tremblay2, Jean-Philippe Chaput2
1a Faculty of Physical Education and Recreation, University of Alberta, Edmonton, AB T6G 2H9, Canada.
Insights
Children and youth’s movement behaviors, including sleep, sedentary time, and physical activity, significantly impact health. Optimizing the balance of these behaviors is key for better health outcomes and reduced obesity risk.
Area of Science:
- Pediatric Health
- Behavioral Science
- Epidemiology
Background:
- Understanding the interplay of sleep, sedentary time, and physical activity is crucial for child and adolescent health.
- Previous research often analyzed movement behaviors in isolation, limiting a holistic view of their collective impact.
Purpose of the Study:
- To investigate the associations between the composition of movement behaviors (sleep, sedentary time, light physical activity, moderate-to-vigorous physical activity) and various health indicators in children and youth.
- To apply compositional data analysis to understand the relative importance of different movement behaviors within a 24-hour period.
Main Methods:
- Utilized data from 4169 Canadian children and youth (aged 6-17 years) from the Canadian Health Measures Survey.
- Employed accelerometer data for sedentary time (SB) and physical activity (LPA, MVPA), and subjective measures for sleep duration.
- Applied compositional data analysis with isometric log ratio transformation in linear regression models to assess associations with health indicators.
Main Results:
- The composition of movement behaviors was significantly associated with all measured health indicators (p < 0.01).
- Sedentary time (SB) and light physical activity (LPA) were linked to increased obesity risk, while moderate-to-vigorous physical activity (MVPA) and sleep were associated with reduced risk.
- SB was negatively associated with aerobic fitness, whereas MVPA showed a positive association. MVPA also correlated with improved cardiometabolic markers.
Conclusions:
- Compositional analysis provides novel insights into the collective health implications of 24-hour movement behaviors in children and youth.
- Findings highlight the importance of balancing sleep, sedentary time, and physical activity for optimal health outcomes.
- This approach can guide future research and interventions focused on optimizing children's daily movement patterns.
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.
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