RT Journal Article
T1 Prediction of maximum voluntary ventilation based on forced expiratory volume in athletes
A1 Lorenzo Capellá, Irma
A1 Ramos Álvarez, Juan José
A1 Jiménez Herranz, María Elena
A1 Maffulli, Nicola
A1 Iuliano, Enzo
A1 Padulo, Johnny
A1 Calderón Montero, Francisco Javier
AB Objective: Maximum-voluntary-ventilation (MVV) is the maximal volume of which an individual can move by voluntary effort in one minute. It is possible that the first second forced-expiratory-volume (FEV1) could be more to reliable assess respiratory muscle endurance to estimate MVV.Methods: For this aim, 422 athletes (Age 22.9 ± 8.5 years; 98/324 - females/males) were performed a MVV, and FEV1 measurements.Results: The coefficient of determination was R2 = 0.594 between MVV and FEV1, with a predictive equation for overall participants: MVV = (FEV1 × 33.5)+12.7. The robust regression showed a good multiple correlation coefficient (R = 0.815) with the coefficient of determination R2 = 0.661 for the model including FEV1, age and gender as predictors. These equations MVV = (FEV1 X 27.3)+(Age(y) × 1.1)+20.5 and MVV = (FEV1 × 27.3)+(Age(y) × 1.1) were derived for male and female, respectively.Conclusion: FEV1 can predict MVV in different athletes with greater accuracy when stratified per gender. Therefore, this new approach can be used in a short all-out test without stress of the respiratory muscle to predict MVV in athletes.
PB Taylor & Francis
YR 2025
FD 2025-02-17
LK https://hdl.handle.net/20.500.14352/125760
UL https://hdl.handle.net/20.500.14352/125760
LA eng
NO Lorenzo-Capellá I, Ramos-Álvarez JJ, Jiménez-Herranz E, Maffulli N, Iuliano E, Padulo J, Calderón-Montero FJ. Prediction of maximum voluntary ventilation based on forced expiratory volume in athletes. Arch Physiol Biochem. 2025 Aug;131(4):569-577. doi: 10.1080/13813455.2025.2465333
DS Docta Complutense
RD 19 mar 2026