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Background: Task-specific training with single-session overground slip simulation has shown to reduce real-life falls in older adults.
Aims: The purpose of this study was to determine if fall-resisting behavior acquired from a single-session treadmill-based gait slip training could be retained to reduce older adults' falls in everyday living over a 6-month follow-up period.
Methods: 143 community-dwelling older adults (≥ 65 years old) were randomly assigned to either the treadmill-based gait slip training group (N = 73), in which participants were exposed to 40 unpredictable treadmill slips, or the control group (N = 70), in which participants walked on a treadmill at their comfortable speed. Participants reported their falls from the preceding year (through self-report history) and over the following 6 months (through fall diaries and monitored with phone calls).
Results: There was no main effect of time (retrospective vs. prospective fall) and training (treadmill training vs. control) on fall reduction (p > 0.05 for both). The survival distributions of event of all-cause falls or slip falls were comparable between groups (p > 0.05 for both).
Discussion: Unlike overground slip training where a single training session could significantly reduce everyday falls in a 6-month follow-up period, the results indicated that one treadmill-based gait slip training session by itself was unable to produce similar effects.
Conclusion: Further modification of the training protocol by increasing training dosage (e.g., number of sessions or perturbation intensity) may be necessary to enhance transfer to daily living. This study (NCT02126488) was registered on April 30, 2014.
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http://dx.doi.org/10.1007/s40520-022-02090-3 | DOI Listing |
Electromagn Biol Med
September 2025
Department of Mathematics and Statistics, Collage of Science, Taif University, Taif, Saudi Arabia.
This work investigates the electroosmotic peristaltic transport of a Casson (blood)-based hybrid nanofluid via an asymmetric channel embedded inside a porous medium. The model takes into consideration electric and magnetic field effects, Ohmic heating, as well as velocity and thermal slip conditions. The governing equations are simplified and solved by employing unsupervised sigmoid-based neural networks (SNNs), Fibonacci-based neural networks (FNNs), and their hybrid model (FSNNs) under the assumptions of low Reynolds number and long wavelength.
View Article and Find Full Text PDFSoft Matter
August 2025
Gulliver UMR CNRS 7083, ESPCI Paris, Université PSL, 75005 Paris, France.
In equilibrium, commensurability between sliding surfaces underpins our understanding of nanoscale friction and yielding in crystals. However, these concepts have only recently begun to be imported into the realm of active matter. Here, we develop an experimental platform and a theoretical description for active colloids confined and self-assembled into small crystals.
View Article and Find Full Text PDFTop Stroke Rehabil
August 2025
Department of Physical Therapy, University of Illinois, Chicago, IL, USA.
Background: A single session of perturbation-based training (PBT) reduces fall-risk and enhances reactive balance control in people with stroke (PwS). However, its long-term effect on clinical outcomes remains unclear. This study examined the retention effects of a single session of overground walk-PBT on clinical measures of body structure and function, activity limitation, and participation restriction in PwS.
View Article and Find Full Text PDFAdv Sci (Weinh)
August 2025
The State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun, 130012, China.
Aramid nanofibers (ANFs) have emerged as promising building blocks for bioinspired materials due to their exceptional mechanical strength and chemical stability. However, their widespread application has been hindered by the limitations of conventional top-down synthesis from Kevlar, which is costly, inefficient, and offers limited control over molecular structure. Addressing this challenge, a cost-effective, bottom-up strategy is reported to fabricate limpet-inspired composite fibers by combining the self-assembly of ANFs from poly(paraphenylene terephthalamide) polyanions with in situ iron oxide mineralization.
View Article and Find Full Text PDFIEEE Trans Med Robot Bionics
May 2025
Department of Mechanical Engineering and the Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, 30332 USA.
Fall incidents due to slips are some of the most common causes of injuries for industry workers and older adults, motivating research to assist balance recovery following slips. To assist balance recovery during a slip, a detection algorithm that can work with an assistive device, such as an exoskeleton, needs to be able to detect slips rapidly after onset, which remains a critical gap in the field. Here, we compared the ability of linear discriminant analysis (LDA), extreme gradient boosting (XGBoost), and convolutional neural networks (CNN) to detect slip using only native sensors on a hip exoskeleton.
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