ArticleBMC public health2019
Accelerometer-derived physical activity estimation in preschoolers - comparison of cut-point sets incorporating the vector magnitude vs the vertical axis.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Adherence to the World Health Organization's physical activity recommendation in preschool-aged children: a systematic review and meta-analysis of accelerometer studies.The international journal of behavioral nutrition and physical activity · 2023Pooled it
- Genetic variants related to physical activity or sedentary behaviour: a systematic review.The international journal of behavioral nutrition and physical activity · 2021Pooled it
- The Impact of Parental Engagement in an Electronic Health (EHealth) Intervention on Physical Activity, Dietary Behaviors, and Sleep in Preschool-Aged Children.International journal of environmental research and public health · 2026Trial
- Impact of cut-point methods on classification of physical activity and sedentary behaviour of toddlers.BMC public health · 2025Trial
- Effectiveness of a Parent-Based eHealth Intervention on Physical Activity, Dietary Behaviors, and Sleep in Preschoolers: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Variability in moderate-to-vigorous physical activity assessment: Comparing tri-axial accelerometry cut-off points in children.Sports medicine and health science · 2026Article
- Lipid and glucose profiles in children and adolescents: associations with body composition and metabolic risk factors-a cross-sectional study.Scientific reports · 2026Article
- The Mediating Effect of Physical Fitness on the Relationship Between Developmental Coordination Disorder and Physical Activity in School-Aged Children-An Observational Study.Life (Basel, Switzerland) · 2026Article
- Linking Socio-Behavioral Health and Accelerometer Wear Time in Caregiver-Preschooler Dyads: The Moderating Role of Coping Strategies.Mental health and physical activity · 2026Article
- Physical activity and sedentary pattern compositions and cardiometabolic risk in preschoolers.Journal of activity, sedentary and sleep behaviors · 2025Article
- Reporting of Accelerometry in Health Research: A Scoping Review of Current Guidance.Scandinavian journal of medicine & science in sports · 2025Article
- Predicting sleep based on physical activity, light exposure, and Heart rate variability data using wearable devices.Annals of medicine · 2024Article
- Preschoolers' Moderate-to-Vigorous Physical Activity Measured by a Tri-Axial Accelerometer: Compliance with International Guidelines and Different Cut-Points.Children (Basel, Switzerland) · 2024Article
- Effectiveness of a Parent-Based eHealth Intervention for Physical Activity, Dietary Behavior, and Sleep Among Preschoolers: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2024Article
- Moderating effects of demographic characteristics on the relationship between parenting practices and energy balance related behaviors of Chinese preschoolers.Frontiers in public health · 2024Article
- Multiple imputation approaches for epoch-level accelerometer data in trials.Statistical methods in medical research · 2023Article
- Quantitative measurement of finger usage in stroke hemiplegia using ring-shaped wearable devices.Journal of neuroengineering and rehabilitation · 2023Article
- Machine Learning-Based Aggression Detection in Children with ADHD Using Sensor-Based Physical Activity Monitoring.Sensors (Basel, Switzerland) · 2023Article
- How is Physical Activity Measured in Spinal Muscular Atrophy and Duchenne Muscular Dystrophy?Journal of neuromuscular diseases · 2023Review
- TWO-SAMPLE TESTS FOR MULTIVARIATE REPEATED MEASUREMENTS OF HISTOGRAM OBJECTS WITH APPLICATIONS TO WEARABLE DEVICE DATA.The annals of applied statistics · 2022Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundActiGraph accelerometers are a widely used tool to objectively measure physical activity (PA) behavior in young children and several validated cut-point sets exist to estimate time spent in different PA intensities (sedentary time, light PA, moderate-to-vigorous PA). Applying different cut-point sets leads to large and meaningful differences in results. So far, only cut-point sets validated for the vertical axis have been compared and only the influence on time spent in moderate-to-vigorous PA has been analyzed.
methodsA range of validated cut-point sets with their respective epoch length was applied to analyze cross-sectional data of the Swiss Preschoolers' Health Study (SPLASHY): 1) Vertical axis in combination with an epoch length of 15 s (VA-15), 2) Vertical axis in combination with an epoch length of 60 s (VA-60) and 3) Vector magnitude in combination with an epoch length of 60 s (VM-60). PA was measured for eight consecutive days using ActiGraph accelerometers (wGT3X-BT). Three days were required to be included in the analysis (minimum two weekdays and one weekend-day with at least ten hours recording per day).
resultsFour hundred forty-five preschoolers (mean age 3.9 ± 0.5 years; 46% girls) had valid accelerometer measurements. A longer epoch (VA-60 vs VA-15) resulted in 2% less sedentary time (ST), 18% more light PA (LPA) and 51% less moderate-to-vigorous PA (MVPA); using the vector magnitude compared to the vertical axis (VM-60 vs VA-60) resulted in 34% less ST, 27% more LPA and 63% more MVPA (all p ≤ 0.001). Comparing all three sets of cut-points, ST ranged from 4.0 to 6.2 h, LPA from 5.1 to 7.6 h and MVPA from 0.8 to 1.6 h.
conclusionsEstimated time spent in different PA intensities was strongly influenced by the choice of cut-point sets. Both, axis selection and epoch length need to be considered when comparing different studies especially when they relate PA behavior to health. The differences in the prevalence of children fulfilling PA guidelines highlight the relevance of these findings.
trial registrationCurrent Controlled Trials ISRCTN41045021 (date of registration: 21.03.2014).
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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.