The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Validity of actigraphs uniaxial and triaxial accelerometers for assessment of physical activity in adults in laboratory conditions
Open accessAbstract
BACKGROUND: Few studies to date have directly compared the Actigraphs GT1M and the GT3X, it would be of tremendous value to know if these accelerometers give similar information about intensities of PA. Knowing if output is similar would have implications for cross-examination of studies. The purpose of the study was to assess the validity of the GT1M and the GT3X Actigraph accelerometers for the assessment of physical activity against oxygen consumption in laboratory conditions. METHODS: Forty-two college-aged participants aged 18-25 years wore the GT1M and the GT3X on their right hip during treadmill exercise at three different speeds, slow walking 4.8 km.h-1, fast walking 6.4 km.h-1, and running 9.7 km.h-1). Oxygen consumption was measured minute-by minute using a metabolic system. Bland-Altman plots were used to assess agreement between activity counts from the GT3X and GT1M, and correlations were assessed the ability of the accelerometers to assess physical activity. RESULTS: Bias for 4.8 km.h-1 was 2814.4 cpm (limits 1211.3 to 4417.4), for 6.4 km.h-1 was 3713.6 cpm (limits 1573.2 to 5854.0), and for 9.7 km.h-1 was-3811.2 cpm (limits 842.1 to 6780.3). Correlations between counts per minute for the GT1M and the GT3X were significantly correlated with VO2 (r = 0.881, p < 0.001; r = 0.810, p < 0.001 respectively). CONCLUSION: The present study showed that both the GT1M and the GT3X accurately measure physical activity when compared to oxygen consumption.
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STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825
Validation and comparison of ActiGraph activity monitors
Sasaki, J. E., John, D., & Freedson, P. S. (2011) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2011.04.003 · Cited by 1,317
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
Comparison of Pedometer and Accelerometer Accuracy under Controlled Conditions
LE MASURIER, G. C., & TUDOR-LOCKE, C. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000064996.63632.10 · Cited by 360
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McDermott, M. M., Spring, B., Berger, J. S., Treat-Jacobson, D., Conte, M. S., Creager, M. A., Criqui, M. H., Ferrucci, L., Gornik, H. L., Guralnik, J. M., et al. (2018) · JAMA · doi:10.1001/jama.2018.3275 · Cited by 211
Lynch, B. M., Nguyen, N. H., Moore, M. M., Reeves, M. M., Rosenberg, D. E., Boyle, T., Vallance, J. K., Milton, S., Friedenreich, C. M., & English, D. R. (2019) · Cancer · doi:10.1002/cncr.32143 · Cited by 171
Lotzke, H., Brisby, H., Gutke, A., Hägg, O., Jakobsson, M., Smeets, R., & Lundberg, M. (2019) · Physical Therapy · doi:10.1093/ptj/pzz020 · Cited by 112
Oesen, S., Halper, B., Hofmann, M., Jandrasits, W., Franzke, B., Strasser, E.-M., Graf, A., Tschan, H., Bachl, N., Quittan, M., et al. (2015) · Experimental Gerontology · doi:10.1016/j.exger.2015.08.013 · Cited by 100
Metadata
- Authors
- Kelly, L. A., McMillan, D. G., Anderson, A., Fippinger, M., Fillerup, G., & Rider, J.
- Venue
- BMC Medical Physics
- Published
- 2013-11-26
- Volume
- 13
- Issue
- 1
- Pages
- 5-5
- ISSN
- 1756-6649 (ISSN-L)
- OpenAlex
- W2022669027
- Cited by
- 220
- References
- 5
- FWCI
- 8.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kelly, L. A., McMillan, D. G., Anderson, A., Fippinger, M., Fillerup, G., & Rider, J. (2013). Validity of actigraphs uniaxial and triaxial accelerometers for assessment of physical activity in adults in laboratory conditions. BMC Medical Physics. https://doi.org/10.1186/1756-6649-13-5
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