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Shoes and Insoles

The Influence on Motor Tasks Related to Walking Gait Variability and Stability

Datos Bibliográficos

ID15467680
AutoresLuca Russo (0000-0003-1902-4830, University of L'Aquila), R Di Capua (0000-0003-3605-0993, Superconducting and other Innovative Materials and Devices Institute), Benedetto Arnone (University of L'Aquila), Marta Borrelli (0000-0002-6984-9323, University of Milan), Roberto Coppola (0000-0001-5798-0714, Università degli Studi di Enna Kore), Fabio Esposito (0000-0002-4420-2611, University of Milan), Johnny Padulo (0000-0002-4254-3105, University of Milan, autor de correspondencia)
Año2020
Volumen17
Número12
Páginas4569-4569
Fecha de publicación2020-06-25
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17124569
PMID32630373
OpenAlexW3037250386
IdiomaEN
Citas recibidas4
Referencias citadas3

The rhythmic control of the lower limb muscles influences the cycle-to-cycle variability during a walking task. The benefits of insoles, commonly used to improve the walking gait, have been little studied. Therefore, the aim of this study was to assess the walking gait variability and stability on different walking conditions (without shoes, WTS, with shoes, WS, with shoes and insoles, WSI) related to brain activity. Twelve participants randomly (WTS/WS/WSI) walked on a treadmill at 4 km/h for 10 min. Kinematic analysis (i.e., footstep and gait variability), brain activation (beta wave signal), rating of perceived exertion (RPE, CR-10 scale), and time domain measures of walking variability were assessed. The maximum Lyapunov exponent (LyE) on the stride cycle period's datasets was also calculated. Stride length and cycle calculated for all walking conditions were 61.59 ± 2.53/63.38 ± 1.43/64.09 ± 2.40 cm and 1.11 ± 0.03/1.14 ± 0.03/1.15 ± 0.04 s (F 1,10 = 4.941/ p = 0.01, F 1,10 = 4.938/ p = 0.012) for WTS, WS, WSI, respectively. Beta wave (F 1,10 = 564.201/ p = 0.0001) was higher in WTS compared to WS and WSI. Analysis of variance's (ANOVA) LyE showed a F 1,10 = 3.209/ p = 0.056, while post hoc analysis showed a significant effect between WS and WSI with p = 0.023, and nonsignificant effects between WTS and WS/WSI ( p = 0.070/0.607), respectively. Small perturbations of the foot can influence the control of gait rhythmicity by increasing the variability in a dissipative deterministic regimen

Gait · Gait cycle · Kinematics · Physical medicine and rehabilitation · Physical therapy · Physics · STRIDE · Treadmill · Balance, Gait, and Falls Prevention · Mathematics · Medicine · Muscle activation and electromyography studies · Sports Performance and Training

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Obras citantes distintas4
Citas por año1,33
Intervalo de citas2023 - 2026 (4)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 4
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