Literature DB >> 35487220

Running in the wild: Energetics explain ecological running speeds.

Jessica C Selinger1, Jennifer L Hicks2, Rachel W Jackson2, Cara M Wall-Scheffler3, Derek Chang4, Scott L Delp5.   

Abstract

Human runners have long been thought to have the ability to consume a near-constant amount of energy per distance traveled, regardless of speed, allowing speed to be adapted to particular task demands with minimal energetic consequence.1-3 However, recent and more precise laboratory measures indicate that humans may in fact have an energy-optimal running speed.4-6 Here, we characterize runners' speeds in a free-living environment and determine if preferred speed is consistent with task- or energy-dependent objectives. We analyzed a large-scale dataset of free-living runners, which was collected via a commercial fitness tracking device, and found that individual runners preferred a particular speed that did not change across commonly run distances. We compared the data from lab experiments that measured participants' energy-optimal running speeds with the free-living preferred speeds of age- and gender-matched runners in our dataset and found the speeds to be indistinguishable. Human runners prefer a particular running speed that is independent of task distance and is consistent with the objective of minimizing energy expenditure. Our findings offer an insight into the biological objectives that shape human running preferences in the real world-an important consideration when examining human ecology or creating training strategies to improve performance and prevent injury.
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  activity tracking; big data; cost of transport; energetics; fitness tracking; gait; metabolic cost; preferred speed; running; wearable sensing

Mesh:

Year:  2022        PMID: 35487220      PMCID: PMC9169516          DOI: 10.1016/j.cub.2022.03.076

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.900


  45 in total

1.  Energy saving in flight formation.

Authors:  H Weimerskirch; J Martin; Y Clerquin; P Alexandre; S Jiraskova
Journal:  Nature       Date:  2001-10-18       Impact factor: 49.962

2.  Effects of age and walking speed on coactivation and cost of walking in healthy adults.

Authors:  Daniel S Peterson; Philip E Martin
Journal:  Gait Posture       Date:  2010-01-27       Impact factor: 2.840

Review 3.  Locomotion: energy cost of swimming, flying, and running.

Authors:  K Schmidt-Nielsen
Journal:  Science       Date:  1972-07-21       Impact factor: 47.728

4.  Effects of obesity and sex on the energetic cost and preferred speed of walking.

Authors:  Raymond C Browning; Emily A Baker; Jessica A Herron; Rodger Kram
Journal:  J Appl Physiol (1985)       Date:  2005-10-06

5.  Multiple walking speed-frequency relations are predicted by constrained optimization.

Authors:  J E Bertram; A Ruina
Journal:  J Theor Biol       Date:  2001-04-21       Impact factor: 2.691

6.  Marathon performance, anaerobic threshold, and onset of blood lactate accumulation.

Authors:  K Tanaka; Y Matsuura
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1984-09

7.  Gait biomechanics in the era of data science.

Authors:  Reed Ferber; Sean T Osis; Jennifer L Hicks; Scott L Delp
Journal:  J Biomech       Date:  2016-10-27       Impact factor: 2.712

Review 8.  Critical Power: An Important Fatigue Threshold in Exercise Physiology.

Authors:  David C Poole; Mark Burnley; Anni Vanhatalo; Harry B Rossiter; Andrew M Jones
Journal:  Med Sci Sports Exerc       Date:  2016-11       Impact factor: 5.411

9.  Rate of Perceived Exertion and Cardiorespiratory Fitness in Older Adults with and without Alzheimer's Disease.

Authors:  Andrea Bevan; Eric Vidoni; Amber Watts
Journal:  Int J Exerc Sci       Date:  2020-02-01

10.  BMI, a performance parameter for speed improvement.

Authors:  Adrien Sedeaud; Andy Marc; Adrien Marck; Frédéric Dor; Julien Schipman; Maya Dorsey; Amal Haida; Geoffroy Berthelot; Jean-François Toussaint
Journal:  PLoS One       Date:  2014-02-25       Impact factor: 3.240

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