Literature DB >> 25969471

Intraindividual Reaction Time Variability, Falls, and Gait in Old Age: A Systematic Review.

Jack Graveson1, Sarah Bauermeister1, Denis McKeown1, David Bunce2.   

Abstract

OBJECTIVES: Intraindividual variability (IIV) refers to the variation in reaction time (RT) performance across a given cognitive task. As greater IIV may reflect compromise of the frontal circuitry implicated in falls and gait impairment in older adults, we conducted a systematic review of the literature relating to this issue.
METHODS: Searches were conducted of electronic databases that identified empirical investigations of IIV, falls, and gait in older adult samples with a mean age of 65 years or older. Data were extracted relating to IIV measures, study population, and outcomes.
RESULTS: Of 433 studies initially identified, 9 met inclusion criteria for IIV and falls (n = 5), and gait (n = 4). Representing a total of 2,810 older participants, all of the studies of IIV and falls showed that elevated variability was associated with increased risk of falling, and half of the studies of gait indicated greater IIV was related to gait impairment. DISCUSSION: Across studies, IIV measures were consistently associated with falls in older persons and demonstrated some potential in relation to gait. IIV metrics may, therefore, have considerable potential in clinical contexts and supplement existing test batteries in the assessment of falls risk and gait impairment in older populations.
© The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Cognition; Developmental change; Falls; Life course; Mobility problems

Mesh:

Year:  2015        PMID: 25969471     DOI: 10.1093/geronb/gbv027

Source DB:  PubMed          Journal:  J Gerontol B Psychol Sci Soc Sci        ISSN: 1079-5014            Impact factor:   4.077


  16 in total

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Journal:  PLoS One       Date:  2017-08-09       Impact factor: 3.240

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Authors:  Emma Richards; Antony Bayer; Jeremy J Tree; Claire Hanley; Jade E Norris; Andrea Tales
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10.  Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive Decline.

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Journal:  Front Aging Neurosci       Date:  2021-07-12       Impact factor: 5.750

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