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Compendium of Physical Activities: classification of energy costs of human physical activities
Abstract
A coding scheme is presented for classifying physical activity by rate of energy expenditure, i.e., by intensity. Energy cost was established by a review of published and unpublished data. This coding scheme employs five digits that classify activity by purpose (i.e., sports, occupation, self-care), the specific type of activity, and its intensity as the ratio of work metabolic rate to resting metabolic rate (METs). Energy expenditure in kilocalories or kilocalories per kilogram body weight can be estimated for all activities, specific activities, or activity types. General use of this coding system would enhance the comparability of results across studies using self reports of physical activity.
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“The Compendium provides a consistent MET value, based whenever possible on published studies of energy cost, for scoring PA questionnaires, allowing for improved comparability across studies.4”
From 2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities (2024) · cites this paper as [4]
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“The 2024 Adult Compendium of Physical Activities is the third update of the Compendium of Physical Activities, first published in 1993 and previously updated in 2000 and 2011.”
From 2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities (2024) · cites this paper as [4]
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Bowles, H. R. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh209 · Cited by 100
Vigorous physical activity, mediating biomarkers, and risk of myocardial infarction
CHOMISTEK, A. K., CHIUVE, S. E., JENSEN, M. K., COOK, N. R., & RIMM, E. B. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31821b4d0a · Cited by 99
“A MET score was assigned to each activify based on its energy cost (1).”
Metadata
- Authors
- AINSWORTH, B. E., HASKELL, W. L., LEON, A. S., JACOBS, D. R., MONTOYE, H. J., SALLIS, J. F., & PAFFENBARGER, R. S.
- Affiliations
- University of Minnesota (US)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 1993-01
- Volume
- 25
- Issue
- 1
- Pages
- 71-80
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2045065444
- Cited by
- 4,102
- References
- 0
- Citations by year
- 2026: 63 · 2025: 71 · 2024: 98 · 2023: 112 · 2022: 161 · 2021: 133 · 2020: 126 · 2019: 129 · 2018: 138 · 2017: 145 · 2016: 160 · 2015: 119 · 2014: 169 · 2013: 172 · 2012: 162
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01hl037561-02)
- U.S. Public Health Service (RFA-86-90-P)
- National Heart, Lung, and Blood Institute (HL 36272, 5-RO1-HL-37561)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- physical activity classification, energy expenditure, metabolic equivalents, physical activity intensity, coding scheme, self-reported physical activity, resting metabolic rate, sport, occupational physical activity, self-care
- MeSH terms
- Energy Metabolism, Humans, Leisure Activities
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