ArticleSleep2021
Dynamics of sleep, sedentary behavior, and moderate-to-vigorous physical activity on school versus nonschool days.
Article in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Associations between 24-hour movement behavior profiles and mental health among Chinese school students: A latent profile analysis.Journal of exercise science and fitness · 2026Article
- Feasibility of dynamic structural equation modeling for capturing micro-level temporal dynamics in adolescent physical activity.BMC public health · 2026Article
- Movement Behaviors and the Role of Self-Reported Symptoms and Well-Being: A Dynamic Structural Equation Modeling Approach Among Head and Neck Cancer Patients.Psycho-oncology · 2025Article
- Methodological Choices on 24-h Movement Behavior Assessment by Accelerometry: A Scoping Review.Sports medicine - open · 2025Review
- Physical Activity and Sedentary Time Among U.S. Adolescents Before and During COVID-19: Findings From a Large Cohort Study.AJPM focus · 2024Article
- Impact of Outdoor Play Structures on Moderate to Vigorous Physical Activity in Children during Recess: A Comparative Study.Children (Basel, Switzerland) · 2024Article
- Physical Literacy for Communities (PL4C): physical literacy, physical activity and associations with wellbeing.BMC public health · 2023Article
- Recent Progress in Long-Term Sleep Monitoring Technology.Biosensors · 2023Review
- Changes in body mass index-z scores in 3-year-old children during the COVID-19 pandemic: a 2-year retrospective cohort study.Revista da Associacao Medica Brasileira (1992) · 2023Article
- Optimizing intervention components for sleep promotion in children in the context of obesity prevention: the SLEEPY 2.0 study protocol.Frontiers in sleep · 2023Article
- Temporal Associations between Actigraphy-Measured Daytime Movement Behaviors and Nap Sleep in Early Childhood.International journal of environmental research and public health · 2022Article
- Sleep and physical activity - the dynamics of bi-directional influences over a fortnight.BMC public health · 2022Article
- Article
- Global effect of COVID-19 pandemic on physical activity, sedentary behaviour and sleep among 3- to 5-year-old children: a longitudinal study of 14 countries.BMC public health · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
STUDY
objectivesStudies examining time-use activity behaviors (sleep, sedentary behavior, and physical activity) on school days compared with nonschool days have examined these behaviors independently, ignoring their interrelated nature, limiting our ability to optimize the health benefits of these behaviors. This study examines the associations of school-day (vs. nonschool day) with time-use activity behaviors.
methodsTime series data (6,642 days) from Fitbits (Charge-2) were collected (n = 196, 53% female, 5-10 years). We used a variable-centered dynamic structural equation modeling approach to estimate day-to-day associations of time-use activity behaviors on school days for each child. We then used person-centered cluster analyses to group individuals based on these estimates.
resultsWithin-participant analysis showed that on school days (vs. nonschool days), children (1) slept less (β = -0.17, 95% CI = -0.21, -0.13), (2) were less sedentary (β = -0.05, 95% CI = -0.09, -0.02), and (3) had comparable moderate-to-vigorous physical activity (MVPA; β = -0.05, 95% CI = -0.11, 0.00). Between-participant analysis showed that, on school days, children with higher sleep carryover experienced greater decreases in sleep (β = 0.44, 95% CI = 0.08, 0.71), children with higher body mass index z-score decreased sedentary behavior more (β = -0.41, 95% CI = -0.64, -0.13), and children with lower MVPA increased MVPA more (β = -0.41, 95% CI -0.64, -0.13). Cluster analysis demonstrated four distinct patterns of connections between time-use activity behaviors and school (High Activity, Sleep Resilient, High Sedentary, and Dysregulated Sleep).
conclusionsUsing a combination of person-centered and more traditional variable-centered approaches, we identified patterns of interrelated behaviors that differed on school, and nonschool days. Findings can inform targeted intervention strategies tailored to children's specific behavior patterns.
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