Literature DB >> 1560745

Biomechanical considerations for economical walking and running.

P E Martin1, D W Morgan.   

Abstract

It has been suggested that biomechanical factors play a role in explaining interindividual differences in movement economy, but it is not apparent how important this role is nor how consistently these factors explain such differences. The purpose of this review is to summarize our current state of knowledge regarding the relationships between gait economy and selected body structure and biomechanical factors. Because the research literature contains other review papers on this general topic, it is not the intent to provide a comprehensive analysis of all anatomical and biomechanical factors that have been examined previously. The review considers not only some topics of very recent interest (e.g., Does flexibility/joint range of motion affect gait economy? Can gait mechanics and economy be altered effectively via biomechanical feedback?), but also topics that have been examined considerably over many years (e.g., Is economy of motion associated with body mass, mass distribution, speed of movement, stride length and rate, and gait kinetics?). Results from the many studies reviewed confirm the notion that several structural and biomechanical factors offer some potential for explaining economy differences between individuals. Nevertheless, the relationships that have been observed between economy and individual descriptors of body structural and gait mechanics have generally been weak and inconsistent from study to study. Variables that describe muscular effort appear to have the greatest potential for explaining metabolic energy demands during walking and running. Unfortunately, at present it is unclear what quantifiable descriptors can best reflect muscle force production.

Mesh:

Year:  1992        PMID: 1560745

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  18 in total

Review 1.  Exercise, mobility and aging.

Authors:  M J Daley; W L Spinks
Journal:  Sports Med       Date:  2000-01       Impact factor: 11.136

2.  Factors associated with the selection of the freely chosen cadence in non-cyclists.

Authors:  Anthony G Whitty; Aron J Murphy; Aaron J Coutts; Mark L Watsford
Journal:  Eur J Appl Physiol       Date:  2009-05-09       Impact factor: 3.078

3.  Influence of gait manipulation on running economy in female distance runners.

Authors:  Wayland Tseh; Jennifer L Caputo; Don W Morgan
Journal:  J Sports Sci Med       Date:  2008-03-01       Impact factor: 2.988

4.  Can measures of muscle-tendon interaction improve our understanding of the superiority of Kenyan endurance runners?

Authors:  Kanae Sano; Caroline Nicol; Masanobu Akiyama; Yoko Kunimasa; Toshiaki Oda; Akira Ito; Elio Locatelli; Paavo V Komi; Masaki Ishikawa
Journal:  Eur J Appl Physiol       Date:  2014-12-05       Impact factor: 3.078

5.  Oxygen consumption, oxygen cost, heart rate, and perceived effort during split-belt treadmill walking in young healthy adults.

Authors:  Jaimie A Roper; Elizabeth L Stegemöller; Mark D Tillman; Chris J Hass
Journal:  Eur J Appl Physiol       Date:  2012-08-30       Impact factor: 3.078

6.  Exercise-induced changes in triceps surae tendon stiffness and muscle strength affect running economy in humans.

Authors:  Kirsten Albracht; Adamantios Arampatzis
Journal:  Eur J Appl Physiol       Date:  2013-01-18       Impact factor: 3.078

7.  Walking economy in people with Parkinson's disease.

Authors:  Cory L Christiansen; Margaret L Schenkman; Kim McFann; Pamela Wolfe; Wendy M Kohrt
Journal:  Mov Disord       Date:  2009-07-30       Impact factor: 10.338

8.  Validation of the mywellness key in walking and running speeds.

Authors:  Marco Bergamin; Andrea Ermolao; John C Sieverdes; Marco Zaccaria; Silvano Zanuso
Journal:  J Sports Sci Med       Date:  2012-03-01       Impact factor: 2.988

9.  Increased strength and decreased flexibility are related to reduced oxygen cost of walking.

Authors:  Gary R Hunter; John P McCarthy; David R Bryan; Paul A Zuckerman; Marcas M Bamman; Nuala M Byrne
Journal:  Eur J Appl Physiol       Date:  2008-08-29       Impact factor: 3.078

10.  High resolution MEMS accelerometers to estimate VO2 and compare running mechanics between highly trained inter-collegiate and untrained runners.

Authors:  Stephen J McGregor; Michael A Busa; James A Yaggie; Erik M Bollt
Journal:  PLoS One       Date:  2009-10-06       Impact factor: 3.240

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