scholarly journals Srovnání ekonomiky běhu na základě příjmu kyslíku u vytrvalostních běžců na asfaltu, škváře a tartanu

2014 ◽  
Vol 8 (2) ◽  
pp. 46-52
Author(s):  
Jaroslava Chovancová ◽  
Martina Bernaciková ◽  
Jan Novotný ◽  
Tomáš Kalina ◽  
Miriam Kalichová
Keyword(s):  
Oxygen Consumption ◽  
Oxygen Uptake ◽  
Body Mass ◽  
Stress Testing ◽  
Running Economy ◽  
Testing System ◽  
Distance Runners ◽  
Long Distance ◽  
Post Hoc ◽  
Energetic Aspect

The purpose of this study was to compare running economy (by oxygen consumption) in long distance runners on three different surfaces (asphalt, cinder and tartan). Thirty Czech long distance runners (age: 25.1±4.3 years, height: 183.2±7.4 cm, body mass: 72.4±6.0 kg, BMI: 22.5±1.4 and VO2 max: 65.8±5.2 ml∙min∙kg-1) participated in this study. We measured oxygen uptake by wireless, portable cardiopulmonary stress testing system (Oxygen Mobile, Viasys) on each surface during running at speeds: 10, 12, 14 and 16 km∙h-1. Differences of oxygen uptake were assessed statistically using parametric ANOVA and post-hoc Tukey HSD test. We found significant differences between asphalt and cinder for 12, 14 and 16 km∙h-1. Differences of average values of oxygen uptake on tartan at 10 km∙h-1:35.2±2.8 ml∙min∙kg-1; 12 km∙h-1: 41.0±3.4 ml∙min∙kg-1; 14 km∙h-1: 47.8±4.2 ml∙min∙kg-1a 16 km∙h-1: 54.2±4.9 ml∙min∙kg-1; on cinder at 10 km∙h-1: 36.2±3.6 ml∙min∙kg-1; 12 km∙h-1: 42.5±3.9 ml∙min∙kg-1; 14 km∙h-1: 49.5±5.4 ml∙min∙kg-1a 16 km∙h-1: 56.1±6.8 ml∙min∙kg-1 and on asphalt at 10 km∙h-1: 35.0±3.7 ml∙min∙- kg-1; 12 km∙h-1: 39.8±4.0 ml∙min∙kg-1; 14 km∙h-1: 46.3±5.1 ml∙min∙kg-1a 16 km∙h-1 : 53.5±4.8 ml∙min∙kg-1. The lowest values of oxygen uptake were found on asphalt surface. The asphalt is probably the most favorable surface according to energetic aspect.

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.

Running economy and its correlation to performance and fitness variables in recreationally-trained distance runners

2020 ◽  
Vol 16 (2) ◽  
pp. 107-112 ◽  
Author(s):  
B.N. Bozzini ◽  
J.K. Pellegrino ◽  
A.J. Walker ◽  
B.A. McFadden ◽  
A.N. Poyssick ◽  
...  
Keyword(s):  
Oxygen Consumption ◽  
Ventilatory Threshold ◽  
Maximal Oxygen Consumption ◽  
Time Trial ◽  
Running Economy ◽  
Distance Runners ◽  
Fat Percentage ◽  
Long Distance ◽  
Significant Relationships ◽  
Physiological Capacity

Specific physiological attributes such as maximal oxygen consumption (VO2max) and running economy (RE) have been suggested to help predict long distance performance in endurance athletes. Despite this, investigations of RE have yielded conflicting results, particularly when comparing elite and recreational runners. The purpose of this study was to illustrate correlations between RE, expressed as submaximal oxygen consumption at a given speed, and time trial (TT) performance in addition to various fitness markers in endurance-trained individuals. Trained distance runners (n=21) performed a battery of tests over three sessions to provide measurements of RE at 2.68 m/s (RE2.68) and 4.25 m/s (RE4.25), TT performance, VO2max, velocity at ventilatory threshold (VVT), and body composition. Pearson-product moment correlations, defined as weak (r≥0.25), moderate (r≥0.45), and strong (r≥0.65), were calculated among all measures and significance was set at P<0.05. The findings suggested that faster TT performance was significantly (P<0.05) correlated to a higher VO2max (r=-0.86) and lower body fat percentage (BF%; r=0.78). However, TT performance displayed only a weak trend to RE4.25 (r=-0.40, P=0.07) and was not correlated to RE2.68 (r=0.15; P>0.05). Additionally, better RE4.25 (i.e. decreased submaximal oxygen consumption) was associated with a lower VO2max (r=0.66, P<0.05) and an increased BF% (r=-0.46, P<0.05). RE2.68 revealed no significant relationships with these measures. Comparable to their elite counterparts, higher aerobic capacity is strongly linked to performance in recreational distance runners, though in this cohort RE only weakly related to performance at the faster velocity. Finally, the inverse relationship between markers of overall fitness and RE suggests that enhanced RE may be an adaptive response to a limited physiological capacity in this population.

