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Does a waist-worn ActiGraph accelerometer quantify community ambulation in persons with multiple sclerosis?

Jacob J Sosnoff¹, Michael J Socie, Morgan K Boes

¹University of Illinois at Urbana-Champaign, Department of Kinesiology and Community Health, 906 South Goodwin Ave, Urbana, IL 61801, USA. jsosnoff@illinois.edu

Journal of Rehabilitation Research and Development

|February 15, 2013

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Accelerometry accurately measures community walking in multiple sclerosis (MS) patients. This study confirms that walking significantly contributes to accelerometer data, validating its use for assessing ambulation in MS.

Area of Science:

Neurology
Biomedical Engineering
Rehabilitation Science

Background:

Accelerometry is recognized for objectively measuring community ambulation in multiple sclerosis (MS).
The direct contribution of walking to accelerometer signals in MS patients remains unverified.
Objective quantification of ambulation is crucial for managing MS progression and treatment efficacy.

Purpose of the Study:

To investigate whether community-based walking is a primary contributor to accelerometer output in individuals with MS.
To validate the use of accelerometry as a reliable tool for assessing ambulation in MS.

Main Methods:

Ambulatory individuals with MS (n=22) wore a triaxial accelerometer and an IDEEA system for one day.
Accelerometer outcomes included movement counts per hour on three axes.

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IDEEA system outcomes included percent time walking, sitting, standing, and walking speed.

Main Results:

Significant correlations were found between percent walking time and accelerometer movement counts on vertical (r=0.84) and anterior-posterior (r=0.69) axes.
Accelerometer data correlated with walking speed (r=0.45), self-reported walking impairment (r=-0.50), and disability (r=-0.46).

Conclusions:

The findings support accelerometry as an objective and valid marker for community ambulation in persons with MS.
Accelerometer data reflects actual walking behavior and functional status in MS.
This technology can aid in monitoring disease progression and treatment effectiveness in MS.