Literature DB >> 31172822

Energy Expenditure Equation Choice: Effects on Cycling Efficiency and its Reliability.

Arthur H Bossi, Wouter P Timmerman, James G Hopker.   

Abstract

PURPOSE: There are several published equations to calculate energy expenditure (EE) from gas exchanges. The authors assessed whether using different EE equations would affect gross efficiency (GE) estimates and their reliability.
METHODS: Eleven male and 3 female cyclists (age 33 [10] y; height: 178 [11] cm; body mass: 76.0 [15.1] kg; maximal oxygen uptake: 51.4 [5.1] mL·kg-1·min-1; peak power output: 4.69 [0.45] W·kg-1) completed 5 visits to the laboratory on separate occasions. In the first visit, participants completed a maximal ramp test to characterize their physiological profile. In visits 2 to 5, participants performed 4 identical submaximal exercise trials to assess GE and its reliability. Each trial included three 7-minute bouts at 60%, 70%, and 80% of the gas exchange threshold. EE was calculated with 4 equations by Péronnet and Massicotte, Lusk, Brouwer, and Garby and Astrup.
RESULTS: All 4 EE equations produced GE estimates that differed from each other (all P < .001). Reliability parameters were only affected when the typical error was expressed in absolute GE units, suggesting a negligible effect-related to the magnitude of GE produced by each EE equation. The mean coefficient of variation for GE across different exercise intensities and calculation methods was 4.2%.
CONCLUSIONS: Although changing the EE equation does not affect GE reliability, exercise scientists and coaches should be aware that different EE equations produce different GE estimates. Researchers are advised to share their raw data to allow for GE recalculation, enabling comparison between previous and future studies.

Entities:  

Keywords:  cycling economy; gross efficiency; measurement error; metabolic rate; respiratory exchange ratio

Mesh:

Substances:

Year:  2019        PMID: 31172822     DOI: 10.1123/ijspp.2018-0818

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  1 in total

1.  High-intensity interval training: optimizing oxygen consumption and time to exhaustion taking advantage of the exponential reconstitution behaviour of D'.

Authors:  Filippo Vaccari; Jacopo Stafuzza; Nicola Giovanelli; Stefano Lazzer
Journal:  Eur J Appl Physiol       Date:  2022-10-15       Impact factor: 3.346

  1 in total

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