Literature DB >> 28859410

Does the Treadmill Support Valid Energetics Estimates of Field Locomotion?

Owen R Bidder1,2, Colette Goulding3, Alejandra Toledo3, Tessa A van Walsum3, Ursula Siebert1, Lewis G Halsey3.   

Abstract

SYNOPSIS: Quantifying animal energy expenditure during locomotion in the field is generally based either on treadmill measurements or on estimates derived from a measured proxy. Two common proxies are heart rate (ƒH) and dynamic body acceleration (accelerometry). Both ƒH and accelerometry have been calibrated extensively under laboratory conditions, which typically involve prompting the animal to locomote on a treadmill at different speeds while simultaneously recording its rate of oxygen uptake (V̇o2) and the proxy. Field estimates of V̇o2 during locomotion obtained directly from treadmill running or from treadmill-calibrated proxies make assumptions about similarities between running in the field and in the laboratory. The present study investigated these assumptions, focusing on humans as a tractable species. First we investigated experimentally if and how the rate of energy expenditure during treadmill locomotion differs to that during field locomotion at the same speeds, with participants walking and running on a treadmill, on tarmac, and on grass, while wearing a mobile respirometry system. V̇o2 was substantially higher during locomotion in both of the field conditions compared with on a level treadmill: 9.1% on tarmac and 17.7% on grass. Second, we included these data in a meta-analysis of previous, related studies. The results were influenced by the studies excluded due to particulars of the experiment design, suggesting that participant age, the surface type, and the degree of turning during field locomotion may influence by how much treadmill and field locomotion V̇o2 differ. Third, based on our experiments described earlier, we investigated the accuracy of treadmill-calibrated accelerometry and ƒH for estimating V̇o2 in the field. The mean algebraic estimate errors varied between 10% and 35%, with the ƒH associated errors being larger than those derived from accelerometry. The mean algebraic errors were all underestimates of field V̇o2, by around 10% for fH and varying between 0% and 15% for accelerometry. Researchers should question and consider how accurately a treadmill-derived proxy calibration of V̇o2 will estimate V̇o2 during terrestrial locomotion in free-living animals.
© The Author 2017. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

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Year:  2017        PMID: 28859410     DOI: 10.1093/icb/icx038

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  6 in total

1.  Estimates for energy expenditure in free-living animals using acceleration proxies: A reappraisal.

Authors:  Rory P Wilson; Luca Börger; Mark D Holton; D Michael Scantlebury; Agustina Gómez-Laich; Flavio Quintana; Frank Rosell; Patricia M Graf; Hannah Williams; Richard Gunner; Lloyd Hopkins; Nikki Marks; Nathan R Geraldi; Carlos M Duarte; Rebecca Scott; Michael S Strano; Hermina Robotka; Christophe Eizaguirre; Andreas Fahlman; Emily L C Shepard
Journal:  J Anim Ecol       Date:  2019-06-27       Impact factor: 5.091

2.  A Systematic Review and Meta-Analysis of Crossover Studies Comparing Physiological, Perceptual and Performance Measures Between Treadmill and Overground Running.

Authors:  Jayme R Miller; Bas Van Hooren; Chris Bishop; Jonathan D Buckley; Richard W Willy; Joel T Fuller
Journal:  Sports Med       Date:  2019-05       Impact factor: 11.136

3.  Terrestrial locomotion energy costs vary considerably between species: no evidence that this is explained by rate of leg force production or ecology.

Authors:  Lewis G Halsey; Craig R White
Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

4.  Comparison of energy expenditure and substrate metabolism during overground and motorized treadmill running in Chinese middle-aged women.

Authors:  Shuo Li; Jing-Jing Xue; Ping Hong; Chao Song; Zi-Hong He
Journal:  Sci Rep       Date:  2020-02-04       Impact factor: 4.379

5.  Acceleration predicts energy expenditure in a fat, flightless, diving bird.

Authors:  Olivia Hicks; Akiko Kato; Frederic Angelier; Danuta M Wisniewska; Catherine Hambly; John R Speakman; Coline Marciau; Yan Ropert-Coudert
Journal:  Sci Rep       Date:  2020-12-09       Impact factor: 4.379

6.  The Ecology of Exercise: Mechanisms Underlying Individual Variation in Behavior, Activity, and Performance: An Introduction to Symposium.

Authors:  Shaun S Killen; Ryan Calsbeek; Tony D Williams
Journal:  Integr Comp Biol       Date:  2017-08-01       Impact factor: 3.326

  6 in total

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