Literature DB >> 33749464

Muscle metabolic energy costs while modifying propulsive force generation during walking.

Richard E Pimentel1, Noah L Pieper1, William H Clark1, Jason R Franz1.   

Abstract

We pose that an age-related increase in the metabolic cost of walking arises in part from a redistribution of joint power where muscles spanning the hip compensate for insufficient ankle push-off and smaller peak propulsive forces (FP). Young adults elicit a similar redistribution when walking with smaller FP via biofeedback. We used targeted FP biofeedback and musculoskeletal models to estimate the metabolic costs of operating lower limb muscles in young adults walking across a range of FP. Our simulations support the theory of distal-to-proximal redistribution of joint power as a determinant of increased metabolic cost in older adults during walking.

Entities:  

Keywords:  Modeling; aging; biofeedback; power; redistribution; treadmill

Mesh:

Year:  2021        PMID: 33749464      PMCID: PMC8715539          DOI: 10.1080/10255842.2021.1900134

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  48 in total

1.  Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait.

Authors:  Apoorva Rajagopal; Christopher L Dembia; Matthew S DeMers; Denny D Delp; Jennifer L Hicks; Scott L Delp
Journal:  IEEE Trans Biomed Eng       Date:  2016-07-07       Impact factor: 4.538

2.  Aging modifies joint power and work when gait speeds are matched.

Authors:  Luis Eduardo Cofré; Noel Lythgo; David Morgan; Mary P Galea
Journal:  Gait Posture       Date:  2011-01-20       Impact factor: 2.840

3.  How muscle fiber lengths and velocities affect muscle force generation as humans walk and run at different speeds.

Authors:  Edith M Arnold; Samuel R Hamner; Ajay Seth; Matthew Millard; Scott L Delp
Journal:  J Exp Biol       Date:  2013-03-07       Impact factor: 3.312

4.  A comparison of muscle energy models for simulating human walking in three dimensions.

Authors:  Ross H Miller
Journal:  J Biomech       Date:  2014-02-15       Impact factor: 2.712

Review 5.  Walking ability to predict future cognitive decline in old adults: A scoping review.

Authors:  Lisette H J Kikkert; Nicolas Vuillerme; Jos P van Campen; Tibor Hortobágyi; Claudine J Lamoth
Journal:  Ageing Res Rev       Date:  2016-02-06       Impact factor: 10.895

6.  Mechanics and energetics of step-to-step transitions isolated from human walking.

Authors:  Caroline H Soo; J Maxwell Donelan
Journal:  J Exp Biol       Date:  2010-12-15       Impact factor: 3.312

7.  Calf muscle-tendon properties and postural balance in old age.

Authors:  Gladys L Onambele; Marco V Narici; Constantinos N Maganaris
Journal:  J Appl Physiol (1985)       Date:  2006-02-02

8.  Biomechanical gait alterations independent of speed in the healthy elderly: evidence for specific limiting impairments.

Authors:  D C Kerrigan; M K Todd; U Della Croce; L A Lipsitz; J J Collins
Journal:  Arch Phys Med Rehabil       Date:  1998-03       Impact factor: 3.966

9.  Walking with increased ankle pushoff decreases hip muscle moments.

Authors:  Cara L Lewis; Daniel P Ferris
Journal:  J Biomech       Date:  2008-07-07       Impact factor: 2.712

10.  Once-per-step control of ankle-foot prosthesis push-off work reduces effort associated with balance during walking.

Authors:  Myunghee Kim; Steven H Collins
Journal:  J Neuroeng Rehabil       Date:  2015-05-01       Impact factor: 4.262

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  2 in total

1.  Age-related differences in calf muscle recruitment strategies in the time-frequency domain during walking as a function of task demand.

Authors:  Hoon Kim; Jason R Franz
Journal:  J Appl Physiol (1985)       Date:  2021-09-02

2.  Quantifying mechanical and metabolic interdependence between speed and propulsive force during walking.

Authors:  Richard E Pimentel; Jordan N Feldman; Michael D Lewek; Jason R Franz
Journal:  Front Sports Act Living       Date:  2022-09-09
  2 in total

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