理解运动员睡眠的复杂性：运动员睡眠环境建模的系统方法

Abstract Background Athlete sleep can be disrupted by sport- and non-sport-related factors. However, the interactions of these sleep-related factors are not well understood. Systems science approaches, such as causal loop diagramming (CLD), provide an opportunity to map these interactions. This project aimed to (1) develop a CLD of the athlete sleep system describing the interacting variables, (2) identify feedback loops and potential leverage points to optimise athlete sleep, and (3) demonstrate the applicability of a CLD to guide the development of a sleep monitoring framework. Methods A sys