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.
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“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]
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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
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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.
