Trial reportPloS one2014
Examination of different accelerometer cut-points for assessing sedentary behaviors in children.
Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.Sports medicine (Auckland, N.Z.) · 2017Pooled it
- Variability in moderate-to-vigorous physical activity assessment: Comparing tri-axial accelerometry cut-off points in children.Sports medicine and health science · 2026Article
- Comparison of ActiGraph CentrePoint Insight Watch Placement on Dominant and Nondominant Wrists in Young Adults in Free-Living Conditions: Observational Validation Study.JMIR mHealth and uHealth · 2025Observational
- Effects of a physical activity-enhanced curriculum on increasing physical activity and improving physical fitness in preschoolers: Study protocol for a cluster randomized controlled trial (KID-FIT study).Journal of exercise science and fitness · 2025Article
- The use of actigraphy to objectively define motion and function before and after shoulder arthroplasty.Journal of orthopaedics · 2024Article
- The multivariate physical activity signatures associated with body mass index and waist-to-height ratio in 3-5-year-old Norwegian children.Preventive medicine reports · 2022Article
- Multivariate Functional Kernel Machine Regression and Sparse Functional Feature Selection.Entropy (Basel, Switzerland) · 2022Article
- The Dilemma of Analyzing Physical Activity and Sedentary Behavior with Wrist Accelerometer Data: Challenges and Opportunities.Journal of clinical medicine · 2021Review
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- Article
- Accelerometer-Based Physical Activity Levels Differ between Week and Weekend Days in British Preschool Children.Journal of functional morphology and kinesiology · 2019Article
- Article
- Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities.International journal of environmental research and public health · 2019Article
- Coaching and Prompting for Remote Physical Activity Promotion: Study Protocol of a Three-Arm Randomized Controlled Trial (Movingcall).International journal of environmental research and public health · 2019Article
- Wrist-Based Accelerometer Cut-Points to Identify Sedentary Time in 5⁻11-Year-Old Children.Children (Basel, Switzerland) · 2018Article
- Do Young People Ever Sit Still? Variations in Accelerometer Counts, Muscle Activity and Heart Rate across Various Sedentary Activities in Youth.International journal of environmental research and public health · 2018Article
- Parental Education and Pre-School Children's Objectively Measured Sedentary Time: The Role of Co-Participation in Physical Activity.International journal of environmental research and public health · 2018Article
- Objectively measured physical activity patterns, sedentary time and parent-reported screen-time across the day in four-year-old Swedish children.BMC public health · 2017Article
- Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children.Medicine and science in sports and exercise · 2017Article
- Accelerometer-determined physical activity and the cardiovascular response to mental stress in children.Journal of science and medicine in sport · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundPublic health research on sedentary behavior (SB) in youth has heavily relied on accelerometers. However, it has been limited by the lack of consensus on the most accurate accelerometer cut-points as well as by unknown effects caused by accelerometer position (wrist vs. hip) and output (single axis vs. multiple axes). The present study systematically evaluates classification accuracy of different Actigraph cut-points for classifying SB using hip and wrist-worn monitors and establishes new cut-points to enable use of the 3-dimensional vector magnitude data (for both hip and wrist placement).
methodsA total of 125 children ages 7-13 yrs performed 12 randomly selected activities (from a set of 24 different activities) for 5 min each while wearing tri-axial Actigraph accelerometers on both the hip and wrist. The accelerometer data were categorized as either sedentary or non-sedentary minutes using six previously studied cut-points: 100 counts-per-minute (CPM), 200 CPM, 300 CPM, 500 CPM, 800 CPM and 1100 CPM. Classification accuracy was evaluated with Cohen's Kappa (κ) and new cut-points were identified from Receiver Operating Characteristic (ROC).
resultsOf the six cut-points, the 100 CPM value yielded the highest classification accuracy (κ = 0.81) for hip placement. For wrist placement, all of the cut-points produced low classification accuracy (ranges of κ from 0.44 to 0.67). Optimal sedentary cut-points derived from ROC were 554.3 CPM (ROC-AUC of 0.99) for vector magnitude for hip, 1756 CPM (ROC-AUC of 0.94) for vertical axis for wrist, and 3958.3 CPM (ROC-AUC of 0.93) for vector magnitude for wrist placement.
conclusionsThe 100 CPM was supported for use with vertical axis for hip placement, but not for wrist placement. The ROC-derived cut-points can be used to classify youth SB with the wrist and with vector magnitude data.
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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.