ArticleThe international journal of behavioral nutrition and physical activity2023
Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents.
Article in The international journal of behavioral nutrition and physical activity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Adherence to Actigraphic Devices in Elementary School-Aged Children: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Temporal Associations of Physical Activity Volume, Intensity, and Timing With Sleep in Preschool-Aged Children.Journal of sleep research · 2026Trial
- Device-Based Physical Activity Surveillance in Asian American Children and Adolescents: Participation and Activity Patterns in NHANES 2011-2014.Children (Basel, Switzerland) · 2026Article
- Validity of the Movement Behavior Questionnaire-Child (MBQ-C) Physical Activity Domain among Toddlers.Research square · 2025Article
- The Relation of Alpha Asymmetry to Physical Activity Duration and Intensity.Brain sciences · 2025Article
- Device-independent Physical Activity metrics and adiposity-related indicators among children and adolescents in the United States.Journal of sports sciences · 2025Article
- "If You Haven't Slept a Lot (…) You Don't Want to Go Out for a Run, You Don't Want to Ride a Bike, You Just Kind of Sit and You Just (…) Do Nothing"-Perceptions of 24-Hour Movement Behaviours Among Adolescents Living with Type 1 Diabetes.International journal of environmental research and public health · 2025Article
- Physical Activity Volume and Intensity for Healthy Body Mass Index and Cardiorespiratory Fitness: Enhancing the Translation of Children's and Adolescents' Accelerometer Physical Activity Reference Values.Scandinavian journal of medicine & science in sports · 2025Article
- Cross-sectional and longitudinal associations between sleep, sedentary behaviour and physical activity with adiposity and cardio-respiratory fitness in school-aged children: a compositional data analysis.Journal of activity, sedentary and sleep behaviors · 2025Article
- Association of Cut-Point Free Metrics and Common Clinical Tests Among Older Adults After Proximal Femoral Fracture.Sensors (Basel, Switzerland) · 2025Article
- Lower Limb Movement during 10-Meter Walk Test: A Dataset with Inertial, Magnetic, and Temperature Sensors.Scientific data · 2025Article
- Relative and absolute intensity accelerometer metrics decipher the effects of age, sex, and occupation on physical activity.BMC public health · 2025Observational
- The 24-hour movement behaviour compositions of children with and without impaired motor coordination: The Moves-UP project.PloS one · 2025Article
- Associations between motor competence and physical activity levels of children with intellectual disabilities and/or autism spectrum disorder: Movement matters.Journal of intellectual disabilities : JOID · 2024Article
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- School-level intra-cluster correlation coefficients and autocorrelations for children's accelerometer-measured physical activity in England by age and gender.BMC medical research methodology · 2024Article
- Physical activity and sleep changes among children during the COVID-19 pandemic.NPJ digital medicine · 2024Article
- Article
- Insulin resistance, C-reactive protein, diastolic to systolic blood pressure ratio and epicardial fat are related to sedentary time, and inversely related to physical activity in school-aged children.Frontiers in public health · 2024Article
- Accelerometer-measured 24-hour movement behaviours over 7 days in Malaysian children and adolescents: A cross-sectional study.PloS one · 2024Article
Corrections and comments
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Authors and funding
17 authors at 7 institutions in 4 countries.
Funding
Abstract
backgroundOver the last decade use of raw acceleration metrics to assess physical activity has increased. Metrics such as Euclidean Norm Minus One (ENMO), and Mean Amplitude Deviation (MAD) can be used to generate metrics which describe physical activity volume (average acceleration), intensity distribution (intensity gradient), and intensity of the most active periods (MX metrics) of the day. Presently, relatively little comparative data for these metrics exists in youth. To address this need, this study presents age- and sex-specific reference percentile values in England youth and compares physical activity volume and intensity profiles by age and sex.
methodsWrist-worn accelerometer data from 10 studies involving youth aged 5 to 15 y were pooled. Weekday and weekend waking hours were first calculated for youth in school Years (Y) 1&2, Y4&5, Y6&7, and Y8&9 to determine waking hours durations by age-groups and day types. A valid waking hours day was defined as accelerometer wear for ≥ 600 min·d
resultsThe analytical sample included 1250 participants. Physical activity peaked between ages 6.5-10.5 y, depending on metric. For all metrics the highest activity levels occurred in less active participants (3
conclusionsPercentile reference values for average acceleration, intensity gradient, and MX metrics have utility in describing age- and sex-specific values for physical activity volume and intensity in youth. There is a need to generate nationally-representative wrist-acceleration population-referenced norms for these metrics to further facilitate health-related physical activity research and promotion.
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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 Socratic graph.