The trunk’s contribution to postural control under challenging balance conditions
Autor: | Youri Duchene, Gérome C. Gauchard, Arthur Petel, Guillaume Mornieux, Philippe P. Perrin |
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Přispěvatelé: | Développement, Adaptation et Handicap. Régulations cardio-respiratoires et de la motricité (DevAH), Université de Lorraine (UL), Faculté des Sciences du Sport [Nancy] (STAPS Nancy), LAPEM - Laboratory for the Analysis of Posture, Equilibrium and Motor Function, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy) |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Adult
Male medicine.medical_specialty Kinematics Biophysics Electromyography Trunk control 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation medicine Erector spinae muscles Humans Orthopedics and Sports Medicine Force platform Postural Balance Balance (ability) Mathematics medicine.diagnostic_test Rehabilitation Torso [SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph] 030229 sport sciences Trunk Centre of force Healthy Volunteers Sagittal plane medicine.anatomical_structure Female Ankle Multijoint 030217 neurology & neurosurgery Neuromuscular activity |
Zdroj: | Gait and Posture Gait and Posture, Elsevier, 2021, 84, pp.102-107. ⟨10.1016/j.gaitpost.2020.11.020⟩ |
ISSN: | 0966-6362 |
Popis: | Background The double inverted pendulum model is imprecise when applied to studies of postural control. Although multijoint analyses have improved our understanding of how balance is maintained, the exact role of the trunk remains unclear. Research questions What is the trunk’s contribution in postural control with respect to the other joints and how do trunk muscles control trunk kinematics? Methods Thirty-six healthy athletes (handball, karate, long jump) performed a highly challenging balance task while the ground support was dynamically tilted in the sagittal plane. The center of force (CoF) as well as lower limb joint angles and the trunk-pelvis angle were respectively measured with a force platform and inertial measurement units. The amplitude, sway path and standard deviation of the CoF and the joint angles were then calculated. Electromyography was used to record the activity of the rectus abdominis, external obliquus, and erector spinae muscles. Multiple linear regressions were computed to determine the joints’ and muscles’ contributions (β-coefficients) in predicting CoF variables and trunk kinematics, respectively. Results The linear combination of joint kinematic variables accounted for between 33 % and 75 % of the variance in the CoF. The ankle had the highestβ and was a significant predictor of all CoF variables. The trunk yielded the second highest β-coefficient and was a significant predictor of the CoF sway path. Electromyography variables accounted for no more than 35 % of the variance in the trunk kinematics, and erector spinae activity was the only significant predictor. Significance The trunk appears to be the second most important element during this specific postural task, in the magnitude of body sway in particular. But neuromuscular control of these trunk processes is difficult to characterize with surface electromyography only. The trunk should be taken into account when seeking to improve overall postural control (e.g. during training, rehabilitation). |
Databáze: | OpenAIRE |
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