Hayward Gregory, Gaborini Lorenzo, Sims David, Schumacher Yorck Olaf, Millet Grégoire P, Rhumorbarbe Damien, Coquet Ronan, Robinson Neil
International Testing Agency, Lausanne, Switzerland.
Musculoskeletal science and sports medicine, Manchester Metropolitan University, Manchester, UK.
Drug Test Anal. 2022 Sep;14(9):1599-1613. doi: 10.1002/dta.3329. Epub 2022 Jul 7.
The determinants of success in Olympic Games competition are specific to the athletic demands of the sporting event. A global evaluation to quantify the athletic demands across the spectrum of the Olympic Games sport events has not previously been conducted. Thus far, the interpretation and the comparison of sport physiological characteristics within anti-doping organisations (ADOs) risk assessments remains subjective without a standardised framework. Despite its subjective assessment, this information is a key component of any anti-doping programme. Sport characteristics inevitably influence the type of substances and/or methods used for doping purposes and should be captured through a comprehensive analysis. Seven applied sport scientists independently conducted an assessment to quantify the athletic demands across six preselected athletic variables. A principal component analysis was performed on the results of the panel's quantitative assessment for 160 Olympic sport events. Sport events were clustered using the Hierarchical Density Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm. The HDBSCAN identified 19 independent cluster groups; 36 sport events remained statistically unassigned to a cluster group representing unique and event-specific athletic demands. This investigation provides guidance to the anti-doping community to assist in the development of the sport specific physiology component of the risk assessment for Olympic Games disciplines. The dominant athletic characteristics to excel in each of these individual events will highlight areas of how athletes may strive to gain a competitive advantage through doping strategies, and inform the development of an effective and proportionate allocation of testing resources.
奥运会比赛成功的决定因素因体育项目的运动要求而异。此前尚未对奥运会所有体育项目的运动要求进行过全面评估以量化其情况。到目前为止,在反兴奋剂组织(ADO)的风险评估中,对运动生理特征的解释和比较缺乏标准化框架,仍然主观。尽管是主观评估,但这些信息是任何反兴奋剂计划的关键组成部分。运动特征不可避免地会影响用于兴奋剂目的的物质类型和/或方法,应通过全面分析来掌握。七位应用运动科学家独立进行了一项评估,以量化六个预先选定的运动变量的运动要求。对该小组对160个奥运会体育项目的定量评估结果进行了主成分分析。使用基于密度的具有噪声的分层空间聚类(HDBSCAN)算法对体育项目进行聚类。HDBSCAN识别出19个独立的聚类组;36个体育项目在统计学上仍未被归入代表独特且特定项目运动要求的聚类组。这项调查为反兴奋剂界提供了指导,以协助制定奥运会项目风险评估中特定运动生理部分。在这些单项赛事中取得优异成绩的主要运动特征将突出运动员可能如何通过使用兴奋剂策略来获取竞争优势的领域,并为有效且合理地分配检测资源提供依据。