Literature DB >> 8010138

The transition between walking and running in humans: metabolic and mechanical aspects at different gradients.

A E Minetti1, L P Ardigò, F Saibene.   

Abstract

Five subjects walked and ran at overlapping speeds and different gradients on a motorized treadmill. At each gradient the speed was obtained at which walking and running have the same metabolic cost (Sm) and the speed of spontaneous (Ss) transition between the two gaits was measured. Ss was found to be statistically lower than Sm at all gradients, the difference being in the range of 0.5-0.9 km h-1. The motion analysis of walking reveals that at all gradients and at increasing speed: (1) the percentage of recovery, an index of mechanical energy saving related to the pendulum-like characteristic of walking, decreases; (2) the lower limb spread reaches a limit in walking; and consequently (3) both the stride frequency and the internal mechanical work, due to limb acceleration in relation to the body centre of mass, increase much more in walking than in running. Switching to a run, although implying a higher frequency, makes the internal work decrease as a result of the lower limb spread. In this paper several influences, such as the 'ratings of perceived exertion' (RPE), on the choice of beginning to run when it is more economical to walk, are discussed. A tentative hypothesis on the determinants of Ss, which is emphasized to be a speed which has to be studied in detail but is generally avoided in locomotion, is based on a comfort criterion from peripheric afferences and is reflected by the fact that at Ss a running stride costs as much as a walking stride.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1994        PMID: 8010138     DOI: 10.1111/j.1748-1716.1994.tb09692.x

Source DB:  PubMed          Journal:  Acta Physiol Scand        ISSN: 0001-6772


  42 in total

1.  The optimal locomotion on gradients: walking, running or cycling?

Authors:  L P Ardigò; F Saibene; A E Minetti
Journal:  Eur J Appl Physiol       Date:  2003-07-25       Impact factor: 3.078

2.  The metabolic transition speed between backward walking and running.

Authors:  Elmarie Terblanche; Werner A Cloete; Pieter A L du Plessis; Jacques N Sadie; Annemie Strauss; Marianne Unger
Journal:  Eur J Appl Physiol       Date:  2003-07-26       Impact factor: 3.078

3.  Gait selection in the ostrich: mechanical and metabolic characteristics of walking and running with and without an aerial phase.

Authors:  Jonas Rubenson; Denham B Heliams; David G Lloyd; Paul A Fournier
Journal:  Proc Biol Sci       Date:  2004-05-22       Impact factor: 5.349

4.  Stride lengths, speed and energy costs in walking of Australopithecus afarensis: using evolutionary robotics to predict locomotion of early human ancestors.

Authors:  William I Sellers; Gemma M Cain; Weijie Wang; Robin H Crompton
Journal:  J R Soc Interface       Date:  2005-12-22       Impact factor: 4.118

5.  Why not walk faster?

Authors:  James Richard Usherwood
Journal:  Biol Lett       Date:  2005-09-22       Impact factor: 3.703

6.  Walking and running on the circular treadmill: transition speed and podokinetic aftereffects.

Authors:  Gammon M Earhart
Journal:  J Mot Behav       Date:  2006-09       Impact factor: 1.328

7.  Compliant leg behaviour explains basic dynamics of walking and running.

Authors:  Hartmut Geyer; Andre Seyfarth; Reinhard Blickhan
Journal:  Proc Biol Sci       Date:  2006-11-22       Impact factor: 5.349

8.  Visual flow influences gait transition speed and preferred walking speed.

Authors:  Betty J Mohler; William B Thompson; Sarah H Creem-Regehr; Herbert L Pick; William H Warren
Journal:  Exp Brain Res       Date:  2007-03-20       Impact factor: 1.972

9.  Evidence for energy savings from aerial running in the Svalbard rock ptarmigan (Lagopus muta hyperborea).

Authors:  R L Nudds; L P Folkow; J J Lees; P G Tickle; K-A Stokkan; J R Codd
Journal:  Proc Biol Sci       Date:  2011-02-02       Impact factor: 5.349

10.  Kinematic determinants of human locomotion.

Authors:  N A Borghese; L Bianchi; F Lacquaniti
Journal:  J Physiol       Date:  1996-08-01       Impact factor: 5.182

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