The effect of walking speed on quality of gait in older adults

B. Huijben, K. S. van Schooten, J. H. van Dieën, M. Pijnappels*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

1026 Downloads (Pure)


Background: Gait quality characteristics can contribute to the identification of individuals at risk of falls. Since older adults with high fall risk tend to walk slower than older adults with a lower fall risk, walking speed may underlie differences in gait quality characteristics. Research question: How does walking speed affect gait quality characteristics in older people? Methods: We investigated the effect of walking speed on gait characteristics in 11 older adults (aged 69.6 ± 4.1 years). Trunk accelerations (Dynaport MoveMonitor) were recorded during 5 min of treadmill walking at four different speeds. From these trunk accelerations we calculated step frequency, root mean square, harmonic ratio, index of harmonicity, sample entropy and logarithmic divergence rate per stride. Results: Our results showed that all gait characteristics were affected by walking speed, except for sample entropy in antero-posterior (AP) direction. An increase in walking speed resulted in a higher step frequency, higher standard deviation, more symmetric gait, more smooth vertical (VT) accelerations, less smooth accelerations in medio-lateral (ML) and AP directions, less regular dynamics in ML direction, more regular dynamics in VT direction, and a more stable gait pattern overall. Significance: These findings suggest that, within a range of 0.5–1.4 m/s, a lower walking speed results in a lower gait quality, which may underlie differences in gait quality between older fallers and non-fallers.

Original languageEnglish
Pages (from-to)112-116
Number of pages5
JournalGait and Posture
Early online date10 Jul 2018
Publication statusPublished - Sept 2018


  • Accelerometry
  • Balance
  • Elderly
  • Gait
  • Walking speed


Dive into the research topics of 'The effect of walking speed on quality of gait in older adults'. Together they form a unique fingerprint.

Cite this