Literature DB >> 30482317

Balance, gait, and falls in multiple sclerosis.

Michelle H Cameron1, Ylva Nilsagard2.   

Abstract

Multiple sclerosis (MS) is a chronic disease of the central nervous system (CNS) and the most widespread nontraumatic cause of disability in young adults around the world. MS occurs in people of all ages, races, and ethnicities. MS is characterized by clinical symptoms resulting from lesions in the brain, spinal cord, or optic nerves that can affect balance, gait, and fall risk. Lesions accumulate over time and occur in different areas of the CNS causing symptoms that include weakness, spasticity, and fatigue, as well as changes in sensation, coordination, vision, cognition, and bladder function. Thus, it is not surprising that imbalance, gait dysfunction, and falls are common in people with MS. The overwhelming majority have abnormalities of postural control and gait even early in the disease course. In all, 50-80% have balance and gait dysfunction and over 50% fall at least once each year. Balance dysfunction in MS is conceptualized as three interrelated problems: decreased ability to maintain position, limited and slowed movement towards limits of stability, and delayed responses to postural displacements and perturbations. In addition, functional balance performance may be affected by impaired dual-task integration. Walking changes in MS include reduced gait speed, impaired walking balance, and reduced walking-related physical activity. Falls in people with MS are associated with injuries, reduced participation, and increased fear of falling. A wide and growing range of rehabilitation and medical interventions are available to address the changes in balance, gait, and fall risk associated with MS.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  accidental falls; multiple sclerosis; postural balance; rehabilitation; walking

Mesh:

Year:  2018        PMID: 30482317     DOI: 10.1016/B978-0-444-63916-5.00015-X

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  19 in total

Review 1.  Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.

Authors:  Mikaela L Frechette; Brett M Meyer; Lindsey J Tulipani; Reed D Gurchiek; Ryan S McGinnis; Jacob J Sosnoff
Journal:  Curr Neurol Neurosci Rep       Date:  2019-09-04       Impact factor: 5.081

2.  Relationship Between Lower Limb Function and Fall Prevalence in Ambulatory Adults With Spinal Cord Injury: A Systematic Review.

Authors:  Mikaela L Frechette; Libak Abou; Laura A Rice; Jacob J Sosnoff
Journal:  Top Spinal Cord Inj Rehabil       Date:  2022-04-12

3.  Efficacy of Transcranial Direct Current Stimulation (tDCS) on Balance and Gait in Multiple Sclerosis Patients: A Machine Learning Approach.

Authors:  Nicola Marotta; Alessandro de Sire; Cinzia Marinaro; Lucrezia Moggio; Maria Teresa Inzitari; Ilaria Russo; Anna Tasselli; Teresa Paolucci; Paola Valentino; Antonio Ammendolia
Journal:  J Clin Med       Date:  2022-06-17       Impact factor: 4.964

4.  Acute effects of axial loading on postural control during walking and turning in people with multiple sclerosis: A pilot study.

Authors:  Casey Little; Connor Moore; Emily Bean; Denise M Peters; Ryan S McGinnis; Susan L Kasser
Journal:  Gait Posture       Date:  2022-03-03       Impact factor: 2.746

5.  Identifying falls remotely in people with multiple sclerosis.

Authors:  Valerie J Block; Erica A Pitsch; Arpita Gopal; Chao Zhao; Mark J Pletcher; Gregory M Marcus; Jeffrey E Olgin; Jill Hollenbach; Riley Bove; Bruce A C Cree; Jeffrey M Gelfand
Journal:  J Neurol       Date:  2021-08-17       Impact factor: 4.849

6.  Visual Feedback and Postural Control in Multiple Sclerosis.

Authors:  Hernan Inojosa; Dirk Schriefer; Katrin Trentzsch; Antonia Klöditz; Tjalf Ziemssen
Journal:  J Clin Med       Date:  2020-04-30       Impact factor: 4.241

7.  Higher Disease and Pain Severity and Fatigue and Lower Balance Skills Are Associated with Higher Prevalence of Falling among Individuals with the Inflammatory Disease of Neuromyelitis Optica Spectrum Disorder (NMOSD).

Authors:  Mahdi Barzegar; Dena Sadeghi Bahmani; Omid Mirmosayyeb; Reyhaneh Azarbayejani; Alireza Afshari-Safavi; Saeed Vaheb; Nasim Nehzat; Afshin Dana; Vahid Shaygannejad; Robert W Motl; Serge Brand
Journal:  J Clin Med       Date:  2020-11-09       Impact factor: 4.241

8.  Usability of a Fall Risk mHealth App for People With Multiple Sclerosis: Mixed Methods Study.

Authors:  Katherine Hsieh; Jason Fanning; Mikaela Frechette; Jacob Sosnoff
Journal:  JMIR Hum Factors       Date:  2021-03-22

9.  The effect of prioritization over cognitive-motor interference in people with relapsing-remitting multiple sclerosis and healthy controls.

Authors:  Barbara Postigo-Alonso; Alejandro Galvao-Carmona; Cristina Conde-Gavilán; Ana Jover; Silvia Molina; María A Peña-Toledo; Roberto Valverde-Moyano; Eduardo Agüera
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

10.  Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple sclerosis in a clinical setting.

Authors:  Lorenza Angelini; William Hodgkinson; Craig Smith; Jessie Moorman Dodd; Basil Sharrack; Claudia Mazzà; David Paling
Journal:  J Neurol       Date:  2020-05-28       Impact factor: 4.849

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