The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Daily physical activity assessment with accelerometers: new insights and validation studies
Open accessAbstract
Summary: The field of application of accelerometry is diverse and ever expanding. Because by definition all physical activities lead to energy expenditure, the doubly labelled water (DLW) method as gold standard to assess total energy expenditure over longer periods of time is the method of choice to validate accelerometers in their ability to assess daily physical activities. The aim of this paper was to provide a systematic overview of all recent (2007–2011) accelerometer validation studies using DLW as the reference. The PubMed Central database was searched using the following keywords: doubly or double labelled or labeled water in combination with accelerometer, accelerometry, motion sensor, or activity monitor. Limits were set to include articles from 2007 to 2011, as earlier publications were covered in a previous review. In total, 38 articles were identified, of which 25 were selected to contain sufficient new data. Eighteen different accelerometers were validated. There was a large variability in accelerometer output and their validity to assess daily physical activity. Activity type recognition has great potential to improve the assessment of physical activity‐related health outcomes. So far, there is little evidence that adding other physiological measures such as heart rate significantly improves the estimation of energy expenditure.
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Cites
Too Much Sitting: The Population Health Science of Sedentary Behavior
Owen, N., Healy, G. N., Matthews, C. E., & Dunstan, D. W. (2010) · Exercise and Sport Sciences Reviews · doi:10.1097/jes.0b013e3181e373a2 · Cited by 2,202
Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06
Healy, G. N., Matthews, C. E., Dunstan, D. W., Winkler, E. A. H., & Owen, N. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehq451 · Cited by 1,368
Objectively Measured Sedentary Time, Physical Activity, and Metabolic Risk
Healy, G. N., Wijndaele, K., Dunstan, D. W., Shaw, J. E., Salmon, J., Zimmet, P. Z., & Owen, N. (2008) · Diabetes Care · doi:10.2337/dc07-1795 · Cited by 1,100
A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
Yang, C.-C., & Hsu, Y.-L. (2010) · Sensors · doi:10.3390/s100807772 · Cited by 1,058
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-citationValidation of the GENEA Accelerometer
ESLIGER, D. W., ROWLANDS, A. V., HURST, T. L., CATT, M., MURRAY, P., & ESTON, R. G. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31820513be · Cited by 625
Westerterp, K. R. (2004) · Nutrition & Metabolism · doi:10.1186/1743-7075-1-5 · Cited by 570
Self-citationPhysical Inactivity and Obesity: A Vicious Circle
Pietiläinen, K. H., Kaprio, J., Borg, P., Plasqui, G., Yki‐Järvinen, H., Kujala, U. M., Rose, R. J., Westerterp, K. R., & Rissanen, A. (2008) · Obesity · doi:10.1038/oby.2007.72 · Cited by 388
Self-citationComparison of two Actigraph models for assessing free-living physical activity in Indian adolescents
Corder, K., Brage, S., Ramachandran, A., Snehalatha, C., Wareham, N., & Ekelund, U. (2007) · Journal of Sports Sciences · doi:10.1080/02640410701283841 · Cited by 120
Krishnaveni, G. V., Veena, S. R., Kuriyan, R., Kishore, R. P., Wills, A. K., Nalinakshi, M., Kehoe, S., Fall, C. H. D., & Kurpad, A. V. (2009) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2009.95 · Cited by 22
Cited by
Age Group Comparability of Raw Accelerometer Output from Wrist- and Hip-Worn Monitors
HILDEBRAND, M., VAN HEES, V. T., HANSEN, B. H., & EKELUND, U. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000289 · Cited by 1,043
Evolution of accelerometer methods for physical activity research
Troiano, R. P., McClain, J. J., Brychta, R. J., & Chen, K. Y. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2014-093546 · Cited by 968
Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
Gravina, R., Alinia, P., Ghasemzadeh, H., & Fortino, G. (2017) · Information Fusion · doi:10.1016/j.inffus.2016.09.005 · Cited by 899
Young, D. R., Hivert, M.-F., Alhassan, S., Camhi, S. M., Ferguson, J. F., Katzmarzyk, P. T., Lewis, C. E., Owen, N., Perry, C. K., Siddique, J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000440 · Cited by 791
Dowd, K. P., Szeklicki, R., Minetto, M. A., Murphy, M. H., Polito, A., Ghigo, E., van der Ploeg, H., Ekelund, U., Maciaszek, J., Stemplewski, R., et al. (2018) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0636-2 · Cited by 385
Metadata
- Authors
- Plasqui, G., Bonomi, A. G., & Westerterp, K. R.
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2013-02-07
- Volume
- 14
- Issue
- 6
- Pages
- 451-462
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W2127870937
- Cited by
- 315
- References
- 10
- FWCI
- 24.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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