Learning to ride a bicycle is an important milestone in a child's life. Unfortunately, young traffic casualties remain overrepresented in traffic reports, with single-bicycle crashes as principal cause in children. This correlational, cross-sectional study focuses on the association between cycling skills and two intrinsic characteristics: general motor competence and body mass index (BMI). Therefore, general motor competence, BMI and practical cycling competence were measured in 9-year-old children (n = 40). Significant correlations were found between cycling skills and general motor competence (r = 0.434, p ≤ 0.01), and between cycling skills and BMI (r = - 0.400, p ≤ 0.05). A multiple regression analysis revealed that children's general motor quotient and BMI together predicted 19% of cycling skill score. These findings indicate that general motor competence and bicycle skills are not independent of each other stressing the importance of young children's characteristics when actively participating in traffic. In addition, BMI might be negatively associated with the development of cycling skills in children.
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http://dx.doi.org/10.1080/00140139.2014.961971 | DOI Listing |
Sci Rep
January 2025
Department of Sport Injuries and Corrective Exercises, Faculty of Physical Education and Sport Sciences, Shahid Bahonar University of Kerman, Kerman, Iran.
Individuals with intellectual disabilities (ID) often exhibit lower levels of physical fitness compared to the general population, including reduced strength, endurance, flexibility, and coordination. Dynamic neuromuscular stabilization (DNS) training can potentially improve the performance of adults with ID caused by weak motor skills due to a lack of desirable nerve growth during childhood and before puberty. Also, DNS training proposed to improve physical fitness in this population, but the effectiveness and durability of DNS training on specific fitness components have not been well-established.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Socio-Medical Sciences Department, Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Background: Rehabilitation technology is a growing field, but the sustainable implementation of these technologies, particularly in home settings, is lacking. The aim of this study was to explore the factors influencing the uptake of stroke rehabilitation technology among various stakeholders, including developers, healthcare professionals, individuals who had strokes, strategic experts, management and innovation staff, health insurers, and the National Health Care Institute.
Methods: In total, 22 semi-structured interviews were conducted with a purposive stakeholder sample.
Environ Monit Assess
January 2025
Technische Hochschule Nürnberg Georg Simon Ohm, Institute of Hydraulic Engineering and Water Resources Management, Nuremberg, Germany.
Through the mobilization of movable objects due to the extreme hydraulic conditions during a flood event, blockages, damage to infrastructure, and endangerment of human lives can occur. To identify potential hazards from aerial imagery and take appropriate precautions, a change detection tool (CDT) was developed and tested using a study area along the Aisch River in Germany. The focus of the CDT development was on near real-time analysis of point cloud data generated by structure from motion from aerial images of temporally separated surveys, enabling rapid and targeted implementation of measures.
View Article and Find Full Text PDFChilds Nerv Syst
January 2025
Department of Neurosurgery, Hospital de São José, ULS São José, Lisbon, Portugal.
Background: Subdural hematoma (SDH) typically occurs due to traumatic brain injury but can arise as a rare complication of procedures like endoscopic third ventriculostomy (ETV).
Case Presentation: We report an unusual case in a 9-year-old male with previous resection of a fourth-ventricle ependymoma at 2 years of age. Seven years post-surgery, he presented with worsening hydrocephalus and underwent ETV.
Sci Rep
January 2025
Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai, Japan.
Humans exploit motor synergies for motor control; however, how they emerge during motor learning is not clearly understood. Few studies have dealt with the computational mechanism for generating synergies. Previously, optimal control generated synergistic motion for the upper limb; however, it has not yet been applied to the high-dimensional whole-body system.
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