The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Actigraph GT3X: Validation and Determination of Physical Activity Intensity Cut Points
Open accessAbstract
The aims of this study were: to compare energy expenditure (EE) estimated from the existing GT3X accelerometer equations and EE measured with indirect calorimetry; to define new equations for EE estimation with the GT3X in youth, adults and older people; and to define GT3X vector magnitude (VM) cut points allowing to classify PA intensity in the aforementioned age-groups. The study comprised 31 youth, 31 adults and 35 older people. Participants wore the GT3X (setup: 1-s epoch) over their right hip during 6 conditions of 10-min duration each: resting, treadmill walking/running at 3, 5, 7, and 9 km · h⁻¹, and repeated sit-stands (30 times · min⁻¹). The GT3X proved to be a good tool to predict EE in youth and adults (able to discriminate between the aforementioned conditions), but not in the elderly. We defined the following equations: for all age-groups combined, EE (METs)=2.7406+0.00056 · VM activity counts (counts · min⁻¹)-0.008542 · age (years)-0.01380 · body mass (kg); for youth, METs=1.546618+0.000658 · VM activity counts (counts · min⁻¹); for adults, METs=2.8323+0.00054 · VM activity counts (counts · min⁻¹)-0.059123 · body mass (kg)+1.4410 · gender (women=1, men=2); and for the elderly, METs=2.5878+0.00047 · VM activity counts (counts · min⁻¹)-0.6453 · gender (women=1, men=2). Activity counts derived from the VM yielded a more accurate EE estimation than those derived from the Y-axis. The GT3X represents a step forward in triaxial technology estimating EE. However, age-specific equations must be used to ensure the correct use of this device.
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Cited by
Barnett, 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
Practical Approaches to Prescribing Physical Activity and Monitoring Exercise Intensity
Reed, J. L., & Pipe, A. L. (2016) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2015.12.024 · Cited by 100
Degroote, L., Hamerlinck, G., Poels, K., Maher, C., Crombez, G., De Bourdeaudhuij, I., Vandendriessche, A., Curtis, R. G., & DeSmet, A. (2020) · JMIR mhealth and uhealth · doi:10.2196/16674 · Cited by 60
Objective Measures of Physical Activity and Cardiometabolic and Endocrine Biomarkers
ALESSA, H. B., CHOMISTEK, A. K., HANKINSON, S. E., BARNETT, J. B., ROOD, J., MATTHEWS, C. E., RIMM, E. B., WILLETT, W. C., HU, F. B., & TOBIAS, D. K. (2017) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001287 · Cited by 42
Metadata
- Authors
- Santos-Lozano, A., Santín-Medeiros, F., Cardon, G., Torres-Luque, G., Bailón, R., Bergmeir, C., Ruiz, J., Lucia, A., & Garatachea, N.
- Venue
- International Journal of Sports Medicine
- Publisher
- Georg Thieme Verlag KG
- Published
- 2013-05-22
- Volume
- 34
- Issue
- 11
- Pages
- 975-982
- ISSN
- 0172-4622 (ISSN-L)
- 1439-3964
- OpenAlex
- W2034757894
- Cited by
- 383
- References
- 9
- FWCI
- 11.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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