Cited by 187Physical Activity and HealthContext-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure

Foster, Randal C., Lanningham-Foster, Lorraine M., Manohar, Chinmay, McCrady, Shelly K., Nysse, Lana J., Kaufman, Kenton R., Padgett, Denny J., Levine, James A.·2005·Preventive Medicine

Abstract

Background Walking is a widely used approach to increase physical activity levels in obese patients. In this paper, we investigate the precision and accuracy of an ankle-worn dual-axis accelerometer (Stepwatch) and investigate its potential application as a predictor of energy expenditure.Methods Twenty healthy subjects (10 lean, 10 obese) wore spring-levered (Accusplit), piezoelectric (Omron HF-100), and Stepwatch pedometers. Subjects walked on a treadmill at 1, 2, and 3 mph and in a hallway at 1 and 1.85 mph, during which energy expenditure was measured.Results The Stepwatch counted 99.7 +/- 0.67% (mean +/- SEM) of the manual counts. In comparison, the Omron pedometer counted 61 +/- 3.3% and the Accusplit counted 26 +/- 2.8% of the manual counts at 1 mph although all pedometers were accurate (> 98% of counts) at 3 mph. In repeated measures, the Stepwatch produced negligible variance (SD = 0.36) over all speed whereas the other pedometers showed a large amount of variance at all speed (SD = 4-13). Stepwatch counts were predictive of walking energy expenditure corrected by weight (r2 > 0.8).Conclusion The counts from the Stepwatch were virtually identical to the manual counts from a trained investigator and provided a reliable predictor of walking energy expenditure.

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Crossref · 10.1016/j.ypmed.2005.07.006

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Authors
Foster, R. C., Lanningham-Foster, L. M., Manohar, C., McCrady, S. K., Nysse, L. J., Kaufman, K. R., Padgett, D. J., & Levine, J. A.
Affiliations
Mayo Clinic (US)
Corresponding author
Levine, James A.
Venue
Preventive Medicine
Publisher
Elsevier BV
Published
2005-09
Volume
41
Issue
3-4
Pages
778-783
ISSN
0091-7435 (ISSN-L)
OpenAlex
W2004003849
Cited by
187
References
15
Citations by year
2026: 3 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 6 · 2020: 4 · 2019: 9 · 2018: 20 · 2017: 11 · 2016: 17 · 2015: 11 · 2014: 10 · 2013: 13 · 2012: 17
FWCI
5.22
Type
journal article
Language
en
Open access
closed
Locations
  • Preventive Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Mayo Clinic
  • National Institutes of Health
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK063226, R01DK066270, DK 63226, DK 66270, DK-56650, R01DK056650)
Topics
  • Health Sciences › Medicine › Physiology › 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
pedometers, step counting, energy expenditure, measurement precision, measurement accuracy, walking, obesity, physical activity monitoring
MeSH terms
Adult, Ankle, Energy Metabolism, Female, Humans, Male, Middle Aged, Minnesota, Monitoring, Physiologic, Body Mass Index, Walking, Equipment Failure Analysis

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