Literature DB >> 17921153

Reappraisal of the comparative cost of human locomotion using gait-specific allometric analyses.

Jonas Rubenson1, Denham B Heliams, Shane K Maloney, Philip C Withers, David G Lloyd, Paul A Fournier.   

Abstract

The alleged high net energy cost of running and low net energy cost of walking in humans have played an important role in the interpretation of the evolution of human bipedalism and the biomechanical determinants of the metabolic cost of locomotion. This study re-explores how the net metabolic energy cost of running and walking (J kg(-1) m(-1)) in humans compares to that of animals of similar mass using new allometric analyses of previously published data. Firstly, this study shows that the use of the slope of the regression between the rate of energy expenditure and speed to calculate the net energy cost of locomotion overestimates the net cost of human running. Also, the net energy cost of human running is only 17% higher than that predicted based on their mass. This value is not exceptional given that over a quarter of the previously examined mammals and birds have a net energy cost of running that is 17% or more above their allometrically predicted value. Using a new allometric equation for the net energy cost of walking, this study also shows that human walking is 20% less expensive than predicted for their mass. Of the animals used to generate this equation, 25% have a relatively lower net cost of walking compared with their allometrically predicted value. This new walking allometric analysis also indicates that the scaling of the net energy cost of locomotion with body mass is gait dependent. In conclusion, the net costs of running and walking in humans are moderately different from those predicted from allometry and are not remarkable for an animal of its size.

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Year:  2007        PMID: 17921153     DOI: 10.1242/jeb.000992

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  22 in total

1.  Adaptations for economical bipedal running: the effect of limb structure on three-dimensional joint mechanics.

Authors:  Jonas Rubenson; David G Lloyd; Denham B Heliams; Thor F Besier; Paul A Fournier
Journal:  J R Soc Interface       Date:  2010-10-28       Impact factor: 4.118

2.  The musculoskeletal system of humans is not tuned to maximize the economy of locomotion.

Authors:  David R Carrier; Christoph Anders; Nadja Schilling
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-07       Impact factor: 11.205

3.  Self-selected speeds and metabolic cost of longboard skateboarding.

Authors:  Wayne J Board; Raymond C Browning
Journal:  Eur J Appl Physiol       Date:  2014-08-02       Impact factor: 3.078

4.  Gait-specific energetics contributes to economical walking and running in emus and ostriches.

Authors:  Rebecca R Watson; Jonas Rubenson; Lisa Coder; Donald F Hoyt; Matthew W G Propert; Richard L Marsh
Journal:  Proc Biol Sci       Date:  2010-12-01       Impact factor: 5.349

5.  Obesity does not impair walking economy across a range of speeds and grades.

Authors:  Raymond C Browning; Michelle M Reynolds; Wayne J Board; Kellie A Walters; Raoul F Reiser
Journal:  J Appl Physiol (1985)       Date:  2013-02-14

6.  Variety, sex and ontogenetic differences in the pelvic limb muscle architectural properties of leghorn chickens (Gallus gallus domesticus) and their links with locomotor performance.

Authors:  Kayleigh A Rose; Robert L Nudds; Jonathan R Codd
Journal:  J Anat       Date:  2016-03-11       Impact factor: 2.610

7.  The evolution of the upright posture and gait--a review and a new synthesis.

Authors:  Carsten Niemitz
Journal:  Naturwissenschaften       Date:  2010-02-03

8.  A comparative collision-based analysis of human gait.

Authors:  David V Lee; Tudor N Comanescu; Michael T Butcher; John E A Bertram
Journal:  Proc Biol Sci       Date:  2013-10-02       Impact factor: 5.349

9.  Biomechanics of running indicates endothermy in bipedal dinosaurs.

Authors:  Herman Pontzer; Vivian Allen; John R Hutchinson
Journal:  PLoS One       Date:  2009-11-11       Impact factor: 3.240

10.  Food insecurity as a driver of obesity in humans: The insurance hypothesis.

Authors:  Daniel Nettle; Clare Andrews; Melissa Bateson
Journal:  Behav Brain Sci       Date:  2016-07-28       Impact factor: 12.579

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