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Recommendations for improved data processing from expired gas analysis indirect calorimetry

Robergs, Robert A., Dwyer, Dan and Astorino, Todd 2010, Recommendations for improved data processing from expired gas analysis indirect calorimetry, Sports medicine, vol. 40, no. 2, pp. 95-111.

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Title Recommendations for improved data processing from expired gas analysis indirect calorimetry
Author(s) Robergs, Robert A.
Dwyer, Dan
Astorino, Todd
Journal name Sports medicine
Volume number 40
Issue number 2
Start page 95
End page 111
Total pages 17
Publisher Adis International
Place of publication Aukland, New Zealand
Publication date 2010-02
ISSN 0112-1642
1179-2035
Keyword(s) calorimetry
exercise
data processing strategies
oxygen consumption
exercise physiologists
Summary There is currently no universally recommended and accepted method of data processing within the science of indirect calorimetry for either mixing chamber or breath-by-breath systems of expired gas analysis. Exercise physiologists were first surveyed to determine methods used to process oxygen consumption ([OV0312]O 2) data, and current attitudes to data processing within the science of indirect calorimetry. Breath-by-breath datasets obtained from indirect calorimetry during incremental exercise were then used to demonstrate the consequences of commonly used time, breath and digital filter post-acquisition data processing strategies. Assessment of the variability in breath-by-breath data was determined using multiple regression based on the independent variables ventilation (VE), and the expired gas fractions for oxygen and carbon dioxide, FEO 2 and FECO2, respectively. Based on the results of explanation of variance of the breath-by-breath [OV0312]O2 data, methods of processing to remove variability were proposed for time-averaged, breath-averaged and digital filter applications. Among exercise physiologists, the strategy used to remove the variability in sequential [OV0312]O2 measurements varied widely, and consisted of time averages (30 sec [38%], 60 sec [18%], 20 sec [11%], 15 sec [8%]), a moving average of five to 11 breaths (10%), and the middle five of seven breaths (7%). Most respondents indicated that they used multiple criteria to establish maximum [OV0312]O 2 ([OV0312]O2max) including: the attainment of age-predicted maximum heart rate (HRmax) [53%], respiratory exchange ratio (RER) >1.10 (49%) or RER >1.15 (27%) and a rating of perceived exertion (RPE) of >17, 18 or 19 (20%). The reasons stated for these strategies included their own beliefs (32%), what they were taught (26%), what they read in research articles (22%), tradition (13%) and the influence of their colleagues (7%). The combination of VE, FEO 2 and FECO2 removed 96-98% of [OV0312]O2 breath-by-breath variability in incremental and steady-state exercise [OV0312]O2 data sets, respectively. Correction of residual error in [OV0312]O2 datasets to 10% of the raw variability results from application of a 30-second time average, 15-breath running average, or a 0.04 Hz low cut-off digital filter. Thus, we recommend that once these data processing strategies are used, the peak or maximal value becomes the highest processed datapoint. Exercise physiologists need to agree on, and continually refine through empirical research, a consistent process for analysing data from indirect calorimetry.
Language eng
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2010, Adis International
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058705

Document type: Journal Article
Collection: School of Exercise and Nutrition Sciences
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Created: Mon, 02 Dec 2013, 12:10:11 EST by Dan Dwyer

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