ArticleFrontiers in bioengineering and biotechnology2024
Effects of aging-related muscle degeneration on dynamic stability during walking: a musculoskeletal computer simulation study.
Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Associations between knee extensor strength and gait characteristics derived from shoe-based wearable sensors in older women.Scientific reports · 2026Article
- Beyond Adiposity: Lean Mass and Bone Mineral Content as Markers of Muscle Weakness and Physical Performance in Older Adults.Medicina (Kaunas, Lithuania) · 2026Article
- The effect of age-related sensorimotor changes on step-down strategy: a predictive simulation study.Scientific reports · 2025Article
- Relationships between hand grip strength and gait parameters measured using a foot-mounted sensor in non-laboratory settings in older women.Scientific reports · 2025Article
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3 authors.
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Abstract
Introduction: Aging-related deficits in the physiological properties of skeletal muscles limit the control of dynamic stability during walking. However, the specific causal relationships between these factors remain unclear. This study evaluated the effects of aging-related deficits in muscle properties on dynamic stability during walking. Methods: Walking movements were simulated using two-dimensional musculoskeletal models consisting of 18 Hill-type muscles. To assess the effects of aging-related deficits in muscle function on dynamic stability during walking, five models with different muscle properties were created, namely young adult (YA) and older adult (OA) models, models with reduced maximum isometric muscle force, reduced maximum muscle contraction velocity, and prolonged muscle deactivation time (∆F, ∆V, and ∆T models, respectively). The margin of stability (MoS) was used as a measure of dynamic stability during walking. Results and Discussion: The MoS value of the OA model was greater than that of the YA model, and the ∆F model yielded a larger MoS value than those of the ∆V and ∆T models. Therefore, the OA model achieved a more dynamically stable state than the YA model and the ∆F model required a more stable state to sustain continuous walking compared to the ∆V and ∆T models. These findings indicate that aging-related deficits in muscle function limit the control of dynamic stability during walking with the degeneration of maximum isometric muscle force being the most influential factor. These findings could aid in the development of an intervention program to reduce the risk of falls in older adults effectively.
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