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  3. Does cognitive performance explain the gap between physiological and perceived fall-risk in people with multiple sclerosis?
 

Does cognitive performance explain the gap between physiological and perceived fall-risk in people with multiple sclerosis?

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BORIS DOI
10.48620/85582
Publisher DOI
10.1016/j.msard.2025.106322
PubMed ID
39923414
Description
Background
Cognitive impairment is linked with increased risk of falls in people with multiple sclerosis (pwMS), but it is not clear whether cognitive performance may help to account for the discordance between fall-risk due to actual physiological functioning and the individual's perception of their fall-risk. This study examined the relationship between cognitive performance and the concordance/discordance of physiological and perceived fall-risk in pwMS.Methods
In this single-center cross-sectional analysis of 201 pwMS, proxies for physiological (gait speed) and perceived (Modified Falls Efficacy Scale) fall-risk were collected. Participants were categorized into 4 groups using established cut-off values: high physiological - high perceived (Hphy-Hper), high physiological - low perceived (Hphy-Lper), low physiological - low perceived (Lphy-Lper), and low physiological - high perceived (Lphy-Hper) fall-risk. Cognitive performance was evaluated using the NeuroTrax computerized cognitive battery, which generates a global cognitive score (GCS) as well as scores for individual cognitive domains.Results
Overall, 27.4 % of participants exhibited a discordance between physiological and perceived fall-risk. Individuals with discordant fall-risk did not have worse cognitive scores than individuals with concordant fall-risk, whether GCS or individual cognitive domains. However, among concordant groups, participants in the Hphy-Hper group had worse cognitive scores (GCS) as well as information processing, attention, motor skills, executive function and visual spatial domain scores than participants in the Lphy-Lper group.Conclusion
In this study, one in 4 pwMS had a discordance between their physiological and perceived fall-risk. This discordance was not explained by cognitive performance.
Date of Publication
2025-03
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Keyword(s)
Accidental falls
•
Cognitive dysfunction
•
Multiple sclerosis
•
Rehabilitation
Language(s)
en
Contributor(s)
Zanotto, Tobia
Pradeep Kumar, Danya
Golan, Daniel
Wilken, Jeffrey
Doniger, Glen M
Zarif, Myassar
Bumstead, Barbara
Buhse, Marijean
Weller, Joanna
Morrow, Sarah A
Penner, Iris-Katharina
Clinic of Neurology
Hancock, Laura
Covey, Thomas J
Ofori, Edward
Peterson, Daniel S
Motl, Robert W
Bogaardt, Hans
Barrera, Marissa
Bove, Riley
Karpatkin, Herbert
Sosnoff, Jacob J
Gudesblatt, Mark
Additional Credits
Clinic of Neurology
Series
Multiple Sclerosis and Related Disorders
Publisher
Elsevier
ISSN
2211-0356
2211-0348
Access(Rights)
open.access
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