Literature DB >> 21221992

Lower extremity mechanical work during stance phase of running partially explains interindividual variability of metabolic power.

Gary D Heise1, Jeremy D Smith, Philip E Martin.   

Abstract

Recent attention given to the mechanical work of the lower extremity joints, the emerging importance of the stance phase of running, and the lack of consensus regarding the biomechanical correlates to economical running were primary justifications for this study. The purpose of this experiment was to identify the correlations between metabolic power and the positive and negative mechanical work at lower extremity joints during stance. Recreational runners (n = 16) ran on a treadmill at 3.35 m s(-1) for physiological measures and overground for biomechanical measures. Inverse dynamics were used to calculate net joint moments and powers at the ankle, knee, and hip. Joint powers were then integrated over the stance phase so that positive and negative joint mechanical work were correlated with metabolic power (r = 0.60-0.69). Positive work at the hip and ankle during stance was positively correlated to metabolic power. In addition to these results, more economical runners (lower metabolic power) exhibited greater negative work at the hip, greater positive work at the knee, and less negative work at the ankle. Between the most and least economical runners, different mechanical strategies were present at the hip and knee, whereas the kinetics of the ankle joint differed only in magnitude.

Mesh:

Year:  2011        PMID: 21221992     DOI: 10.1007/s00421-010-1793-z

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  27 in total

1.  Partitioning the energetics of walking and running: swinging the limbs is expensive.

Authors:  Richard L Marsh; David J Ellerby; Jennifer A Carr; Havalee T Henry; Cindy I Buchanan
Journal:  Science       Date:  2004-01-02       Impact factor: 47.728

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Authors:  D W Morgan; M Craib
Journal:  Med Sci Sports Exerc       Date:  1992-04       Impact factor: 5.411

3.  Mechanical power and efficiency of level walking with different stride rates.

Authors:  Brian R Umberger; Philip E Martin
Journal:  J Exp Biol       Date:  2007-09       Impact factor: 3.312

4.  Relationships between running economy and temporal EMG characteristics of bi-articular leg muscles.

Authors:  G D Heise; D W Morgan; H Hough; M Craib
Journal:  Int J Sports Med       Date:  1996-02       Impact factor: 3.118

5.  Effect of vertical loading on energy cost and kinematics of running in trained male subjects.

Authors:  M Bourdin; A Belli; L M Arsac; C Bosco; J R Lacour
Journal:  J Appl Physiol (1985)       Date:  1995-12

6.  Muscular force in running turkeys: the economy of minimizing work.

Authors:  T J Roberts; R L Marsh; P G Weyand; C R Taylor
Journal:  Science       Date:  1997-02-21       Impact factor: 47.728

7.  Fitting of mathematical functions to biomechanical data.

Authors:  K M Jackson
Journal:  IEEE Trans Biomed Eng       Date:  1979-02       Impact factor: 4.538

8.  Regression equations to predict segmental moments of inertia from anthropometric measurements: an extension of the data of Chandler et al. (1975).

Authors:  R N Hinrichs
Journal:  J Biomech       Date:  1985       Impact factor: 2.712

9.  A model for the calculation of mechanical power during distance running.

Authors:  K R Williams; P R Cavanagh
Journal:  J Biomech       Date:  1983       Impact factor: 2.712

10.  A method to determine the angular momentum of a human body about three orthogonal axes passing through its center of gravity.

Authors:  J Dapena
Journal:  J Biomech       Date:  1978       Impact factor: 2.712

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