Literature DB >> 25681108

Factors affecting the energy cost of level running at submaximal speed.

Jean-René Lacour1, Muriel Bourdin.   

Abstract

Metabolic measurement is still the criterion for investigation of the efficiency of mechanical work and for analysis of endurance performance in running. Metabolic demand may be expressed either as the energy spent per unit distance (energy cost of running, C r) or as energy demand at a given running speed (running economy). Systematic studies showed a range of costs of about 20 % between runners. Factors affecting C r include body dimensions: body mass and leg architecture, mostly calcaneal tuberosity length, responsible for 60-80 % of the variability. Children show a higher C r than adults. Higher resting metabolism and lower leg length/stature ratio are the main putative factors responsible for the difference. Elastic energy storage and reuse also contribute to the variability of C r. The increase in C r with increasing running speed due to increase in mechanical work is blunted till 6-7 m s(-1) by the increase in vertical stiffness and the decrease in ground contact time. Fatigue induced by prolonged or intense running is associated with up to 10 % increased C r; the contribution of metabolic and biomechanical factors remains unclear. Women show a C r similar to men of similar body mass, despite differences in gait pattern. The superiority of black African runners is presumably related to their leg architecture and better elastic energy storage and reuse.

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Year:  2015        PMID: 25681108     DOI: 10.1007/s00421-015-3115-y

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  217 in total

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Journal:  Eur J Appl Physiol       Date:  2012-03-02       Impact factor: 3.078

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Journal:  J Exp Biol       Date:  2008-10       Impact factor: 3.312

3.  Improved running economy following intensified training correlates with reduced ventilatory demands.

Authors:  J Franch; K Madsen; M S Djurhuus; P K Pedersen
Journal:  Med Sci Sports Exerc       Date:  1998-08       Impact factor: 5.411

4.  A five year physiological case study of an Olympic runner.

Authors:  A M Jones
Journal:  Br J Sports Med       Date:  1998-03       Impact factor: 13.800

5.  Effects of different uphill interval-training programs on running economy and performance.

Authors:  Kyle R Barnes; Will G Hopkins; Michael R McGuigan; Andrew E Kilding
Journal:  Int J Sports Physiol Perform       Date:  2013-03-26       Impact factor: 4.010

6.  The energetics of middle-distance running.

Authors:  J R Lacour; S Padilla-Magunacelaya; J C Barthélémy; D Dormois
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1990

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Authors:  P R Cavanagh; M L Pollock; J Landa
Journal:  Ann N Y Acad Sci       Date:  1977       Impact factor: 5.691

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Authors:  P Luhtanen; P V Komi
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1978-02-21

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Authors:  D L Conley; G S Krahenbuhl
Journal:  Med Sci Sports Exerc       Date:  1980       Impact factor: 5.411

10.  Oxygen uptake during running as related to body mass in circumpubertal boys: a longitudinal study.

Authors:  B Sjödin; J Svedenhag
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992
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  27 in total

1.  Comparison of the influence of age on cycling efficiency and the energy cost of running in well-trained triathletes.

Authors:  Jeremiah Peiffer; Chris R Abbiss; Frederic Sultana; Thierry Bernard; Jeanick Brisswalter
Journal:  Eur J Appl Physiol       Date:  2015-09-21       Impact factor: 3.078

Review 2.  The energy cost of sprint running and the role of metabolic power in setting top performances.

Authors:  Pietro E di Prampero; Alberto Botter; Cristian Osgnach
Journal:  Eur J Appl Physiol       Date:  2014-12-31       Impact factor: 3.078

Review 3.  Energetics and Biomechanics of Running Footwear with Increased Longitudinal Bending Stiffness: A Narrative Review.

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4.  Author's Reply to Candau et al.: Comment on: "How Biomechanical Improvements in Running Economy Could Break the 2-Hour Marathon Barrier".

Authors:  Wouter Hoogkamer; Rodger Kram; Christopher J Arellano
Journal:  Sports Med       Date:  2017-11       Impact factor: 11.136

Review 5.  How Biomechanical Improvements in Running Economy Could Break the 2-hour Marathon Barrier.

Authors:  Wouter Hoogkamer; Rodger Kram; Christopher J Arellano
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

6.  Modeling the Benefits of Cooperative Drafting: Is There an Optimal Strategy to Facilitate a Sub-2-Hour Marathon Performance?

Authors:  Wouter Hoogkamer; Kristine L Snyder; Christopher J Arellano
Journal:  Sports Med       Date:  2018-12       Impact factor: 11.136

7.  Level, uphill and downhill running economy values are strongly inter-correlated.

Authors:  Timothy Joseph Breiner; Amanda Louise Ryan Ortiz; Rodger Kram
Journal:  Eur J Appl Physiol       Date:  2018-10-24       Impact factor: 3.078

8.  Comparison of Level and Graded Treadmill Tests to Evaluate Endurance Mountain Runners.

Authors:  Pascal Balducci; Michel Clémençon; Baptiste Morel; Géraud Quiniou; Damien Saboul; Christophe A Hautier
Journal:  J Sports Sci Med       Date:  2016-05-23       Impact factor: 2.988

9.  Estimating VO2max in children aged 5-6 years through the preschool-adapted 20-m shuttle-run test (PREFIT).

Authors:  Jose Mora-Gonzalez; Cristina Cadenas-Sanchez; Borja Martinez-Tellez; Guillermo Sanchez-Delgado; Jonatan R Ruiz; Luc Léger; Francisco B Ortega
Journal:  Eur J Appl Physiol       Date:  2017-09-20       Impact factor: 3.078

10.  Eliminating high-intensity activity during growth reduces mechanical power capacity but not submaximal metabolic cost in a bipedal animal model.

Authors:  Suzanne Michelle Cox; Matthew Q Salzano; Stephen J Piazza; Jonas Rubenson
Journal:  J Appl Physiol (1985)       Date:  2019-11-21
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