The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
State of the Art Reviews: Measurement of Physical Activity in Children and Adolescents
Abstract
To date, a wide range of methods has been used to measure physical activity in children and adolescents. These include self-report methods such as questionnaires, activity logs, and diaries as well as objective measures of physical activity such as direct observation, doubly labeled water, heart rate monitoring, accelerometers, and pedometers. The purpose of this review is to overview the methods currently being used to measure physical activity in children and adolescents. For each measurement approach, new developments and/or innovations are identified and discussed. Particular attention is given to the use of accelerometers and the calibration of accelerometer output to units of energy expenditure to developing children.
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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 [22]
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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
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
Self-citationObjective measurement of physical activity and sedentary behaviour: review with new data
Reilly, J. J., Penpraze, V, Hislop, J., Davies, G., Grant, S., & Paton, J. Y. (2008) · Archives of Disease in Childhood · doi:10.1136/adc.2007.133272 · Cited by 564
Daly-Smith, A. J., Zwolinsky, S., McKenna, J., Tomporowski, P. D., Defeyter, M. A., & Manley, A. (2018) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2018-000341 · Cited by 293
Lubans, D. R., Hesketh, K., Cliff, D. P., Barnett, L. M., Salmon, J., Dollman, J., Morgan, P. J., Hills, A. P., & Hardy, L. L. (2011) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00896.x · Cited by 282
Janssen, X., Cliff, D. P., Reilly, J. J., Hinkley, T., Jones, R. A., Batterham, M., Ekelund, U., Brage, S., & Okely, A. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079124 · Cited by 190
A socio-ecological approach to physical activity interventions in childcare: a systematic review
Mehtälä, M. A., Sääkslahti, A., Inkinen, M., & Poskiparta, M. E. (2014) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-11-22 · Cited by 199
Guinhouya, B. C., Samouda, H., & de Beaufort, C. (2013) · Public Health · doi:10.1016/j.puhe.2013.01.020 · Cited by 151
Clinical use of objective measures of physical activity
Trost, S. G., & O'Neil, M. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2013-093173 · Cited by 139
Eddolls, W. T. B., McNarry, M. A., Lester, L., Winn, C. O. N., Stratton, G., & Mackintosh, K. A. (2018) · Quality of Life Research · doi:10.1007/s11136-018-1915-3 · Cited by 124
Eather, N., Morgan, P. J., & Lubans, D. R. (2013) · Preventive Medicine · doi:10.1016/j.ypmed.2012.10.019 · Cited by 110
How, Y. M., Whipp, P., Dimmock, J., & Jackson, B. (2013) · Journal of Teaching in Physical Education · doi:10.1123/jtpe.32.2.131 · Cited by 97
Use of a Two-Regression Model for Estimating Energy Expenditure in Children
CROUTER, S. E., HORTON, M., & BASSETT, D. R. (2012) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182447825 · Cited by 75
Martin, R., & Murtagh, E. M. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.01.019 · Cited by 52
Aguilo, A., Lozano, L., Tauler, P., Nafría, M., Colom, M., & Martínez, S. (2021) · Nutrients · doi:10.3390/nu13051399 · Cited by 23
Steenbock, B., Pischke, C. R., Schönbach, J., Pöttgen, S., & Brand, T. (2015) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-014-2100-7 · Cited by 17
(2015) · Journal of Park and Recreation Administration · Cited by 11
Metadata
- Authors
- Trost, S. G.
- Venue
- American Journal of Lifestyle Medicine
- Publisher
- SAGE Publications
- Published
- 2007-07
- Volume
- 1
- Issue
- 4
- Pages
- 299-314
- ISSN
- 1559-8276 (ISSN-L)
- 1559-8284
- OpenAlex
- W1586985511
- Cited by
- 404
- References
- 1
- FWCI
- 4.75
- 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.