The DOI matches its Crossref record.
Calibration of Accelerometer Output for Children
Abstract
Understanding the determinants of physical activity behavior in children and youths is essential to the design and implementation of intervention studies to increase physical activity. Objective methods to assess physical activity behavior using various types of motion detectors have been recommended as an alternative to self-report for this population because they are not subject to many of the sources of error associated with children's recall required for self-report measures. This paper reviews the calibration of four different accelerometers used most frequently to assess physical activity and sedentary behavior in children. These accelerometers are the ActiGraph, Actical, Actiwatch, and the RT3 Triaxial Research Tracker. Studies are reviewed that describe the regression modeling approaches used to calibrate these devices using directly measured energy expenditure as the criterion. Point estimates of energy expenditure or count ranges corresponding to different activity intensities from several studies are presented. For a given accelerometer, the count cut points defining the boundaries for 3 and 6 METs vary substantially among the studies reviewed even though most studies include walking, running and free-living activities in the testing protocol. Alternative data processing using the raw acceleration signal is recommended as a possible alternative approach where the actual acceleration pattern is used to characterize activity behavior. Important considerations for defining best practices for accelerometer calibration in children and youths are presented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Comparison of Accelerometer Cut Points for Predicting Activity Intensity in Youth
TROST, S. G., LOPRINZI, P. D., MOORE, R., & PFEIFFER, K. A. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318206476e · Cited by 1,360
The Technology of Accelerometry-Based Activity Monitors: Current and Future
CHEN, K. Y., & BASSETT, D. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185571.49104.82 · Cited by 996
Evolution of accelerometer methods for physical activity research
Troiano, R. P., McClain, J. J., Brychta, R. J., & Chen, K. Y. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2014-093546 · Cited by 968
Accelerometer Use in Physical Activity: Best Practices and Research Recommendations
WARD, D. S., EVENSON, K. R., VAUGHN, A., RODGERS, A. B., & TROIANO, R. P. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185292.71933.91 · Cited by 779
Practical Guide to Measuring Physical Activity
Sylvia, L. G., Bernstein, E. E., Hubbard, J. L., Keating, L., & Anderson, E. J. (2014) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2013.09.018 · Cited by 637
Metadata
- Authors
- FREEDSON, P., POBER, D., & JANZ, K. F.
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2005-11
- Volume
- 37
- Issue
- 11
- Pages
- S523-S530
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W1998879590
- Cited by
- 1,104
- References
- 0
- FWCI
- 11.50
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Calibration of Accelerometer Output for Children. https://app.cochat.ai/papers/10.1249/01.mss.0000185658.28284.ba
- The paper
- FREEDSON, P., POBER, D., & JANZ, K. F. (2005). Calibration of Accelerometer Output for Children. Medicine & Science in Sports & Exercise. https://doi.org/10.1249/01.mss.0000185658.28284.ba
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.