- Sports Performance and Training
- Sports injuries and prevention
- Sports Analytics and Performance
- Sport Psychology and Performance
- Genetics and Physical Performance
- Athletic Training and Education
- Sports and Physical Education Research
- Human Resource and Talent Management
- Children's Physical and Motor Development
Ghent University
2020-2024
HAN University of Applied Sciences
2020-2024
The main and interactive effect of biological maturity relative age upon physical performance in adolescent male soccer players was considered. Consistent with previous research, it hypothesised that participants greater or born earlier the selection year would perform better terms tests. This cross-sectional study consisted 84 aged between 11.3 16.2 years from a professional academy English Premier League. Date birth, height, weight, parental height were collected. Sprint, change direction,...
Background Equations predicting age at peak height velocity (APHV) are often used to assess somatic maturity and adjust training load accordingly. However, information on the intra-individual accuracy of APHV in youth athletes is not available.Aim The purpose this study predication equations for estimation individual male football players.Subjects methods Body dimensions were measured least every three months 17 elite players (11.9 ± 0.8 years baseline) from 2008–2009 through 2011–2012...
Well-designed talent programmes in sports with a focus on identification, orientation, development, and transfer support the engagement of young individuals pursuit elite performance. To facilitate these processes, an analysis task, environmental individual characteristics per sport is much needed. The aims this study were to 1) analyse whether unique profiles could be established by generic 2) discuss similarities differences for potential application development transfer. By means...
ObjectivesThe aim of this study was to investigate similarities and differences for 18 sports toward canoe/kayak in order identify donorsport and/or multisports, based upon a systematic analysis the task constraints per sport that are assumed be either crucial or less important from coaches' viewpoint.DesignDescriptive survey analysis.Methods891 certified coaches 19 valued (0–10; not at all-very important) 15 characteristics by questionnaire (Flemish Sports Compass) within their sport....
Sports are characterized by unique rules, environments, and tasks, but also share fundamental similarities with each other sport. Such between-sports parallels can be vital for optimizing talent transfer processes. This study aimed to explore between sports provide an objective basis clustering into families means of machine learning. An online survey was conducted, garnering responses from 1,247 coaches across 36 countries 34 sports. The gauged the importance (0 = not important 10...