The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Accelerometer-Determined Steps per Day inUS Adults
Abstract
INTRODUCTION: The 2005-2006 National Health and Nutrition Examination Survey (NHANES) released, for the first time, the ActiGraph AM-7164 accelerometer-defined step data in addition to time in intensity (defined by activity counts). This accelerometer is known to have a lower sensitivity threshold than accepted pedometers, leading to relatively higher step estimates. PURPOSE: The purpose of this analysis is to provide the population- and sex-specific epidemiology of accelerometer-determined steps per day with and without censoring steps detected at the lowest end of the activity spectrum (i.e., inactivity). METHODS: The analysis sample represents 3744 participants > or =20 yr who had at least one valid day (i.e., at least 10 h) of monitoring. Means (SE) for steps per day were computed using all steps (i.e., uncensored) and again after censoring those steps taken at an intensity <500 activity counts per minute (indicative of inactivity intensity). RESULTS: On average, US adults took 9676 +/- 107 uncensored steps per day or 6540 +/- 106 censored steps per day. CONCLUSIONS: The results of this nationally representative survey indicate that US adults take approximately 10,000 uncensored accelerometer-determined steps per day, which is improbable considering other studies of free-living physical activity in the United States. Until a more valid conversion factor is ascertained for translating accelerometer and pedometer-determined steps, our use of the <500 activity count per minute threshold holds considerable merit.
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“On average, men took 10,578 ± 134 steps per day (mean ± SE) and women took 8882 ± 124 steps per day.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [16]
In the citing paper
“After censoring steps to make them more similar to Yamax pedometer steps per day, the authors concluded that men took 7431 ± 129 steps per day and women took 5756 ± 120 steps per day.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [16]
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Self-citationHow many steps/day are enough? For older adults and special populations
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Self-citationLarge-scale physical activity data reveal worldwide activity inequality
Althoff, T., Sosič, R., Hicks, J. L., King, A. C., Delp, S. L., & Leskovec, J. (2017) · Nature · doi:10.1038/nature23018 · Cited by 1,000
Reducing the energy cost of human walking using an unpowered exoskeleton
Collins, S. H., Wiggin, M. B., & Sawicki, G. S. (2015) · Nature · doi:10.1038/nature14288 · Cited by 967
Shephard, R. J. (2011) · Yearbook of Sports Medicine · doi:10.1016/j.yspm.2011.03.006 · Cited by 888
Metadata
- Authors
- TUDOR-LOCKE, C., JOHNSON, W. D., & KATZMARZYK, P. T.
- Affiliations
- Pennington Biomedical Research Center (US)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2009-07
- Volume
- 41
- Issue
- 7
- Pages
- 1384-1391
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2040562380
- Cited by
- 355
- References
- 24
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 30 · 2023: 10 · 2022: 15 · 2021: 28 · 2020: 20 · 2019: 26 · 2018: 12 · 2017: 16 · 2016: 24 · 2015: 19 · 2014: 14 · 2013: 20 · 2012: 35
- FWCI
- 19.18
- 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 › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- daily step count, accelerometer-measured activity, activity counts, physical activity epidemiology, NHANES, sex differences, adults
- MeSH terms
- Acceleration, Adult, Aged, Aged, 80 and over, Data Collection, Female, Humans, Male, Middle Aged, Motor Activity, Nutrition Surveys, United States, Health Behavior, Confidence Intervals, Walking
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