Literature DB >> 16572371

Physiological measures associated with marathon running performance in high-level male and female homogeneous groups.

A Legaz Arrese1, D Munguía Izquierdo, J R Serveto Galindo.   

Abstract

The study tested the hypothesis that physiological measurements can predict marathon running performance in a top-level homogeneous group of males and females. Ten male, performance: 2:12:04, coefficient of variation (CV)=2.33%, and 8 female marathon runners, performance: 2:34:53, CV=4.54%, performed an increment test on the treadmill (starting speed, 8 km.h-1; increments, 2 km.h-1; increment duration, 3 min to exhaustion). The heart rate (HR), VO2 and the lactate concentrations were measured at the end of each exercise level. During the recovery time, HR and lactate were measured. Furthermore, echocardiographic, anthropometric and haematologic measurements were made. The results of a stepwise multiple regression analysis using marathon time as the dependent variable yielded R2=0.983 for the male group and R2=0.984 for the female group. The model for the male group used the independent variables lactate value at 10 km.h-1, left ventricular telediastolic diameter (LVD) and lactate value at 22 km.h-1. The model for the female group used the independent variables subscapular skinfold, serum ferritin and sum of six skinfolds. Our study demonstrates that in males and females, physiological parameters can explain the variance in marathon time among elite homogeneous groups.

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Year:  2006        PMID: 16572371     DOI: 10.1055/s-2005-865628

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  10 in total

1.  Adaptation of left ventricular morphology to long-term training in sprint- and endurance-trained elite runners.

Authors:  Alejandro Legaz-Arrese; Alejandro Legaz Arrese; Mariano González-Carretero; Mariano González Carretero; Isaac Lacambra-Blasco; Isaac Lacambra Blasco
Journal:  Eur J Appl Physiol       Date:  2005-11-10       Impact factor: 3.078

2.  Metabolic factors limiting performance in marathon runners.

Authors:  Benjamin I Rapoport
Journal:  PLoS Comput Biol       Date:  2010-10-21       Impact factor: 4.475

3.  Effects of A High Intensity Interval Session on Mucosal Immune Function and Salivary Hormones in Male and Female Endurance Athletes.

Authors:  Camila Monje; Isabel Rada; Mauricio Castro-Sepulveda; Luis Peñailillo; Louise Deldicque; Hermann Zbinden-Foncea
Journal:  J Sports Sci Med       Date:  2020-05-01       Impact factor: 2.988

4.  Relationship of anthropometric and training characteristics with race performance in endurance and ultra-endurance athletes.

Authors:  Beat Knechtle
Journal:  Asian J Sports Med       Date:  2014-06

5.  Cooper Test Provides Better Half-Marathon Performance Prediction in Recreational Runners Than Laboratory Tests.

Authors:  José Ramón Alvero-Cruz; Elvis A Carnero; Manuel Avelino Giráldez García; Fernando Alacid; Thomas Rosemann; Pantelis T Nikolaidis; Beat Knechtle
Journal:  Front Physiol       Date:  2019-11-05       Impact factor: 4.566

Review 6.  Predictive Performance Models in Long-Distance Runners: A Narrative Review.

Authors:  José Ramón Alvero-Cruz; Elvis A Carnero; Manuel Avelino Giráldez García; Fernando Alacid; Lorena Correas-Gómez; Thomas Rosemann; Pantelis T Nikolaidis; Beat Knechtle
Journal:  Int J Environ Res Public Health       Date:  2020-11-09       Impact factor: 3.390

7.  Exploring the Anthropometric, Cardiorespiratory, and Haematological Determinants of Marathon Performance.

Authors:  Georgios A Christou; Efstathios D Pagourelias; Asterios P Deligiannis; Evangelia J Kouidi
Journal:  Front Physiol       Date:  2021-09-03       Impact factor: 4.566

8.  Predictor variables for marathon race time in recreational female runners.

Authors:  Wiebke Schmid; Beat Knechtle; Patrizia Knechtle; Ursula Barandun; Christoph Alexander Rüst; Thomas Rosemann; Romuald Lepers
Journal:  Asian J Sports Med       Date:  2012-06

9.  Comparison of anthropometric and training characteristics between recreational male marathoners and 24-hour ultramarathoners.

Authors:  Christoph Alexander Rüst; Beat Knechtle; Patrizia Knechtle; Thomas Rosemann
Journal:  Open Access J Sports Med       Date:  2012-10-23

10.  Running speed during training and percent body fat predict race time in recreational male marathoners.

Authors:  Ursula Barandun; Beat Knechtle; Patrizia Knechtle; Andreas Klipstein; Christoph Alexander Rüst; Thomas Rosemann; Romuald Lepers
Journal:  Open Access J Sports Med       Date:  2012-07-02
  10 in total

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