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Falls, Cognitive Impairment, and Gait Performance: Results From the GOOD Initiative

Identifieur interne : 001C25 ( Pmc/Curation ); précédent : 001C24; suivant : 001C26

Falls, Cognitive Impairment, and Gait Performance: Results From the GOOD Initiative

Auteurs : Gilles Allali [États-Unis, Suisse] ; Cyrille P. Launay [France] ; Helena M. Blumen [États-Unis] ; Michele L. Callisaya [Australie] ; Anne-Marie De Cock [Belgique] ; Reto W. Kressig [Suisse] ; Velandai Srikanth [Australie] ; Jean-Paul Steinmetz [Luxembourg (pays)] ; Joe Verghese [États-Unis] ; Olivier Beauchet [Canada, France]

Source :

RBID : PMC:5366266

Abstract

Objectives

Falls are highly prevalent in individuals with cognitive decline. The complex relationship between falls and cognitive decline (including both subtype and severity of dementia) and the influence of gait disorders have not been studied. This study aimed to examine the association between the subtype (Alzheimer disease [AD] versus non-AD) and the severity (from preclinical to moderate dementia) of cognitive impairment and falls, and to establish an association between falls and gait parameters during the course of dementia.

Design

Multicenter cross-sectional study.

Setting

“Gait, cOgnitiOn & Decline” (GOOD) initiative.

Participants

A total of 2496 older adults (76.6 ± 7.6 years; 55.0% women) were included in this study (1161 cognitively healthy individuals [CHI], 529 patients with mild cognitive impairment [MCI], 456 patients with mild dementia, and 350 with moderate dementia) from 7 countries.

Measurements

Falls history was collected retrospectively at baseline in each study. Gait speed and stride time variability were recorded at usual walking pace with the GAITRite system.

Results

The prevalence of individuals who fall was 50% in AD and 64% in non-AD; whereas it was 25% in CHIs. Only mild and moderate non-AD dementia were associated with an increased risk for falls in comparison with CHI. Higher stride time variability was associated with falls in older adults without dementia (CHI and each MCI subgroup) and mild non-AD dementia, whereas lower gait speed was associated with falls in all participant groups, except in mild AD dementia. When gait speed was adjusted for, higher stride time variability was associated with falls only in CHIs (odds ratio 1.14; P = .012), but not in MCI or in patients with dementia.

Conclusions

These findings suggest that non-AD, but not AD dementia, is associated with increased falls in comparison with CHIs. The association between gait parameters and falls also differs across cognitive status, suggesting different mechanisms leading to falls in older individuals with dementia in comparison with CHIs who fall.


