ArticleChildren (Basel, Switzerland)2018
Wrist-Based Accelerometer Cut-Points to Identify Sedentary Time in 5⁻11-Year-Old Children.
Article in Children (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Associations of parental physical activity and physical fitness with motor competence, physical fitness, anthropometry, and 24-hour movement behaviors in preschool children: A cross-sectional study.Journal of exercise science and fitness · 2026Article
- Device-Based Physical Activity Surveillance in Asian American Children and Adolescents: Participation and Activity Patterns in NHANES 2011-2014.Children (Basel, Switzerland) · 2026Article
- Physical activity and sedentary behaviour of male adolescents in Indonesia during the COVID-19 pandemic: a mixed-method case study using accelerometers, automated wearable cameras, diaries, and interviews.Journal of activity, sedentary and sleep behaviors · 2023Article
- Physical activity and sedentary behaviour of female adolescents in Indonesia: A multi-method study on duration, pattern and context.Journal of exercise science and fitness · 2022Article
- Combining Wearable Devices and Mobile Surveys to Study Child and Youth Development in Malawi: Implementation Study of a Multimodal Approach.JMIR public health and surveillance · 2021Article
- Calibration and Validation of the Youth Activity Profile as a Physical Activity and Sedentary Behaviour Surveillance Tool for English Youth.International journal of environmental research and public health · 2019Article
- Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe objective of this paper is to derive a wrist-placed cut-point threshold for distinguishing sedentary behaviors from light-intensity walking using the ActiGraph GT3X+ in children.
methodsThis study employed a cross-sectional study design, typically used in measurement-related studies. A sample of 167 children, ages 5⁻11 years (mean ± SD: 8.0 ± 1.8 years), performed up to eight seated sedentary activities while wearing accelerometers on both wrists. Activities included: reading books, sorting cards, cutting and pasting, playing board games, eating snacks, playing with tablets, watching TV, and writing. Direct observation verified sedentary behavior from light activity. Receiver operator characteristic (ROC) analyses were used to determine optimal cut-point thresholds. Quantile regression models estimated differences between dominant and non-dominant placement.
resultsThe optimal cut-point threshold for the non-dominant wrist was 203 counts/5 s with sensitivity, specificity, and area under the curve (AUC) of 71.56, 70.83, and 0.72, respectively. A 10-fold cross-validation revealed an average AUC of 0.70. Statistically significant (
conclusionResults from this study support the recommendation to place accelerometers on the non-dominant wrist to minimize "noise" during seated sedentary behaviors.
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