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Motor phenotype of decline in cognitive performance among community-dwellers without dementia: population-based study and meta-analysis.

ABSTRACT: Decline in cognitive performance is associated with gait deterioration. Our objectives were: 1) to determine, from an original study in older community-dwellers without diagnosis of dementia, which gait parameters, among slower gait speed, higher stride time variability (STV) and Timed Up & Go test (TUG) delta time, were most strongly associated with lower performance in two cognitive domains (i.e., episodic memory and executive function); and 2) to quantitatively synthesize, with a systematic review and meta-analysis, the association between gait performance and cognitive decline (i.e., mild cognitive impairment (MCI) and dementia).Based on a cross-sectional design, 934 older community-dwellers without dementia (mean±standard deviation, 70.3±4.9years; 52.1% female) were recruited. A score at 5 on the Short Mini-Mental State Examination defined low episodic memory performance. Low executive performance was defined by clock-drawing test errors. STV and gait speed were measured using GAITRite system. TUG delta time was calculated as the difference between the times needed to perform and to imagine the TUG. Then, a systematic Medline search was conducted in November 2013 using the Medical Subject Heading terms "Delirium," "Dementia," "Amnestic," "Cognitive disorders" combined with "Gait" OR "Gait disorders, Neurologic" and "Variability."A total of 294 (31.5%) participants presented decline in cognitive performance. Higher STV, higher TUG delta time, and slower gait speed were associated with decline in episodic memory and executive performances (all P-values <0.001). The highest magnitude of association was found for higher STV (effect size ?=? -0.74 [95% Confidence Interval (CI): -1.05;-0.43], among participants combining of decline in episodic memory and in executive performances). Meta-analysis underscored that higher STV represented a gait biomarker in patients with MCI (effect size ?=? 0.48 [95% CI: 0.30;0.65]) and dementia (effect size ?=?1.06 [95% CI: 0.40;1.72]).Higher STV appears to be a motor phenotype of cognitive decline.

SUBMITTER: Beauchet O

PROVIDER: S-EPMC4049832 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Motor phenotype of decline in cognitive performance among community-dwellers without dementia: population-based study and meta-analysis.

Beauchet Olivier O Allali Gilles G Montero-Odasso Manuel M Sejdić Ervin E Fantino Bruno B Annweiler Cédric C

PloS one 20140609 6

<h4>Background</h4>Decline in cognitive performance is associated with gait deterioration. Our objectives were: 1) to determine, from an original study in older community-dwellers without diagnosis of dementia, which gait parameters, among slower gait speed, higher stride time variability (STV) and Timed Up & Go test (TUG) delta time, were most strongly associated with lower performance in two cognitive domains (i.e., episodic memory and executive function); and 2) to quantitatively synthesize, ...[more]

PMID: 24911155

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Project description:ObjectivesPhysical frailty (or loss of physiologic reserve) is associated with cognitive impairment and dementia. Subjective cognitive decline (SCD) may represent early pathologic changes of dementia. The association between these disease markers is unclear.DesignCross-sectional analysis.SettingCommunity-based participants from the Vanderbilt Memory & Aging Project.ParticipantsA total of 306 older adults with normal cognition (NC; n = 174) or mild cognitive impairment (MCI; n = 132).MeasurementsFrailty was measured using standard methods, and a composite frailty score was calculated. SCD was quantified using the Everyday Cognition Scale (ECog; total score and four domain scores). Objective cognition was assessed with the Montreal Cognitive Assessment (MoCA). Proportional odds models, stratified by sex, related the frailty composite to MoCA and total ECog score adjusting for age, education, body mass index, cognitive diagnosis, depressed mood, Framingham Stroke Risk Profile, apolipoprotein E (APOE ε4) carrier status, and height (for gait speed models). Secondary models related individual frailty components to SCD domains and explored associations in NC only.ResultsIn women, frailty composite was related to MoCA (odds ratio [OR] = .56; P = .04), a finding attenuated in sensitivity analysis (OR = .59; P = .08). Frailty composite related to ECog total (OR = 2.27; P = .02), planning (OR = 2.63; P = .02), and organization scores (OR = 2.39; P = .03). Increasing gait speed related to lower ECog total (OR = .06; P = .003) and memory scores (OR = .03; P < .001). Grip strength related to lower ECog planning score (OR = .91; P = .04). In men, frailty was unrelated to objective and subjective cognition (P values >.07). Findings were consistent in the NC group.ConclusionFrailty component and composite scores are related to SCD before the presence of overt dementia. Results suggest that this association is present before overt cognitive impairment. Results suggest a possible sex difference in the clinical manifestation of frailty, with primary associations noted in women. Further studies should investigate mechanisms linking early changes among frailty, SCD, and cognition. J Am Geriatr Soc, 1-9, 2019. J Am Geriatr Soc 67:1803-1811, 2019.

Project description:BackgroundSocioeconomic disadvantage is a risk factor for dementia, but longitudinal studies suggest that it does not affect the rate of cognitive decline. Our objective is to understand the manner in which socioeconomic disadvantage shapes dementia risk by examining its associations with midlife cognitive performance and cognitive decline from midlife to old age, including cognitive decline trajectories in those with dementia.Methods and findingsData are drawn from the Whitehall II study (N = 10,308 at study recruitment in 1985), with cognitive function assessed at 4 waves (1997, 2002, 2007, and 2012). Sociodemographic, behavioural, and cardiometabolic risk factors from 1985 and chronic conditions until the end of follow-up in 2015 (N dementia/total = 320/9,938) allowed the use of inverse probability weighting to take into account data missing because of loss to follow-up between the study recruitment in 1985 and the introduction of cognitive tests to the study in 1997. Generalized estimating equations and Cox regression were used to assess associations of socioeconomic markers (height, education, and midlife occupation categorized as low, intermediate, and high to represent hierarchy in the socioeconomic marker) with cognitive performance, cognitive decline, and dementia (N dementia/total = 195/7,499). In those with dementia, we examined whether retrospective trajectories of cognitive decline (backward timescale) over 18 years prior to diagnosis differed as a function of socioeconomic markers. Socioeconomic disadvantage was associated with poorer cognitive performance (all p < 0.001). Using point estimates for the effect of age, the differences between the high and low socioeconomic groups corresponded to an age effect of 4, 15, and 26 years, for height, education, and midlife occupation, respectively. There was no evidence of faster cognitive decline in socioeconomically disadvantaged groups. Low occupation, but not height or education, was associated with risk of dementia (hazard ratio [HR] = 2.03 [95% confidence interval (CI) 1.23-3.36]) in an analysis adjusted for sociodemographic factors; the excess risk was unchanged after adjustment for cognitive decline but was completely attenuated after adjustment for cognitive performance. In further analyses restricted to those with dementia, retrospective cognitive trajectories over 18 years prior to dementia diagnosis showed faster cognitive decline in the high education (p = 0.006) and occupation (p = 0.001) groups such that large differences in cognitive performance in midlife were attenuated at dementia diagnosis. A major limitation of our study is the use of electronic health records rather than comprehensive dementia ascertainment.ConclusionsOur results support the passive or threshold cognitive reserve hypothesis, in that high cognitive reserve is associated with lower risk for dementia because of its association with cognitive performance, which provides a buffer against clinical expression of dementia.

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Motor phenotype of decline in cognitive performance among community-dwellers without dementia: population-based study and meta-analysis.

Publications

Motor phenotype of decline in cognitive performance among community-dwellers without dementia: population-based study and meta-analysis.

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