Url:
DOI: 10.1016/j.jamda.2016.10.008
PubMed: 27914848
PubMed Central: 5366266

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<title level="j">Journal of the American Medical Directors Association</title>
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<date when="2016">2016</date>
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<sec id="S1">
<title>Objectives</title>
<p id="P1">Falls are highly prevalent in individuals with cognitive decline. The complex relationship between falls and cognitive decline (including both subtype and severity of dementia) and the influence of gait disorders have not been studied. This study aimed to examine the association between the subtype (Alzheimer disease [AD] versus non-AD) and the severity (from preclinical to moderate dementia) of cognitive impairment and falls, and to establish an association between falls and gait parameters during the course of dementia.</p>
</sec>
<sec id="S2">
<title>Design</title>
<p id="P2">Multicenter cross-sectional study.</p>
</sec>
<sec id="S3">
<title>Setting</title>
<p id="P3">“Gait, cOgnitiOn & Decline” (GOOD) initiative.</p>
</sec>
<sec id="S4">
<title>Participants</title>
<p id="P4">A total of 2496 older adults (76.6 ± 7.6 years; 55.0% women) were included in this study (1161 cognitively healthy individuals [CHI], 529 patients with mild cognitive impairment [MCI], 456 patients with mild dementia, and 350 with moderate dementia) from 7 countries.</p>
</sec>
<sec id="S5">
<title>Measurements</title>
<p id="P5">Falls history was collected retrospectively at baseline in each study. Gait speed and stride time variability were recorded at usual walking pace with the GAITRite system.</p>
</sec>
<sec id="S6">
<title>Results</title>
<p id="P6">The prevalence of individuals who fall was 50% in AD and 64% in non-AD; whereas it was 25% in CHIs. Only mild and moderate non-AD dementia were associated with an increased risk for falls in comparison with CHI. Higher stride time variability was associated with falls in older adults without dementia (CHI and each MCI subgroup) and mild non-AD dementia, whereas lower gait speed was associated with falls in all participant groups, except in mild AD dementia. When gait speed was adjusted for, higher stride time variability was associated with falls only in CHIs (odds ratio 1.14;
<italic>P</italic>
= .012), but not in MCI or in patients with dementia.</p>
</sec>
<sec id="S7">
<title>Conclusions</title>
<p id="P7">These findings suggest that non-AD, but not AD dementia, is associated with increased falls in comparison with CHIs. The association between gait parameters and falls also differs across cognitive status, suggesting different mechanisms leading to falls in older individuals with dementia in comparison with CHIs who fall.</p>
</sec>
</div>
</front>
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<article-id pub-id-type="pmid">27914848</article-id>
<article-id pub-id-type="pmc">5366266</article-id>
<article-id pub-id-type="doi">10.1016/j.jamda.2016.10.008</article-id>
<article-id pub-id-type="manuscript">NIHMS843718</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Falls, Cognitive Impairment, and Gait Performance: Results From the GOOD Initiative</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Allali</surname>
<given-names>Gilles</given-names>
</name>
<degrees>MD, PhD</degrees>
<pmc-comment>gilles.allali@hcuge.ch</pmc-comment>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A2">b</xref>
<xref rid="FN1" ref-type="author-notes">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Launay</surname>
<given-names>Cyrille P.</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="A3">c</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Blumen</surname>
<given-names>Helena M.</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A4">d</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Callisaya</surname>
<given-names>Michele L.</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A5">e</xref>
<xref ref-type="aff" rid="A6">f</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>De Cock</surname>
<given-names>Anne-Marie</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A7">g</xref>
<xref ref-type="aff" rid="A8">h</xref>
<xref ref-type="aff" rid="A9">i</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kressig</surname>
<given-names>Reto W.</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A10">j</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Srikanth</surname>
<given-names>Velandai</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A5">e</xref>
<xref ref-type="aff" rid="A6">f</xref>
<xref ref-type="aff" rid="A11">k</xref>
<xref ref-type="aff" rid="A12">l</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Steinmetz</surname>
<given-names>Jean-Paul</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A13">m</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Verghese</surname>
<given-names>Joe</given-names>
</name>
<degrees>MBBS</degrees>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A4">d</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Beauchet</surname>
<given-names>Olivier</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="A14">n</xref>
