Goal-kicking is an important skill in Australian Football (AF). This study examined whether kinematic differences exist between accurate and inaccurate goal-kicks and determined the relationships between technical factors and accuracy. Eighteen elite to sub-elite AF players performed 15 x 30 m goal-kicks on an AF training ground, with three-dimensional kinematics collected using the Xsens inertial measurement system (Xsens Technologies B.V., Enschede, the Netherlands). A general linear mixed modelling approach and regression-based statistics were employed to quantify differences between accurate and inaccurate goal kicks and the relationships between technical factors and accuracy. Accurate goal-kicks were characterised by a straighter approach line, with less kick-leg joint range of motion (knee and hip), lower linear velocity (centre of mass, foot speed), angular velocity (knee and shank), and less support-leg knee flexion during the kicking phase compared to inaccurate goal-kicks. At the end of the follow through, players produced greater ankle plantarflexion and a straighter-leg line in accurate goal-kicks. Findings in this research indicated that many factors interact with goal-kicking accuracy in AF, ranging from the players' approach line path, their support-leg mechanics, the kick-leg swing motion, to the final position of the kicker during their follow through.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657536 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0241969 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Smartphone image dataset for radish plant leaf disease classification from Bangladesh.
Data Brief
February 2025
Department of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Radishes, which are common root vegetables, are rich in vitamins and minerals, and contain low calories. This vegetable is known for its rapid growth. Nevertheless, the variety of leaf diseases where leaves get affected by various bacterial and fungal diseases can hinder the healthy growth of radish.
View Article and Find Full Text PDFHow to correct Ehrenfest nonadiabatic dynamics in open quantum systems: Ehrenfest plus random force (E + σ) dynamics.
J Chem Phys
January 2025
Department of Chemistry, School of Science, Westlake University, Hangzhou, Zhejiang 310024, China.
One key challenge in the study of nonadiabatic dynamics in open quantum systems is to balance computational efficiency and accuracy. Although Ehrenfest dynamics (ED) is computationally efficient and well-suited for large complex systems, ED often yields inaccurate results. To address these limitations, we improve the accuracy of the traditional ED by adding a random force (E + σ).
View Article and Find Full Text PDFPredicting survival in patients with severe heart failure: Risk score validation in the HELP-HF cohort.
Eur J Heart Fail
January 2025
Institute of Cardiology, ASST Spedali Civili, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Aims: Accurate selection of patients with severe heart failure (HF) who might benefit from advanced therapies is crucial. The present study investigates the performance of the available risk scores aimed at predicting the risk of mortality in patients with severe HF.
Methods And Results: The risk of 1-year mortality was estimated in patients with severe HF enrolled in the HELP-HF cohort according to the MAGGIC, 3-CHF, ADHF/NT-proBNP, and GWTG-HF risk scores, the number of criteria of the 2018 HFA-ESC definition of advanced HF, I NEED HELP markers, domains fulfilled of the 2019 HFA-ESC definition of frailty, the frailty index, and the INTERMACS profile.
External validation of the accuracy of cardiovascular risk prediction tools in psoriatic disease: a UK Biobank study.
Clin Rheumatol
January 2025
Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Science, School of Biological Sciences, Faculty of Biological Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Introduction: Risk prediction is important for preventing and managing cardiovascular disease (CVD). CVD risk prediction tools designed for the general population may be inaccurate in people with inflammatory diseases.
Objectives: To investigate the performance of four cardiovascular risk prediction tools (QRISK3, Framingham Risk Score, Reynolds Risk Score and SCORE) in psoriatic arthritis (PsA) and psoriasis.
Automatic tool for the reconciliation of serious adverse events for pharmacovigilance: design and implementation of Reconciliaid.
Ther Adv Drug Saf
January 2025
Department of Epidemiology, Biostatistics and Health Data, Centre Antoine Lacassagne, Nice, France.
Background: Reporting serious adverse events (SAEs) is crucial to reduce or avoid toxicities that can lead to major consequences for patient's health due to treatments tested in clinical trials. Its exhaustiveness is often inadequate, and we observe discrepancies between data published by pharmacovigilance organizations and clinical databases.
Objectives: While the process of reconciliation aims at reducing these differences, it remains a very time-consuming and imprecise task.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!