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Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
Published on: October 25, 2024
Daphne J Geerse1, Melvyn Roerdink2, Johan Marinus3
1Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands; Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, the Netherlands.
Assessing walking adaptability, including obstacle avoidance and walking speed, improves the identification of individuals at risk for future falls. This approach enhances fall prediction compared to generic fall-risk factors alone.
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