Literature DB >> 24050167

Quantitative gait disturbances in older adults with cognitive impairments.

Stephanie A Bridenbaugh, Reto W Kressig1.   

Abstract

Gait is a complex motor task, initiated and governed by different areas of the brain. Studies have shown a clear association between gait and cognition. Impairments in both gait and cognition are prevalent in older adults. Older adults with gait impairment have an increased risk of developing cognitive impairments. Those with cognitive impairment often have gait impairments and more falls than cognitively healthy older adults. Recent studies have shown that quantitative gait analysis, particularly performed during dual task conditions, can detect gait deficits that cannot yet be seen by the naked eye, even to a trained specialist. Some studies have shown that such gait disturbances were measurable years before mild cognitive impairment or dementia or walking difficulties were clinically manifest. Quantitative gait analysis can provide early detection of gait and cognitive impairments as well as fall risk. Future quantitative gait studies may help distinguish dementia subtypes in early stages of the diseases. Early detection of gait and cognitive impairments would provide a better understanding of disease pathophysiology and progression. Early detection also allows the timely implementation of interventions with the ultimate goal of improving or maintaining mobility and functional independence for as long as possible. Quantitative gait analysis should be viewed as a clinical tool to aid diagnoses and treatment planning. This review examines the current literature on quantitatively measured gait impairment in older adults with mild cognitive impairment or a dementia subtype.

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Year:  2014        PMID: 24050167     DOI: 10.2174/13816128113196660688

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  6 in total

Review 1.  Motor cognitive dual tasking: early detection of gait impairment, fall risk and cognitive decline.

Authors:  Stephanie A Bridenbaugh; Reto W Kressig
Journal:  Z Gerontol Geriatr       Date:  2015-01-21       Impact factor: 1.281

2.  Examination of Simple Outcome Measures and Cut-off Values Related to Walking Independence of Inpatients with Medical Diseases in Acute Care Hospitals.

Authors:  Shinya Yamauchi; Shinichiro Morishita; Satoshi Mabuchi; Norihiko Kodama; Kazuhisa Domen
Journal:  Prog Rehabil Med       Date:  2017-05-26

3.  Gait phenotype from mild cognitive impairment to moderate dementia: results from the GOOD initiative.

Authors:  G Allali; C Annweiler; H M Blumen; M L Callisaya; A-M De Cock; R W Kressig; V Srikanth; J-P Steinmetz; J Verghese; O Beauchet
Journal:  Eur J Neurol       Date:  2015-12-14       Impact factor: 6.089

4.  Gait disorder as a predictor of spatial learning and memory impairment in aged mice.

Authors:  Xin Wang; Qing M Wang; Zhaoxiang Meng; Zhenglu Yin; Xun Luo; Duonan Yu
Journal:  PeerJ       Date:  2017-01-05       Impact factor: 2.984

Review 5.  The Interplay between Magnesium and Testosterone in Modulating Physical Function in Men.

Authors:  Marcello Maggio; Francesca De Vita; Fulvio Lauretani; Antonio Nouvenne; Tiziana Meschi; Andrea Ticinesi; Ligia J Dominguez; Mario Barbagallo; Elisabetta Dall'aglio; Gian Paolo Ceda
Journal:  Int J Endocrinol       Date:  2014-03-03       Impact factor: 3.257

6.  Gait pattern analysis and clinical subgroup identification: a retrospective observational study.

Authors:  Sunghyon Kyeong; Seung Min Kim; Suk Jung; Dae Hyun Kim
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

  6 in total

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