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Individuals with a COVID-19 history exhibit asymmetric gait patterns despite full recovery.
- Source :
-
Journal of biomechanics [J Biomech] 2022 May; Vol. 137, pp. 111098. Date of Electronic Publication: 2022 Apr 15. - Publication Year :
- 2022
-
Abstract
- COVID-19 is a multisystem infectious disease affecting the body systems. Its neurologic complications include -but are not limited to headache, loss of smell, encephalitis, and cerebrovascular accidents. Even though gait analysis is an objective measure of the neuro-motor system and may provide significant information about the pathophysiology of specific diseases, no studies have investigated the gait characteristics in adults after full recovery from COVID-19. This was a cross-sectional, controlled study that included 12 individuals (mean age, 23.0 ± 4.1 years) with mild-to-moderate COVID-19 history (COVD) and 20 sedentary controls (CONT; mean age, 24.0 ± 3.6 years). Gait was evaluated using inertial sensors on a motorized treadmill. Spatial-temporal gait parameters and gait symmetry were calculated by using at least 512 consecutive steps for each participant. The effect-size analyses were utilized to interpret the impact of the results. Spatial-temporal gait characteristics were comparable between the two groups. The COVD group showed more asymmetrical gait patterns than the CONT group in the double support duration symmetry (p = 0.042), single support duration symmetry (p = 0.006), loading response duration symmetry (p = 0.042), and pre-swing duration symmetry (p = 0.018). The effect size analyses of the differences showed large effects (d = 0.68-0.831). Individuals with a history of mild-to-moderate COVID-19 showed more asymmetrical gait patterns than individuals without a disease history. Regardless of its severity, the multifaceted long-term effects of COVID-19 need to be examined and the scope of clinical follow-up should be detailed.<br /> (Copyright © 2022 Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-2380
- Volume :
- 137
- Database :
- MEDLINE
- Journal :
- Journal of biomechanics
- Publication Type :
- Academic Journal
- Accession number :
- 35460936
- Full Text :
- https://doi.org/10.1016/j.jbiomech.2022.111098