Cited by 339Physical Activity and HealthContext-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

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Accelerometers and pedometers: methodology and clinical application

Corder, Kirsten, Brage, S??ren, Ekelund, Ulf·2007·Current Opinion in Clinical Nutrition and Metabolic Care

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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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Authors: Corder, K., Brage, S., & Ekelund, U.
Affiliations: MRC Epidemiology Unit (GB)
MRC Elsie Widdowson Laboratory (GB)
Corresponding author: Ekelund, Ulf
ORCID: Corder, Kirsten
Brage, S??ren
Ekelund, Ulf
Venue: Current Opinion in Clinical Nutrition and Metabolic Care
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2007-09
Volume: 10
Issue: 5
Pages: 597-603
ISSN: 1363-1950 (ISSN-L)
DOI: 10.1097/mco.0b013e328285d883
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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Accelerometers and pedometers: methodology and clinical application

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