Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/58129
Title: Impact of data averaging strategies on VO2max assessment: mathematical modeling and reliability
Authors: Martin-Rincon, Marcos 
González-Henríquez, Juan José 
Losa Reyna,Jose 
Perez Suárez,Ismael 
Ponce González,Jesús Gustavo 
de La Calle-Herrero, Jaime
Perez-Valera, Mario 
Perez-Lopez, Alberto
Curtelin Pérez,David 
Cherouveim, Evgenia D.
Morales-Alamo, David 
Calbet, José A. 
UNESCO Clasification: 241106 Fisiología del ejercicio
Keywords: Sampling Interval
Oxygen-Uptake
Gas-Exchange
Exercise
Plateau, et al
Issue Date: 2019
Project: Desarrollo y Caracterización Molecular de Un Nuevo Modelo de Precondicionamiento Remoto 
Identificacion E Integracion de Nuevos Factores Moleculares, Fisiologicos y Bioelectricos Determinantes Del Rendimiento en El Ejercicio de Sprint 
Viabilidad y Sostenibilidad Del Adelgazamiento Mediante Tratamiento Intensificado en Pacientes Con Sobrepeso U Obesidad: Mecanismos Neuroendocrinos y Moleculares 
Journal: Scandinavian Journal of Medicine and Science in Sports 
Abstract: Background No consensus exists on how to average data to optimize VO2max assessment. Although the VO2max value is reduced with larger averaging blocks, no mathematical procedure is available to account for the effect of the length of the averaging block on VO2max. Aims To determine the effect that the number of breaths or seconds included in the averaging block has on the VO(2max )value and its reproducibility and to develop correction equations to standardize VO2max values obtained with different averaging strategies. Methods Eighty-four subjects performed duplicate incremental tests to exhaustion (IE) in the cycle ergometer and/or treadmill using two metabolic carts (Vyntus and Vmax N29). Rolling breath averages and fixed time averages were calculated from breath-by-breath data from 6 to 60 breaths or seconds. Results VO2max decayed from 6 to 60 breath averages by 10% in low fit (VO2max < 40 mL kg(-1) min(-1)) and 6.7% in trained subjects. The VO2max averaged from a similar number of breaths or seconds was highly concordant (CCC > 0.97). There was a linear-log relationship between the number of breaths or seconds in the averaging block and VO2max (R-2 > 0.99, P < 0.001), and specific equations were developed to standardize VO2max values to a fixed number of breaths or seconds. Reproducibility was higher in trained than low-fit subjects and not influenced by the averaging strategy, exercise mode, maximal respiratory rate, or IE protocol. Conclusions The VO(2max )decreases following a linear-log function with the number of breaths or seconds included in the averaging block and can be corrected with specific equations as those developed here.
URI: http://hdl.handle.net/10553/58129
ISSN: 0905-7188
DOI: 10.1111/sms.13495
Source: Scandinavian Journal of Medicine and Science in Sports [ISSN 0905-7188], v. 29 (10), p. 1473-1488
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