The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Calibration of two objective measures of physical activity for children
Abstract
A calibration study was conducted to determine the threshold counts for two commonly used accelerometers, the ActiGraph and the Actical, to classify activities by intensity in children 5 to 8 years of age. Thirty-three children wore both accelerometers and a COSMED portable metabolic system during 15 min of rest and then performed up to nine different activities for 7 min each, on two separate days in the laboratory. Oxygen consumption was measured on a breath-by-breath basis, and accelerometer data were collected in 15-s epochs. Using receiver operating characteristic curve (ROC) analysis, cutpoints that maximised both sensitivity and specificity were determined for sedentary, moderate and vigorous activities. For both accelerometers, discrimination of sedentary behaviour was almost perfect, with the area under the ROC curve at or exceeding 0.98. For both the ActiGraph and Actical, the discrimination of moderate (0.85 and 0.86, respectively) and vigorous activity (0.83 and 0.86, respectively) was acceptable, but not as precise as for sedentary behaviour. This calibration study, using indirect calorimetry, suggests that the two accelerometers can be used to distinguish differing levels of physical activity intensity as well as inactivity among children 5 to 8 years of age.
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In the citing paper
“the cut-point of 574 counts per 15 s was used22 and it has acceptable classification accuracy.23”
From Timing of the decline in physical activity in childhood and adolescence: gateshead millennium cohort study (2018) · cites this paper as [22]
In the citing paper
“MVPA was defined as ≥574 counts per 15 s, light-intensity physical activity (LPA) as between 26 and 573 counts per 15 s, and total SED as ≤25 counts per 15 s, consistent with the widely used Evenson cutoffs (11).”
From Are children like werewolves? Full moon and its association with sleep and activity behaviors in an international sample of children (2016) · cites this paper as [11]
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Chaput, J.-P., Weippert, M., LeBlanc, A. G., Hjorth, M. F., Michaelsen, K. F., Katzmarzyk, P. T., Tremblay, M. S., Barreira, T. V., Broyles, S. T., Fogelholm, M., et al. (2016) · Frontiers in Pediatrics · doi:10.3389/fped.2016.00024 · Cited by 19
Vanhelst, J., Béghin, L., Salleron, J., Ruiz, J. R., Ortega, F. B., Ottevaere, C., Molnar, D., Kafatos, A., Manios, Y., Widhalm, K., et al. (2014) · Journal of Sports Sciences · doi:10.1080/02640414.2013.809473 · Cited by 17
Hashem, R., Rey-Lόpez, J. P., Hamer, M., McMunn, A., Rowlands, A., Whincup, P. H., Owen, C. G., Ding, D., Powell, L., & Stamatakis, E. (2019) · BMC Research Notes · doi:10.1186/s13104-019-4626-0 · Cited by 8
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Metadata
- Authors
- Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Evenson, Kelly R.
- Venue
- Journal of Sports Sciences
- Publisher
- Informa UK Limited
- Published
- 2008-12-15
- Volume
- 26
- Issue
- 14
- Pages
- 1557-1565
- ISSN
- 0264-0414 (ISSN-L)
- 1466-447X
- OpenAlex
- W2141170928
- Cited by
- 2,677
- References
- 43
- Citations by year
- 2026: 117 · 2025: 155 · 2024: 174 · 2023: 161 · 2022: 229 · 2021: 239 · 2020: 239 · 2019: 256 · 2018: 236 · 2017: 173 · 2016: 204 · 2015: 153 · 2014: 143 · 2013: 101 · 2012: 56
- FWCI
- 8.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Sports Sciences (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of North Carolina at Chapel Hill
- National Heart, Lung, and Blood Institute (U01HL066853)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- accelerometer calibration, ActiGraph, Actical, physical activity intensity, children, sedentary behavior, oxygen consumption, indirect calorimetry, children aged 5-8
- MeSH terms
- Calibration, Calorimetry, Indirect, Equipment Design, Exercise Test, Female, Heart Rate, Humans, Male, Motor Activity, Oxygen Consumption, Physical Fitness, ROC Curve, Sensitivity and Specificity, Exercise, Actigraphy
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