oru.sePublikationer
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Walking Distance as a Predictor of Falls in People With Multiple Sclerosis
Örebro University, School of Health and Medical Sciences, Örebro University, Sweden.ORCID iD: 0000-0002-9760-3785
Örebro University, School of Health and Medical Sciences, Örebro University, Sweden.
Department of Neurology, Örebro University Hospital, Örebro, Sweden.
Örebro University, School of Medicine, Örebro University, Sweden. Department of Neurology, Örebro University Hospital, Örebro, Sweden.
2016 (English)In: Physiotherapy Research International, ISSN 1358-2267, E-ISSN 1471-2865, Vol. 21, no 2, 102-108 p.Article in journal (Refereed) Published
Abstract [en]

Background and purpose: People with multiple sclerosis (PwMS) experience falls, usually when walking and transferring. The aim was to investigate if walking distance and patient overestimate of walking distance are predictors of falls in PwMS.

Methods: A prospective study was conducted, with a single test occasion followed by prospective registration of falls for 3 months. All PwMS in Region Örebro County with a previously registered Expanded Disability Status Scale score between 3.0 and 7.0 in the Swedish MS Registry were invited to participate (n = 149). Altogether, data from 49 PwMS being relapse free for at least 3 months and with a confirmed Expanded Disability Status Scale between 1.5 and 7.0 upon study entry were analysed.

Results: Twenty-two PwMS (45%) fell during the study period, providing information of 66 falls. Walking distance or overestimate of one's walking distance, as compared with test results, did not predict falls in this MS sample.

Discussion: Walking and standing activities are associated with numerous falls in PwMS. Our data do not clearly support routine measurements of walking distance in assessing individual fall risk.

Place, publisher, year, edition, pages
Hoboken, USA: John Wiley & Sons, 2016. Vol. 21, no 2, 102-108 p.
Keyword [en]
Falls, multiple sclerosis, prediction, walking
National Category
Physiotherapy
Identifiers
URN: urn:nbn:se:oru:diva-46857DOI: 10.1002/pri.1625ISI: 000382487900006PubMedID: 25782023Scopus ID: 2-s2.0-84971631315OAI: oai:DiVA.org:oru-46857DiVA: diva2:874673
Available from: 2015-11-27 Created: 2015-11-27 Last updated: 2017-10-18Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMedScopus

Search in DiVA

By author/editor
Nilsagård, YlvaWesterdahl, ElisabethGunnarsson, Martin
By organisation
School of Health and Medical Sciences, Örebro University, SwedenSchool of Medicine, Örebro University, Sweden
In the same journal
Physiotherapy Research International
Physiotherapy

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 280 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf