Literature DB >> 22507350

Shoe midsole hardness, sex and age effects on lower extremity kinematics during running.

Benno M Nigg1, Jennifer Baltich, Christian Maurer, Peter Federolf.   

Abstract

Previous studies investigating the effects of shoe midsole hardness on running kinematics have often used male subjects from within a narrow age range. It is unknown whether shoe midsole hardness has the same kinematic effect on male and female runners as well as runners from different age categories. As sex and age have an effect on running kinematics, it is important to understand if shoe midsole hardness affects the kinematics of these groups in a similar fashion. However, current literature on the effects of sex and age on running kinematics are also limited to a narrow age range distribution in their study population. Therefore, this study tested the influence of three different midsole hardness conditions, sex and age on the lower extremity kinematics during heel-toe running. A comprehensive analysis approach was used to analyze the lower-extremity kinematic gait variables for 93 runners (male and female) aged 16-75 years. Participants ran at 3.33±0.15 m/s on a 30 m-long runway with soft, medium and hard midsoles. A principal component analysis combined with a support vector machine showed that running kinematics based on shoe midsole hardness, sex, and age were separable and classifiable. Shoe midsole hardness demonstrated a subject-independent effect on the kinematics of running. Additionally, it was found that age differences affected the more dominant movement components of running compared to differences due to the sex of a runner.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22507350     DOI: 10.1016/j.jbiomech.2012.03.027

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  20 in total

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4.  How does ankle-foot orthosis stiffness affect gait in patients with lower limb salvage?

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Authors:  Greenhalgh Andrew; Sinclair Jonathan
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6.  A novel approach to solve the "missing marker problem" in marker-based motion analysis that exploits the segment coordination patterns in multi-limb motion data.

Authors:  Peter Andreas Federolf
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7.  Gender and age-related differences in bilateral lower extremity mechanics during treadmill running.

Authors:  Angkoon Phinyomark; Blayne A Hettinga; Sean T Osis; Reed Ferber
Journal:  PLoS One       Date:  2014-08-19       Impact factor: 3.240

8.  The effects of isolated ankle strengthening and functional balance training on strength, running mechanics, postural control and injury prevention in novice runners: design of a randomized controlled trial.

Authors:  Jennifer Baltich; Carolyn A Emery; Darren Stefanyshyn; Benno M Nigg
Journal:  BMC Musculoskelet Disord       Date:  2014-12-04       Impact factor: 2.362

9.  Shoe cushioning, body mass and running biomechanics as risk factors for running injury: a study protocol for a randomised controlled trial.

Authors:  Laurent Malisoux; Nicolas Delattre; Axel Urhausen; Daniel Theisen
Journal:  BMJ Open       Date:  2017-08-21       Impact factor: 2.692

10.  Subspace identification and classification of healthy human gait.

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Journal:  PLoS One       Date:  2013-07-08       Impact factor: 3.240

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