<xref ref-type="aff" rid="A15">o</xref>
</contrib>
<contrib contrib-type="author">
<collab>the Biomathics Consortium</collab>
</contrib>
</contrib-group>
<aff id="A1">
<label>a</label>
Department of Neurology, Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York</aff>
<aff id="A2">
<label>b</label>
Department of Neurology, Geneva University Hospital and University of Geneva, Geneva, Switzerland</aff>
<aff id="A3">
<label>c</label>
Department of Neuroscience, Division of Geriatric Medicine, UPRES EA 4638, UNAM, Angers University Hospital, Angers, France</aff>
<aff id="A4">
<label>d</label>
Department of Medicine, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY</aff>
<aff id="A5">
<label>e</label>
Menzies Institute of Medical Research, University of Tasmania, Tasmania, Australia</aff>
<aff id="A6">
<label>f</label>
Department of Medicine, Peninsula Health, Melbourne, Victoria, Australia</aff>
<aff id="A7">
<label>g</label>
epartment of Geriatric Medicine, General Hospital ST Maarten, Mechelen, Belgium</aff>
<aff id="A8">
<label>h</label>
Department of Geriatrics, University of Antwerp, Antwerp, Belgium</aff>
<aff id="A9">
<label>i</label>
Department of Primary an Interdisciplinary Care (ELIZA), University of Antwerp, Antwerp, Belgium</aff>
<aff id="A10">
<label>j</label>
University Center for Medicine of Aging, Felix Platter Hospital and University of Basel, Basel, Switzerland</aff>
<aff id="A11">
<label>k</label>
Central Clinical School, Medicine, Monash University, Victoria, Australia</aff>
<aff id="A12">
<label>l</label>
Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia</aff>
<aff id="A13">
<label>m</label>
Centre for Memory and Mobility, Luxembourg city, Luxembourg</aff>
<aff id="A14">
<label>n</label>
Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada</aff>
<aff id="A15">
<label>o</label>
Biomathics, Paris, France</aff>
<author-notes>
<corresp id="FN1">
<label>*</label>
Address correspondence to Gilles Allali, MD, PhD, Department of Neurology, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, Geneva 1211, Switzerland</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>20</day>
<month>1</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="ppub">
<day>01</day>
<month>4</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>01</day>
<month>4</month>
<year>2017</year>
</pub-date>
<volume>18</volume>
<issue>4</issue>
<fpage>335</fpage>
<lpage>340</lpage>
<pmc-comment>elocation-id from pubmed: 10.1016/j.jamda.2016.10.008</pmc-comment>
<abstract>
<sec id="S1">
<title>Objectives</title>
<p id="P1">Falls are highly prevalent in individuals with cognitive decline. The complex relationship between falls and cognitive decline (including both subtype and severity of dementia) and the influence of gait disorders have not been studied. This study aimed to examine the association between the subtype (Alzheimer disease [AD] versus non-AD) and the severity (from preclinical to moderate dementia) of cognitive impairment and falls, and to establish an association between falls and gait parameters during the course of dementia.</p>
</sec>
<sec id="S2">
<title>Design</title>
<p id="P2">Multicenter cross-sectional study.</p>
</sec>
<sec id="S3">
<title>Setting</title>
<p id="P3">“Gait, cOgnitiOn & Decline” (GOOD) initiative.</p>
</sec>
<sec id="S4">
<title>Participants</title>
<p id="P4">A total of 2496 older adults (76.6 ± 7.6 years; 55.0% women) were included in this study (1161 cognitively healthy individuals [CHI], 529 patients with mild cognitive impairment [MCI], 456 patients with mild dementia, and 350 with moderate dementia) from 7 countries.</p>
</sec>
<sec id="S5">
<title>Measurements</title>
<p id="P5">Falls history was collected retrospectively at baseline in each study. Gait speed and stride time variability were recorded at usual walking pace with the GAITRite system.</p>
</sec>
<sec id="S6">
<title>Results</title>
<p id="P6">The prevalence of individuals who fall was 50% in AD and 64% in non-AD; whereas it was 25% in CHIs. Only mild and moderate non-AD dementia were associated with an increased risk for falls in comparison with CHI. Higher stride time variability was associated with falls in older adults without dementia (CHI and each MCI subgroup) and mild non-AD dementia, whereas lower gait speed was associated with falls in all participant groups, except in mild AD dementia. When gait speed was adjusted for, higher stride time variability was associated with falls only in CHIs (odds ratio 1.14;
<italic>P</italic>
= .012), but not in MCI or in patients with dementia.</p>
</sec>
<sec id="S7">
<title>Conclusions</title>
<p id="P7">These findings suggest that non-AD, but not AD dementia, is associated with increased falls in comparison with CHIs. The association between gait parameters and falls also differs across cognitive status, suggesting different mechanisms leading to falls in older individuals with dementia in comparison with CHIs who fall.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Falls</kwd>
<kwd>gait disorders</kwd>
<kwd>dementia</kwd>
<kwd>mild cognitive impairment</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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