Cited by 222Physical Activity and HealthContext-Aware Activity Recognition SystemsCardiovascular and exercise physiology

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A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations

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Lyden, Kate, Kozey, Sarah L., Staudenmeyer, John W., Freedson, Patty S.·2011·European Journal of Applied Physiology

DOI 10.1007/s00421-010-1639-8PMC PMC3432480

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Abstract

Numerous accelerometers and prediction methods are used to estimate energy expenditure (EE). Validation studies have been limited to small sample sizes in which participants complete a narrow range of activities and typically validate only one or two prediction models for one particular accelerometer. The purpose of this study was to evaluate the validity of nine published and two proprietary EE prediction equations for three different accelerometers. Two hundred and seventy-seven participants completed an average of six treadmill (TRD) (1.34, 1.56, 2.23 ms(-1) each at 0 and 3% grade) and five self-paced activities of daily living (ADLs). EE estimates were compared with indirect calorimetry. Accelerometers were worn while EE was measured using a portable metabolic unit. To estimate EE, 4 ActiGraph prediction models were used, 5 Actical models, and 2 RT3 proprietary models. Across all activities, each equation underestimated EE (bias -0.1 to -1.4 METs and -0.5 to -1.3 kcal, respectively). For ADLs EE was underestimated by all prediction models (bias -0.2 to -2.0 and -0.2 to -2.8, respectively), while TRD activities were underestimated by seven equations, and overestimated by four equations (bias -0.8 to 0.2 METs and -0.4 to 0.5 kcal, respectively). Misclassification rates ranged from 21.7 (95% CI 20.4, 24.2%) to 34.3% (95% CI 32.3, 36.3%), with vigorous intensity activities being most often misclassified. Prediction equations did not yield accurate point estimates of EE across a broad range of activities nor were they accurate at classifying activities across a range of intensities (light <3 METs, moderate 3-5.99 METs, vigorous ≥ 6 METs). Current prediction techniques have many limitations when translating accelerometer counts to EE.

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Authors: Lyden, K., Kozey, S. L., Staudenmeyer, J. W., & Freedson, P. S.
Affiliations: University of Massachusetts Amherst (US)
Corresponding author: Lyden, Kate
ORCID: Lyden, Kate
Freedson, Patty S.
Venue: European Journal of Applied Physiology
Publisher: Springer Science and Business Media LLC
Published: 2010-09-15
Volume: 111
Issue: 2
Pages: 187-201
ISSN: 0020-9376 (ISSN-L)
1439-6319
1439-6327
DOI: 10.1007/s00421-010-1639-8
PMC: PMC3432480
OpenAlex: W2092417862
Cited by: 222
References: 25
Citations by year: 2026: 4 · 2025: 5 · 2024: 10 · 2023: 7 · 2022: 11 · 2021: 13 · 2020: 14 · 2019: 25 · 2018: 20 · 2017: 17 · 2016: 18 · 2015: 15 · 2014: 25 · 2013: 18 · 2012: 12
FWCI: 8.23
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springer.com/tdm (tdm)
Locations: European Journal of Applied Physiology (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Scholarworks (University of Massachusetts Amherst) (submittedVersion)
ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (submittedVersion)
Funders: National Institutes of Health
National Cancer Institute (CA121005, R01CA121005)
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: equation validation, ActiGraph, Actical, reverse T3, activities of daily living, treadmill walking, activity intensity classification, underestimation of energy expenditure, indirect calorimetry
MeSH terms: Acceleration, Adult, Basal Metabolism, Endocrinology, Energy Metabolism, Exercise Test, Female, Humans, Male, Middle Aged, Prognosis, Models, Statistical, Mathematical Concepts, Young Adult, Actigraphy

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A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations

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