Falls are the leading cause of nonfatal injuries in children and elderly. To understand the causes of falling in these populations, fundamental knowledge of how ageing affects balance control is of utmost importance. In general, two biomechanical mechanisms allow people to control balance; 1.moving the center of pressure within the base of support using ankle muscle activation; 2.counter-rotating segments around the center of mass. To understand how balance is controlled differently across the lifespan, 4 age groups (each N=20) will be compared to each other; i.e. prepubertal children (6-9y), postpubertal children (15-17y), young adults (18-24y), healthy non-falling older adults (65-80y). . A force plate platform combined with 3D movement registration will be used to determine the biomechanical balance control strategy across the lifespan during unperturbed and perturbed standing. The innovative but focused scope of this study could provide a breakthrough in our biomechanical understanding of balance control and, in particular, the changes in limitations of balance control in childhood and an ageing (fall-prone) population. The gained fundamental knowledge could lead to unprecedented insights in the causes of falling across the lifespan and in possible targets for intervention.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
41
The unstable surface will be created with a balance board consisting of a wooden board mounted on a section of a cylinder, creating an unstable support in the sagittal plane or in the frontal plane. The participants will stand on three balance boards, varying the height of the surface of the board above the point of contact (15, 17 and 19 cm respectively). The radius of the cylinder will kept constant at 24 cm. The standing surface will be 48cm x 48 cm
Hasselt University
Hasselt, Belgium
Balance Control; centre of mass acceleration based on 3D movement registration and ground reaction forces
Centre of mass acceleration (in kg.m2/s2) (calculations based on; van Dieen JH, van Leeuwen M, Faber GS. Learning to balance on one leg: motor strategy and sensory weighting. J Neurophysiol. 2015;114(5):2967-82.)
Time frame: day 1
Contribution of the ankle strategy to centre of mass acceleration based on 3D movement registration and ground reaction forces
The contribution of the ankle strategy (difference between the centre of pressure and the centre of mass (in kg.m2/s2)) to centre of mass acceleration in the sagittal and frontal plane will be calculated based on total body kinematics (SIMI motion - 3D movement registration) and kinetics (AMTI force plate) (calculations based on; van Dieen JH, van Leeuwen M, Faber GS. Learning to balance on one leg: motor strategy and sensory weighting. J Neurophysiol. 2015;114(5):2967-82.)
Time frame: day 1
Contribution of the counter-rotation mechanism to centre of mass acceleration based on 3D movement registration and ground reaction forces
The contribution of the counter-rotation mechanism (change in angular momentum (in kg.m2/s2)) to centre of mass acceleration in the sagittal and frontal plane will be calculated based on total body kinematics (SIMI motion - 3D movement registration) and kinetics (AMTI force plate) (calculations based on; van Dieen JH, van Leeuwen M, Faber GS. Learning to balance on one leg: motor strategy and sensory weighting. J Neurophysiol. 2015;114(5):2967-82.))
Time frame: day 1
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