Relationships between disease severity and walking kinematics in relapsing-remitting multiple sclerosis

  • Sumire D. Sato
  • , Sutton B. Richmond
  • , Clayton W. Swanson
  • , Kristin A. Johnson
  • , Brett W. Fling
  • , Rachael D. Seidler

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Declines in walking function commonly occur in people with multiple sclerosis (MS). Walking is a continuous movement and a complex motor task that requires precise timing and scaling of activation across many muscles. Research question: Identifying kinematic gait characteristics during a 2-min walk test that are associated with disease severity in individuals with relapsing-remitting MS. Methods: Participants (n = 45) were instrumented with inertial measurement units from APDM (APDM Inc, Portland, OR, USA) and performed the 2-min walk test twice: once at their self-selected speed and another at their fastest, safe speed. Results: Gait speed was not associated with MS disease duration (Self-selected: p = 0.180; Fast: p = 0.167). Canonical correlation analysis showed that disease severity characteristics was strongly associated with lateral step width variability and ankle pitch at toe-off, which was also reflected in the multiple linear regression models. Both self-selected and fast-speed kinematics were associated with disease duration (Self-selected: p = 0.007; Fast: p = 0.004). Significance: Our study highlights the importance of considering individual differences in specific gait kinematics (such as lateral step width variability and ankle pitch at toe-off) when assessing disease severity in MS. This approach may provide more personalized insights into the impact of MS on mobility and help tailor interventions to improve gait and overall function in affected individuals. Future research should continue exploring these kinematic parameters to better understand their role in MS severity and progression and develop targeted therapeutic strategies.

Original languageEnglish
Article number110011
JournalGait and Posture
Volume123
DOIs
StatePublished - Jan 2026

Keywords

  • Inertial sensors
  • Kinematics
  • Multiple sclerosis
  • Multivariate
  • Neurorehabilitation

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