Background:Gait impairments are emerging predictors of dementia. However, few studies have examined whether gait predicts decline in specific cognitive domains. Objective:This study aimed to determine speed or other characteristics were associated with cognitiv e domains and the role ApoE4 genotype modifying these associations. Methods:Participants (n = 410; mean age 72.0±7.0 years) randomly selected from electoral roll. At baseline, was assessed using GAITRite walkway. Gait variability step...

falls share risk factors with cognitive decline but whether predict decline, pre-dementia syndromes and dementia is poorly understood.this study aimed to examine if are associated in specific domains the of Motoric Cognitive Risk (MCR) syndrome dementia.cross-sectional study.in older people (age 80.6 ± 5.3 years) free at baseline, number (none, one or multiple) during year before enrolment first follow-up (exposure) were recorded. Decline functions (global cognition, episodic verbal memory,...

Gait and cognition decline with advancing age, presage the onset of dementia. Yet, relative trajectories gait cognitive in aging are poorly understood-particularly among those motoric risk (MCR) syndrome. This study compared changes simple complex performance cognition, as a function age MCR.We examined functions 1 095 LonGenity participants (mean = 75.4 ± 6.7 years) up to 12 years annual follow-up. Participants were Ashkenazi Jewish descent, free dementia, ambulatory, had 12.2% MCR...

This randomized controlled trial (NCT03475316) examined the relative efficacy of 6 months social ballroom dancing and treadmill walking on a composite executive function score, generated from digit symbol substitution test, flanker interference, while talking tasks. Brain activation during functional magnetic resonance imaging (fMRI) versions these tasks were secondary outcomes. Twenty-five dementia-at-risk older adults (memory impairment screen score ≥3 to ≤6 / or an Alzheimer’s disease-8...

Background Greater gait variability increases the risk of falls. However, little is known about changes in older age. The aims this study were to: 1) examine change across time and 2) factors that predict overall mean its over time. Methods Participants (n=410; age 72 years) assessed at baseline during follow up visits an average 30 54 months. Step time, step length, width double support (DST) measured using a GAITRite walkway. Variability was calculated as standard deviation all steps for...

Abstract Background Gait variability is a marker of cognitive decline. However, there limited understanding the cortical regions associated with gait variability. We examined associations between regional thickness and in population-based sample older people without dementia. Method Participants (n = 350, mean age 71.9 ± 7.1) were randomly selected from electoral roll. Variability step time, length, width, double support time (DST) calculated as standard deviation each measure, obtained...

Abstract The Bronx County in New York (NY) has the highest prevalence of dementia state and is considered least healthy NY counties. This study aims to identify barriers participation research among older adults explore strategies for improving their readiness. We are distributing a brief survey 100 (aged ≥60) visiting ambulatory practice memory clinics at Montefiore Medical Center community-based adult centers Bronx. survey, which will be completed September 2024, assesses participants’...

Abstract Virtual reality (VR) is an innovative technology to use in Alzheimer’s clinical trials improve cognitive and behavioral skills older adults. However, the application of VR adults raises questions regarding their ability platforms concerns simulator sickness (i.e., dizziness). We compared task completion time, accuracy, acceptability a virtual meal-preparing between 8 young (M age 25, SD 2.6, M years education 17.1 1.6, 50% women) at risk for dementia 76.3, 7.9, 12.9 8.3, 62.5%...

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Abstract Gait variability is a marker of cognitive decline. However, there limited understanding the cortical regions associated with gait variability. We examined associations between regional thickness and in population-based sample older people without dementia. Participants (n=350, mean age 71.9±7.1) were randomly selected from electoral roll. Variability step time, length, width double support time (DST) calculated as standard deviation each measure, obtained GAITRite walkway. MRI scans...

Abstract The Motoric Cognitive Risk (MCR) syndrome predicts risk of Alzheimer’s disease and vascular dementia. Cross-national comparisons factors for MCR are important identifying region-specific to design regionally tailored preventive interventions. We examined associated with in 20,468 adults aged ≥65 years from the U.S Health Retirement Study (HRS), English Longitudinal Ageing (ELSA), Mexican Aging (MHAS), China (CHARLES), Harmonized Diagnostic Assessment Dementia India (LASI-DAD),...

Abstract Background The Motoric Cognitive Risk (MCR) syndrome is associated with increased risk of Alzheimer’s disease and vascular dementia. MCR does not require cognitive or lab tests to diagnose, increasing its utility in resource‐poor settings. specific factors different high‐ middle‐income countries are established. Methods We examined the epidemiology harmonized cross‐sectional data from 17,050 adults aged ≥ 65 years enrolled U.S. Health Retirement Study (HRS; n = 3,748), English...

Intra-individual gait variability is emerging as a novel predictor of dementia (Verghese J et al Neurol Neurosurg Psychiatry 2007; Ceïde M. Amer Ger Psych 2018). However, there limited understanding to whether predicts decline in specific cognitive domains or its association with risk factors. The aims this study were determine: 1) baseline was associated and 2) the factors variability. Participants (n=410; mean age 72.0±7.0) randomly selected from Southern Tasmanian (Australia) electoral...

Intra-individual gait variability is an emerging predictor of dementia. However, very little known about the neural correlates associated with variability. The aims this cross-sectional study were to 1) identify grey matter volume covariance patterns individual measures, and 2) determine whether these correlated specific cognitive functions. Participants (n=351; mean age 71.9±7.1) randomly selected from Southern Tasmanian (Australia) electoral roll. Gait characteristics (step time, step...