Isabel Martín-Fuentes, Patricio Solis-Urra, Emilio J Ruiz-Malagón, Andrea Coca-Pulido, Angel Toval, Beatriz Fernandez-Gamez, Marcos Olvera-Rojas, Darío Bellón, Alessandro Sclafani, Jose Mora-Gonzalez, Lucía Sánchez-Aranda, Javier Sanchez-Martinez, José Pablo Martínez-Barbero, Manuel Gómez-Río, Teresa Liu-Ambrose, Kirk I Erickson, Francisco B Ortega, Irene Esteban-Cornejo
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引用次数: 0
Abstract
Background and objectives: Aging is associated with both gait impairments and cognitive decline; however, the relationship between specific gait variability parameters, gray matter volume (GMV), and cognitive function remains poorly understood. This study aims to examine the associations between gait variability parameters (derived from stride length, step length, step time, and gait velocity) and GMV and its associations with cognitive function in cognitively normal older adults.
Research design and methods: Eighty-seven older adults (48 female) aged 65-80 from the AGUEDA trial participated in this cross-sectional analysis. The Optogait system was used to record gait parameters. T1-weighted brain images were acquired magnetic resonance imaging scanner, and GMV was calculated by whole-brain voxel-based morphometric analysis using SPM12. Cognitive function was calculated from different cognitive tests.
Results: Greater stride length variability was associated with lower GMV (p < .001) in clusters located in the supramarginal gyrus (t = 4.014, k = 179, β = -0.494) and hippocampus (t = 3.670, k = 334, β = -0.394), whereas greater step length variability was linked to lower GMV in the parahippocampal gyrus (t = 3.624, k = 76, β = -0.410). However, greater step time variability was associated with greater GMV in the supplementary motor area (t = 4.117, k = 274, β = 0.449). Gait velocity variability did not show any association with GMV. Furthermore, greater GMV in the supramarginal gyrus was associated with better working memory (β = 0.252, p = .008); greater GMV in the hippocampus was associated with better attentional/inhibitory control (β = 0.275, p = .010); and greater GMV in the parahippocampal gyrus was associated with better EF (β = 0.212, p = .035), attentional/inhibitory control (β = 0.241, p = .019), and working memory (β = 0.233, p = .027).
Discussion and implications: These results suggest that gait variability could be an indicator of neurocognitive decline in older adults. Understanding these associations is essential for early dementia detection and sheds light on the complex interplay between physical function, brain health, and cognitive function during aging.
期刊介绍：
Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
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