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.

Related Concept Videos

Insufficient Sleep and Sleep Deprivation01:13

Insufficient Sleep and Sleep Deprivation

Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
1.2K
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
522
Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.9K
Lifestyle Factors and Health01:20

Lifestyle Factors and Health

Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
582