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Related Experiment Video

Updated: Jun 16, 2026

Determining Basal Energy Expenditure and the Capacity of Thermogenic Adipocytes to Expend Energy in Obese Mice
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Determining Basal Energy Expenditure and the Capacity of Thermogenic Adipocytes to Expend Energy in Obese Mice

Published on: November 11, 2021

Recommendations for improved data processing from expired gas analysis indirect calorimetry.

Robert A Robergs1, Dan Dwyer, Todd Astorino

  • 1Exercise and Sports Sciences, University of Western Sydney, Sydney, New South Wales, Australia. r.robergs@uws.edu.au

Sports Medicine (Auckland, N.Z.)
|January 23, 2010
PubMed
Summary

Exercise physiologists lack a standard method for processing indirect calorimetry data. This study proposes consistent data processing strategies to reduce variability in oxygen consumption (VO2) measurements, recommending a unified approach for reliable results.

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Area of Science:

  • Exercise Physiology
  • Cardiorespiratory Fitness Assessment
  • Indirect Calorimetry

Background:

  • No universal standard exists for processing indirect calorimetry data (mixing chamber or breath-by-breath).
  • Variability in oxygen consumption (VO2) processing methods among exercise physiologists is widespread.
  • Current practices for VO2 data processing lack consistency and empirical validation.

Purpose of the Study:

  • To survey exercise physiologists on their current indirect calorimetry data processing methods and attitudes.
  • To demonstrate the impact of common data processing strategies on breath-by-breath VO2 datasets.
  • To propose standardized data processing methods for indirect calorimetry to improve reliability.

Main Methods:

  • Survey of exercise physiologists regarding VO2 data processing techniques.
  • Analysis of breath-by-breath indirect calorimetry data during incremental exercise.
  • Multiple regression analysis to assess VO2 variability using ventilation (VE), FEO2, and FECO2.
  • Application of time-averaged, breath-averaged, and digital filter strategies.

Main Results:

  • Exercise physiologists employ diverse strategies for VO2 data processing, including various time averages and breath averaging.
  • Ventilation (VE), FEO2, and FECO2 collectively explain 96-98% of VO2 breath-by-breath variability.
  • Specific processing methods (30-sec time average, 15-breath running average, 0.04 Hz digital filter) reduce residual error to 10%.

Conclusions:

  • A consistent and empirically refined approach to indirect calorimetry data analysis is crucial for exercise physiologists.
  • Standardized processing methods, such as those proposed, can enhance the reliability of peak or maximal VO2 values.
  • Further research is needed to refine and universally adopt these data processing strategies.