Cited by 190Physical Activity and HealthObesity, Physical Activity, DietContext-Aware Activity Recognition Systems

Predictive Validity and Classification Accuracy of ActiGraph Energy Expenditure Equations and Cut-Points in Young Children

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Janssen, Xanne, Cliff, Dylan P., Reilly, John J., Hinkley, Trina, Jones, Rachel A., Batterham, Marijka, Ekelund, Ulf, Brage, Søren +1 more·2013·PLoS ONE

Abstract

OBJECTIVES: Evaluate the predictive validity of ActiGraph energy expenditure equations and the classification accuracy of physical activity intensity cut-points in preschoolers. METHODS: Forty children aged 4-6 years (5.3±1.0 years) completed a ∼150-min room calorimeter protocol involving age-appropriate sedentary, light and moderate-to vigorous-intensity physical activities. Children wore an ActiGraph GT3X on the right mid-axillary line of the hip. Energy expenditure measured by room calorimetry and physical activity intensity classified using direct observation were the criterion methods. Energy expenditure was predicted using Pate and Puyau equations. Physical activity intensity was classified using Evenson, Sirard, Van Cauwenberghe, Pate, Puyau, and Reilly, ActiGraph cut-points. RESULTS: The Pate equation significantly overestimated VO2 during sedentary behaviors, light physical activities and total VO2 (P<0.001). No difference was found between measured and predicted VO2 during moderate-to vigorous-intensity physical activities (P = 0.072). The Puyau equation significantly underestimated activity energy expenditure during moderate-to vigorous-intensity physical activities, light-intensity physical activities and total activity energy expenditure (P<0.0125). However, no overestimation of activity energy expenditure during sedentary behavior was found. The Evenson cut-point demonstrated significantly higher accuracy for classifying sedentary behaviors and light-intensity physical activities than others. Classification accuracy for moderate-to vigorous-intensity physical activities was significantly higher for Pate than others. CONCLUSION: Available ActiGraph equations do not provide accurate estimates of energy expenditure across physical activity intensities in preschoolers. Cut-points of ≤25 counts⋅15 s(-1) and ≥420 counts⋅15 s(-1) for classifying sedentary behaviors and moderate-to vigorous-intensity physical activities, respectively, are recommended.

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  • The accelerometer thresholds used to define MVPA have been shown to provide valid estimates for youth aged 5 years and above, but perform poorly for MVPA in children aged 4-6 years and have not been validated in children under 4 years.

    “Whilst the thresholds used have been shown to provide valid estimates of physical activity intensity for youth aged 5 years and above [36], more recently they have been shown to perform poorly for MVPA in children aged 4–6 years [37] and have not been validated in children under 4 years.”

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References 35 · Cited by 190

Authors
Janssen, X., Cliff, D. P., Reilly, J. J., Hinkley, T., Jones, R. A., Batterham, M., Ekelund, U., Brage, S., & Okely, A. D.
Affiliations
  • University of Wollongong (AU)
  • University of Strathclyde (GB)
  • Deakin University (AU)
  • Addenbrooke's Hospital (GB)
Corresponding author
Janssen, Xanne
Venue
PLoS ONE
Published
2013-11-11
Volume
8
Issue
11
Pages
e79124
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2166309218
Cited by
190
References
35
Citations by year
2026: 7 · 2025: 15 · 2024: 26 · 2023: 7 · 2022: 12 · 2021: 16 · 2020: 20 · 2019: 18 · 2018: 15 · 2017: 19 · 2016: 15 · 2015: 8 · 2014: 11 · 2013: 1
FWCI
8.33
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (acceptedVersion)
  • Research Online (University of Wollongong) (submittedVersion)
  • BIBSYS Brage (BIBSYS (Norway)) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
Funders
  • National Heart Foundation of Australia (CR11S 6099, GIA09S4441)
  • Medical Research Council (MC_UU_12015/3)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
ActiGraph, preschool children, sedentary behavior, light physical activity, moderate-to-vigorous physical activity, accelerometry, classification accuracy
MeSH terms
Adolescent, Child, Child, Preschool, Energy Metabolism, Female, Humans, Male, Models, Biological

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