Maximal oxygen uptake, anaerobic threshold and running economy in women and men with similar performances level in marathons

1994 ◽  
Vol 68 (2) ◽  
pp. 155-161 ◽  
Author(s):  
Jan Helgerud
Keyword(s):  
Oxygen Uptake ◽  
Anaerobic Threshold ◽  
Maximal Oxygen Uptake ◽  
Running Economy

scholarly journals Aerobic and Anaerobic Test Performance Among Elite Male Football Players in Different Team Positions

2015 ◽  
Vol 6 (1) ◽  
pp. 71-90 ◽  
Author(s):  
Johnny Nilsson ◽  
Daniele Cardinale
Keyword(s):  
Oxygen Uptake ◽  
Anaerobic Threshold ◽  
Maximal Oxygen Uptake ◽  
Test Performance ◽  
Average Power ◽  
Wingate Test ◽  
Running Economy ◽  
Football Players ◽  
Performance Factors ◽  
Aerobic And Anaerobic

Abstract The purpose was to determine the magnitude of aerobic and anaerobic performance factors among elite male football players in different team positions. Thirty-nine players from the highest Swedish division classified as defenders (n=18), midfield players (n=12) or attackers (n=9) participated. Their mean (± sd) age, height and body mass (bm) were 24.4 (±4.7) years, 1.80 (±5.9)m and 79 (±7.6)kg, respectively. Running economy (RE) and anaerobic threshold (AT) was determined at 10, 12, 14, and 16km/h followed by tests of maximal oxygen uptake (VO2max). Maximal strength (1RM) and average power output (AP) was performed in squat lifting. Squat jump (SJ), counter-movement jump with free arm swing (CMJa), 45m maximal sprint and the Wingate test was performed. Average VO2max for the whole population (WP) was 57.0mL O2•kg−1min−1. The average AT occurred at about 84% of VO2max. 1RM per kg bm0.67 was 11.9±1.3kg. Average squat power in the whole population at 40% 1RM was 70±9.5W per kg bm0.67. SJ and CMJa were 38.6±3.8cm and 48.9±4.4cm, respectively. The average sprint time (45m) was 5.78± 0.16s. The AP in the Wingate test was 10.6±0.9W•kg−1. The average maximal oxygen uptake among players in the highest Swedish division was lower compared to international elite players but the Swedish players were better off concerning the anaerobic threshold and in the anaerobic tests. No significant differences were revealed between defenders, midfielders or attackers concerning the tested parameters presented above.

Sprinting Ability as an Important Indicator of Performance in Elite Long-Distance Runners

2020 ◽  
Vol 15 (1) ◽  
pp. 141-145
Author(s):  
Ryo Yamanaka ◽  
Hayato Ohnuma ◽  
Ryosuke Ando ◽  
Fumiya Tanji ◽  
Toshiyuki Ohya ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Oxygen Uptake ◽  
Maximal Oxygen Uptake ◽  
Running Economy ◽  
Distance Runners ◽  
Final Phase ◽  
Improve Performance ◽  
Long Distance ◽  
Important Indicator ◽  
Sprint Time

Purpose: Increases in maximal oxygen uptake () and running economy improve performance in long-distance runners. Nevertheless, long-distance runners require sprinting ability to win, especially in the final phase of competitions. The authors determined the relationships between performance and sprinting ability, as well as other abilities in elite long-distance runners. Methods: The subjects were 12 elite long-distance runners. Mean official seasonal best times in 5000-m (5000 m-SB) and 10,000-m (10,000 m-SB) races within 1 year before or after the examination were 13:58.5 (0:18.7) and 28:37.9 (0:25.2) (mean [SD]), respectively. The authors measured 100-m and 400-m sprint times as the index of sprinting ability. They also measured and running economy ( at 300 m·min−1 of running velocity). They used a single correlation analysis to assess relationships between 5000 m-SB or 10,000 m-SB and other elements. Results: There were significant correlations between 5000 m-SB was significantly correlated with 100-m sprint time (13.3 [0.7] s; r = .68, P = .014), 400-m sprint time (56.6 [2.7] s; r = .69, P = .013), and running economy (55.5 [3.9] mL·kg−1·min−1; r = .59, P = .045). There were significant correlations between 10,000 m-SB and 100-m sprint time (r = .72, P = .009) and 400-m sprint time (r = .85, P < .001). However, there was no significant correlation between 5000 m-SB or 10,000 m-SB and (72.0 [3.8] mL·kg−1·min−1). Conclusions: The authors' data suggest that sprinting ability is an important indicator of performance in elite long-distance runners.

scholarly journals Predictive Performance Models in Long-Distance Runners: A Narrative Review

