Literature DB >> 30237239

Interaction between step-to-step variability and metabolic cost of transport during human walking.

Chase G Rock1, Vivien Marmelat1, Jennifer M Yentes1, Ka-Chun Siu2, Kota Z Takahashi3.   

Abstract

Minimizing the metabolic cost of transport can affect selection of the preferred walking speed. While many factors can affect metabolic cost of transport during human walking, its interaction with step-to-step variability is unclear. Here, we aimed to determine the interaction between metabolic cost of transport and step length variability during human walking at different speeds. In particular, two aspects of step length variability were analyzed: the amount of variations ('variations') and the organization of the step-to-step fluctuations ('fluctuations'). Ten healthy, young participants walked on a treadmill at five speeds, ranging from 0.75 to 1.75 m s-1 Metabolic cost of transport, step length variations (coefficient of variation) and step length fluctuations (quantified via detrended fluctuation analysis) were calculated. A mixed-model ANOVA revealed that variations and walking speed were strong predictors of metabolic cost of transport (R 2=0.917, P<0.001), whereas fluctuations were not. Preferred walking speed (1.05±0.20 m s-1) was not significantly different from the speed at which metabolic cost of transport was minimized (1.04±0.05 m s-1; P=0.792), nor from the speed at which fluctuations were most persistent (1.00±0.41 m s-1; P=0.698). The minimization of variations occurred at a faster speed (1.56±0.17 m s-1) than the preferred walking speed (P<0.001). Step length variations likely affect metabolic cost of transport because greater variations are indicative of suboptimal, mechanically inefficient steps. Fluctuations have little or no effect on metabolic cost of transport, but still may relate to preferred walking speed.
© 2018. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Energy; Fractal; Locomotion; Persistence; Step length

Mesh:

Year:  2018        PMID: 30237239      PMCID: PMC6262764          DOI: 10.1242/jeb.181834

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


  50 in total

1.  Complexity, coordination, and health: avoiding pitfalls and erroneous interpretations in fractal analyses.

Authors:  Vivien Marmelat; Didier Delignières
Journal:  Medicina (Kaunas)       Date:  2011       Impact factor: 2.430

Review 2.  Energetic consequences of walking like an inverted pendulum: step-to-step transitions.

Authors:  Arthur D Kuo; J Maxwell Donelan; Andy Ruina
Journal:  Exerc Sport Sci Rev       Date:  2005-04       Impact factor: 6.230

3.  The determinants of the step frequency in walking in humans.

Authors:  G A Cavagna; P Franzetti
Journal:  J Physiol       Date:  1986-04       Impact factor: 5.182

4.  Walking speed influences on gait cycle variability.

Authors:  Kimberlee Jordan; John H Challis; Karl M Newell
Journal:  Gait Posture       Date:  2006-09-18       Impact factor: 2.840

5.  Energetic costs of producing muscle work and force in a cyclical human bouncing task.

Authors:  Jesse C Dean; Arthur D Kuo
Journal:  J Appl Physiol (1985)       Date:  2011-01-06

6.  'Human paced' walking: followers adopt stride time dynamics of leaders.

Authors:  Vivien Marmelat; Didier Delignières; Kjerstin Torre; Peter J Beek; Andreas Daffertshofer
Journal:  Neurosci Lett       Date:  2014-02-16       Impact factor: 3.046

7.  The metabolic and mechanical costs of step time asymmetry in walking.

Authors:  Richard G Ellis; Kevin C Howard; Rodger Kram
Journal:  Proc Biol Sci       Date:  2013-02-13       Impact factor: 5.349

8.  A simple exoskeleton that assists plantarflexion can reduce the metabolic cost of human walking.

Authors:  Philippe Malcolm; Wim Derave; Samuel Galle; Dirk De Clercq
Journal:  PLoS One       Date:  2013-02-13       Impact factor: 3.240

9.  Persistent fluctuations in stride intervals under fractal auditory stimulation.

Authors:  Vivien Marmelat; Kjerstin Torre; Peter J Beek; Andreas Daffertshofer
Journal:  PLoS One       Date:  2014-03-20       Impact factor: 3.240

10.  Autonomous exoskeleton reduces metabolic cost of human walking during load carriage.

Authors:  Luke M Mooney; Elliott J Rouse; Hugh M Herr
Journal:  J Neuroeng Rehabil       Date:  2014-05-09       Impact factor: 4.262

View more
  5 in total

1.  Locomotor patterns change over time during walking on an uneven surface.

Authors:  Jenny A Kent; Joel H Sommerfeld; Mukul Mukherjee; Kota Z Takahashi; Nicholas Stergiou
Journal:  J Exp Biol       Date:  2019-07-16       Impact factor: 3.312

2.  Inter-stride variability triggers gait transitions in mammals and birds.

Authors:  Michael C Granatosky; Caleb M Bryce; Jandy Hanna; Aidan Fitzsimons; Myra F Laird; Kelsey Stilson; Christine E Wall; Callum F Ross
Journal:  Proc Biol Sci       Date:  2018-12-19       Impact factor: 5.349

3.  Reliability and validity of the COSMED K5 portable metabolic system during walking.

Authors:  Jacob P DeBlois; Lindsey E White; Tiago V Barreira
Journal:  Eur J Appl Physiol       Date:  2020-10-04       Impact factor: 3.078

4.  Effect of sampling frequency on fractal fluctuations during treadmill walking.

Authors:  Vivien Marmelat; Austin Duncan; Shane Meltz
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

5.  Outside testing of wearable robots for gait assistance shows a higher metabolic benefit than testing on treadmills.

Authors:  Florian Leander Haufe; Eléonore Gascou Duroyon; Peter Wolf; Robert Riener; Michele Xiloyannis
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.