Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
Wu Tsai Female Athlete Program, Division of Sports Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.
Br J Sports Med. 2023 Sep;57(17):1098-1108. doi: 10.1136/bjsports-2023-107335.
The 2023 International Olympic Committee (IOC) consensus statement on Relative Energy Deficiency in Sport (REDs) notes that exposure to low energy availability (LEA) exists on a continuum between and LEA, with a range of potential effects on both health and performance. However, there is variability in the outcomes of LEA exposure between and among individuals as well as the specific manifestations of REDs. We outline a framework for a 'systems biology' examination of the effect of LEA on individual body systems, with the eventual goal of creating an integrated map of body system interactions. We provide a template that systematically identifies characteristics of LEA exposure (eg, magnitude, duration, origin) and a variety of moderating factors (eg, medical history, diet and training characteristics) that could exacerbate or attenuate the type and severity of impairments to health and performance faced by an individual athlete. The REDs Physiological Model may assist the diagnosis of underlying causes of problems associated with LEA, with a personalised and nuanced treatment plan promoting compliance and treatment efficacy. It could also be used in the strategic prevention of REDs by drawing attention to scenarios of LEA in which impairments of health and performance are most likely, based on knowledge of the characteristics of the LEA exposure or moderating factors that may increase the risk of harmful outcomes. We challenge researchers and practitioners to create a unifying and dynamic physiological model for each body system that can be continuously updated and mapped as knowledge is gained.
2023 年国际奥委会(IOC)关于运动相关能量不足(REDs)的共识声明指出,低能量状态(LEA)的暴露存在于 和 LEA 之间的连续体中,对健康和表现都有潜在的影响。然而,LEA 暴露对个体之间和个体内部的影响以及 REDs 的具体表现存在差异。我们概述了一个“系统生物学”检查 LEA 对个体身体系统影响的框架,最终目标是创建一个身体系统相互作用的综合图谱。我们提供了一个模板,系统地识别 LEA 暴露的特征(例如,幅度、持续时间、来源)和各种调节因素(例如,病史、饮食和训练特征),这些因素可能会加剧或减轻个体运动员面临的健康和表现受损的类型和严重程度。REDs 生理学模型可以帮助诊断与 LEA 相关的问题的潜在原因,并制定个性化和细致的治疗计划,以提高依从性和治疗效果。它还可以通过关注最有可能导致健康和表现受损的 LEA 情况,根据对 LEA 暴露特征或可能增加有害后果风险的调节因素的了解,用于 REDs 的战略预防。我们挑战研究人员和从业者为每个身体系统创建一个统一和动态的生理学模型,随着知识的积累,该模型可以不断更新和映射。
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