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]
Citations
Cites
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Self-citationCalibration of Accelerometer Output for Children
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Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,526
Calibration of two objective measures of physical activity for children
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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].”
BackgroundSelf-citationAssessment 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
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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