Literature DB >> 23110433

Gait and cognition: a complementary approach to understanding brain function and the risk of falling.

Manuel Montero-Odasso1, Joe Verghese, Olivier Beauchet, Jeffrey M Hausdorff.   

Abstract

Until recently, clinicians and researchers have performed gait assessments and cognitive assessments separately when evaluating older adults, but increasing evidence from clinical practice, epidemiological studies, and clinical trials shows that gait and cognition are interrelated in older adults. Quantifiable alterations in gait in older adults are associated with falls, dementia, and disability. At the same time, emerging evidence indicates that early disturbances in cognitive processes such as attention, executive function, and working memory are associated with slower gait and gait instability during single- and dual-task testing and that these cognitive disturbances assist in the prediction of future mobility loss, falls, and progression to dementia. This article reviews the importance of the interrelationship between gait and cognition in aging and presents evidence that gait assessments can provide a window into the understanding of cognitive function and dysfunction and fall risk in older people in clinical practice. To this end, the benefits of dual-task gait assessments (e.g., walking while performing an attention-demanding task) as a marker of fall risk are summarized. A potential complementary approach for reducing the risk of falls by improving certain aspects of cognition through nonpharmacological and pharmacological treatments is also presented. Untangling the relationship between early gait disturbances and early cognitive changes may be helpful in identifying older adults at risk of experiencing mobility decline, falls, and progression to dementia.
© 2012, Copyright the Authors Journal compilation © 2012, The American Geriatrics Society.

Entities:  

Mesh:

Year:  2012        PMID: 23110433      PMCID: PMC3498517          DOI: 10.1111/j.1532-5415.2012.04209.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  50 in total

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4.  "Stops walking when talking" as a predictor of falls in elderly people.

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5.  Risk factors for falls among elderly persons living in the community.

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8.  The trajectory of gait speed preceding mild cognitive impairment.

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3.  The Impact of a Home-Based Computerized Cognitive Training Intervention on Fall Risk Measure Performance in Community Dwelling Older Adults, a Pilot Study.

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Review 4.  Poor Gait Performance and Prediction of Dementia: Results From a Meta-Analysis.

Authors:  Olivier Beauchet; Cédric Annweiler; Michele L Callisaya; Anne-Marie De Cock; Jorunn L Helbostad; Reto W Kressig; Velandai Srikanth; Jean-Paul Steinmetz; Helena M Blumen; Joe Verghese; Gilles Allali
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5.  Complex Movement Control in a Rat Model of Parkinsonian Falls: Bidirectional Control by Striatal Cholinergic Interneurons.

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6.  Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment.

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Journal:  J Med Syst       Date:  2020-04-23       Impact factor: 4.460

Review 7.  Where attention falls: Increased risk of falls from the converging impact of cortical cholinergic and midbrain dopamine loss on striatal function.

Authors:  Martin Sarter; Roger L Albin; Aaron Kucinski; Cindy Lustig
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8.  The Relationship Between Cognitive Impairment and Upper Extremity Function in Older Primary Care Patients.

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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
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10.  Co-occurrence of decrements in physical and cognitive function is common in older oncology patients receiving chemotherapy.

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