Literature DB >> 28729390

Walking economy is predictably determined by speed, grade, and gravitational load.

Lindsay W Ludlow1, Peter G Weyand2.   

Abstract

The metabolic energy that human walking requires can vary by more than 10-fold, depending on the speed, surface gradient, and load carried. Although the mechanical factors determining economy are generally considered to be numerous and complex, we tested a minimum mechanics hypothesis that only three variables are needed for broad, accurate prediction: speed, surface grade, and total gravitational load. We first measured steady-state rates of oxygen uptake in 20 healthy adult subjects during unloaded treadmill trials from 0.4 to 1.6 m/s on six gradients: -6, -3, 0, 3, 6, and 9°. Next, we tested a second set of 20 subjects under three torso-loading conditions (no-load, +18, and +31% body weight) at speeds from 0.6 to 1.4 m/s on the same six gradients. Metabolic rates spanned a 14-fold range from supine rest to the greatest single-trial walking mean (3.1 ± 0.1 to 43.3 ± 0.5 ml O2·kg-body-1·min-1, respectively). As theorized, the walking portion (V̇o2-walk =  V̇o2-gross - V̇o2-supine-rest) of the body's gross metabolic rate increased in direct proportion to load and largely in accordance with support force requirements across both speed and grade. Consequently, a single minimum-mechanics equation was derived from the data of 10 unloaded-condition subjects to predict the pooled mass-specific economy (V̇o2-gross, ml O2·kg-body + load-1·min-1) of all the remaining loaded and unloaded trials combined (n = 1,412 trials from 90 speed/grade/load conditions). The accuracy of prediction achieved (r2 = 0.99, SEE = 1.06 ml O2·kg-1·min-1) leads us to conclude that human walking economy is predictably determined by the minimum mechanical requirements present across a broad range of conditions.NEW & NOTEWORTHY Introduced is a "minimum mechanics" model that predicts human walking economy across a broad range of conditions from only three variables: speed, surface grade, and body-plus-load mass. The derivation/validation data set includes steady-state loaded and unloaded walking trials (n = 3,414) that span a fourfold range of walking speeds on each of six different surface gradients (-6 to +9°). The accuracy of our minimum mechanics model (r2 = 0.99; SEE = 1.06 ml O2·kg-1·min-1) appreciably exceeds that of currently used standards.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  algorithm; generalized equation; load carriage; locomotion; metabolism; wearable sensors

Mesh:

Year:  2017        PMID: 28729390     DOI: 10.1152/japplphysiol.00504.2017

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  5 in total

1.  Real-world walking economy: can laboratory equations predict field energy expenditure?

Authors:  Peter G Weyand; Lindsay W Ludlow; Jennifer J Nollkamper; Mark J Buller
Journal:  J Appl Physiol (1985)       Date:  2021-08-19

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Authors:  Josh Foster; James W Smallcombe; Simon Hodder; Ollie Jay; Andreas D Flouris; George Havenith
Journal:  Int J Biometeorol       Date:  2021-11-06       Impact factor: 3.787

5.  Improved heat coefficients for joint-space metabolic energy expenditure model during level, uphill, and downhill walking.

Authors:  Jazmin Cruz; James Yang
Journal:  PLoS One       Date:  2022-04-14       Impact factor: 3.752

  5 in total

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