Literature DB >> 21629125

Walk ratio (step length/cadence) as a summary index of neuromotor control of gait: application to multiple sclerosis.

Viviana Rota1, Laura Perucca, Anna Simone, Luigi Tesio.   

Abstract

In healthy adults, the step length/cadence ratio [walk ratio (WR) in mm/(steps/min) and normalized for height] is known to be constant around 6.5 mm/(step/min). It is a speed-independent index of the overall neuromotor gait control, in as much as it reflects energy expenditure, balance, between-step variability, and attentional demand. The speed independence of the WR in patients with multiple sclerosis (MS), and its capacity to discriminate (a) across patients with MS and controls and (b) among disability levels in MS were tested. The WR was computed in 30 outpatients with MS [20 women, 10 men; Extended Disability Status Scale (potential range: 0-10, observed median 3.5, range 2.5-5.0)] walking at free speed (range: 0.43-1.67 ms), and in 30 healthy controls (20 women, 10 men) at free and slow speed (range: 0.55-1.67 ms). The WR was 6.38±0.66 in controls versus 5.36±0.86 in patients with MS (P<0.000), independent of age, sex, and walking speed. The WR was 5.95±0.69 and 4.90±0.70 in patients with an Extended Disability Status Scale score (P<0.001) below or above the median, respectively, independent of the disease duration (P<0.000). In patients with MS, the WR is a disability-sensitive index of neuromotor control of gait, and thus a promising outcome measure for treatments aimed at improving motor coordination.

Entities:  

Mesh:

Year:  2011        PMID: 21629125     DOI: 10.1097/MRR.0b013e328347be02

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  21 in total

1.  Role of visual input in the control of dynamic balance: variability and instability of gait in treadmill walking while blindfolded.

Authors:  Fabienne Reynard; Philippe Terrier
Journal:  Exp Brain Res       Date:  2014-12-23       Impact factor: 1.972

Review 2.  Spatiotemporal gait analysis of older persons in clinical practice and research : Which parameters are relevant?

Authors:  Ulrich Lindemann
Journal:  Z Gerontol Geriatr       Date:  2019-02-15       Impact factor: 1.281

3.  Classification of moderate-intensity overground walking speed in 21- to 85-year-old adults.

Authors:  Peixuan Zheng; Scott W Ducharme; Christopher C Moore; Catrine Tudor-Locke; Elroy J Aguiar
Journal:  J Sports Sci       Date:  2022-07-24       Impact factor: 3.943

Review 4.  Critical spatiotemporal gait parameters for individuals with dementia: A systematic review and meta-analysis.

Authors:  Rita Chiaramonte; Matteo Cioni
Journal:  Hong Kong Physiother J       Date:  2020-10-08

5.  Mobility of Older Adults: Gait Quality Measures Are Associated With Life-Space Assessment Scores.

Authors:  Anisha Suri; Andrea L Rosso; Jessie VanSwearingen; Leslie M Coffman; Mark S Redfern; Jennifer S Brach; Ervin Sejdić
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-09-13       Impact factor: 6.591

6.  Gait analysis on force treadmill in children: comparison with results from ground-based force platforms.

Authors:  Luigi Tesio; Chiara Malloggi; Nicola M Portinaro; Luigi Catino; Nicola Lovecchio; Viviana Rota
Journal:  Int J Rehabil Res       Date:  2017-12       Impact factor: 1.479

7.  Estimated lower speed boundary at which the walk ratio constancy is broken in healthy adults.

Authors:  Rumi Murakami; Yohei Otaka
Journal:  J Phys Ther Sci       Date:  2017-04-20

8.  Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development.

Authors:  Christopher A Lane; Thomas D Parker; Dave M Cash; Kirsty Macpherson; Elizabeth Donnachie; Heidi Murray-Smith; Anna Barnes; Suzie Barker; Daniel G Beasley; Jose Bras; David Brown; Ninon Burgos; Michelle Byford; M Jorge Cardoso; Ana Carvalho; Jessica Collins; Enrico De Vita; John C Dickson; Norah Epie; Miklos Espak; Susie M D Henley; Chandrashekar Hoskote; Michael Hutel; Jana Klimova; Ian B Malone; Pawel Markiewicz; Andrew Melbourne; Marc Modat; Anette Schrag; Sachit Shah; Nikhil Sharma; Carole H Sudre; David L Thomas; Andrew Wong; Hui Zhang; John Hardy; Henrik Zetterberg; Sebastien Ourselin; Sebastian J Crutch; Diana Kuh; Marcus Richards; Nick C Fox; Jonathan M Schott
Journal:  BMC Neurol       Date:  2017-04-18       Impact factor: 2.474

9.  Single Sensor Gait Analysis to Detect Diabetic Peripheral Neuropathy: A Proof of Principle Study.

Authors:  Patrick Esser; Johnny Collett; Kevin Maynard; Dax Steins; Angela Hillier; Jodie Buckingham; Garry D Tan; Laurie King; Helen Dawes
Journal:  Diabetes Metab J       Date:  2018-02       Impact factor: 5.376

10.  Efficacy and safety of venous angioplasty of the extracranial veins for multiple sclerosis. Brave dreams study (brain venous drainage exploited against multiple sclerosis): study protocol for a randomized controlled trial.

Authors:  Paolo Zamboni; Antonio Bertolotto; Paolo Boldrini; Patrizia Cenni; Roberto D'Alessandro; Roberto D'Amico; Massimo Del Sette; Roberto Galeotti; Stefania Galimberti; Alessandro Liberati; Luca Massacesi; Donato Papini; Fabrizio Salvi; Silvana Simi; Andrea Stella; Luigi Tesio; Maria Grazia Valsecchi; Graziella Filippini
Journal:  Trials       Date:  2012-10-03       Impact factor: 2.279

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.