SHORT-TERM PLYOMETRIC TRAINING IMPROVES RUNNING ECONOMY IN HIGHLY TRAINED MIDDLE AND LONG DISTANCE RUNNERS

2006 ◽  
Vol 20 (4) ◽  
pp. 947-954 ◽  
Author(s):  
PHILO U. SAUNDERS ◽  
RICHARD D. TELFORD ◽  
DAVID B. PYNE ◽  
ESA M. PELTOLA ◽  
ROSS B. CUNNINGHAM ◽  
...  
Keyword(s):  
Running Economy ◽  
Plyometric Training ◽  
Distance Runners ◽  
Short Term ◽  
Long Distance

Short-Term Plyometric Training Improves Running Economy in Highly Trained Middle and Long Distance Runners

2006 ◽  
Vol 20 (4) ◽  
pp. 947 ◽  
Author(s):  
Philo U. Saunders ◽  
Richard D. Telford ◽  
David B. Pyne ◽  
Esa M. Peltola ◽  
Ross B. Cunningham ◽  
...  
Keyword(s):  
Running Economy ◽  
Plyometric Training ◽  
Distance Runners ◽  
Short Term ◽  
Long Distance

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.

Effects of Plyometric Training on Endurance and Explosive Strength Performance in Competitive Middle- and Long-Distance Runners

2014 ◽  
Vol 28 (1) ◽  
pp. 97-104 ◽  
Author(s):  
Rodrigo Ramírez-Campillo ◽  
Cristian Álvarez ◽  
Carlos Henríquez-Olguín ◽  
Eduardo B. Baez ◽  
Cristian Martínez ◽  
...  
Keyword(s):  
Plyometric Training ◽  
Distance Runners ◽  
Long Distance ◽  
Strength Performance ◽  
Explosive Strength

Biofeedback and relaxation techniques improve running economy in sub-elite long distance runners

1999 ◽  
Vol 31 (5) ◽  
pp. 717-722 ◽  
Author(s):  
SARAH JANE CAIRD ◽  
ALEXANDER DUNCAN McKENZIE ◽  
GORDON GRANT SLEIVERT
Keyword(s):  
Running Economy ◽  
Relaxation Techniques ◽  
Distance Runners ◽  
Long Distance

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.

Relationship Between Running Economy and Kinematic Parameters in Long-Distance Runners

2019 ◽  
Vol 33 (7) ◽  
pp. 1921-1928 ◽  
Author(s):  
Federico Pizzuto ◽  
Camila Fonseca de Oliveira ◽  
Tania Socorro Amorim Soares ◽  
Vincenzo Rago ◽  
Gustavo Silva ◽  
...  
Keyword(s):  
Running Economy ◽  
Distance Runners ◽  
Kinematic Parameters ◽  
Long Distance
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