scholarly journals Relation between 1,500-m running performance and running economy during high-intensity running in well-trained distance runners

2017 ◽  
Vol 6 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Fumiya Tanji ◽  
Yusuke Shirai ◽  
Toshiki Tsuji ◽  
Wataru Shimazu ◽  
Yoshiharu Nabekura
2017 ◽  
Vol 6 (5) ◽  
pp. 355-358 ◽  
Author(s):  
Fumiya Tanji ◽  
Toshiki Tsuji ◽  
Wataru Shimazu ◽  
Yasushi Enomoto ◽  
Yoshiharu Nabekura

2014 ◽  
Vol 33 (2) ◽  
pp. 136-144 ◽  
Author(s):  
Martin Mooses ◽  
Kerli Mooses ◽  
Diresibachew Wondimu Haile ◽  
Jérôme Durussel ◽  
Priit Kaasik ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Cláudio de Oliveira Assumpção ◽  
Leonardo Coelho Rabello Lima ◽  
Felipe Bruno Dias Oliveira ◽  
Camila Coelho Greco ◽  
Benedito Sérgio Denadai

Running economy (RE), defined as the energy demand for a given velocity of submaximal running, has been identified as a critical factor of overall distance running performance. Plyometric and resistance trainings, performed during a relatively short period of time (~15–30 days), have been successfully used to improve RE in trained athletes. However, these exercise types, particularly when they are unaccustomed activities for the individuals, may cause delayed onset muscle soreness, swelling, and reduced muscle strength. Some studies have demonstrated that exercise-induced muscle damage has a negative impact on endurance running performance. Specifically, the muscular damage induced by an acute bout of downhill running has been shown to reduce RE during subsequent moderate and high-intensity exercise (>65% VO2max). However, strength exercise (i.e., jumps, isoinertial and isokinetic eccentric exercises) seems to impair RE only for subsequent high-intensity exercise (~90% VO2max). Finally, a single session of resistance exercise or downhill running (i.e., repeated bout effect) attenuates changes in indirect markers of muscle damage and blunts changes in RE.


2014 ◽  
Vol 46 ◽  
pp. 724
Author(s):  
Martin Mooses ◽  
Kerli Mooses ◽  
Jaak Jürimäe ◽  
Diresibachew Haile ◽  
Yannis P. Pitsiladis

2013 ◽  
Vol 8 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Stephen A. Ingham ◽  
Barry W. Fudge ◽  
Jamie S. Pringle ◽  
Andrew M. Jones

Prior high-intensity exercise increases the oxidative energy contribution to subsequent exercise and may enhance exercise tolerance. The potential impact of a high-intensity warm-up on competitive performance, however, has not been investigated.Purpose:To test the hypothesis that a high-intensity warm-up would speed VO2 kinetics and enhance 800-m running performance in well-trained athletes.Methods:Eleven highly trained middle-distance runners completed two 800-m time trials on separate days on an indoor track, preceded by 2 different warm-up procedures. The 800-m time trials were preceded by a 10-min self-paced jog and standardized mobility drills, followed by either 6 × 50-m strides (control [CON]) or 2 × 50-m strides and a continuous high-intensity 200-m run (HWU) at race pace. Blood [La] was measured before the time trials, and VO2 was measured breath by breath throughout exercise.Results:800-m time-trial performance was significantly faster after HWU (124.5 ± 8.3 vs CON, 125.7 ± 8.7 s, P < .05). Blood [La] was greater after HWU (3.6 ± 1.9 vs CON, 1.7 ± 0.8 mM; P < .01). The mean response time for VO2 was not different between conditions (HWU, 27 ± 6 vs CON, 28 ± 7 s), but total O2 consumed (HWU, 119 ± 18 vs CON, 109 ± 28 ml/kg, P = .05) and peak VO2 attained (HWU, 4.21 ± 0.85 vs CON, 3.91 ± 0.63 L/min; P = .08) tended to be greater after HWU.Conclusions:These data indicate that a sustained high-intensity warm-up enhances 800-m time-trial performance in trained athletes.


2021 ◽  
Vol 2 (1) ◽  
pp. 13-14
Author(s):  
Boram Lim ◽  
Young Sub Kwon

Running economy (RE; ml·kg-1·km1) considers as a valid predictor of endurance running performance. Theoretically, improving RE allows runners to cover more distance at constant speed or run faster at a given distance. Stride frequency (SF) is one of the important parameters that affects running performance. The purpose of this study was to investigate the effect of SF on RE and distance while running on the treadmill at the speed of V̇O2max (sV̇O2max) until volitional fatigue. The second purpose was to determine a relationship between RE and running distance during high intensity running. We hypothesized that both RE and running distance would affect significantly by SF variations and there is a positive relationship between RE and running distance. Ten male recreational runners (age: 25.8 ± 5.0 yrs, height: 171.4 ± 6.2 cm, mass: 71.9 ± 7.5 kg) completed total seven experimental sessions including graded exercise test and running session for determining V̇O2max (55.4 ± 5.9 ml·kg-1·min1) and preferred SF (PSF; 88.0±3.9 strides/min), respectively. Running speed was calculated based on V̇O2max using the metabolic equation; V̇O2 (ml·kg-1·min1) = [0.2 × Speed(m/min)] + 3.5(ml·kg-1·min1). Participants performed five separate running sessions (PSF, ±5%, ±10%) on the treadmill at the sV̇O2max with 0% gradient until volitional fatigue. A computer-based metronome was played in order to help maintain a target SF while running. The running distance was significantly different among SF variations (p < 0.01) and all participants ran the greater distance at 105% PSF. However, RE was not statistically significant (p = 0.19) across the SF conditions. There was a low correlation between RE and running distance (r = 0.214, p = 0.14). SF variations have a significant influence on running distance, but not RE during high intensity running. Recretional runners may use 105% PSF during high intensity running to train both aerobic and anaerobic capacity.


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