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- Title
Impact of data averaging strategies on V̇O<sub>2max</sub> assessment: Mathematical modeling and reliability.
- Authors
Martin‐Rincon, Marcos; González‐Henríquez, Juan José; Losa‐Reyna, José; Perez‐Suarez, Ismael; Ponce‐González, Jesús Gustavo; La Calle‐Herrero, Jaime; Perez‐Valera, Mario; Pérez‐López, Alberto; Curtelin, David; Cherouveim, Evgenia D.; Morales‐Alamo, David; Calbet, Jose A. L.
- Abstract
Background: No consensus exists on how to average data to optimize V˙O2max assessment. Although the V˙O2max 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 V˙O2max. Aims: To determine the effect that the number of breaths or seconds included in the averaging block has on the V˙O2max value and its reproducibility and to develop correction equations to standardize V˙O2max 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: V˙O2max decayed from 6 to 60 breath averages by 10% in low fit (V˙O2max < 40 mL kg−1 min−1) and 6.7% in trained subjects. The V˙O2max 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 V˙O2max (R2 > 0.99, P < 0.001), and specific equations were developed to standardize V˙O2max 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 V˙O2max 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.
- Subjects
AEROBIC exercises; CYCLING; ENDURANCE sports training; EXERCISE physiology; RELIABILITY (Personality trait); RESEARCH evaluation; TASK performance; OXYGEN consumption; ERGOMETRY; STATISTICAL models; DESCRIPTIVE statistics
- Publication
Scandinavian Journal of Medicine & Science in Sports, 2019, Vol 29, Issue 10, p1473
- ISSN
0905-7188
- Publication type
Article
- DOI
10.1111/sms.13495