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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11005

Title: Predicting habitual walking performance in multiple sclerosis: relevance of capacity and self-report measures
Authors: GIJBELS, Domien
FEYS, Peter
Alders, Geert
Charlier, C.
Roelants, M.
Issue Date: 2010
Citation: MULTIPLE SCLEROSIS, 16(5). p. 618-626
Abstract: The objective was to establish the extent to which physical functioning capacity and self-report measures are able to predict the habitual walking performance in ambulatory persons with multiple sclerosis. Fifty persons with multiple sclerosis (Expanded Disability Status Scale, EDSS, 1.5-6.5) were tested on leg muscle strength as well as walking and balance capacity, and completed self-report indices on perceived physical functioning. Habitual walking performance, that is, the real amount of steps that is performed in the customary living environment, was registered by means of an ambulant accelerometer-based monitor during seven consecutive days. Mild (EDSS 1.5-4.0, n=29) and moderate (EDSS 4.5-6.5, n=21) multiple sclerosis subgroups were additionally distinguished as predictor variables and values were hypothesized to differ depending on multiple sclerosis severity and concomitant ambulatory function. Multiple regression analyses yielded a single most significant predictor for each (sub) group with other variables making no independent contribution to the variation in habitual walking performance. For the total study sample, this was the 6-Minute Walking Test (R-2=0.458, p<0.01). In the mild multiple sclerosis subgroup, the 6-Minute Walking Test was again most predictive, yet to a modest degree (R-2=0.187, p=0.02). In the moderate multiple sclerosis subgroup, the 2-Minute Walking Test explained over half of the variance (R-2=0.532, p<0.01). Habitual walking performance is best reflected by longer walking capacity tests. The extent to which it can be predicted based on clinical testing is larger in a multiple sclerosis patient sample with more severe walking disability. Ambulatory monitoring, however, includes aspects of community ambulation not captured in the clinic, and must be considered as an additional outcome for evaluating interventions in multiple sclerosis.
Notes: [Gijbels, Domien; Broekmans, Tom; 't Eijnde, Bert Op; Feys, Peter] Hasselt Univ, BIOMED Biomed Res Inst, B-3590 Diepenbeek, Belgium. [Van Hoof, Elke] Hasselt Univ, SEIN Inst Social & Psychol Sci, B-3590 Diepenbeek, Belgium. [Gijbels, Domien; Alders, Geert; Charlier, Caroline; Roelants, Machteld; Broekmans, Tom; 't Eijnde, Bert Op; Feys, Peter] PHL Univ Coll, REVAL Rehabil & Hlth Care Res Ctr, Hasselt, Belgium. domien.gijbels@uhasselt.be
URI: http://hdl.handle.net/1942/11005
DOI: 10.1177/1352458510361357
ISI #: 000277837200016
ISSN: 1352-4585
Category: A1
Type: Journal Contribution
Validation: ecoom, 2011
Appears in Collections: Research publications

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