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Accuracy of five electronic pedometers for measuring distance walked
Abstract
This is a three-part study that examined the accuracy of five brands of electronic pedometers (Freestyle Pacer, Eddie Bauer, L.L. Bean, Yamax, and Accusplit) under a variety of different conditions. In Part I, 20 subjects walked a 4.88-km sidewalk course while wearing two devices of the same brand (on the left and right side of the body) for each of five different trials. There were significant differences among pedometers (P < 0.05), with the Yamax, Pacer, and Accusplit approximating the actual distance more closely than the other models. The Yamax pedometers showed close agreement, but the left and right Pacer pedometers differed significantly (P = 0.0003) and the Accusplit displayed a similar trend (P = 0.0657). In Part II, the effects of walking surface on pedometer accuracy were examined. Ten of the original subjects completed an additional five trials around a 400-m rubberized outdoor track. The devices showed similar values for sidewalk and track surfaces. In Part III, the effects of walking speed on pedometer accuracy were examined. Ten different subjects walked on a treadmill at various speeds (54, 67, 80, 94, and 107 m.min-1). Pedometers that displayed both distance and number of steps were examined. The Yamax was more accurate than the Pacer and Eddie Bauer at slow-to-moderate speeds (P < 0.05), though no significant differences were seen at the fastest speed. While there are variations among brands in terms of accuracy, electronic pedometers may prove useful in recording walking activities in free-living populations.
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“One pedometer (Yamax DW-500) was found to be more accurate and reliable than others [12].”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [12]
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“Good step counters can record steps within this range during walking at 80.4 m/min, or 3 mph [12, 18, 24, 38, 39].”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [12]
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Thilarajah, S., Clark, R. A., & Williams, G. P. (2016) · Brain Impairment · doi:10.1017/brimp.2016.1 · Cited by 23
Measurement of Physical Activity and Inactivity in Epidemiologic Studies
Pettee, K. K., Storti, K. L., Ainsworth, B. E., & Kriska, A. M. (2008) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195183009.003.0002 · Cited by 25
Self-citationMeasurement of children's physical activity using a pedometer with a built-in memory
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Metadata
- Authors
- BASSETT, D. R., AINSWORTH, B. E., LEGGETT, S. R., MATHIEN, C. A., MAIN, J. A., HUNTER, D. C., & DUNCAN, G. E.
- Affiliations
- University of South Carolina (US)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 1996-08
- Volume
- 28
- Issue
- 8
- Pages
- 1071-1077
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2003135851
- Cited by
- 552
- References
- 12
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 8 · 2022: 6 · 2021: 4 · 2020: 7 · 2019: 14 · 2018: 12 · 2017: 13 · 2016: 24 · 2015: 12 · 2014: 18 · 2013: 30 · 2012: 27
- FWCI
- 2.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (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 › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Keywords
- walking distance, walking speed, walking surfaces, step counting
- MeSH terms
- Adolescent, Adult, Aged, Electronics, Equipment and Supplies, Female, Humans, Male, Middle Aged, Exercise, Walking
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