Key result
A causal loop model for lower extremity injuries was developed using System Dynamics methodology to synthesize risk factors and examine their complex, nonlinear interactions.
Why the study?
Current knowledge on risk factors of acute noncontact lower extremity injuries relies on static, simplistic models, with limited complex systems research on predicting and managing these injuries.
Proposes a System Dynamics causal loop model to better understand and predict the complex, nonlinear risk factors associated with lower extremity injuries in team sports.
Model offers framework for nonlinear injury risks in athletes; hypothesis-generating and should not yet change practice.
Acute noncontact Lower Extremity (LE) injuries constitute a significant problem in team sports. Despite extensive research, current knowledge on the risk factors of LE injuries is limited to static simplistic models of instantaneous cause and effect relationships ignoring the time dimension and the embedded complexity of LE injuries. Even though complex systems approaches have been used in various cases to improve policy and intervention effectiveness, there is limited research on predicting and managing LE injuries. This creates an opportunity to fill the gap in the current literature by applying the System Dynamics (SD) methodology to model LE injuries. The proposed approach allows for synthesizing risk factors and examining their interaction. This paper makes the first step towards such an approach by developing a causal loop model revealing the etiology of LE injuries. A causal loop model for LE injuries is developed via an extensive literature review and brainstorming with experts. In contrast to the traditional static approaches, the proposed model reveals some of the complexity and nonlinear relationships of the various sports injury risk factors. The derived causal loop model may then be used to quantify these interactions and develop a simulation model. This will be achieved by operationalizing and incorporating the main risk factors that impact LE injuries in an integrated sports injury prediction model. In this way, plausible strategies for preventing LE injuries can be tested prior implementation and thereby achieve optimization of intervention programs.
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Liveris et al. (2023) studied Lower Extremity (LE) injuries in team sports. System Dynamics (SD) methodology vs. Traditional static approaches was evaluated on Development of a causal loop model. A causal loop model for lower extremity injuries was developed using System Dynamics methodology to synthesize risk factors and examine their complex, nonlinear interactions.
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