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Components of gait in people with and without mild cognitive impairment

Lindh-Rengifo, Magnus LU orcid ; Jonasson, Stina B. LU orcid ; Ullen, Susann ; Stomrud, Erik LU orcid ; Palmqvist, Sebastian LU orcid ; Mattsson-Carlgren, Niklas LU orcid ; Hansson, Oskar LU orcid and Nilsson, Maria H LU orcid (2022) In Gait & Posture 93. p.83-89
Abstract
Background: Several objective gait parameters are associated with cognitive impairment, but there is limited
knowledge of gait models in people with mild cognitive impairment (MCI).
Research question: How can 18 objective gait characteristics be used to define different components of gait in
people with MCI (with suspected incipient neurocognitive disorder) and cognitively unimpaired people (CU),
respectively?
Methods: Spatiotemporal gait data were collected by using an electronic walkway (GAITRite®), i.e. assessments
in comfortable gait speed. Using cross-sectional gait data, two principal component analyses (PCA) were performed
(varimax rotation) to define different components of gait in people with MCI (n =... (More)
Background: Several objective gait parameters are associated with cognitive impairment, but there is limited
knowledge of gait models in people with mild cognitive impairment (MCI).
Research question: How can 18 objective gait characteristics be used to define different components of gait in
people with MCI (with suspected incipient neurocognitive disorder) and cognitively unimpaired people (CU),
respectively?
Methods: Spatiotemporal gait data were collected by using an electronic walkway (GAITRite®), i.e. assessments
in comfortable gait speed. Using cross-sectional gait data, two principal component analyses (PCA) were performed
(varimax rotation) to define different components of gait in people with MCI (n = 114) and CU (n = 219),
respectively, from the BioFINDER-2 study.
Results: Both PCAs produced four components, here called Variability, Pace/Stability, Rhythm and Asymmetry.
Total variance explained was 81.0% (MCI) versus 80.3% (CU). The Variability component explained the largest
amount of variance (about 25%) in both groups. The highest loading gait parameter was the same for both
groups in three out of four components, i.e. step velocity variability (Variability), mean step length (Pace/Stability)
and mean step time (Rhythm). In the asymmetry component, stance time asymmetry (MCI) and swing
time asymmetry (CU) loaded the highest.
Significance: The gait components seem similar in people with and without MCI, although there were some
differences. This study may aid the identification of gait variables that represent different components of gait.
Gait parameters such as step velocity variability, mean step length, mean step time as well as swing and stance
time asymmetry could serve as interesting core variables of different gait components in future research in people
with MCI (with suspected incipient neurocognitive disorder) and CU. However, the selection of gait variables
depends on the purpose. It needs to be noted that assessment of variability measures requires more advanced
technology than is usually used in the clinic. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Gait & Posture
volume
93
pages
83 - 89
publisher
Elsevier
external identifiers
  • pmid:35101749
  • scopus:85124314949
ISSN
0966-6362
DOI
10.1016/j.gaitpost.2022.01.012
project
Motor-ACT: Motor aspects and activities in relation to cognitive decline
language
English
LU publication?
yes
id
7f6c7e66-0121-4f32-8c13-f346b4d26260
date added to LUP
2022-11-23 13:23:22
date last changed
2023-12-05 12:30:14
@article{7f6c7e66-0121-4f32-8c13-f346b4d26260,
  abstract     = {{Background: Several objective gait parameters are associated with cognitive impairment, but there is limited<br/>knowledge of gait models in people with mild cognitive impairment (MCI).<br/>Research question: How can 18 objective gait characteristics be used to define different components of gait in<br/>people with MCI (with suspected incipient neurocognitive disorder) and cognitively unimpaired people (CU),<br/>respectively?<br/>Methods: Spatiotemporal gait data were collected by using an electronic walkway (GAITRite®), i.e. assessments<br/>in comfortable gait speed. Using cross-sectional gait data, two principal component analyses (PCA) were performed<br/>(varimax rotation) to define different components of gait in people with MCI (n = 114) and CU (n = 219),<br/>respectively, from the BioFINDER-2 study.<br/>Results: Both PCAs produced four components, here called Variability, Pace/Stability, Rhythm and Asymmetry.<br/>Total variance explained was 81.0% (MCI) versus 80.3% (CU). The Variability component explained the largest<br/>amount of variance (about 25%) in both groups. The highest loading gait parameter was the same for both<br/>groups in three out of four components, i.e. step velocity variability (Variability), mean step length (Pace/Stability)<br/>and mean step time (Rhythm). In the asymmetry component, stance time asymmetry (MCI) and swing<br/>time asymmetry (CU) loaded the highest.<br/>Significance: The gait components seem similar in people with and without MCI, although there were some<br/>differences. This study may aid the identification of gait variables that represent different components of gait.<br/>Gait parameters such as step velocity variability, mean step length, mean step time as well as swing and stance<br/>time asymmetry could serve as interesting core variables of different gait components in future research in people<br/>with MCI (with suspected incipient neurocognitive disorder) and CU. However, the selection of gait variables<br/>depends on the purpose. It needs to be noted that assessment of variability measures requires more advanced<br/>technology than is usually used in the clinic.}},
  author       = {{Lindh-Rengifo, Magnus and Jonasson, Stina B. and Ullen, Susann and Stomrud, Erik and Palmqvist, Sebastian and Mattsson-Carlgren, Niklas and Hansson, Oskar and Nilsson, Maria H}},
  issn         = {{0966-6362}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{83--89}},
  publisher    = {{Elsevier}},
  series       = {{Gait & Posture}},
  title        = {{Components of gait in people with and without mild cognitive impairment}},
  url          = {{http://dx.doi.org/10.1016/j.gaitpost.2022.01.012}},
  doi          = {{10.1016/j.gaitpost.2022.01.012}},
  volume       = {{93}},
  year         = {{2022}},
}