There is a dearth of suitable metrics capable of objectively quantifying motor competence. Further, objective movement quality characteristics during free play have not been investigated in pre-school children. The aims of this study were to characterize children's free play physical activity and investigate how gait quality characteristics cluster with free play in pre-school children (3-5 years old). Sixty-one children (39 boys; 4.3 ± 0.7 years, 1.04 ± 0.05 m, 17.8 ± 3.2 kg) completed the movement assessment battery for children and took part in free play while wearing an ankle- and hip-mounted accelerometer. Characteristics of movement quality were profiled using a clustering algorithm. Spearman's rho and the Mann-Whitney U tests were used to assess relationships between movement quality characteristics and motor competence classification differences in integrated acceleration and spectral purity, respectively. Significant differences were found between motor competency classifications for spectral purity and integrated acceleration (p < .001). Spectral purity was hierarchically clustered with motor competence and integrated acceleration. Significant positive correlations were found between spectral purity, integrated acceleration and motor competence (p < .001). This is the first study to report spectral purity in pre-school children and the results suggest that the underlying frequency component of movement is clustered with motor competence.
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http://dx.doi.org/10.1080/00222895.2017.1375454 | DOI Listing |
J Clin Med
December 2024
Department of Musical, Plastic and Corporal Expression, University of Jaén, 23071 Jaén, Spain.
: Eye-foot coordination is essential in sports and daily life, enabling the synchronization of vision and movement for tasks like ball control or crossing obstacles. This study aimed to examine both the validity and reliability of an innovative eye-foot coordination (EFC) test in a dual-task paradigm in children aged 6-11 years and the capacity of this test to discriminate between sex and age. : A total of 440 schoolchildren aged 6-11 years participated in this cross-sectional study.
View Article and Find Full Text PDFBMC Sports Sci Med Rehabil
January 2025
Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education in Katowice, Katowice, Poland.
Background: This qualitative analysis aimed to: identify the physical and physiological factors that characterize elite WKF kumite and kata athletes, identify testing protocols that are used to examine the above mentioned profiles of WKF karatekas and indicate the variables that are significant for elite-level performance.
Methods: A search of electronic databases (PubMed, EBSCO, Scopus) was conducted to identify all studies on physical and physiological profile in elite karatekas from 2012 to 2024. A JBI Qualitative Data Extraction Tool for systematic reviews of qualitative evidence was fulfilled in order to determine which variables should be extracted.
Cerebellum
January 2025
Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
The cerebellum is involved in non-motor processing, supported by topographically distinct cerebellar activations and closed-loop circuits between the cerebellum and the cortex. Disruptions to cerebellar function may negatively impact prefrontal function and processing. Cerebellar resources may be important for offloading cortical processing, providing crucial scaffolding for normative performance and function.
View Article and Find Full Text PDFGene Ther
January 2025
Departments of Pediatrics and Neurology, Emory University, Atlanta, 30322, Georgia.
Spinal muscular atrophy (SMA) is a progressive disease that affects motor neurons, with symptoms usually starting in infancy or early childhood. Recent breakthroughs in treatments targeting SMA have improved both lifespan and quality of life for infants and children with the disease. Given the impact of these treatments, it is essential to develop methods for managing treatment-induced changes in disease characteristics.
View Article and Find Full Text PDFSci Rep
January 2025
Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease affecting motor neurons. Although genes causing familial cases have been identified, those of sporadic ALS, which occupies the majority of patients, are still elusive. In this study, we adopted machine learning to build binary classifiers based on the New York Genome Center (NYGC) ALS Consortium's RNA-seq data of the postmortem spinal cord of ALS and non-neurological disease control.
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