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Errors in MET Estimates of Physical Activities Using 3.5 ml·kg−1·min−1 as the Baseline Oxygen Consumption
Abstract
Purpose: To compare intensity misclassification and activity MET values using measured RMR (measMET) compared with 3.5 ml·kg−1·min−1 (standMET) and corrected METs [corrMET = mean standMET × (3.5 ÷ Harris-Benedict RMR)] in subgroups. Methods: RMR was measured for 252 subjects following a 4-hr fast and before completion of 11 activities. VO 2 was measured during activity using indirect calorimetry (n = 2555 activities). Subjects were classified by BMI category (normal-weight or overweight/obese), sex, age (decade 20, 30, 40, or 50 y), and fitness quintiles (low to high). Activities were classified into low, moderate, and vigorous intensity categories. Results: The (mean ± SD) measMET was 6.1 ± 2.64 METs. StandMET [mean (95% CI)] was (0.51(0.42, 0.59) METs) less than measMET. CorrMET was not statistically different from measMET (−0.02 (−0.11, 0.06) METs). 12.2% of the activities were misclassified using standMETs compared with an 8.6% misclassification rate for METs based on predicted RMR (P < .0001). StandMET differences and misclassification rates were highest for low fit, overweight, and older individuals while there were no differences when corrMETs were used. Conclusion: Using 3.5 ml·kg−1·min−1 to calculate activity METs causes higher misclassification of activities and inaccurate point estimates of METs than a corrected baseline which considers individual height, weight, and age. These errors disproportionally impact subgroups of the population with the lowest activity levels.
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“Kozey et al.43 have proposed a corrected MET to adjust for individual differences in RMR using the Harris-Benedict RMR equation.38”
From 2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities (2024) · cites this paper as [43]
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2011 Compendium of Physical Activities: A Second Update of Codes and MET Values
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“42 Kozey et al. 43 have proposed a corrected MET to adjust for individual differences in RMR using the Harris-Benedict RMR equation.”
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Self-citationAccelerometer output and MET values of common physical activities
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Self-citationExamining Variations of Resting Metabolic Rate of Adults
McMurray, R. G., Soares, J., Caspersen, C. J., & McCurdy, T. R. (2013) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000232 · Cited by 194
Metadata
- Authors
- Kozey, S., Lyden, K., Staudenmayer, J., & Freedson, P.
- Venue
- Journal of Physical Activity and Health
- Publisher
- Human Kinetics
- Published
- 2010-07
- Volume
- 7
- Issue
- 4
- Pages
- 508-516
- ISSN
- 1543-3080 (ISSN-L)
- 1543-5474
- OpenAlex
- W2162050088
- Cited by
- 119
- References
- 34
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 10 · 2023: 7 · 2022: 11 · 2021: 8 · 2020: 8 · 2019: 14 · 2018: 8 · 2017: 9 · 2016: 8 · 2015: 5 · 2014: 4 · 2013: 9 · 2012: 6
- FWCI
- 4.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Physical Activity and Health (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (R01CA121005)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- resting metabolic rate, Harris-Benedict equation, physical activity energy expenditure, indirect calorimetry, body mass index, fitness level, older adults, overweight and obesity
- MeSH terms
- Adult, Female, Humans, Male, Middle Aged, Oxygen Consumption, Physical Fitness, Reference Values, Exercise, Body Mass Index, Young Adult
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