Relationship between physical activity and sleep behaviors

Physical activity is an important component of metabolic health. However, little is known about the impact of specific types/intensities of physical activity on sleep health, especially among ethnically diverse populations.

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Unraveling the relationship between sleep behaviors and physical activity in the United States: insights from 2015 to 2020 NHANES data - Journal of Activity, Sedentary and Sleep Behaviors

Background Physical activity is an important component of metabolic health. However, little is known about the impact of specific types/intensities of physical activity on sleep health, especially among ethnically diverse populations. We examined the association of various sleep behaviors with moderate to vigorous work/recreational activity. Methods Self-reported data from the National Health and Nutrition Examination Survey 2015–2020 were cross-sectionally analyzed for a sample of 11,039 participants in the United States (U.S.). Weighted univariate logistic regressions determined unadjusted associations, while weighted multivariable regression models adjusting for age, sex, ethnicity, BMI categories, and socio-economic status assessed the multivariable associations with moderate and vigorous work/recreational activity. Stratified analyses were performed to determine across-group differences by ethnicity and BMI categories. Results Of 11,039 adults (mean age 41 years), 50.7% were female, 59.8% were Non-Hispanic White, 17.8% Hispanic/Latino, 12% Non-Hispanic Black, 6.3% Non-Hispanic Asian, and 4.1% other/multiple ethnicities. Moderate work activity increased the odds of short sleep duration [aOR = 1.42; 95% CI: 1.22, 1.65], snoring [aOR = 1.45; 95% CI: 1.21, 1.73], breath cessation [aOR = 1.37; 95% CI: 1.18, 1.59], and daytime sleepiness [aOR = 1.63; 95% CI: 1.39, 1.91]. Vigorous recreational activity reduced the odds of short sleep duration [aOR = 0.81; 95% CI: 0.71, 0.94] and trouble sleeping [aOR = 0.83; 95% CI: 0.73, 0.96]. Stratified analyses indicated significant ethnicity-based differences in the odds of sleep behaviors across physical activity groups and increased odds of poor sleep behaviors among participants who were underweight, overweight or had obesity. Conclusion Work-related activity was significantly associated with suboptimal sleep behaviors while recreational activity was associated with favorable sleep behaviors. These associations were more pronounced among certain ethnic groups. Further longitudinal investigation is needed to examine the mechanism driving the relationship between sleep behaviors and physical activity.

Background Physical activity is an important component of metabolic health. However, little is known about the impact of specific types/intensities of physical activity on sleep health, especially among ethnically diverse populations. We examined the association of various sleep behaviors with moderate to vigorous work/recreational activity.

Methods Self-reported data from the National Health and Nutrition Examination Survey 2015–2020 were cross-sectionallyanalyzed for a sample of 11,039 participants in the United States (U.S.). Weighted univariate logistic regressionsdetermined unadjusted associations, while weighted multivariable regression models adjusting for age, sex, ethnicity,BMI categories, and socio-economic status assessed the multivariable associations with moderate and vigorous work/recreational activity. Stratified analyses were performed to determine across-group differences by ethnicity and BMI

categories.

Results Of 11,039 adults (mean age 41 years), 50.7% were female, 59.8% were Non-Hispanic White, 17.8% were Hispanic/Latino, 12% were Non-Hispanic Black, 6.3% were Non-Hispanic Asian, and 4.1% were other/multiple ethnicities. Moderate work activity increased the odds of short sleep duration [aOR = 1.42; 95% CI: 1.22, 1.65], snoring [aOR = 1.45; 95% CI: 1.21, 1.73],

breath cessation [aOR = 1.37; 95% CI: 1.18, 1.59], and daytime sleepiness [aOR = 1.63; 95% CI: 1.39, 1.91]. Vigorous recreational activity reduced the odds of short sleep duration [aOR = 0.81; 95% CI: 0.71, 0.94] and trouble sleeping[aOR = 0.83; 95% CI: 0.73, 0.96]. Stratified analyses indicated significant ethnicity-based differences in the odds of sleep behaviors across physical activity groups and increased odds of poor sleep behaviors among participants who were underweight, overweight, or obese.

Conclusion Work-related activity was significantly associated with suboptimal sleep behaviors while recreational activity was associated with favorable sleep behaviors. These associations were more pronounced among certain

ethnic groups. Further longitudinal investigation is needed to examine the mechanism driving the relationship between sleep behaviors and physical activity.

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The SUNRISE Study: Global Perspectives on 24-Hour Movement Behaviors in Early Childhood

Understanding physical activity, sedentary and sleep behaviors (collectively known as 24-hour movement behaviors) in early childhood is essential for supporting healthy growth and development. These movement behaviors interact across the full day to influence health, development, and well-being in preschool children, forming a critical foundation for lifelong health trajectories. The development of integrated 24-hour movement guidelines has underscored the importance of considering these behaviors as a unified construct rather than in isolation.

The International Study of Movement Behaviors in the Early Years (SUNRISE Study) offers a unique opportunity to examine these behaviors at a global scale using harmonized methodologies. By assessing 24-hour movement behaviors using wearable devices, together with potential correlates and health and developmental outcomes among 3- and 4-year-old children across diverse cultural and socioeconomic contexts, the SUNRISE Study enables robust cross-country comparisons and supports the identification of global patterns, inequalities, and context-specific determinants of movement behaviors and their implications for child health and development.

Emerging research has strengthened our understanding of how movement behaviors relate not only to physical health but also to motor competence, cognitive development, and emotional well-being. However, substantial gaps remain, particularly in low- and middle-income countries, many of which are undergoing rapid urbanization that may further influence the development of healthy movement behaviors in young children. Addressing these gaps is essential for generating globally representative evidence to inform the development of equitable and contextually relevant public health policies and interventions, support healthier future generations, and contribute to global priorities such as Sustainable Development Goal 3 (Good Health and Well-Being).

By collating evidence generated across countries with diverse cultural and socioeconomic contexts, this Collection aims to offer a more comprehensive and internationally relevant perspective on early childhood movement behaviors and highlight opportunities for future research, surveillance and policy initiatives.

Potential topics of interest include (but are not limited to):

  • Patterns, composition and/or clustering of movement behaviors
  • Cultural, environmental, and socioeconomic correlates of movement behaviors
  • Adherence to global 24-hour movement guidelines
  • Associations of movement behaviors and health and developmental outcomes
  • Feasibility and implementation of wearable-device measurement of movement behaviors

This Collection supports and amplifies research related to SDG 3, Good Health & Well-Being.

All submissions in this collection undergo the journal’s standard peer review process. Similarly, all manuscripts authored by a Guest Editor(s) will be handled by the Editor-in-Chief. As an open access publication, this journal levies an article processing fee (details here). We recognize that many key stakeholders may not have access to such resources and are committed to supporting participation in this issue wherever resources are a barrier. For more information about what support may be available, please visit OA funding and support, or email OAfundingpolicy@springernature.com or the Editor-in-Chief.

Publishing Model: Open Access

Deadline: Mar 01, 2027