Journal of the Neurological Sciences
Volume 290, Issue 1 , Pages 6-11, 15 March 2010

Accelerometry in persons with multiple sclerosis: Measurement of physical activity or walking mobility?

  • Madeline Weikert

      Affiliations

    • Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
  • ,
  • Robert W. Motl

      Affiliations

    • Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
    • Corresponding Author InformationCorresponding author. Department of Kinesiology and Community Health, University of Illinois, 350 Freer Hall, Urbana, IL 61801, United States. Tel.: +1 217 265 0886; fax: +1 217 244 0702.
  • ,
  • Yoojin Suh

      Affiliations

    • Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
  • ,
  • Edward McAuley

      Affiliations

    • Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
  • ,
  • Daniel Wynn

      Affiliations

    • Consultants in Neurology MS Center, Northbrook, IL, USA

Received 14 August 2009; received in revised form 5 November 2009; accepted 18 December 2009. published online 11 January 2010.

Abstract 

Objective

Motion sensors such as accelerometers have been recognized as an ideal measure of physical activity in persons with MS. This study examined the hypothesis that accelerometer movement counts represent a measure of both physical activity and walking mobility in individuals with MS.

Methods

The sample included 269 individuals with a definite diagnosis of relapsing–remitting MS who completed the Godin Leisure-Time Exercise Questionnaire (GLTEQ), International Physical Activity Questionnaire (IPAQ), Multiple Sclerosis Walking Scale-12 (MSWS-12), Patient Determined Disease Steps (PDDS), and then wore an ActiGraph accelerometer for 7days. The data were analyzed using bivariate correlation and confirmatory factor analysis.

Results

The results indicated that (a) the GLTEQ and IPAQ scores were strongly correlated and loaded significantly on a physical activity latent variable, (b) the MSWS-12 and PDDS scores strongly correlated and loaded significantly on a walking mobility latent variable, and (c) the accelerometer movement counts correlated similarly with the scores from the four self-report questionnaires and cross-loaded on both physical activity and walking mobility latent variables.

Conclusion

Our data suggest that accelerometers are measuring both physical activity and walking mobility in persons with MS, whereas self-report instruments are measuring either physical activity or walking mobility in this population.

Keywords: Motion sensors, Multiple sclerosis, Walking impairment, Exercise

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PII: S0022-510X(09)01024-7

doi:10.1016/j.jns.2009.12.021

Journal of the Neurological Sciences
Volume 290, Issue 1 , Pages 6-11, 15 March 2010