## 4 Discussion  
The HI-CLD formulated in this study comprehensively captures the complexity of HI etiology and offers insights to enhance injury prevention strategies and policies. To the best of our knowledge, this is the first study to integrate HI risk factors into a nonlinear model, providing a holistic analysis of the HI etiology system. While previous research has proposed more generic models for understanding and preventing sports injuries, HI-CLD represents a significant advancement by delineating the specific interactions of risk factors through both positive and negative links [31; 50; 97; 98]. The dynamic complexity of the HI injury risk analyzed in the HI-CLD may explain why previous studies failed to find isolated predictors of HI injury [5; 11; 30]. The main weaknesses of these procedures are twofold. First, the majority of the relevant literature examines a complex phenomenon using simple linear regression methods that conceal the nonlinear association between the risk factors [11]. Second, examining athletes only at the beginning of the season does not consider the dynamic changes in factors during the season [30]. Previous studies [5] emphasized the significance of examining risk factor interactions. In line with these assumptions, the HI-CLD proves that HI is a highly complex phenomenon, with 65 interacting factors affecting the risk of injury. An important conclusion of the GMB process illustrated in the HI-CLD is that many factors have an indirect effect on the risk of HI. This may explain why frequently examining factors such as strength measures fail to be directly associated with future HIs [5]. The HI-CLD can guide injury prevention strategies by highlighting the importance of inter-professional collaboration. Injury prevention is a multifaceted endeavor that requires collaboration among various specialists who work closely with athletes in professional team settings. These specialists included coaches, fitness coaches, medical teams (orthopedics and physiotherapists), and sports psychologists. This study includes in the GMB workshopsstakeholders working in the team's medical staff. Despite the efforts to include all the professionals above-mentioned in GMB workshops, this did not become feasible. Each profession contributes expertise to different aspects of HI-CLD, exerting influence over the entire system. For instance, the HI-CLD includes aspects of the athlete's psychological condition, which is the main responsibility of the sports psychologist; previous injuries and the impact on neuromuscular coordination, which is the main responsibility of the medical staff; and workload characteristics, which are the main responsibilities of coaches. Consequently, effective cooperation among team staff is essential to accurately predict and prevent injuries [18; 42]. Previous research has emphasized the importance of collaboration between coaching and medical staff to reduce HI rates [18; 42]. Furthermore, while injury prevention programs have demonstrated significant success in lowering HI rates, their efficacy is contingent on athlete compliance and the adoption of evidence-based methods by team staff [56; 99; 100]. Further, as extensively discussed in previous research and opinion papers [30; 31; 101; 102], the athlete is a complex adaptive system, and its injury profile may change significantly during the season [30]. According to this, components described in the HI-CLD, such as workload, neuromuscular coordination, possible micro-injuries, fatigue, and psychological mood, interact and modify their properties, thereby affecting the athlete's overall condition. Owing to this ongoing dynamic modification of an athlete's characteristics, understanding when athletes reach an at-risk-for-injury stage during the season is crucial for HI prevention [30]. Therefore, frequent data collection describing the athlete's condition at different times during the season is essential [30].