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Gait Variability at Different Walking Speeds

Gait variability (GV) is a crucial measure of inconsistency of muscular activities or body segmental movements during repeated tasks. Hence, GV might serve as a relevant and sensitive measure to quantify adjustments of walking control. However, it has not been clarified whether GV is associated with...

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Autores principales: Padulo, Johnny, Rampichini, Susanna, Borrelli, Marta, Buono, Daniel Maria, Doria, Christian, Esposito, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660777/
https://www.ncbi.nlm.nih.gov/pubmed/37987494
http://dx.doi.org/10.3390/jfmk8040158
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author Padulo, Johnny
Rampichini, Susanna
Borrelli, Marta
Buono, Daniel Maria
Doria, Christian
Esposito, Fabio
author_facet Padulo, Johnny
Rampichini, Susanna
Borrelli, Marta
Buono, Daniel Maria
Doria, Christian
Esposito, Fabio
author_sort Padulo, Johnny
collection PubMed
description Gait variability (GV) is a crucial measure of inconsistency of muscular activities or body segmental movements during repeated tasks. Hence, GV might serve as a relevant and sensitive measure to quantify adjustments of walking control. However, it has not been clarified whether GV is associated with walking speed, a clarification needed to exploit effective better bilateral coordination level. For this aim, fourteen male students (age 22.4 ± 2.7 years, body mass 74.9 ± 6.8 kg, and body height 1.78 ± 0.05 m) took part in this study. After three days of walking 1 km each day at a self-selected speed (SS) on asphalt with an Apple Watch S. 7 (Apple(TM), Cupertino, CA, USA), the participants were randomly evaluated on a treadmill at three different walking speed intensities for 10 min at each one, SS − 20%/SS + 20%/ SS, with 5 min of passive recovery in-between. Heart rate (HR) was monitored and normalized as %HR(max), while the rate of perceived exertion (RPE) (CR-10 scale) was asked after each trial. Kinematic analysis was performed, assessing the Contact Time (CT), Swing Time (ST), Stride Length (SL), Stride Cycle (SC), and Gait Variability as Phase Coordination Index (PCI). RPE and HR increased as the walking speed increased (p = 0.005 and p = 0.035, respectively). CT and SC decreased as the speed increased (p = 0.0001 and p = 0.013, respectively), while ST remained unchanged (p = 0.277). SL increased with higher walking speed (p = 0.0001). Conversely, PCI was 3.81 ± 0.88% (high variability) at 3.96 ± 0.47 km·h(−1), 2.64 ± 0.75% (low variability) at SS (4.94 ± 0.58 km·h(−1)), and 3.36 ± 1.09% (high variability) at 5.94 ± 0.70 km·h(−1) (p = 0.001). These results indicate that while the metabolic demand and kinematics variables change linearly with increasing speed, the most effective GV was observed at SS. Therefore, SS could be a new methodological approach to choose the individual walking speed, normalize the speed intensity, and avoid a gait pattern alteration.
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spelling pubmed-106607772023-11-08 Gait Variability at Different Walking Speeds Padulo, Johnny Rampichini, Susanna Borrelli, Marta Buono, Daniel Maria Doria, Christian Esposito, Fabio J Funct Morphol Kinesiol Article Gait variability (GV) is a crucial measure of inconsistency of muscular activities or body segmental movements during repeated tasks. Hence, GV might serve as a relevant and sensitive measure to quantify adjustments of walking control. However, it has not been clarified whether GV is associated with walking speed, a clarification needed to exploit effective better bilateral coordination level. For this aim, fourteen male students (age 22.4 ± 2.7 years, body mass 74.9 ± 6.8 kg, and body height 1.78 ± 0.05 m) took part in this study. After three days of walking 1 km each day at a self-selected speed (SS) on asphalt with an Apple Watch S. 7 (Apple(TM), Cupertino, CA, USA), the participants were randomly evaluated on a treadmill at three different walking speed intensities for 10 min at each one, SS − 20%/SS + 20%/ SS, with 5 min of passive recovery in-between. Heart rate (HR) was monitored and normalized as %HR(max), while the rate of perceived exertion (RPE) (CR-10 scale) was asked after each trial. Kinematic analysis was performed, assessing the Contact Time (CT), Swing Time (ST), Stride Length (SL), Stride Cycle (SC), and Gait Variability as Phase Coordination Index (PCI). RPE and HR increased as the walking speed increased (p = 0.005 and p = 0.035, respectively). CT and SC decreased as the speed increased (p = 0.0001 and p = 0.013, respectively), while ST remained unchanged (p = 0.277). SL increased with higher walking speed (p = 0.0001). Conversely, PCI was 3.81 ± 0.88% (high variability) at 3.96 ± 0.47 km·h(−1), 2.64 ± 0.75% (low variability) at SS (4.94 ± 0.58 km·h(−1)), and 3.36 ± 1.09% (high variability) at 5.94 ± 0.70 km·h(−1) (p = 0.001). These results indicate that while the metabolic demand and kinematics variables change linearly with increasing speed, the most effective GV was observed at SS. Therefore, SS could be a new methodological approach to choose the individual walking speed, normalize the speed intensity, and avoid a gait pattern alteration. MDPI 2023-11-08 /pmc/articles/PMC10660777/ /pubmed/37987494 http://dx.doi.org/10.3390/jfmk8040158 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Padulo, Johnny
Rampichini, Susanna
Borrelli, Marta
Buono, Daniel Maria
Doria, Christian
Esposito, Fabio
Gait Variability at Different Walking Speeds
title Gait Variability at Different Walking Speeds
title_full Gait Variability at Different Walking Speeds
title_fullStr Gait Variability at Different Walking Speeds
title_full_unstemmed Gait Variability at Different Walking Speeds
title_short Gait Variability at Different Walking Speeds
title_sort gait variability at different walking speeds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660777/
https://www.ncbi.nlm.nih.gov/pubmed/37987494
http://dx.doi.org/10.3390/jfmk8040158
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