Effects of Body Mass Index on Step Count Accuracy of Physical Activity Monitors
Abstract
Background: Activity monitors are widely used in research, and are currently being used to study physical activity (PA) trends in the US and Canada. The purpose of this study was to determine if body mass index (BMI) affects the step count accuracy of commonly used accelerometer-based activity monitors during treadmill walking. Methods: Participants were classified into BMI categories and instructed to walk on a treadmill at 3 different speeds (40, 67, and 94 m·min−1) while wearing 4 accelerometer-based activity monitors (ActiGraph GT1M, ActiCal, NL-2000, and StepWatch). Results: There was no significant main effect of BMI on pedometer accuracy. At the slowest speed, all waist-mounted devices significantly underestimated actual steps (P < .001), with the NL-2000 recording the greatest percentage (72%). At the intermediate speed, the ActiGraph was the least accurate, recording only 80% of actual steps. At the fastest speed, all of the activity monitors demonstrated a high level of accuracy. Conclusion: Our data suggest that BMI does not greatly affect the step-counting accuracy of accelerometer-based activity monitors. However, the accuracy of the ActiGraph, ActiCal, and NL-2000 decreases at slower speeds. The ankle-mounted StepWatch was the most accurate device across a wide range of walking speeds.
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Good step counters can record steps within ±3% during walking at 80.4 m/min (3 mph).
“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 [39]
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Step Counting: A Review of Measurement Considerations and Health-Related Applications
Bassett, D. R., Toth, L. P., LaMunion, S. R., & Crouter, S. E. (2017) · Sports Medicine · doi:10.1007/s40279-016-0663-1 · Cited by 460 · see citing works
Self-citationEvaluation of Activity Monitors in Controlled and Free-Living Environments
FEITO, Y., BASSETT, D. R., & THOMPSON, D. L. (2012) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182351913 · Cited by 159 · see citing works
Self-citation
- Authors
- Feito, Y., Bassett, D. R., Thompson, D. L., & Tyo, B. M.
- Affiliations
- Barry University (US)
- Venue
- Journal of Physical Activity and Health
- Publisher
- Human Kinetics
- Published
- 2012-05
- Volume
- 9
- Issue
- 4
- Pages
- 594-600
- ISSN
- 1543-3080 (ISSN-L)
- 1543-5474
- OpenAlex
- W2098042009
- Cited by
- 48
- References
- 0
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 5 · 2018: 4 · 2017: 5 · 2016: 4 · 2015: 5 · 2014: 5 · 2013: 2 · 2012: 5
- FWCI
- 3.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Physical Activity and Health (publishedVersion)
- PubMed (publishedVersion)
- 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 › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- body mass index, step count accuracy, pedometers, treadmill walking, walking speed, ActiGraph GT1M, Actical, physical activity measurement
- MeSH terms
- Acceleration, Adult, Analysis of Variance, Exercise Test, Female, Humans, Male, Motor Activity, Statistics as Topic, United States, Body Mass Index, Walking, Actigraphy
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