The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Assessment of physical activity in youth
Abstract
Despite much progress with physical activity assessment, the limitations concerning the accurate measurement of physical activity are often amplified in young people due to the cognitive, physiological, and biomechanical changes that occur during natural growth as well as a more intermittent pattern of habitual physical activity in youth compared with adults. This mini-review describes and compares methods to assess habitual physical activity in youth and discusses main issues regarding the use and interpretation of data collected with these techniques. Self-report instruments and movement sensing are currently the most frequently used methods for the assessment of physical activity in epidemiological research; others include heart rate monitoring and multisensor systems. Habitual energy expenditure can be estimated from these input measures with varying degree of uncertainty. Nonlinear modeling techniques, using accelerometry perhaps in combination with physiological parameters like heart rate or temperature, have the greatest potential for increasing the prediction accuracy of habitual physical activity energy expenditure. Although multisensor systems may be more accurate, this must be balanced against feasibility, a balance that shifts with technological and scientific advances and should be considered at the beginning of every new study.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This methodology has been previously used in adolescents, showing an adequate accuracy for moderate to intense exercises [20,21,22].”
From Nutritional Status and Implementation of a Nutritional Education Program in Young Female Artistic Gymnasts (2021) · cites this paper as [21]
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
Cites
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
Brage, S., Brage, N., Franks, P. W., Ekelund, U., Wong, M.-Y., Andersen, L. B., Froberg, K., & Wareham, N. J. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00703.2003 · Cited by 473 · cited 4×
“Below the flex point, the HR-PAEE relationship is more uncertain because heart rate can be raised by environmental conditions such as anxiety, stress, or increased temperature without a corresponding increase in energy expenditure (12).”
BackgroundMethodInfluentialSelf-citationAccuracy of the Actiheart for the assessment of energy expenditure in adults
Crouter, S. E., Churilla, J. R., & Bassett, D. R. (2008) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602766 · Cited by 236
Comparison of PAEE from Combined and Separate Heart Rate and Movement Models in Children
Corder, K., Brage, S., Wareham, N. J., & Ekelund, U. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000176466.78408.cc · Cited by 170
Self-citation(1971) · Pediatrics · doi:10.1542/pedsv47is1fullf · Cited by 148
Intraindividual Variation of Objectively Measured Physical Activity in Children
MATTOCKS, C., LEARY, S., NESS, A., DEERE, K., SAUNDERS, J., KIRKBY, J., BLAIR, S. N., TILLING, K., & RIDDOCH, C. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318030631b · Cited by 125
Ekelund, U., Yngve, A., & Sjöström, M. (1999) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/j.1600-0838.1999.tb00243.x · Cited by 31
Self-citation
Cited by
Kriemler, S., Meyer, U., Martin, E., van Sluijs, E. M. F., Andersen, L. B., & Martin, B. W. (2011) · British Journal of Sports Medicine · doi:10.1136/bjsports-2011-090186 · Cited by 827
Methods of Measurement in epidemiology: Sedentary Behaviour
Atkin, A. J., Gorely, T., Clemes, S. A., Yates, T., Edwardson, C., Brage, S., Salmon, J., Marshall, S. J., & Biddle, S. J. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dys118 · Cited by 518
Self-citationEvaluation of raw acceleration sedentary thresholds in children and adults
Hildebrand, M., Hansen, B. H., van Hees, V. T., & Ekelund, U. (2017) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/sms.12795 · Cited by 425
Assessing Physical Activity Using Wearable Monitors: Measures of Physical Activity
BUTTE, N. F., EKELUND, U., & WESTERTERP, K. R. (2012) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182399c0e · Cited by 359
Self-citationBarnett, T. A., Kelly, A. S., Young, D. R., Perry, C. K., Pratt, C. A., Edwards, N. M., Rao, G., Vos, M. B., & On behalf of the American Heart Association Obesity Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Cardiovascular Disease in the Young; and Stroke Council (2018) · Circulation · doi:10.1161/cir.0000000000000591 · Cited by 249
Metadata
- Authors
- Corder, K., Ekelund, U., Steele, R. M., Wareham, N. J., & Brage, S.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2008-09
- Volume
- 105
- Issue
- 3
- Pages
- 977-987
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2069836499
- Cited by
- 581
- References
- 7
- FWCI
- 22.12
- 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: Assessment of physical activity in youth. https://app.cochat.ai/papers/10.1152/japplphysiol.00094.2008
- The paper
- Corder, K., Ekelund, U., Steele, R. M., Wareham, N. J., & Brage, S. (2008). Assessment of physical activity in youth. Journal of Applied Physiology. https://doi.org/10.1152/japplphysiol.00094.2008
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.
