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Running performance helped by mathematical research

Date:
March 5, 2024
Source:
CNRS
Summary:
A new mathematical model has shown, with great precision, the impact that physiological and psychological parameters have on running performance and provides tips for optimized training.
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How to optimise running? A new mathematical model1 has shown, with great precision, the impact that physiological and psychological parameters have on running performance and provides tips for optimised training. The model grew out of research conducted by a French-British team including two CNRS researchers2, the results of which will appear on March 5th 2024 in the journal Frontiers in Sports and Active Living.

This innovative model was developed thanks to extremely precise data3 from the performances of Matthew Hudson-Smith (400m), Femke Bol (400m), and Jakob Ingebrigtsen (1500m) at the 2022 European Athletics Championships in Munich, and for Gaia Sabbatini (1500m) at the 2021 European Athletics U23 Championships in Tallinn. It led to an optimal control problem for finishing time, effort, and energy expenditure. This is the first time that such a model has also considered the variability of motor control, i.e., the role of the brain in the process of producing movement. The simulations allow the researchers to have access to the physiological parameters of the runners -- especially oxygen consumption (or VO2)4, and energy expenditure during the race -- as well as compute their variations. Quantifying costs and benefits in the model provides immediate access to the best strategy for achieving the runner's optimal performance.

The study details multiple criteria, such as the importance of a quick start in the first 50 metres (due to the need for fast oxygen kinetics), or reducing the decrease in velocity in a 400m race. The scientists also demonstrated that improving the aerobic metabolism (oxygen uptake) and the ability to maintain VO2 are crucial elements to 1500m race performance.

The development of this model represents considerable progress in studying variations in physiological parameters during championship races, for which in vivo measurements are not possible.

Notes:

1 For more details on the model, "Be a champion, 40 facts you didn't know about sports and science," Amandine Aftalion, Springer, to appear May 14th 2024.

2 From the Centre for Analysis and Social Mathematics (CNRS/EHESS), in collaboration with the Jacques-Louis Lions Laboratory (CNRS/Sorbonne Université/Université Paris Cité) and the Carnegie School of Sport at Leeds Beckett University.

3 Values measured every 100 milliseconds.

4 Rate at which oxygen is transformed into energy.


Story Source:

Materials provided by CNRS. Note: Content may be edited for style and length.


Journal Reference:

  1. Antoine Le Hyaric, Amandine Aftalion, Brian Hanley. Modelling the optimization of world-class 400 m and 1,500 m running performances using high-resolution data. Frontiers in Sports and Active Living, 2024; 6 DOI: 10.3389/fspor.2024.1293145

Cite This Page:

CNRS. "Running performance helped by mathematical research." ScienceDaily. ScienceDaily, 5 March 2024. <www.sciencedaily.com/releases/2024/03/240305134255.htm>.
CNRS. (2024, March 5). Running performance helped by mathematical research. ScienceDaily. Retrieved April 13, 2024 from www.sciencedaily.com/releases/2024/03/240305134255.htm
CNRS. "Running performance helped by mathematical research." ScienceDaily. www.sciencedaily.com/releases/2024/03/240305134255.htm (accessed April 13, 2024).

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