Economy of running: beyond the measurement of oxygen uptake

2009 ◽  
Vol 107 (6) ◽  
pp. 1918-1922 ◽  
Author(s):  
Jared R. Fletcher ◽  
Shane P. Esau ◽  
Brian R. MacIntosh
Keyword(s):  
Oxygen Uptake ◽  
Body Mass ◽  
Maximal Oxygen Uptake ◽  
Lactate Threshold ◽  
Unit Cost ◽  
Substrate Utilization ◽  
Open Circuit ◽  
Running Economy ◽  
Oxygen Cost ◽  
Distance Runners

The purpose of this study was to compare running economy across three submaximal speeds expressed as both oxygen cost (ml·kg−1·km−1) and the energy required to cover a given distance (kcal·kg−1·km−1) in a group of trained male distance runners. It was hypothesized that expressing running economy in terms of caloric unit cost would be more sensitive to changes in speed than oxygen cost by accounting for differences associated with substrate utilization. Sixteen highly trained male distance runners [maximal oxygen uptake (V̇o2max) 66.5 ± 5.6 ml·kg−1·min−1, body mass 67.9 ± 7.3 kg, height 177.6 ± 7.0 cm, age 24.6 ± 5.0 yr] ran on a motorized treadmill for 5 min with a gradient of 0% at speeds corresponding to 75%, 85%, and 95% of speed at lactate threshold with 5-min rest between stages. Oxygen uptake was measured via open-circuit calorimetry. Average oxygen cost was 221 ± 19, 217 ± 15, and 221 ± 13 ml·kg−1·km−1, respectively. Caloric unit cost was 1.05 ± 0.09, 1.07 ± 0.08, and 1.11 ± 0.07 kcal·kg−1·km−1 at the three trial speeds, respectively. There was no difference in oxygen cost with respect to speed ( P = 0.657); however, caloric unit cost significantly increased with speed ( P < 0.001). It was concluded that expression of running economy in terms of caloric unit cost is more sensitive to changes in speed and is a more valuable expression of running economy than oxygen uptake, even when normalized per distance traveled.

scholarly journals Physiological factors affecting performance in elite distance runners

2016 ◽  
Vol 22 ◽  
pp. 7 ◽  
Author(s):  
Leif Inge Tjelta ◽  
Shaher A. I. Shalfawi
Keyword(s):  
Oxygen Uptake ◽  
Energy System ◽  
Running Economy ◽  
Distance Runners ◽  
Energy Contribution ◽  
Physiological Factors ◽  
Factors Affecting ◽  
Air Resistance ◽  
Factors Affecting Performance ◽  
Response To Exercise

Running distances from 3000 m to the marathon (42 195 m) are events dominated by energy contribution of the aerobic energy system. The physiological factors that underlie success in these running events are maximal oxygen uptake (VO2max), running economy (RE), the utilization of the maximum oxygen uptake (%VO2max) and velocity at the anaerobic threshold (vAT). VO2max for distance runners competing on an international level has been between 70 and 87 ml/kg/min in men, and between 60 and 78.7 ml/kg/min in women, respectively. Due to lack of air resistance, laboratory testing of RE and vAT are recommended to be conducted on treadmill with 1% slope. %VO2max are in most studies expressed as the average fractional utilization of VO2max at vAT. Much of the current understanding regarding the response to exercise is based on studies of untrained and moderately trained individuals. To use this knowledge to give training recommendations to elite runners is hardly valid. Researchers should therefore exercise caution when giving training recommendations to coaches and elite distance runners based on limited available research.

scholarly journals Does Metabolic Rate Increase Linearly with Running Speed in all Distance Runners?

2017 ◽  
Vol 02 (01) ◽  
pp. E1-E8 ◽  
Author(s):  
Matthew Batliner ◽  
Shalaya Kipp ◽  
Alena Grabowski ◽  
Rodger Kram ◽  
William Byrnes
Keyword(s):  
Oxygen Uptake ◽  
Metabolic Rate ◽  
Perceived Exertion ◽  
Running Economy ◽  
Rating Of Perceived Exertion ◽  
Distance Runners ◽  
Cost Of Transport ◽  
Linear Relationships ◽  
Distance Running Performance ◽  
Elite Runners

