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Predictive validity and classification accuracy of ActiGraph energy expenditure equations and cut-points in young
Xanne Janssen1, Dylan P Cliff, John J Reilly
1Interdisciplinary Educational Research Institute, University of Wollongong, Wollongong, New South Wales, Australia.
Insights
ActiGraph equations inaccurately estimate preschooler energy expenditure. Recommended cut-points for sedentary and moderate-to-vigorous physical activity are ≤25 and ≥420 counts⋅15 s⁻¹, respectively.
Area of Science:
- Pediatric Exercise Science
- Biomedical Engineering
- Physical Activity Measurement
Background:
- Accurate measurement of energy expenditure and physical activity intensity is crucial for understanding energy balance in preschoolers.
- ActiGraph devices are widely used to assess physical activity, but their validity in young children requires careful evaluation.
- Existing energy expenditure equations and physical activity intensity cut-points may not be directly applicable to the unique movement patterns of preschoolers.
Purpose of the Study:
- To assess the predictive validity of ActiGraph energy expenditure equations in preschoolers.
- To determine the classification accuracy of various ActiGraph physical activity intensity cut-points in this age group.
- To identify reliable ActiGraph parameters for distinguishing between sedentary, light, and moderate-to-vigorous physical activity in young children.
Main Methods:
- Forty preschoolers (aged 4-6 years) underwent a 150-minute room calorimeter protocol simulating different physical activity intensities.
- Children simultaneously wore an ActiGraph GT3X accelerometer on their hip.
- Criterion measures included direct observation for physical activity intensity and room calorimetry for energy expenditure.
Main Results:
- The Pate equation significantly overestimated energy expenditure during sedentary and light activities, while the Puyau equation underestimated it during moderate-to-vigorous activities.
- No significant differences were found between measured and predicted VO2 during moderate-to-vigorous physical activity for the Pate equation.
- The Evenson cut-point showed higher accuracy for sedentary and light activities, whereas the Pate cut-point was more accurate for moderate-to-vigorous activities.
Conclusions:
- Current ActiGraph energy expenditure equations lack accuracy for preschoolers across different activity intensities.
- Specific ActiGraph cut-points are recommended: ≤25 counts⋅15 s⁻¹ for sedentary behavior and ≥420 counts⋅15 s⁻¹ for moderate-to-vigorous physical activity.
- These findings highlight the need for age-specific calibration of ActiGraph devices in pediatric populations.
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.
