PLoS ONENeurosciencePeer-reviewed journal article
Behaviour-based movement cut-off points in 3-year old children comparing wrist- with hip-worn actigraphs MW8 and GT3X
Daniel JanssoniD, Rikard WestlanderiD, Jonas SandlundiD, Christina E. WestiD, Magnus DomellöfiD, Katharina WulffiD
Abstract
IntroductionBehaviour-based physical intensities have not undergone rigorous calibration in long-term recordings of 3-year-old childrens sleep/activity patterns. This study aimed at (i) calibrating activity counts of motor behaviour measured simultaneously with MotionWatch 8 (MW8) and ActiGraph (GT3X) in 3-year-old children, (ii) documenting movement intensities in 30s-epochs at wrist/hip positions, and (iii) evaluating the accuracy of cut-off agreements between different behavioural activities. MethodsThirty 3-year-old children of the NorthPop cohort performed six directed behavioural activities individually, each for 8-10 minutes while wearing two pairs of devices at hip and wrist position. Directly observed naturally-occurring behaviours included: watching cartoons, recumbent story listening, sit and handcraft, floor play with toys, engaging in a walk and a sprinting game. Receiver-Operating-Curve classification was applied to determine activity count thresholds and to assign context-guided, physical activity composite classes. ResultsActivity counts of MW8 and GT3X pairs of wrist-worn (r = 0.94) and hip-worn (r = 0.79) devices correlated significantly (p 0.9) and two sedentary and a motionless activities assigned into physically stationary classes achieved excellent accuracy (AUC >0.8). ConclusionThis study provides useful cut-offs for physical activity levels of preschool children using two different devices. Contextual information of behaviour is advantageous over intensity classifications only, because interventions reallocate time among behaviours, which allows to establish dose-response relationships between behavioural changes and health outcomes. Our comparative calibration is one step forward to inform behaviour-based public health guidelines for 3-year-old children.
- Citations
- 2
- FWCI
- 1.28
- Field percentile
- top 24%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- From Movement to METs: A Validation of ActTrust(R) for Energy Expenditure Estimation and Physical Activity Classification in Young Adults
Elias dos Santos Batista, Stephania Ruth Basílio Silva Gomes, … Mario André Leocádio-Miguel·PLoS ONEPeer-reviewed·May 6, 2026
- Patterns of physical activity in hunter-gatherer children compared with US and UK children.
L. Kretschmer, M. Dyble, … G. D. Salali·bioRxiv·Nov 29, 2023
- Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-worn Sensor: Performance Characterization Study
Nathan Kowahl, Sooyoon Shin, … Ritu Kapur·bioRxiv·Apr 21, 2023
- Classifying smartphone-based accelerometer data to obtain validated measures of subject activity status, step count, and gait speed
Yong Jun Kwon, Thawda Aung, … A Katrin Schenk·bioRxiv·Jul 6, 2017
- Actimetry in infant sleep research: an approach to facilitate comparability
Sarah Fiona Schoch, Oskar G. Jenni, … Salomé Kurth·SLEEPPeer-reviewed·Apr 2, 2019
- Assessing actimeters for inclusion in the Healthy Brain Network
Jon C. Clucas, Curt White, … Arno Klein·bioRxiv·Sep 1, 2017