The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Assessment of physical activity: a critical appraisal
Open accessAbstract
Assessment of physical activity in a free-living environment is important for understanding relations between physical activity and health and determining the effectiveness of interventions. Techniques include behavioral observation, questionnaires in the form of diaries, recall questionnaires and interviews, and physiological markers like heart rate, calorimetry, and motion sensors. The doubly labeled water method has become the gold standard for the validation of field methods of assessing physical activity. Then, questionnaires show a low reliability and validity but can be adequately applied as an activity-ranking instrument. The heart rate requires individual calibration to be an effective method to assess physical activity only at group level. The indicated method for the assessment of habitual physical activity in daily life is a doubly labeled water validated accelerometer. Future developments are simultaneous measurement of body acceleration and heart rate for the assessment of physical fitness. A new generation of accelerometers will provide information on body posture and activity recognition to allow objective assessment of subjects' habitual activities, options for a healthy change, and effects of the follow-up of any changes.
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Cites
Limits to the measurement of habitual physical activity by questionnaires
Shephard, R. J. (2003) · British Journal of Sports Medicine · doi:10.1136/bjsm.37.3.197 · Cited by 1,694
Physical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water
Plasqui, G., & Westerterp, K. R. (2007) · Obesity · doi:10.1038/oby.2007.281 · Cited by 654
Self-citationBrage, S., Brage, N., Ekelund, U., Luan, J., Franks, P. W., Froberg, K., & Wareham, N. J. (2006) · European Journal of Applied Physiology · doi:10.1007/s00421-005-0112-6 · Cited by 127
Cited by
Chastin, S. F. M., Palarea-Albaladejo, J., Dontje, M. L., & Skelton, D. A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139984 · Cited by 1,034
“Objective measurements are less prone to error [56], especially for quantifying time spent in MVPA.”
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
A Study on Human Activity Recognition Using Accelerometer Data from Smartphones
Bayat, A., Pomplun, M., & Tran, D. A. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.07.009 · Cited by 531
Garland, T., Schutz, H., Chappell, M. A., Keeney, B. K., Meek, T. H., Copes, L. E., Acosta, W., Drenowatz, C., Maciel, R. C., van Dijk, G., et al. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.048397 · Cited by 444
Buman, M. P., Winkler, E. A. H., Kurka, J. M., Hekler, E. B., Baldwin, C. M., Owen, N., Ainsworth, B. E., Healy, G. N., & Gardiner, P. A. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwt292 · Cited by 427
Metadata
- Authors
- Westerterp, K. R.
- Venue
- European Journal of Applied Physiology
- Published
- 2009-02-11
- Volume
- 105
- Issue
- 6
- Pages
- 823-828
- ISSN
- 0020-9376 (ISSN-L)
- 1439-6319
- 1439-6327
- OpenAlex
- W1983525715
- Cited by
- 459
- References
- 3
- FWCI
- 23.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
