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Background: Gait adaptability training programs to prevent falls in healthy older adults can be proposed in virtual reality. The development of training programs requires the characterization of the target population.
Research Question: Before proposing an innovative training program to develop gait adaptability behavior of healthy older adults in fully immersive virtual reality, we had to compare gait adaptability behavior between healthy older adults and young adults in virtual reality.
Methods: Twenty healthy older adults (with no fall history) and twenty young adults performed a goal-directed locomotion task in a totally secure virtual reality set-up. Gait adaptability behavior was investigated via a set of measures taking into account gait speed, pointing accuracy, and the evolution of the relationship between the participant and the environment through both inter-trial and trial-by-trial analyses. Mann-Whitney tests and linear regressions were performed to determine potential age differences.
Results: The results reveal some common and specific strategies in gait adaptability behavior between healthy older and young adults. In both populations, successive gait adjustments depend on the state of the agent-environment system. However, older adults walked more slowly than young adults (p < .001) with a greater coupling at the end of the target approach (p = .003).
Significance: In the context of fall prevention in healthy older adults, fully immersive VR appears as a relevant tool to propose relevant gait training programs to improve gait adjustments.
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http://dx.doi.org/10.1016/j.gaitpost.2024.02.009 | DOI Listing |
Mult Scler Relat Disord
September 2025
Department of Psychology, Wayne State University, Detroit, MI, 48202, USA; Institute of Gerontology, Wayne State University, Detroit, MI, 48202, USA; Translational Neuroscience Program, Wayne State University, Detroit, MI, 48201, USA. Electronic address:
The ability to navigate through one's environment is crucial for maintaining independence in daily life and depends on complex cognitive and motor functions that are vulnerable to decline in persons with Multiple Sclerosis (MS). While previous research suggests a role for mobility in the physical act of navigation, it remains unclear to what extent mobility impairment and perceptions of mobility constraints may modify wayfinding and the recall of environment details in support of successful navigation. Therefore, this study examined the relations among clinical mobility function, concern about falling, and recall of environment details in a clinical sample of MS.
View Article and Find Full Text PDFJ Biomech
August 2025
Lampe Joint Department of Biomedical Engineering, UNC Chapel Hill & NC State University, Chapel Hill, NC, USA. Electronic address:
Walking is essential for maintaining independence and quality of life, yet aging may impair the neuromuscular function required for stable gait over time. This study sought to quantify age-related differences in step-to-step control during prolonged walking using detrended fluctuation analysis (DFA). We hypothesized that step-to-step changes in step length and step width would exhibit reduced temporal persistence over time, with more pronounced effects in older than in younger adults.
View Article and Find Full Text PDFRev Neurol
August 2025
Servicio de Daño Cerebral, Hospital Aita Menni, 48010 Bilbao, Bizkaia, Spain.
Introduction And Objectives: To evaluate the impact of intensive gait training on gross motor function using the pediatric exoskeleton ATLAS 2030, as well as to determine the post-intervention maintenance of effects in children with cerebral palsy (CP).
Subjects And Methods: A non-randomized controlled prospective study. Thirteen children with CP participated.
J Exp Biol
September 2025
Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE, USA.
Effective locomotion requires physiological systems to adapt to instabilities. While gait perturbation recovery often appears rapid, it is possible that longer-lasting effects may be present. Therefore, this study explored recovery trends of gait dynamics following an experimenter-induced perturbation.
View Article and Find Full Text PDFGait Posture
August 2025
Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Background: During pregnancy, significant physiological, morphological, and hormonal changes profoundly affect women's biomechanics, increasing the risk of falls and musculoskeletal complaints, especially in the third trimester. To understand movement adaptations and musculoskeletal disorders in pregnant women, kinetic analysis using pregnant-specific multi-segment or musculoskeletal models is essential. This review aims to evaluate the development, applications and limitations of such models intended for kinetic analysis in pregnancy.
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