The relationship between sleep quality and gait in people with multiple sclerosis: A pilot study
- PMID: 38577391
- PMCID: PMC10988269
- DOI: 10.1142/S1013702523500129
The relationship between sleep quality and gait in people with multiple sclerosis: A pilot study
Abstract
Background: Gait deficits are common among people with multiple sclerosis (PwMS). Therefore, investigating factors that may influence walking in PwMS is important. Previous studies in older adults and other neurological populations demonstrated the relationship between sleep quality and gait performance. Despite the fact that the prevalence of poor sleep quality is very high among PwMS, little is known about the effect of sleep quality on gait among PwMS.
Objective: This study aimed to explore the relationship between sleep quality and gait performance in PwMS.
Methods: Forty-one PwMS participated in the study between February 2019 and December 2019. Participants were asked to walk at a self-selected speed over 10 m with an inertial measurement unit (IMU) attached over the back. Walking speed, step length (left and right), and step time were calculated. Sleep was estimated objectively using a wrist-worn triaxle-accelerometer; the derived parameters were sleep efficiency (SE) and the number of awakening after sleep onset (NASO).
Results: SE significantly correlated with step length (). Furthermore, the NASO significantly correlated with gait speed (), and step-time (). These correlations remained significant even after adjusting for age and disease duration.
Conclusion: We observed that when corrected for disease duration and age there were relationships between NASO and SE to gait parameters; these observations warrant further investigations.
Keywords: Multiple sclerosis; gait; sleep quality.
© 2024, Hong Kong Physiotherapy Association.
Conflict of interest statement
The authors report there are no conflict of interests to declare. The authors would like to acknowledge all the participants of the study.
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References
-
- Nilsagård Y, Gunnarsson LG, Denison E. Self-perceived limitations of gait in persons with multiple sclerosis. Adv Physiother 2007;9(3):136–43.
-
- Motl RW, Pilutti L, Sandroff BM, Dlugonski D, Sosnoff JJ, Pula JH. Accelerometry as a measure of walking behavior in multiple sclerosis. Acta Neurol Scand 2013;127(6):384–90. - PubMed
-
- Sosnoff JJ, Sandroff BM, Motl RW. Quantifying gait abnormalities in persons with multiple sclerosis with minimal disability. Gait Posture 2012;36(1):154–6. - PubMed
-
- Sosnoff JJ, Weikert M, Dlugonski D, Smith DC, Motl RW. Quantifying gait impairment in multiple sclerosis using GAITRiteTM technology. Gait Posture 2011;34(1):145–7. - PubMed
-
- Givon U, Zeilig G, Achiron A. Gait analysis in multiple sclerosis: Characterization of temporal–spatial parameters using GAITRite functional ambulation system. Gait Posture 2009;29(1):138–42. - PubMed
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