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Running economy and running performance

Discussion in 'Biomechanics, Sports and Foot orthoses' started by NewsBot, May 17, 2019.

  1. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1

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    Are Changes In Running Economy Associated With
    Changes In Performance In Runners? A Systematic
    Review and Meta Analysis

    Ian J. O Sullivan et al
    ACSM ANNUAL MEETING
    May 28 – June 1, 2019 – Orlando, Florida

     
  2. Admin2

    Admin2 Administrator Staff Member

  3. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Visual Classification of Running Economy by Distance Running Coaches
    Robbie G. Cochrum , Jennifer L. Caputo , John M. Coons , Dana K. Fuller , Don W. Morgan , Ryan T. Conners & show all
    European Journal of Sport Science : 15 Sep 2020
     
  4. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    There Is No Global Running Pattern More Economic Than Another
    at Endurance Running Speeds

    Aurélien Patoz, Thibault Lussiana, Bastiaan Breine, Cyrille Gindre, and Kim Hébert-Losier
    International Journal of Sports Physiology and Performance, (Ahead of Print)
     
  5. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Effect of Different Intervention on Running Economy - A Systematic Review of the Literature
    Shahin Ketabi et al
    International Journal of Motor Control and Learning (IJMCL)
     
  6. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Running economy in long-distance runners is positively affected by running experience and negatively by aging
    Vinícius Ribeirodos Anjos SouzaaAldoSeffrinaRonaldo Alvesda CunhaaLavíniaVivanaClaudio Andre Barbosade LirabRodrigo LuizVancinicKatjaWeissdBeatKnechtledMarilia SantosAndradee
    Physiology & Behavior; Volume 258, 1 January 2023, 114032
     
  7. NewsBot

    NewsBot The Admin that posts the news.

    Articles:
    1
    Press Release:
    Running performance helped by mathematical research

    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.



    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.



    Modeling the optimization of World-class 400m and 1500m running performances using high-resolution data. Antoine Le Hyaric, Amandine Aftalion, Brian Hanley. Frontiers in Sports and Active Living, March 5th 2024.
     
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