Literature DB >> 23459976

Gait variability at fast-pace walking speed: a biomarker of mild cognitive impairment?

O Beauchet1, G Allali, C Launay, F R Herrmann, C Annweiler.   

Abstract

BACKGROUND: The interpretation of the increase in stride-to-stride variability of stride time (STV) regarding the evolution of cognitive deficits across the dementia spectrum is matter of debate.
OBJECTIVE: The aim of this study was to compare STV at usual and fast-pace walking speeds of MCI patients with that of cognitively healthy individuals (CHI) and Alzheimer's disease (AD) patients with mild dementia, while considering the effects of potential confounders.
METHODS: STV while walking at usual and fast-pace walking speeds was recorded with the GAITRite® system from 116 older adults (mean age 75.6±6.5 years; 55.2% female) divided into 3 groups according to their cognitive status (44 CHI, 39 MCI patients and 33 AD patients with mild dementia).
RESULTS: The full adjusted multiple linear regression models showed that high STV was associated with slow gait speed at usual-pace walking speed (P=0.002) and with the MCI status at fast-pace walking speed (P=0.015).
CONCLUSIONS: High STV at fast-pace walking speed was a specific gait disturbance of MCI patients in the sample of studied participants, and thus could be used in the future as a specific biomarker of MCI patients.

Entities:  

Mesh:

Year:  2013        PMID: 23459976     DOI: 10.1007/s12603-012-0394-4

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


  29 in total

1.  Trial making test as a screening device for the detection of brain damage.

Authors:  E C BROWN; A CASEY; R I FISCH; C NEURINGER
Journal:  J Consult Psychol       Date:  1958-12

2.  Effect of psychoactive medication on gait variability in community-dwelling older adults: a cross-sectional study.

Authors:  Laurent Poujol; Cédric Annweiler; Gilles Allali; Bruno Fantino; Olivier Beauchet
Journal:  J Am Geriatr Soc       Date:  2010-06       Impact factor: 5.562

3.  MRI- and MRS-derived hippocampal correlates of quantitative locomotor function in older adults.

Authors:  Molly E Zimmerman; Richard B Lipton; Jullie W Pan; Hoby P Hetherington; Joe Verghese
Journal:  Brain Res       Date:  2009-07-23       Impact factor: 3.252

4.  Screening for dementia by memory testing.

Authors:  E Grober; H Buschke; H Crystal; S Bang; R Dresner
Journal:  Neurology       Date:  1988-06       Impact factor: 9.910

5.  Restriction in complex activities of daily living in MCI: impact on outcome.

Authors:  K Pérès; V Chrysostome; C Fabrigoule; J M Orgogozo; J F Dartigues; P Barberger-Gateau
Journal:  Neurology       Date:  2006-08-08       Impact factor: 9.910

6.  The FAB: a Frontal Assessment Battery at bedside.

Authors:  B Dubois; A Slachevsky; I Litvan; B Pillon
Journal:  Neurology       Date:  2000-12-12       Impact factor: 9.910

7.  Vitamin D insufficiency and mild cognitive impairment: cross-sectional association.

Authors:  C Annweiler; B Fantino; A M Schott; P Krolak-Salmon; G Allali; O Beauchet
Journal:  Eur J Neurol       Date:  2012-02-16       Impact factor: 6.089

8.  Patterns of motor impairement in normal aging, mild cognitive decline, and early Alzheimer's disease.

Authors:  A Kluger; J G Gianutsos; J Golomb; S H Ferris; A E George; E Franssen; B Reisberg
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1997-01       Impact factor: 4.077

9.  Gait dysfunction in mild cognitive impairment syndromes.

Authors:  Joe Verghese; Matthew Robbins; Roee Holtzer; Molly Zimmerman; Cuiling Wang; Xiaonan Xue; Richard B Lipton
Journal:  J Am Geriatr Soc       Date:  2008-05-14       Impact factor: 5.562

10.  Walking speed-related changes in stride time variability: effects of decreased speed.

Authors:  Olivier Beauchet; Cedric Annweiler; Yhann Lecordroch; Gilles Allali; Veronique Dubost; François R Herrmann; Reto W Kressig
Journal:  J Neuroeng Rehabil       Date:  2009-08-05       Impact factor: 4.262

View more
  42 in total

1.  Intra-individual lap time variation of the 400-m walk, an early mobility indicator of executive function decline in high-functioning older adults?