2020 ◽  
Vol 17 (21) ◽  
pp. 8289
Author(s):  
José Alvero-Cruz ◽  
Elvis Carnero ◽  
Manuel García ◽  
Fernando Alacid ◽  
Lorena Correas-Gómez ◽  
...  
Keyword(s):  
Oxygen Uptake ◽  
Maximal Oxygen Uptake ◽  
Prediction Models ◽  
Exercise Physiology ◽  
Field Tests ◽  
Training Load ◽  
Running Economy ◽  
Anthropometric Parameters ◽  
Long Distance ◽  
Physiological Variables

Physiological variables such as maximal oxygen uptake (VO2max), velocity at maximal oxygen uptake (vVO2max), running economy (RE) and changes in lactate levels are considered the main factors determining performance in long-distance races. The aim of this review was to present the mathematical models available in the literature to estimate performance in the 5000 m, 10,000 m, half-marathon and marathon events. Eighty-eight articles were identified, selections were made based on the inclusion criteria and the full text of the articles were obtained. The articles were reviewed and categorized according to demographic, anthropometric, exercise physiology and field test variables were also included by athletic specialty. A total of 58 studies were included, from 1983 to the present, distributed in the following categories: 12 in the 5000 m, 13 in the 10,000 m, 12 in the half-marathon and 21 in the marathon. A total of 136 independent variables associated with performance in long-distance races were considered, 43.4% of which pertained to variables derived from the evaluation of aerobic metabolism, 26.5% to variables associated with training load and 20.6% to anthropometric variables, body composition and somatotype components. The most closely associated variables in the prediction models for the half and full marathon specialties were the variables obtained from the laboratory tests (VO2max, vVO2max), training variables (training pace, training load) and anthropometric variables (fat mass, skinfolds). A large gap exists in predicting time in long-distance races, based on field tests. Physiological effort assessments are almost exclusive to shorter specialties (5000 m and 10,000 m). The predictor variables of the half-marathon are mainly anthropometric, but with moderate coefficients of determination. The variables of note in the marathon category are fundamentally those associated with training and those derived from physiological evaluation and anthropometric parameters.

scholarly journals Physiological Determinants of Ultramarathon Trail-Running Performance

2020 ◽  
pp. 1-8
Author(s):  
Alexandra M. Coates ◽  
Jordan A. Berard ◽  
Trevor J. King ◽  
Jamie F. Burr
Keyword(s):  
Oxygen Uptake ◽  
Body Mass ◽  
Aerobic Fitness ◽  
Maximal Oxygen Uptake ◽  
Cardiovascular Health ◽  
Peak Velocity ◽  
Running Economy ◽  
Running Performance ◽  
Uptake Test ◽  
Trail Running

Context: The physiological determinants of ultramarathon success have rarely been assessed and likely differ in their contributions to performance as race distance increases. Purpose: To examine predictors of performance in athletes who completed either a 50-, 80-, or 160-km trail race over a 20-km loop course on the same day. Methods: Measures of running history, aerobic fitness, running economy, body mass loss, hematocrit alterations, age, and cardiovascular health were examined in relation to race-day performance. Performance was defined as the percentage difference from the winning time at a given race distance, with 0% representing the fastest possible time. Results: In the 50-km race, training volumes, cardiovascular health, aerobic fitness, and a greater loss of body mass during the race were all related to better performance (all P < .05). Using multiple linear regression, peak velocity achieved in the maximal oxygen uptake test (β = −11.7, P = .002) and baseline blood pressure (β = 3.1, P = .007) were the best performance predictors for the men’s 50-km race (r = .98, r2 = .96, P < .001), while peak velocity achieved in the maximal oxygen uptake test (β = −13.6, P = .001) and loss of body mass (β = 12.8, P = .03) were the best predictors for women (r = .94, r2 = .87, P = .001). In the 80-km race, only peak velocity achieved in the maximal oxygen uptake test predicted performance (β = −20.3, r = .88, r2 = .78, P < .001). In the 160-km race, there were no significant performance determinants. Conclusions: While classic determinants of running performance, including cardiovascular health and running fitness, predict 50-km trail-running success, performance in longer-distance races appears to be less influenced by such physiological parameters.

scholarly journals Comparison of Maximal Oxygen Uptake and Anaerobic Threshold in Soccer and Handball Players

2017 ◽  
Vol 21 (4) ◽  
pp. 171 ◽  
Author(s):  
Soyal Mehmet ◽  
Korkmaz Eryılmaz Selcen ◽  
Polat Metin ◽  
Aydoğan Sami
Keyword(s):  
Oxygen Uptake ◽  
Anaerobic Threshold ◽  
Maximal Oxygen Uptake

THE EFFECTS OF HYDRAULIC RESISTIVE TRAINING ON MAXIMAL OXYGEN UPTAKE AND ANAEROBIC THRESHOLD

1984 ◽  
Vol 16 (2) ◽  
pp. 183
Author(s):  
L. Turcotte ◽  
W. Byrnes ◽  
P. Frykman ◽  
P. Freedson ◽  
F. Katch
Keyword(s):  
Oxygen Uptake ◽  
Anaerobic Threshold ◽  
Maximal Oxygen Uptake ◽  
Resistive Training
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