Highest oxygen consumption prediction: introducing variable theoretical proportional factors for different sports

Lorenzo-Capellá, Irma; Ramos-Álvarez, Juan José; Jiménez-Herranz, Maria Elena; Maffulli, Nicola; de Borba, Edilson Fernando; Iuliano, Enzo; Calderón-Montero, Francisco Javier; Ardigò, Luca Paolo; Russo, Luca; Padulo, Johnny

Abstract

Purpose
The use of a fixed theoretical-proportional-factor (TPF15) is one of the indirect highest-oxygen-consumptions (HOC) assessment methods, but it may not accurately reflect the physiological differences across various sports (cycling-triathlon-running-football-multisport). The aim of this study is to evaluate the variability of TPF across different sports, proposing a series of sport-specific new TPF values for more accurate HOC estimation.

Methods
A sample of 340 adults (26.01 ± 7.18 years) performed a maximal-incremental-test using sport-specific-ergometers. HOC was considered for cycling VO2peak, whereas for the other investigated sports it was considered VO2max. HOC was directly measured using a gas-analyzer, and TPF values were calculated using heart rate (HR): the ratio of HRmax/HRrest multiplied for the measured values of HOC. A one-way ANOVA was used to measure differences and Bland–Altman plots were constructed to compare predicted and actual VO2max/VO2peak.

Results
Actual HOC was significantly greater than those predicted by the fixed TPF15 (P < 0.001). Sport-specific new TPF values ranged from 16.55 in multisport to 20.15 in cycling, consistently exceeding the old fixed TPF15, and predicting therefore better HOC. The new TPF exhibited a closer agreement with the directly measured VO2max/VO2peak compared to the TPF15. Furthermore, the new TPF reduced the typical-measurement-error (14.94–17.78%) compared to TPF15 (15.63–24.13%).

Conclusion
This study suggests that new TPF values predict VO2max/VO2peak with higher accuracy compared to the traditional method. The use of HRmax and HRrest values allows to customize training programs for different athletes. Future research should focus on validating these findings across larger populations of athletes.

Citation

Lorenzo-Capellá, I., Ramos-Álvarez, J. J., Jiménez-Herranz, M. E., Maffulli, N., de Borba, E. F., Iuliano, E., Calderón-Montero, F. J., Ardigò, L. P., Russo, L., & Padulo, J. (in press). Highest oxygen consumption prediction: introducing variable theoretical proportional factors for different sports. European Journal of Applied Physiology, https://doi.org/10.1007/s00421-024-05625-w

• Journal Article Type: Article
• Acceptance Date: Sep 24, 2024
• Online Publication Date: Oct 8, 2024
• Deposit Date: Oct 25, 2024
• Journal: European Journal of Applied Physiology
• Print ISSN: 1439-6319
• Electronic ISSN: 1439-6327
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1007/s00421-024-05625-w
• Public URL: https://keele-repository.worktribe.com/output/955320
• Publisher URL: https://link.springer.com/article/10.1007/s00421-024-05625-w
• Additional Information: Received: 30 July 2024; Accepted: 24 September 2024; First Online: 8 October 2024; : ; : The authors declare no conflict of interest.; : Ethical approval was given by Polytechnic University of Madrid (03–2019).; : Written informed consent was obtained from all study participants.