Literature DB >> 27573696

Age-Related Differences in Gait Kinematics, Kinetics, and Muscle Function: A Principal Component Analysis.

Sarah A Schloemer1, Julie A Thompson2,3, Amy Silder2, Darryl G Thelen4, Robert A Siston5,6,7.   

Abstract

Age-related increased hip extensor recruitment during gait is a proposed compensation strategy for reduced ankle power generation and may indicate a distal-to-proximal shift in muscle function with age. Extending beyond joint level analyses, identifying age-related changes at the muscle level could capture more closely the underlying mechanisms responsible for movement. The purpose of this study was to characterize and compare muscle forces and induced accelerations during gait in healthy older adults with those of young adults. Simulations of one gait cycle for ten older (73.9 ± 5.3 years) and six young (21.0 ± 2.1 years) adults walking at their self-selected speed were analyzed. Muscle force and induced acceleration waveforms, along with kinematic, kinetic, and muscle activation waveforms, were compared between age-groups using principal component analysis. Simulations of healthy older adults had greater gluteus maximus force and vertical support contribution, but smaller iliacus force, psoas force, and psoas vertical support contribution. There were no age-group differences in distal muscle force, contribution, or ankle torque magnitudes. Later peak dorsiflexion and peak ankle angular velocity in older adults may have contributed to their greater ankle power absorption during stance. These findings reveal the complex interplay between age-related changes in neuromuscular control, kinematics, and muscle function during gait.

Keywords:  Distal-to-proximal; Dynamic simulations; Joint power

Mesh:

Year:  2016        PMID: 27573696     DOI: 10.1007/s10439-016-1713-4

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  4 in total

1.  Non-age-related gait kinematics and kinetics in the elderly.

Authors:  Yuanhao Liang; Tinghan Xu; Shichen Qi; Xiang Cao; Eric Hiu Kwong Yeung; Yong Hu
Journal:  BMC Musculoskelet Disord       Date:  2022-06-29       Impact factor: 2.562

2.  Prediction of Lower Extremity Multi-Joint Angles during Overground Walking by Using a Single IMU with a Low Frequency Based on an LSTM Recurrent Neural Network.

Authors:  Joohwan Sung; Sungmin Han; Heesu Park; Hyun-Myung Cho; Soree Hwang; Jong Woong Park; Inchan Youn
Journal:  Sensors (Basel)       Date:  2021-12-22       Impact factor: 3.576

3.  Biomechanical Markers of Forward Hop-Landing After ACL-Reconstruction: A Pattern Recognition Approach.

Authors:  Prasanna Sritharan; Mario A Muñoz; Peter Pivonka; Adam L Bryant; Hossein Mokhtarzadeh; Luke G Perraton
Journal:  Ann Biomed Eng       Date:  2022-01-31       Impact factor: 3.934

4.  Analysis of Internal Knee Forces Allows for the Prediction of Rupture Events in a Clinically Relevant Model of Anterior Cruciate Ligament Injuries.

Authors:  Ryo Ueno; Alessandro Navacchia; Nathaniel A Bates; Nathan D Schilaty; Aaron J Krych; Timothy E Hewett
Journal:  Orthop J Sports Med       Date:  2020-01-13
  4 in total

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