The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Validity and Reproducibility of Motion Sensors in Youth: A Systematic Update
Abstract
PURPOSE: To review recently published studies on the reproducibility, validity, and feasibility of motion sensors used to assess physical activity in healthy children and adolescents (2-18 yr). METHODS: On October 2004, a systematic literature search in PubMed, EMBASE, and PsycINFO was performed. This search has been updated on October 2007. In this update, the clinimetric quality of three pedometers (Digi-Walker, Walk4Life, and Sun TrekLINQ) and nine accelerometers (ActiGraph, BioTrainer, StepWatch Activity Monitor, Actiwatch, Actical, Tritrac-R3D, RT3, ActivTracer, and Mini-Motionlogger) has been evaluated and compared using a checklist. RESULTS: Thirty-two recently published clinimetric studies have been reviewed. All 12 motion sensors have been validated in youth in one or more studies. There is strong evidence for moderate validity of the StepWatch in children and adolescents (4-18 yr) and moderate to good validity of the ActiGraph in preschool children and young children (2-8 yr). There is less evidence for the reproducibility and feasibility of the 12 motion sensors. Strong evidence exists for good reproducibility of the ActiGraph in preschool children (2-4 yr). CONCLUSION: Compared to the review performed in 2004, there is increased evidence for the clinimetric quality of pedometers and accelerometers in youth. Most motion sensors seem reproducible, valid, and feasible in assessing physical activity in youth.
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“The use of accelerometer-based measures allows for a more accurate assessment of PA intensity (Butte, Ekelund, & Westerterp, 2012;Cain, Sallis, Conway, Van Dyck, & Calhoon, 2013;De Vries et al., 2009).”
From The effectiveness of school-based physical activity interventions for adolescent girls: a systematic review and meta-analysis (2017) · cites this paper as De Vries et al., 2009
Citations
Cites
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
Using objective physical activity measures with youth: How many days of monitoring are needed?
Trost, S. G., Pate, R. R., Freedson, P. S., Sallis, J. F., & Taylor, W. C. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200002000-00025 · Cited by 1,136
Validation and Calibration of an Accelerometer in Preschool Children
Pate, R. R., Almeida, M. J., McIver, K. L., Pfeiffer, K. A., & Dowda, M. C. (2006) · Obesity · doi:10.1038/oby.2006.234 · Cited by 726
Defining Accelerometer Thresholds for Activity Intensities in Adolescent Girls
The University of North Carolina at Chapel Hill University Libraries (2020) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/zfsn-y805 · Cited by 498
Prediction of activity energy expenditure using accelerometers in children.
Puyau, M. R., Adolph, A. L., Vohra, F. A., Zakeri, I., & Butte, N. F. (2004) · PubMed · Cited by 472
Defining accelerometer thresholds for activity intensities in adolescent girls.
Treuth, M. S., Schmitz, K. H., Catellier, D., McMurray, R. G., Murray, D. M., Almeida, M. J., Going, S. B., Norman, J. E., & Pate, R. R. (2004) · PubMed · Cited by 445
Esliger, D., Copeland, J. L., Barnes, J. D., & Tremblay, M. S. (2005) · Journal of Physical Activity and Health · doi:10.1123/jpah.2.3.366 · Cited by 386
Baquet, G., Stratton, G., Praagh, E. V., & Berthoin, S. (2006) · Preventive Medicine · doi:10.1016/j.ypmed.2006.10.004 · Cited by 370
Predicting Activity Energy Expenditure Using the Actical® Activity Monitor
Heil, D. P. (2006) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2006.10599333 · Cited by 353
Accelerometer Assessment of Physical Activity in Children: An Update
Rowlands, A. V. (2007) · Pediatric Exercise Science · doi:10.1123/pes.19.3.252 · Cited by 342
Cited by
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Systematic review of the validity and reliability of consumer-wearable activity trackers
Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0314-1 · Cited by 1,232
Assessment of Physical Activity and Energy Expenditure: An Overview of Objective Measures
Hills, A. P., Mokhtar, N., & Byrne, N. M. (2014) · Frontiers in Nutrition · doi:10.3389/fnut.2014.00005 · Cited by 649
Owen, M. B., Curry, W. B., Kerner, C., Newson, L., & Fairclough, S. J. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.09.018 · Cited by 280
Hinckson, E. A., & Curtis, A. (2012) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2012.07.022 · Cited by 205
A Review of Preschool Children’s Physical Activity and Sedentary Time Using Objective Measures
Hnatiuk, J. A., Salmon, J., Hinkley, T., Okely, A. D., & Trost, S. G. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.05.042 · Cited by 205
Metadata
- Authors
- DE VRIES, S. I., VAN HIRTUM, H. W. J. E. M., BAKKER, I., HOPMAN-ROCK, M., HIRASING, R. A., & VAN MECHELEN, W.
- Affiliations
- Netherlands Organisation for Applied Scientific Research (NL)
- ORCID
- HOPMAN-ROCK, MARIJKE
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2009-04
- Volume
- 41
- Issue
- 4
- Pages
- 818-827
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2116049436
- Cited by
- 201
- References
- 44
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 9 · 2023: 6 · 2022: 6 · 2021: 8 · 2020: 10 · 2019: 15 · 2018: 7 · 2017: 11 · 2016: 13 · 2015: 9 · 2014: 15 · 2013: 26 · 2012: 17
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- motion sensors, accelerometer, pedometers, physical activity measurement, children and adolescents, validity, reproducibility, feasibility, ActiGraph, preschool children
- MeSH terms
- Adolescent, Child, Child, Preschool, Humans, Monitoring, Physiologic, Movement, Validation Studies as Topic
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