Literature DB >> 28802220

Comparison of lower limb muscle strength between diabetic neuropathic and healthy subjects using OpenSim.

Alessandra Scarton1, Ilse Jonkers2, Annamaria Guiotto3, Fabiola Spolaor4, Gabriella Guarneri5, Angelo Avogaro6, Claudio Cobelli7, Zimi Sawacha8.   

Abstract

Diabetes neuropathy and vasculopathy are the two major complications of diabetes mellitus, leading to diabetic foot disease, of which the worst consequences are plantar ulcers and amputations. Motor impairments like joint stiffness and loss of balance are distinctive effects of diabetes and they have been extensively explored. However, while altered muscle function has been also assessed through experimentally measured surface electromyography, little is known about muscle forces. The objective of this study was to estimate muscle forces in subjects with diabetes and to use these data to identify differences with respect to a population of healthy subjects matched for age and BMI. This was obtained by generating musculoskeletal models of 10 diabetic and 10 control subjects in OpenSim starting from experimentally recorded data. Dynamic simulations of motion were run and hence muscle forces calculated. Student T test (p<0.05) was used to compare joints kinematics, kinetics and muscle forces between the two populations. Significant changes were observed between lower limb muscle forces and activation of diabetic and healthy subjects, as well as between joints kinematics and kinetics. In particular muscles related to foot movements proved to be stronger in the healthy population. The typical ankle rigidity of the diabetic population was confirmed by a lower range of motion registered at the ankle plantar/flexion angle associated with weaker dorsal-plantar flexor muscles. The information provided by this methodology can help planning specific training programs aiming at augmenting muscle strength and joints mobility, and they can also improve the evaluation of the potential benefits.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diabetes; Muscle force; Musculoskeletal modelling; Neuropathy

Mesh:

Year:  2017        PMID: 28802220     DOI: 10.1016/j.gaitpost.2017.07.117

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  5 in total

1.  Determination of the correlation between muscle forces obtained from OpenSim and muscle activities obtained from electromyography in the elderly.

Authors:  Mohammad T Karimi; Fatemeh Hemmati; Mohammad A Mardani; Keyvan Sharifmoradi; Seyed Iman Hosseini; Reza Fadayevatan; Amir Esrafilian
Journal:  Phys Eng Sci Med       Date:  2021-02-08

2.  Quantitative assessment of training effects using EksoGT® exoskeleton in Parkinson's disease patients: A randomized single blind clinical trial.

Authors:  M Romanato; F Spolaor; C Beretta; F Fichera; A Bertoldo; D Volpe; Z Sawacha
Journal:  Contemp Clin Trials Commun       Date:  2022-05-25

3.  Diabetic Peripheral Neuropathy as a Risk Factor for Sarcopenia.

Authors:  Tae Jung Oh; Yoojung Song; Jae Hoon Moon; Sung Hee Choi; Hak Chul Jang
Journal:  Ann Geriatr Med Res       Date:  2019-12-30

4.  The Kinematic and Kinetic Responses of the Trunk and Lower Extremity Joints during Walking with and without the Spinal Orthosis.

Authors:  Chenyan Wang; Xiaona Li; Yuan Guo; Weijin Du; Hongmei Guo; Weiyi Chen
Journal:  Int J Environ Res Public Health       Date:  2022-06-06       Impact factor: 4.614

5.  The impact of diabetic neuropathy on the distal versus proximal comparison of weakness in lower and upper limb muscles of patients with type 2 diabetes mellitus: a cross-sectional study.

Authors:  Birgit L M Van Eetvelde; Bruno Lapauw; Pascal Proot; Karsten Vanden Wyngaert; Simon Helleputte; Jan Stautemas; Dirk C Cambier; Patrick Calders
Journal:  J Musculoskelet Neuronal Interact       Date:  2021-12-01       Impact factor: 2.041

  5 in total

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