ArticleAlzheimer's & dementia (New York, N. Y.)2021
Continuous gait monitoring discriminates community-dwelling mild Alzheimer's disease from cognitively normal controls.
Article in Alzheimer's & dementia (New York, N. Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Relationship Between Cognitive Abilities and Lower-Limb Movements: Can Analyzing Gait Parameters and Movements Help Detect Dementia? A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Gait Analysis Using Wearable Sensors in Patients With Alzheimer's Dementia: A Preliminary Report.Dementia and neurocognitive disorders · 2026Article
- Noninvasive Electrophysiological Biomarkers of Olfactory Responses Across Cognitive States in Alzheimer Dementia: Cross-Sectional Study.JMIR mHealth and uHealth · 2026Article
- AI-enabled digital phenotyping for Alzheimer's disease: a review of multimodal sensor integration and symptom trajectories.Alzheimer's research & therapy · 2026Review
- Computational gait analysis in the 3xTg-AD mouse model: evidence of progressive alterations in locomotor coordination.Frontiers in aging neuroscience · 2026Article
- Development and validation of a multi-modal contactless sensing system for surgical risk analysis in a real-world environment.PLOS digital health · 2025Article
- Analyzing Mobility Indicators Using Machine Learning to Detect Mild Cognitive Impairment: A Systematic Scoping Review.Applied clinical informatics · 2025Article
- Differences in Daily Physical Activity by Alzheimer's Risk Markers Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Classification of Mild Cognitive Impairment and Alzheimer's Disease Using Manual Motor Measures.Neuro-degenerative diseases · 2024Article
- Correlation Between Executive Function and Walk While Crossing Over an Obstacle Under Different Gait Phases.Dementia and neurocognitive disorders · 2023Article
- Distributional data analysis via quantile functions and its application to modeling digital biomarkers of gait in Alzheimer's Disease.Biostatistics (Oxford, England) · 2023Article
- Capturing Measures That Matter: The Potential Value of Digital Measures of Physical Behavior for Alzheimer's Disease Drug Development.Journal of Alzheimer's disease : JAD · 2023Review
- Quantitative gait analysis in mild cognitive impairment, dementia, and cognitively intact individuals: a cross-sectional case-control study.BMC geriatrics · 2022Article
- A Review of the Measurement of the Neurology of Gait in Cognitive Dysfunction or Dementia, Focusing on the Application of fNIRS during Dual-Task Gait Assessment.Brain sciences · 2022Review
- Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer's Disease.Scientific reports · 2022Article
- Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets.JMIR formative research · 2022Article
- Quantification of Daily-Living Gait Quantity and Quality Using a Wrist-Worn Accelerometer in Huntington's Disease.Frontiers in neurology · 2021Article
- Developing and Establishing Biomechanical Variables as Risk Biomarkers for Preventable Gait-Related Falls and Assessment of Intervention Effectiveness.Frontiers in sports and active living · 2021Review
- Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer's Disease and Mild Cognitive Impairment.Journal of Alzheimer's disease : JAD · 2021Article
- Continuous gait monitoring discriminates community-dwelling mild Alzheimer's disease from cognitively normal controls.Alzheimer's & dementia (New York, N. Y.) · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
introductionFew studies have explored whether gait measured continuously within a community setting can identify individuals with Alzheimer's disease (AD). This study tests the feasibility of this method to identify individuals at the earliest stage of AD.
methodsMild AD (n = 38) and cognitively normal control (CNC; n = 48) participants from the University of Kansas Alzheimer's Disease Center Registry wore a GT3x+ accelerometer continuously for 7 days to assess gait. Penalized logistic regression with repeated five-fold cross-validation followed by adjusted logistic regression was used to identify gait metrics with the highest predictive performance in discriminating mild AD from CNC.
resultsVariability in step velocity and cadence had the highest predictive utility in identifying individuals with mild AD. Metrics were also associated with cognitive domains impacted in early AD. DISCUSSION: Continuous gait monitoring may be a scalable method to identify individuals at-risk for developing dementia within large, population-based studies.
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