AbstractRunning economy (oxygen uptake or metabolic rate for running at a submaximal speed) is one of the key determinants of distance running performance. Previous studies reported linear relationships between oxygen uptake or metabolic rate and speed, and an invariant cost of transport across speed. We quantified oxygen uptake, metabolic rate, and cost of transport in 10 average and 10 sub-elite runners. We increased treadmill speed by 0.45 m·s−1 from 1.78 m·s−1 (day 1) and 2.01 m·s−1 (day 2) during each subsequent 4-min stage until reaching a speed that elicited a rating of perceived exertion of 15. Average runners’ oxygen uptake and metabolic rate vs. speed relationships were best described by linear fits. In contrast, the sub-elite runners’ relationships were best described by increasing curvilinear fits. For the sub-elites, oxygen cost of transport and energy cost of transport increased by 12.8% and 9.6%, respectively, from 3.58 to 5.14 m·s−1. Our results indicate that it is not possible to accurately predict metabolic rates at race pace for sub-elite competitive runners from data collected at moderate submaximal running speeds (2.68–3.58 m·s−1). To do so, metabolic rate should be measured at speeds that approach competitive race pace and curvilinear fits should be used for extrapolation to race pace.

scholarly journals Internal mechanical work and maximum subtalar joint pronation in different gradients

2019 ◽  
Vol 32 ◽  
Author(s):  
Karina Azevedo Lopes ◽  
Mayara Maciel Batista ◽  
Letícia Martins ◽  
André Luiz Kiihn ◽  
Marcos Roberto Queiroga ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Running Economy ◽  
Mechanical Work ◽  
Distance Runners ◽  
Long Distance ◽  
Running Speed ◽  
The Social ◽  
Complex Relationships ◽  
Student’S T ◽  
Student’S T Test

Abstract Introduction: Some authors have described the importance of physiological intensity in the behavior of the biomechanical aspects of running (for example, subtalar pronation), but the complex relationships between these variables are not yet well understood. Objective: This study investigated the influence of positive gradients on internal mechanical work (Wint) and maximum subtalar pronation at a submaximal running speed. Method: Sixteen male, trained long-distance runners (age: 29 ± 7 yr; stature: 1.72 ± 0.07 m; body mass: 72.1 ± 10.6 kg), performed four running economy tests (gradients: +1%, +5%, +10% and +15%, respectively) for four minutes at a same submaximal running speed to quantify the maximum values of subtalar pronation and predict the Wint values. Data were analyzed using descriptive statistics, Student’s T-test, and one-way repeated-measures (ANOVA) along with the Statistical Package for the Social Sciences (SPSS) version 20.0. Results: Wint increased according to the gradient (p < 0.05). However, no significant differences were observed in the maximum values of maximum subtalar pronation corresponding to each gradient. Conclusion: Results show the maximum subtalar pronation during submaximal running depends on the speed rather than intensity of effort.

scholarly journals Nonsteroidal Anti-Inflammatory Drug Use and Endurance During Running in Male Long-Distance Runners

2015 ◽  
Vol 50 (3) ◽  
pp. 295-302 ◽  
Author(s):  
Eduardo Da Silva ◽  
Ronei S. Pinto ◽  
Eduardo L. Cadore ◽  
Luiz F. Kruel
Keyword(s):  
Oxygen Consumption ◽  
Placebo Group ◽  
Muscle Damage ◽  
Endurance Performance ◽  
Distance Runners ◽  
Long Distance ◽  
Inflammatory Drug ◽  
Anti Inflammatory ◽  
Exercise Induced ◽  
Ibuprofen Group

Context: The effect of ibuprofen on pain tolerance during exercise is controversial, and its effects on endurance performance have been poorly investigated. Objective: To investigate the effect of prophylactic administration of the nonsteroidal anti-inflammatory drug ibuprofen on the time until the self-report of fatigue (tlim) in runners with exercise-induced muscle damage. Design: Randomized controlled clinical trial. Setting: Laboratory. Patients or Other Participants: Twenty healthy male long-distance runners (age = 18.8 ± 0.4 years, maximal oxygen consumption = 55.5 ± 5.9 mL·kg−1·min−1). Intervention(s): Participants were assigned to 2 groups (ibuprofen group = 10, placebo group = 10) to perform tlim trials (speed corresponded to their previously determined secondventilatory thresholds) 48 hours before and 48 hours after the induction of a lower limb muscle-damage protocol (isokinetic dynamometry). One hour before the second tlim trial, the ibuprofen group received 1.2 g ibuprofen, and the placebo group received lactose orally. Main Outcome Measure(s): Time until self-reported fatigue, heart rate, respiratory quotient, oxygen consumption, and perceived exertion were recorded during each tlim test. Results: Both groups reported increases in muscle pain in the knee extensors and flexors 48 hours after the muscle-damage protocol. We observed a reduction in the endurance performance of both groups (P &lt; .01) but no difference between groups (P = .55). Conclusions: Ibuprofen did not reduce the effect of muscle damage and pain on performance. Prophylactic use of nonsteroidal anti-inflammatory drugs did not have an ergogenic effect on running performance after exercise-induced muscle damage in male long-distance runners.

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