Literature DB >> 23240822

Accelerometry as a measure of walking behavior in multiple sclerosis.

R W Motl1, L Pilutti, B M Sandroff, D Dlugonski, J J Sosnoff, J H Pula.   

Abstract

OBJECTIVE: Accelerometry has been identified as a possible ecologically valid and objective approach for measuring community ambulation in multiple sclerosis (MS). This study provides a validation of accelerometer output based on associations with Expanded Disability Status Scale (EDSS), Patient Determined Disease Steps (PDDS) Scale, and Multiple Sclerosis Walking Scale-12 (MSWS-12) scores, timed 25-foot walk (T25FW) and 6-min walk (6MW) performance, oxygen cost (O(2) cost) of walking, and spatial and temporal parameters of gait.
MATERIALS AND METHODS: 256 persons with MS completed the PDDS and MSWS-12, underwent an examination for the generation of an EDSS score, undertook two T25FW tests and a 6MW while wearing a portable metabolic unit for measuring the O(2) cost of walking, completed two trials of comfortable walking on a GAITRite electronic walkway for measuring spatial and temporal parameters of gait, and then wore an Actigraph accelerometer during the waking hours of a 7-day period.
RESULTS: The accelerometer output was significantly correlated with EDSS (ρ = -0.522), PDDS (ρ = -0.551), and MSWS-12 (ρ = -0.617) scores, T25FW (ρ = -0.595) and 6MW (ρ = 0.630) performance, and O(2) cost of walking (ρ = -0.457). Regarding gait parameters, the accelerometer output was significantly correlated with velocity (ρ = 0.420), cadence (ρ = 0.349), step time (ρ = -0.353), step length (ρ = 0.395), double support (ρ = -0.424), and single support (ρ = 0.400).
CONCLUSION: We provide comprehensive evidence from a large sample of persons with MS that further supports accelerometry as a measure of walking behavior.
© 2012 John Wiley & Sons A/S.

Entities:  

Mesh:

Year:  2012        PMID: 23240822     DOI: 10.1111/ane.12036

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  27 in total

1.  Walking function in clinical monitoring of multiple sclerosis by telemedicine.

Authors:  Núria Sola-Valls; Yolanda Blanco; Maria Sepúlveda; Sara Llufriu; Elena H Martínez-Lapiscina; Delon La Puma; Francesc Graus; Pablo Villoslada; Albert Saiz
Journal:  J Neurol       Date:  2015-05-10       Impact factor: 4.849

2.  Continuous daily assessment of multiple sclerosis disability using remote step count monitoring.

Authors:  V J Block; A Lizée; E Crabtree-Hartman; C J Bevan; J S Graves; R Bove; A J Green; B Nourbakhsh; M Tremblay; P-A Gourraud; M Y Ng; M J Pletcher; J E Olgin; G M Marcus; D D Allen; B A C Cree; J M Gelfand
Journal:  J Neurol       Date:  2016-11-28       Impact factor: 4.849

3.  Telemedicine for Monitoring MS Activity and Progression.

Authors:  Nuria Sola-Valls; Yolanda Blanco; Maria Sepúlveda; Eugenia Martinez-Hernandez; Albert Saiz
Journal:  Curr Treat Options Neurol       Date:  2015-11       Impact factor: 3.598

Review 4.  Comfortable walking speed and energy cost of locomotion in patients with multiple sclerosis.

Authors:  Alex Buoite Stella; Maria Elisa Morelli; Fabiola Giudici; Arianna Sartori; Paolo Manganotti; Pietro Enrico di Prampero
Journal:  Eur J Appl Physiol       Date:  2020-01-09       Impact factor: 3.078

5.  Randomized controlled trial of physical activity, cognition, and walking in multiple sclerosis.

Authors:  Brian M Sandroff; Rachel E Klaren; Lara A Pilutti; Deirdre Dlugonski; Ralph H B Benedict; Robert W Motl
Journal:  J Neurol       Date:  2013-12-10       Impact factor: 4.849

6.  Real-world walking in multiple sclerosis: Separating capacity from behavior.

Authors:  Matthew M Engelhard; Stephen D Patek; John C Lach; Myla D Goldman
Journal:  Gait Posture       Date:  2017-10-16       Impact factor: 2.840

Review 7.  Wearable biosensors to monitor disability in multiple sclerosis.

Authors:  Michael J Bradshaw; Samantha Farrow; Robert W Motl; Tanuja Chitnis
Journal:  Neurol Clin Pract       Date:  2017-08

8.  Clinically Assessed Walking Capacity Versus Real-World Walking Performance in People with Multiple Sclerosis.

Authors:  Kedar K V Mate; Nancy E Mayo
Journal:  Int J MS Care       Date:  2020-06-15

9.  Does gait bout definition influence the ability to discriminate gait quality between people with and without multiple sclerosis during daily life?

Authors:  Vrutangkumar V Shah; James McNames; Graham Harker; Carolin Curtze; Patricia Carlson-Kuhta; Rebecca I Spain; Mahmoud El-Gohary; Martina Mancini; Fay B Horak
Journal:  Gait Posture       Date:  2020-11-25       Impact factor: 2.840

10.  Cognitive Processing Speed Impairment Does Not Influence the Construct Validity of Six-Spot Step Test Performance in People With Multiple Sclerosis.

Authors:  Brian M Sandroff; Stephanie L Silveira; Jessica F Baird; Trinh Huynh; Robert W Motl
Journal:  Phys Ther       Date:  2021-02-04
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