What Can Quantitative Gait Analysis Tell Us about Dementia and Its Subtypes? A Structured Review

Ríona Mc Ardle, Rosie Morris, Joanna Wilson, Brook Galna, Alan J Thomas, Lynn Rochester

Research output: Contribution to journalReview articlepeer-review

51 Citations (Scopus)
53 Downloads (Pure)

Abstract

Distinguishing dementia subtypes can be difficult due to similarities in clinical presentation. There is increasing interest in discrete gait characteristics as markers to aid diagnostic algorithms in dementia. This structured review explores the differences in quantitative gait characteristics between dementia and healthy controls, and between four dementia subtypes under single-task conditions: Alzheimer's disease (AD), dementia with Lewy bodies and Parkinson's disease dementia, and vascular dementia. Twenty-six papers out of an initial 5,211 were reviewed and interpreted using a validated model of gait. Dementia was associated with gait characteristics grouped by slower pace, impaired rhythm, and increased variability compared to normal aging. Only four studies compared two or more dementia subtypes. People with AD are less impaired in pace, rhythm, and variability domains of gait compared to non-AD dementias. Results demonstrate the potential of gait as a clinical marker to discriminate between dementia subtypes. Larger studies using a more comprehensive battery of gait characteristics and better characterized dementia sub-types are required.

Original languageEnglish
Pages (from-to)1295-1312
Number of pages18
JournalJournal of Alzheimer's Disease
Volume60
Issue number4
DOIs
Publication statusPublished - 7 Nov 2017
Externally publishedYes

Keywords

  • Algorithms
  • Biomechanical Phenomena
  • Dementia/diagnosis
  • Diagnosis, Computer-Assisted
  • Gait
  • Humans

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