Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis

Ibrahim A, Adler W, Gaßner H, Rothhammer V, Kluge F, Eskofier B (2023)


Publication Type: Journal article

Publication year: 2023

Journal

Book Volume: 177

Article Number: 105145

DOI: 10.1016/j.ijmedinf.2023.105145

Abstract

Background: Gait and cognition impairments are common problems among People with Multiple Sclerosis (PwMS). Previous studies have investigated cross-sectional associations between gait and cognition. However, there is a lack of evidence regarding the longitudinal association between these factors in PwMS. Therefore, the objective of this study was to explore this longitudinal relationship using smartphone-based data from the Floodlight study. Methods: Using the publicly available Floodlight dataset, which contains smartphone-based longitudinal data, we used a linear mixed model to investigate the longitudinal relationship between cognition, measured by the Symbol Digit Modalities Test (SDMT), and gait, measured by the 2 Minute Walking test (2 MW) step count and Five-U-Turn Test (FUTT) turning speed. Four mixed models were fitted to explore the association between: 1) SDMT and mean step count; 2) SDMT and variability of step count; 3) SDMT and mean FUTT turning speed; and 4) SDMT and variability of FUTT turningt speed. Results: After controlling for age, sex, weight, and height, there were significant correlations between SDMT and the variability of 2 MW step count, the mean of FUTT turning speed. No significant correlation was observed between SDMT and the 2 MW mean step count. Significance: Our findings support the evidence that gait and cognition are associated in PwMS. This may support clinicians to adjust treatment and intervention programs that address both gait and cognitive impairments.

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How to cite

APA:

Ibrahim, A., Adler, W., Gaßner, H., Rothhammer, V., Kluge, F., & Eskofier, B. (2023). Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis. International Journal of Medical Informatics, 177. https://doi.org/10.1016/j.ijmedinf.2023.105145

MLA:

Ibrahim, Alzhraa, et al. "Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis." International Journal of Medical Informatics 177 (2023).

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