Simulation of Steady-State Energy Metabolism in Cycling and Running: preprint / version 1

Simon Nolte; Oliver Jan Quittmann; Volker Meden

doi:10.51224/SRXIV.110

Simulation of Steady-State Energy Metabolism in Cycling and Running: preprint / version 1

Simon Nolte, Oliver Jan Quittmann, Volker Meden

Institut für Bewegungs- und Neurowissenschaft

Publikation: Andere Beiträge › Andere › Forschung

Abstract

Originalsprache	Englisch
DOIs	https://doi.org/10.51224/SRXIV.110
Publikationsstatus	Veröffentlicht - 20.01.2022

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10.51224/SRXIV.110Lizenz: CC BY

1 Konferenzbeitrag - Abstract in Konferenzband

RELATIONSHIP BETWEEN PHYSIOLOGICAL PARAMETERS AND TIME TRIAL PERFORMANCE OVER 1, 2 AND 3 KM IN WELL- TRAINED RUNNERS
Schwarz, Y. M., Nolte, S., Fuchs, M., Gehlert, G., Slowig, Y., Schiffer, A., Foitschik, T., Abel, T. & Quittmann, O. J., 04.09.2022, Book of Abstracts of the 27th Annual Congress of the European College of Sport Science: 30 August-2 September 2022. Dela, F., Piacentini, M. F., Helge, J. W., Calvo Lluch, A., Sáez, E., Pareja Blanco, F. & Tsolakidis, E. (Hrsg.). Sevilla: ECSS, S. 308 1 S. OP-AP10
Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag - Abstract in Konferenzband › Forschung › Begutachtung

1 Abgeschlossen

SimProRun: Experimentelle Bestimmung physiologischer Profile bei Läufern unterschiedlicher Wettkampfstrecken und deren theoretische Einordnung im Rahmen eines mathematischen Stoffwechselmodells
Quittmann, O., Schwarz, Y. M., Nolte, S., Fuchs, M., Gehlert, G., Slowig, Y., Schiffer, A., Foitschik, T. & Meden, V.
01.01.21 → 31.12.21
Projekt: Hochschulinterne Forschungsförderung

1 Konferenzorganisation und -teilnahme

2. Workshop Energiestoffwechselsimulation
Oliver Jan Quittmann (Organisator*in), Hermann Heck (Vortragende*r), Jasper Suttmeyer (Vortragende*r), Kevin Maliszewski (Vortragende*r) & Simon Nolte (Vortragende*r)
26.05.2022
Aktivität: Teilnahme an oder Organisation einer Veranstaltung › Konferenzorganisation und -teilnahme › Forschung

Datei

Zitation

@misc{3d8f7112461345eba9d054fa396de623,

title = "Simulation of Steady-State Energy Metabolism in Cycling and Running: preprint / version 1",

abstract = "Purpose: A mathematical model to describe the interplay of distinct metabolic rates during exercise was developed decades ago. Despite its use in endurance performance diagnostics, attempts to validate the model{\textquoteright}s assumptions and predictions on experimental data are rare. We here provide a comprehensive study for the steady state.Methods: We rewrote the mathematical equations in the steady state and tested them on a data set of N = 101 individuals derived from four studies in cycling and running.Results: The rewritten equations reveal a unique relationship between the ratio of the maximum oxygen uptake and the lactate accumulation rate, and the fractional utilization of oxygen uptake at the maximum lactate steady-state. Experimental data for running do not provide evidence that this relation holds. For cycling, the experimental evidence is less devastating but can also not be considered as convincing.Conclusion: The simulation in its current form is not suitable for a practical use in performance diagnostics. Additional model layers and/or more precise methods of measurement may improve the model{\textquoteright}s performance, but require experimental validation.",

author = "Simon Nolte and Quittmann, {Oliver Jan} and Volker Meden",

year = "2022",

month = jan,

day = "20",

doi = "10.51224/SRXIV.110",

language = "English",

publisher = "SportRχiv",

type = "Other",

}

TY - GEN

T1 - Simulation of Steady-State Energy Metabolism in Cycling and Running

T2 - preprint / version 1

AU - Nolte, Simon

AU - Quittmann, Oliver Jan

AU - Meden, Volker

PY - 2022/1/20

Y1 - 2022/1/20

N2 - Purpose: A mathematical model to describe the interplay of distinct metabolic rates during exercise was developed decades ago. Despite its use in endurance performance diagnostics, attempts to validate the model’s assumptions and predictions on experimental data are rare. We here provide a comprehensive study for the steady state.Methods: We rewrote the mathematical equations in the steady state and tested them on a data set of N = 101 individuals derived from four studies in cycling and running.Results: The rewritten equations reveal a unique relationship between the ratio of the maximum oxygen uptake and the lactate accumulation rate, and the fractional utilization of oxygen uptake at the maximum lactate steady-state. Experimental data for running do not provide evidence that this relation holds. For cycling, the experimental evidence is less devastating but can also not be considered as convincing.Conclusion: The simulation in its current form is not suitable for a practical use in performance diagnostics. Additional model layers and/or more precise methods of measurement may improve the model’s performance, but require experimental validation.

AB - Purpose: A mathematical model to describe the interplay of distinct metabolic rates during exercise was developed decades ago. Despite its use in endurance performance diagnostics, attempts to validate the model’s assumptions and predictions on experimental data are rare. We here provide a comprehensive study for the steady state.Methods: We rewrote the mathematical equations in the steady state and tested them on a data set of N = 101 individuals derived from four studies in cycling and running.Results: The rewritten equations reveal a unique relationship between the ratio of the maximum oxygen uptake and the lactate accumulation rate, and the fractional utilization of oxygen uptake at the maximum lactate steady-state. Experimental data for running do not provide evidence that this relation holds. For cycling, the experimental evidence is less devastating but can also not be considered as convincing.Conclusion: The simulation in its current form is not suitable for a practical use in performance diagnostics. Additional model layers and/or more precise methods of measurement may improve the model’s performance, but require experimental validation.

U2 - 10.51224/SRXIV.110

DO - 10.51224/SRXIV.110

M3 - Other

PB - SportRχiv

ER -

Simulation of Steady-State Energy Metabolism in Cycling and Running: preprint / version 1

Abstract

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Publikationen

RELATIONSHIP BETWEEN PHYSIOLOGICAL PARAMETERS AND TIME TRIAL PERFORMANCE OVER 1, 2 AND 3 KM IN WELL- TRAINED RUNNERS

Projekte

SimProRun: Experimentelle Bestimmung physiologischer Profile bei Läufern unterschiedlicher Wettkampfstrecken und deren theoretische Einordnung im Rahmen eines mathematischen Stoffwechselmodells

Aktivitäten

2. Workshop Energiestoffwechselsimulation

Zitation