Strength Training in Female Distance Runners: Impact on Running Economy

1997 ◽  
Vol 11 (4) ◽  
pp. 224 ◽  
Author(s):  
Ronald E. Johnson ◽  
Timothy J. Quinn ◽  
Robert Kertzer ◽  
Neil B. Vroman
Keyword(s):  
Strength Training ◽  
Running Economy ◽  
Distance Runners

scholarly journals STRENGTH TRAINING IN FEMALE DISTANCE RUNNERS: IMPACT ON RUNNING ECONOMY

1995 ◽  
Vol 27 (Supplement) ◽  
pp. S8 ◽  
Author(s):  
R. E. Johnston ◽  
T. J. Quinn ◽  
R. Kertzer ◽  
N. B. Vroman
Keyword(s):  
Strength Training ◽  
Running Economy ◽  
Distance Runners

Maximal Strength Training Improves Running Economy in Distance Runners

2008 ◽  
Vol 40 (6) ◽  
pp. 1087-1092 ◽  
Author(s):  
ØYVIND STØREN ◽  
JAN HELGERUD ◽  
EVA MARIA STØA ◽  
JAN HOFF
Keyword(s):  
Strength Training ◽  
Running Economy ◽  
Maximal Strength ◽  
Distance Runners

Physiologic Comparison of Adolescent Female and Male Cross-Country Runners

1990 ◽  
Vol 2 (4) ◽  
pp. 313-321 ◽  
Author(s):  
Lee N. Cunningham
Keyword(s):  
Ventilatory Threshold ◽  
Maximal Oxygen Consumption ◽  
Laboratory Data ◽  
Female Adolescent ◽  
Running Economy ◽  
Adolescent Male ◽  
Distance Runners ◽  
Male And Female ◽  
Cross Country ◽  
Cross Country Runners

To compare the physiologic differences between adolescent male and female cross-country runners, 12 male and 12 female high school nonelite distance runners who had competed successfully at the All State 5-km championship cross-country meet were tested in the laboratory. Data were analyzed in relation to maximal oxygen consumption (VO2max), ventilatory threshold (VT), and running economy (RE). Male runners were taller, heavier, had less body fat, and ran faster by 2 minutes and 18 seconds than female runners. Running economy was similar between gender. VO2 at a 215 m•min−1 pace was 46.7 ml•kg−1•min−1 for male runners and 47.8 ml•kg−1•min−1 for female runners. At the VT, males demonstrated a higher VO2 and treadmill velocity than females. Heart rate, percent HR max, and percent VO2 max at the VT were not different between gender. Males demonstrated a higher VO2 max of 74.6 versus 66.1 ml•kg−1•min−1 than female runners. The fractional utilization of VO2 at race pace was not different between males (90%) and females (91%). In conclusion, the primary physiologic determinant for performance differences between nonelite, competitive male and female adolescent distance runners is associated with VO2 max.

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 Strength-Training with Whole-Body Vibration in Long-Distance Runners: A Randomized Trial

2013 ◽  
Vol 34 (10) ◽  
pp. 917-923 ◽  
Author(s):  
R. Bertuzzi ◽  
L. Pasqua ◽  
S. Bueno ◽  
M. Damasceno ◽  
A. Lima-Silva ◽  
...  
Keyword(s):  
Strength Training ◽  
Randomized Trial ◽  
Whole Body Vibration ◽  
Whole Body ◽  
Distance Runners ◽  
Long Distance ◽  
Body Vibration

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
Keyword(s):  
High Intensity ◽  
Running Economy ◽  
Distance Runners ◽  
Running Performance

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.

Sign in / Sign up

Export Citation Format

Share Document