2022
DOI: 10.3389/fnhum.2022.850548
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Decreased Postural Complexity in Overweight to Obese Children and Adolescents: A Cross-Sectional Study

Abstract: IntroductionAlthough a few studies suggest that young overweight to obese children and adolescents (YO) may have impaired postural control compared to young normal-weight (YN) peers, little information exists about how these two groups differ in the quality of the underlying balance strategies employed. Hence, the aim of the present study was a first comprehensive examination of the structural complexity of postural sways in these two cohorts during quiet bilateral standing.MethodsNineteen YO secondary school … Show more

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Cited by 5 publications
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“…In the study of gait in sports biomechanics, kinematic data are often collected using kinematic data acquisition by infrared capture systems and inertial motion capture systems, kinetics are analyzed using dynamometers and plantar pressure, and muscle force is analyzed using electromyography ( Brodoehl et al, 2015 ; Wiesinger et al, 2022 ). Based on the fact that changes in kinetic and EMG-related data are important causes of alterations in gait kinematic characteristics, the external appearance of postural control imbalances can be found in kinematic analysis.…”
Section: Introductionmentioning
confidence: 99%
“…In the study of gait in sports biomechanics, kinematic data are often collected using kinematic data acquisition by infrared capture systems and inertial motion capture systems, kinetics are analyzed using dynamometers and plantar pressure, and muscle force is analyzed using electromyography ( Brodoehl et al, 2015 ; Wiesinger et al, 2022 ). Based on the fact that changes in kinetic and EMG-related data are important causes of alterations in gait kinematic characteristics, the external appearance of postural control imbalances can be found in kinematic analysis.…”
Section: Introductionmentioning
confidence: 99%
“…In this context, DFA has been employed to capture the degree and type of dependencies observed in CoP displacements (or fluctuations) both in the AP and ML directions ( Duarte and Zatsiorsky, 2001 ; Blázquez et al, 2009 ). The scaling exponent (DFA-α) computed under conditions of quiet standing has been used to express differences in postural control strategies of younger and older adults ( Duarte and Sernad, 2008 ), healthy individuals and individuals with health conditions ( Moretto et al, 2021 ), overweight and non-overweight children and adolescents ( Wiesinger et al, 2022 ), and between individuals with different motor skill levels ( Ko et al, 2018 ). Several studies that applied DFA on CoP time series during quiet standing in healthy adults and in individuals with a health condition revealed two ( Blásquez et al, 2009 ; Minamisawa et al, 2009 ) or three scaling regions ( Kuznetsov et al, 2013 ) in their participants’ respective diffusion plots.…”
Section: Introductionmentioning
confidence: 99%