The clinical significance of 10-m walk test standardizations in Parkinson’s disease

Research output: Contribution to journalArticle

Abstract

Background: The 10-m walk test (10MWT) is a widely used measure of gait speed in Parkinson’s disease (PD). However, it is unclear if different standardizations of its conduct impact test results. Aim of the study: We examined the clinical significance of two aspects of the standardization of the 10MWT in mild PD: static vs. dynamic start, and a single vs. repeated trials. Implications for fall prediction were also explored. Methods: 151 people with PD (mean age and PD duration, 68 and 4 years, respectively) completed the 10MWT in comfortable gait speed with static and dynamic start (two trials each), and gait speed (m/s) was recorded. Participants then registered all prospective falls for 6 months. Results: Absolute mean differences between outcomes from the various test conditions ranged between 0.016 and 0.040 m/s (effect sizes, 0.06–0.14) with high levels of agreement (intra-class correlation coefficients, 0.932–0.987) and small standard errors of measurement (0.032–0.076 m/s). Receiver operating characteristic curves showed similar discriminate abilities for prediction of future falls across conditions (areas under curves, 0.70–0.73). Cut-off points were estimated at 1.1–1.2 m/s. Conclusions: Different 10MWT standardizations yield very similar results, suggesting that there is no practical need for an acceleration distance or repeated trials when conducting this test in mild PD.

Details

Authors
Organisations
External organisations
  • Skåne University Hospital
  • Kristianstad University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Neurology

Keywords

  • Falls, Parkinson disease, Prediction, Test standardization, The 10-m walk test
Original languageEnglish
Pages (from-to)1829-1835
JournalJournal of Neurology
Volume265
Issue number8
Early online date2018 Jun 6
Publication statusPublished - 2018
Publication categoryResearch
Peer-reviewedYes