The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Accelerometers and pedometers: methodology and clinical application
Abstract
PURPOSE OF REVIEW: The relationship between physical activity and health varies considerably, partly due to the difficulty of assessing physical activity accurately. This review examines recent literature on the validation of movement sensors to assess habitual physical activity. Recommendations are given for the use of movement sensors during free-living conditions and methods of data analysis and interpretation are discussed. RECENT FINDINGS: Recent progress in physical-activity research includes detailed comparative studies of different monitor brands. The move away from using linear-regression equations and the use of novel data-analysis strategies is increasing the accuracy with which energy expenditure can be estimated from accelerometry. New technologies, including the combination of accelerometry with the measurement of physiological parameters, have great potential for the increased accuracy of physical-activity assessment. SUMMARY: Accelerometry is able to adequately assess physical activity and its association with health outcomes but currently methods have limited accuracy for the estimation of free-living energy expenditure. Pedometers provide an inexpensive overall measure of physical activity but are unable to assess intensity, frequency and duration of activity or to estimate energy expenditure. Interpretation of monitor output is best kept as close to the measurement domain as possible.
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“When worn on the waist, as in the studies comprising the ICAD, they poorly record upper body physical activity and physical activity when cycling [34]. Thus, in countries with a high prevalence of cycling for transportation (e.g. Denmark), physical activity may be under-estimated.”
From Objectively measured physical activity and sedentary time in youth: the International Children's Accelerometry Database (ICAD) (2015) · cites this paper as [34]
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Cites
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
Conducting accelerometer-based activity assessments in field-based research
TROST, S. G., MCIVER, K. L., & PATE, R. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185657.86065.98 · Cited by 2,033
Andersen, L. B., Harro, M., Sardinha, L. B., Froberg, K., Ekelund, U., Brage, S., & Anderssen, S. A. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69075-2 · Cited by 1,518
Self-citationCalibration of Accelerometer Output for Children
Freedson, P. S., POBER, D. M., & Janz, K. F. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185658.28284.ba · Cited by 1,150
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 Physical Activity Monitors in Children
Puyau, M. R., Adolph, A. L., Vohra, F. A., & Butte, N. F. (2002) · Obesity Research · doi:10.1038/oby.2002.24 · Cited by 1,013
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
Physical activity levels and patterns of 9- and 15-yr-old European children
RIDDOCH, C. J., BO ANDERSEN, L., WEDDERKOPP, N., HARRO, M., KLASSON-HEGGEBØ, L., SARDINHA, L. B., COOPER, A. R., & EKELUND, U. (2004) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000106174.43932.92 · Cited by 900
Self-citationValidity of 10 Electronic Pedometers for Measuring Steps, Distance, and Energy Cost
CROUTER, S. E., SCHNEIDER, P. L., KARABULUT, M., & BASSETT, D. R. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000078932.61440.a2 · Cited by 899
Accelerometer Use in Physical Activity: Best Practices and Research Recommendations
WARD, D. S., EVENSON, K. R., VAUGHN, A., RODGERS, A. B., & TROIANO, R. P. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185292.71933.91 · Cited by 779
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Research works printed but not linked: 4
- Wareham, 1998, Int J Obes, 22, S30
- Puyau, 2004, Med Sci Sports Exerc, 36, 1625
- Janz, 1995, Med Sci Sports Exerc, 27, 1326
- Prentice, 1996, Eur J Appl Physiol, 50, 72
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Physical activity and sleep in extreme weight conditions
Toran, S. S. (2016) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Myers, A. (2017) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
Jenkins, P., Knight, M., Hirabayashi, L., Weil, R., Echard, J., Krupa, N. L., & Sorensen, J. A. (2019) · American Journal of Industrial Medicine · doi:10.1002/ajim.23020
Stone, M., Faulkner, G., & Buliung, R. (2013) · Maladies chroniques et blessures au Canada · doi:10.24095/hpcdp.33.2.02f
Borland, M., Bergfeldt, L., Cider, Å., Rosenkvist, A., Jakobsson, M., Olsson, K., Lundwall, A., Andersson, L., & Nordeman, L. (2020) · Research Square · doi:10.21203/rs.3.rs-136127/v1
Chen, H., & Liu, J. (2021) · Journal of Science in Sport and Exercise · doi:10.1007/s42978-021-00125-1
Measurement and promotion of physical activity
Berendsen, B. (2016) · Research Publications (Maastricht University) · doi:10.26481/dis.20160624bbb · Cited by 1
Roelofse, V. (2020) · DUT Open Scholar (Durban University of Technology) · doi:10.51415/10321/3841
Case-based learning: insulin intensification in a Hindu patient with type 2 diabetes mellitus
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Fonseca, A. M. (2017) · Revista Portuguesa de Ciências do Desporto · doi:10.5628/rpcd.17.s5a.11
Pascual, M. B. (2016) · Revista Española de Educación Física y Deportes · doi:10.55166/reefd.v0i403.446
Shimura, H., Okada, S., Daimaru, K., Deguchi, N., Fujiwara, Y., & Sasai, H. (2025) · Cureus · doi:10.7759/cureus.81328
Evaluating physical activity questionnaires for postpartum women
Pongpanit, K., Belcourt, S., Gagnon, M. L., Gerardi, B.-A., Tran, K., & Bertagnolli, M. (2026) · Maternal Health Neonatology and Perinatology · doi:10.1186/s40748-026-00263-w
The Association Between Incidental Physical Activity and Cardiorespiratory Fitness
Craig-Broadwith, M. M. (2011) · QSpace (Queen's University Library)
Survey of nutrition and physical activity during pregnancy: the SNAP study
Cohen, T. R. (2010) · eScholarship@McGill (McGill) · doi:10.82308/25468
Barrett, S., Begg, S. J., O’Halloran, P., Howlett, O., Lawrence, J., & Kingsley, M. (2021) · Figshare · doi:10.6084/m9.figshare.13544135
Blomqvist, A., Bäck, M., Klompstra, L. V., Strömberg, A., & Jaarsma, T. (2024) · Figshare · doi:10.6084/m9.figshare.25210468
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Blomqvist, A., Bäck, M., Klompstra, L. V., Strömberg, A., & Jaarsma, T. (2024) · Figshare · doi:10.6084/m9.figshare.25210840
Barrett, S., Begg, S. J., O’Halloran, P., Howlett, O., Lawrence, J., & Kingsley, M. (2021) · Figshare · doi:10.6084/m9.figshare.13544126
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Metadata
- Authors
- Corder, K., Brage, S., & Ekelund, U.
- Affiliations
- MRC Epidemiology Unit (GB)
- MRC Elsie Widdowson Laboratory (GB)
- Corresponding author
- Ekelund, Ulf
- Venue
- Current Opinion in Clinical Nutrition and Metabolic Care
- Published
- 2007-09
- Volume
- 10
- Issue
- 5
- Pages
- 597-603
- ISSN
- 1363-1950 (ISSN-L)
- OpenAlex
- W2000814668
- Cited by
- 339
- References
- 73
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 10 · 2023: 8 · 2022: 17 · 2021: 15 · 2020: 19 · 2019: 18 · 2018: 13 · 2017: 20 · 2016: 27 · 2015: 26 · 2014: 29 · 2013: 30 · 2012: 11
- FWCI
- 2.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Clinical Nutrition & Metabolic Care (publishedVersion)
- PubMed (publishedVersion)
- 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 › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Keywords
- accelerometer, pedometers, physical activity measurement, physical activity intensity, measurement accuracy
- MeSH terms
- Activities of Daily Living, Energy Metabolism, Health Status, Humans, Locomotion, Monitoring, Physiologic, Motor Activity, Physical Fitness, Sensitivity and Specificity, Reproducibility of Results, Exercise
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