ArticlePloS one2021
Identifying bedrest using waist-worn triaxial accelerometers in preschool children.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01316653 (Growing Right Onto Wellness), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Growing Right Onto Wellness (GROW): Changing Early Childhood Body Mass Index (BMI) Trajectories
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- The Validity, Reliability, and Feasibility of Measurement Tools Used to Assess Sleep of Pre-school Aged Children: A Systematic Rapid Review.Frontiers in pediatrics · 2021Pooled it
- Longitudinal associations between preschoolers' 24-h movement behaviors and development of self-regulation, executive function, vocabulary, and numeracy.BMC public health · 2025Trial
- Prevalence and correlates of 24-hour movement behaviors among Thai preschoolers.Journal of exercise science and fitness · 2026Article
- What Makes Them Move? An Agent-Based Model of Childhood Physical Activity.Childhood obesity (Print) · 2026Article
- Effect of an Outdoor-Focused Licensed Child Care Program on Child, Caregiver, and Educator Outcomes, Inclusion, and Accessibility: Protocol for the Sending Preschoolers Outside (SPROUT) Prospective Cohort Study.JMIR research protocols · 2026Article
- Article
- Article
- Associations Between 24-h Movement Behaviours and Health in 3- and 4-Year-Old Children From a Low-Income Country: The SUNRISE Ethiopia Study.Child: care, health and development · 2025Article
- Clustering of 24-H Movement Behaviours and Its Associations With Eating Behaviours and Adiposity Among Mongolian Preschool Children: A Cross-Sectional Study.Child: care, health and development · 2025Article
- Article
- Leveraging agent-based modeling and a randomized intervention to advance childhood physical activity: A study protocol.PloS one · 2025Article
- Optimal levels of sleep, sedentary behaviour, and physical activity needed to support cognitive function in children of the early years.BMC pediatrics · 2024Article
- Adherence to the WHO physical activity, screen time and sleep guidelines and associations with socio-demographic factors among Ethiopian preschool children: The SUNRISE study.Journal of activity, sedentary and sleep behaviors · 2024Article
- The sleep and activity database for the early years (SADEY) study: design and methods.Journal of activity, sedentary and sleep behaviors · 2024Article
- Sociodemographic factors, parental mental health and movement behaviours in the early years: the SUNRISE Finland study protocol.Journal of activity, sedentary and sleep behaviors · 2024Article
- Examination of physical activity development in early childhood: protocol for a longitudinal cohort study of mother-toddler dyads.BMC pediatrics · 2023Article
- Parental Views on the Acceptability and Feasibility of Measurement Tools Used to Assess Movement Behaviour of Pre-School Children: A Qualitative Study.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo adapt and validate a previously developed decision tree for youth to identify bedrest for use in preschool children.
methodsParents of healthy preschool (3-6-year-old) children (n = 610; 294 males) were asked to help them to wear an accelerometer for 7 to 10 days and 24 hours/day on their waist. Children with ≥3 nights of valid recordings were randomly allocated to the development (n = 200) and validation (n = 200) groups. Wear periods from accelerometer recordings were identified minute-by-minute as bedrest or wake using visual identification by two independent raters. To automate visual identification, chosen decision tree (DT) parameters (block length, threshold, bedrest-start trigger, and bedrest-end trigger) were optimized in the development group using a Nelder-Mead simplex optimization method, which maximized the accuracy of DT-identified bedrest in 1-min epochs against synchronized visually identified bedrest (n = 4,730,734). DT's performance with optimized parameters was compared with the visual identification, commonly used Sadeh's sleep detection algorithm, DT for youth (10-18-years-old), and parental survey of sleep duration in the validation group.
resultsOn average, children wore an accelerometer for 8.3 days and 20.8 hours/day. Comparing the DT-identified bedrest with visual identification in the validation group yielded sensitivity = 0.941, specificity = 0.974, and accuracy = 0.956. The optimal block length was 36 min, the threshold 230 counts/min, the bedrest-start trigger 305 counts/min, and the bedrest-end trigger 1,129 counts/min. In the validation group, DT identified bedrest with greater accuracy than Sadeh's algorithm (0.956 and 0.902) and DT for youth (0.956 and 0.861) (both P<0.001). Both DT (564±77 min/day) and Sadeh's algorithm (604±80 min/day) identified significantly less bedrest/sleep than parental survey (650±81 min/day) (both P<0.001).
conclusionsThe DT-based algorithm initially developed for youth was adapted for preschool children to identify time spent in bedrest with high accuracy. The DT is available as a package for the R open-source software environment ("PhysActBedRest").
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.