Authors:  Qu Tian; Susan M Resnick; Luigi Ferrucci; Stephanie A Studenski
Journal:  Age (Dordr)       Date:  2015-11-11

2.  Sensor-based balance training with motion feedback in people with mild cognitive impairment.

Authors:  Michael Schwenk; Marwan Sabbagh; Ivy Lin; Pharah Morgan; Gurtej S Grewal; Jane Mohler; David W Coon; Bijan Najafi
Journal:  J Rehabil Res Dev       Date:  2016

3.  Association of Dual-Task Gait With Incident Dementia in Mild Cognitive Impairment: Results From the Gait and Brain Study.

Authors:  Manuel M Montero-Odasso; Yanina Sarquis-Adamson; Mark Speechley; Michael J Borrie; Vladimir C Hachinski; Jennie Wells; Patricia M Riccio; Marcelo Schapira; Ervin Sejdic; Richard M Camicioli; Robert Bartha; William E McIlroy; Susan Muir-Hunter
Journal:  JAMA Neurol       Date:  2017-07-01       Impact factor: 18.302

4.  Gait changes with anti-dementia drugs: a prospective, open-label study combining single and dual task assessments in patients with Alzheimer's disease.

Authors:  Olivier Beauchet; Cyrille P Launay; Gilles Allali; François R Herrmann; Cedric Annweiler
Journal:  Drugs Aging       Date:  2014-05       Impact factor: 3.923

Review 5.  The Impact of Mild Cognitive Impairment on Gait and Balance: A Systematic Review and Meta-Analysis of Studies Using Instrumented Assessment.

Authors:  Lindsay Bahureksa; Bijan Najafi; Ahlam Saleh; Marwan Sabbagh; David Coon; M Jane Mohler; Michael Schwenk
Journal:  Gerontology       Date:  2016-05-13       Impact factor: 5.140

6.  Cognitive status, fast walking speed and walking speed reserve-the Gait and Alzheimer Interactions Tracking (GAIT) study.

Authors:  Michele L Callisaya; Cyrille P Launay; Velandai K Srikanth; Joe Verghese; Gilles Allali; Olivier Beauchet
Journal:  Geroscience       Date:  2017-04-03       Impact factor: 7.713

7.  Stride variability measures derived from wrist- and hip-worn accelerometers.

Authors:  Jacek K Urbanek; Jaroslaw Harezlak; Nancy W Glynn; Tamara Harris; Ciprian Crainiceanu; Vadim Zipunnikov
Journal:  Gait Posture       Date:  2016-11-30       Impact factor: 2.840

8.  Comparison of Gait Parameters for Predicting Cognitive Decline: The Mayo Clinic Study of Aging.

Authors:  Rodolfo Savica; Alexandra M V Wennberg; Clinton Hagen; Kelly Edwards; Rosebud O Roberts; John H Hollman; David S Knopman; Bradley F Boeve; Mary M Machulda; Ronald C Petersen; Michelle M Mielke
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

9.  Changes in gait variability with anti-dementia drugs: a systematic review and meta-analysis.

Authors:  O Beauchet; C P Launay; G Allali; C Annweiler
Journal:  CNS Drugs       Date:  2014-06       Impact factor: 5.749

10.  Cognition is associated with gait variability in individuals with multiple sclerosis.

Authors:  Katherine L Hsieh; Ruopeng Sun; Jacob J Sosnoff
Journal:  J Neural Transm (Vienna)       Date:  2017-10-25       Impact factor: 3.575

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.