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Prediction of marathon race time from physiological and training characteristics of male recreational runners

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26630%2F19%3APU133837" target="_blank" >RIV/00216305:26630/19:PU133837 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.researchgate.net/publication/336148111_Prediction_of_Marathon_Race_Time_from_Physiological_and_Training_Characteristics_of_Male_Recreational_Runners" target="_blank" >https://www.researchgate.net/publication/336148111_Prediction_of_Marathon_Race_Time_from_Physiological_and_Training_Characteristics_of_Male_Recreational_Runners</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Prediction of marathon race time from physiological and training characteristics of male recreational runners

  • Popis výsledku v původním jazyce

    Aim: Despite the increased popularity of outdoor endurance running races of different distances, little information exists about the role of training and physiological characteristics of recreational runners. The aim of the present study was to examine the role of training and physiological characteristics on the performance of recreational marathon runners. Methods: Recreational male marathon runners (n=125) - who finished the Athens classic marathon 2017 - performed a series of anthropometry and physical fitness tests including body mass index (BMI), body fat percentage (BF), maximal oxygen uptake (VO2max), sit-and-reach test (SAR), isometric muscle strength (assessed as the sum of four tests: right and left handgrip, trunk and legs dynamometry divided by body mass), squat jump (SJ) and countermovement jump (CMJ). Results: Running speed during the race correlated moderately with age (r=-0.34, p<0.001), and largely with the number of weekly training days (r=0.53, p<0.001) and weekly running distance (r=0.59, p<0.001), but not with the number of previously finished marathons (r=0.07, p=0.229). With regards to physiological characteristics, running speed correlated largely with body mass (r=-0.52, p<0.001), BMI (r=-0.60, p<0.001), BF (r=-0.64, p<0.001), VO2max (r=0.66, p<0.001), moderately with isometric muscle strength (r=0.42, p<0.001), small with anaerobic muscle power (r=0.19, p=0.019), but not with SAR (r=0.08, p=0.187), SJ (r=0.11, p=0.119) and CMJ (r=0.11, p=0.122). Race speed could be predicted (R2=0.63, standard error of the estimate=1.14) using the formula ‘8.76+0.101× VO2max +0.031×weekly training distance in km-0.201×BMI’. Conclusion: These findings highlighted the role of aerobic capacity, training and body mass status for the performance of recreational male runners in a marathon race. Considering the increased number of recreational runners competing in marathon races, the findings would be of great practical importance for coaches and trainers.

  • Název v anglickém jazyce

    Prediction of marathon race time from physiological and training characteristics of male recreational runners

  • Popis výsledku anglicky

    Aim: Despite the increased popularity of outdoor endurance running races of different distances, little information exists about the role of training and physiological characteristics of recreational runners. The aim of the present study was to examine the role of training and physiological characteristics on the performance of recreational marathon runners. Methods: Recreational male marathon runners (n=125) - who finished the Athens classic marathon 2017 - performed a series of anthropometry and physical fitness tests including body mass index (BMI), body fat percentage (BF), maximal oxygen uptake (VO2max), sit-and-reach test (SAR), isometric muscle strength (assessed as the sum of four tests: right and left handgrip, trunk and legs dynamometry divided by body mass), squat jump (SJ) and countermovement jump (CMJ). Results: Running speed during the race correlated moderately with age (r=-0.34, p<0.001), and largely with the number of weekly training days (r=0.53, p<0.001) and weekly running distance (r=0.59, p<0.001), but not with the number of previously finished marathons (r=0.07, p=0.229). With regards to physiological characteristics, running speed correlated largely with body mass (r=-0.52, p<0.001), BMI (r=-0.60, p<0.001), BF (r=-0.64, p<0.001), VO2max (r=0.66, p<0.001), moderately with isometric muscle strength (r=0.42, p<0.001), small with anaerobic muscle power (r=0.19, p=0.019), but not with SAR (r=0.08, p=0.187), SJ (r=0.11, p=0.119) and CMJ (r=0.11, p=0.122). Race speed could be predicted (R2=0.63, standard error of the estimate=1.14) using the formula ‘8.76+0.101× VO2max +0.031×weekly training distance in km-0.201×BMI’. Conclusion: These findings highlighted the role of aerobic capacity, training and body mass status for the performance of recreational male runners in a marathon race. Considering the increased number of recreational runners competing in marathon races, the findings would be of great practical importance for coaches and trainers.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    30105 - Physiology (including cytology)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Acta Physiologica

  • ISSN

    1748-1708

  • e-ISSN

    1748-1716

  • Svazek periodika

    227

  • Číslo periodika v rámci svazku

    S719

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    2

  • Strana od-do

    1-2

  • Kód UT WoS článku

    000487978200145

  • EID výsledku v databázi Scopus