This study assesses the evolutionary leadership theory and the natural leadership instrument of Van Vugt and Ahuja (2011) in the context of youth elite football. The Evolutionary Leadership Theory is a comprehensive new way of looking at leadership that suggests environmental pressures influence the choice of who becomes the leader. The results revealed that the concept of natural leadership, as measured using the six natural leaders questionnaire, cannot be applied to the context of youth football. The preliminary data showed that natural leadership in youth sport requires a more basic framework of leadership consisting of communication, resources and focus on competition.
LINK
The present study examined differences in visual search and locomotor behavior among a group of skilled 10–12 year-old football players. The participants watched video clips of a 4-to-4 position game, presented on a large screen. The participants were asked to take part in the game by choosing the best position for the reception of the ball passed by one of the players in the clip. Participants’ visual search and locomotor behavior were collected continuously throughout the presentation of the clip. A within-group comparison was made based upon the participants’ interception score, i.e., more at the correct position. The findings show that the high-score group looked more to the ball area, while the players in the low-score group concentrated on the receiving player and on the hips/upper-body region of the passing player. The players in the high-score group covered a significantly greater distance compared to the low-score group. It was concluded that differences in visual search and locomotion behavior can be used as indicators for identifying talented junior football players.
The aim of the present study was to investigate if the presence of anterior cruciate ligament (ACL) injury risk factors depicted in the laboratory would reflect at-risk patterns in football-specific field data. Twenty-four female footballers (14.9 ± 0.9 year) performed unanticipated cutting maneuvers in a laboratory setting and on the football pitch during football-specific exercises (F-EX) and games (F-GAME). Knee joint moments were collected in the laboratory and grouped using hierarchical agglomerative clustering. The clusters were used to investigate the kinematics collected on field through wearable sensors. Three clusters emerged: Cluster 1 presented the lowest knee moments; Cluster 2 presented high knee extension but low knee abduction and rotation moments; Cluster 3 presented the highest knee abduction, extension, and external rotation moments. In F-EX, greater knee abduction angles were found in Cluster 2 and 3 compared to Cluster 1 (p = 0.007). Cluster 2 showed the lowest knee and hip flexion angles (p < 0.013). Cluster 3 showed the greatest hip external rotation angles (p = 0.006). In F-GAME, Cluster 3 presented the greatest knee external rotation and lowest knee flexion angles (p = 0.003). Clinically relevant differences towards ACL injury identified in the laboratory reflected at-risk patterns only in part when cutting on the field: in the field, low-risk players exhibited similar kinematic patterns as the high-risk players. Therefore, in-lab injury risk screening may lack ecological validity.
MULTIFILE
In societies where physical activity levels are declining, stimulating sports participation in youth is vital. While sports offer numerous benefits, injuries in youth are at an all-time high with potential long-term consequences. Particularly, women football's popularity surge has led to a rise in knee injuries, notably anterior cruciate ligament (ACL) injuries, with severe long-term effects. Urgent societal attention is warranted, supported by media coverage and calls for action by professional players. This project aims to evaluate the potential of novel artificial intelligence-based technology to enhance player monitoring for injury risk, and to integrate these monitoring pathways into regular training practice. Its success may pave the way for broader applications across different sports and injuries. Implementation of results from lab-based research into practice is hindered by the lack of skills and technology needed to perform the required measurements. There is a critical need for non-invasive systems used during regular training practice and allowing longitudinal monitoring. Markerless motion capture technology has recently been developed and has created new potential for field-based data collection in sport settings. This technology eliminates the need for marker/sensor placement on the participant and can be employed on-site, capturing movement patterns during training. Since a common AI algorithm for data processing is used, minimal technical knowledge by the operator is required. The experienced PLAYSAFE consortium will exploit this technology to monitor 300 young female football players over the course of 1 season. The successful implementation of non-invasive monitoring of football players’ movement patterns during regular practice is the primary objective of this project. In addition, the study will generate key insights into risk factors associated with ACL injury. Through this approach, PLAYSAFE aims to reduce the burden of ACL injuries in female football players.
Het gezamenlijk beleven van (top)sportwedstrijden vormt voor kwetsbare volwassenen, met een gering sociaal kapitaal, een platform om de voor hen zo noodzakelijke sociale netwerken op te bouwen en in stand te houden. Wedstrijdbezoek is echter afhankelijk van factoren zoals vitaliteit, lichamelijke en geestelijke gezondheid, en financiële draagkracht. Wanneer deze wegvallen dreigt sociaal isolement en eenzaamheid, met alle persoonlijke en maatschappelijke gevolgen van dien. Digitale innovaties op het gebied van immersieve Augmented Reality (AR) kunnen een oplossing zijn om volwassenen die mentaal, fysiek of financieel niet in staat zijn om sportevenementen zoals ererdivisievoetbal bij te wonen, toch een stadion- en wedstrijdbeleving te bieden. Hiermee kunnen ze toch aansluiting blijven vinden bij hun sociale netwerken. In het beoogde project wordt AR content doorontwikkeld, en geprojecteerd over de glazen van een AR bril, met als doel de stadionbeleving van thuiswedstrijden van BVO PSV zoveel mogelijk op te roepen. AR-layers bestaan onder meer uit een persoonlijke welkomstboodschap van spelers van het eerste elftal van PSV, virtuele looproutes die toegang geven tot het stadion, en gedrag en geluid van virtuele mede-toeschouwers of spelers en artiesten. De mate waarin AR de beleving verrijkt wordt vervolgens getoetst in een experiment, waarbij de beleving van een voetbalwedstrijd met en zonder AR verrijking wordt gemeten in een stadion-setting en in een thuissetting. De beleving wordt gemeten met fysiologische signalen zoals hartslagvariabiliteit en huidgeleiding, die een objectieve maat vormen van emotionele engagement tijdens het stadion- en wedstrijdbezoek. Daarnaast wordt ook een subjectieve belevingsmaat ontwikkeld en gebenchmarkt (de belevingsimpact-score). Zo kan worden vastgesteld of de beleving van een wedstrijd in een thuissetting die verrijkt is met AR dichter in de buurt komt van een daadwerkelijke stadionbeleving.
