A Statistical Method and Tool to Account for Indirect Calorimetry Differential Measurement Error in a Single-Subject Analysis
- PMID: 27242546
- PMCID: PMC4863070
- DOI: 10.3389/fphys.2016.00172
A Statistical Method and Tool to Account for Indirect Calorimetry Differential Measurement Error in a Single-Subject Analysis
Abstract
Indirect calorimetry and oxygen consumption (VO2) are accepted tools in human physiology research. It has been shown that indirect calorimetry systems exhibit differential measurement error, where the error of a device is systematically different depending on the volume of gas flow. Moreover, systems commonly report multiple decimal places of precision, giving the clinician a false sense of device accuracy. The purpose of this manuscript is to demonstrate the use of a novel statistical tool which models the reliability of two specific indirect calorimetry systems, Douglas bag and Parvomedics 2400 TrueOne, as univariate normal distributions and implements the distribution overlapping coefficient to determine the likelihood that two VO2 measures are the same. A command line implementation of the tool is available for the R programming language as well as a web-based graphical user interface (GUI). This tool is valuable for clinicians performing a single-subject analysis as well as researchers interested in determining if their observed differences exceed the error of the device.
Keywords: VO2; cost of transport; exercise testing; indirect calorimetry; research methods.
Figures





Similar articles
-
The Ventilation-Corrected ParvoMedics TrueOne 2400 Provides a Valid and Reliable Assessment of Resting Metabolic Rate (RMR) in Athletes Compared With the Douglas Bag Method.Int J Sport Nutr Exerc Metab. 2016 Oct;26(5):454-463. doi: 10.1123/ijsnem.2015-0315. Epub 2016 Aug 24. Int J Sport Nutr Exerc Metab. 2016. PMID: 26841437
-
Accuracy and reliability of the ParvoMedics TrueOne 2400 and MedGraphics VO2000 metabolic systems.Eur J Appl Physiol. 2006 Sep;98(2):139-51. doi: 10.1007/s00421-006-0255-0. Epub 2006 Aug 3. Eur J Appl Physiol. 2006. PMID: 16896734
-
Determining day-to-day human variation in indirect calorimetry using Bayesian decision theory.Exp Physiol. 2018 Dec;103(12):1579-1585. doi: 10.1113/EP087115. Epub 2018 Oct 17. Exp Physiol. 2018. PMID: 30334310
-
Indirect calorimetry in critically ill patients: clinical applications and practical advice.Nutrition. 1997 Apr;13(4):349-58. doi: 10.1016/s0899-9007(97)83059-6. Nutrition. 1997. PMID: 9178287 Review.
-
Indirect calorimetry: an indispensable tool to understand and predict obesity.Eur J Clin Nutr. 2017 Mar;71(3):318-322. doi: 10.1038/ejcn.2016.220. Epub 2016 Nov 16. Eur J Clin Nutr. 2017. PMID: 27848941 Review.
Cited by
-
Comment on: "A Method to Stop Analyzing Random Error and Start Analyzing Differential Responders to Exercise".Sports Med. 2020 Feb;50(2):431-434. doi: 10.1007/s40279-019-01249-9. Sports Med. 2020. PMID: 31853870 No abstract available.
References
-
- Adler J. (2010). R in a Nutshell: A Desktop Quick Reference. Sebastopol, CA: O'Reilly Media, Inc.
-
- Carroll R. J. (2005). Measurement error in epidemiologic studies, in Encyclopedia of Biostatistics, Vol. 6, eds Armitage P., Colton T. (Hoboken, NJ: Wiley; ). 10.1002/0470011815.b2a03082 - DOI
-
- Douglas C. G. (1911). A method for determinng the total respiratory exchange in man. Proc. Physiol. Soc. 42, xvii–xviii.
LinkOut - more resources
Full Text Sources
Other Literature Sources