Competitive performance as a discriminator of doping status in elite athletes

Author:

Hopker James G.1ORCID,Griffin Jim E.2ORCID,Hinoveanu Laurentiu C.1,Saugy Jonas3,Faiss Raphael3ORCID

Affiliation:

1. School of Sport & Exercise Sciences University of Kent Canterbury Kent UK

2. Department of Statistical Science University College London London UK

3. Research & Expertise in Antidoping Sciences University of Lausanne Lausanne Switzerland

Abstract

AbstractAs the aim of any doping regime is to improve sporting performance, it has been suggested that analysis of athlete competitive results might be informative in identifying those at greater risk of doping. This research study aimed to investigate the utility of a statistical performance model to discriminate between athletes who have a previous anti‐doping rule violation (ADRV) and those who do not. We analysed performances of male and female 100 and 800 m runners obtained from the World Athletics database using a Bayesian spline model. Measures of unusual improvement in performance were quantified by comparing the yearly change in athlete's performance (delta excess performance) to quantiles of performance in their age‐matched peers from the database population. The discriminative ability of these measures was investigated using the area under the ROC curve (AUC) with the 55%, 75% and 90% quantiles of the population performance. The highest AUC values across age were identified for the model with a 75% quantile (AUC = 0.78–0.80). The results of this study demonstrate that delta excess performance was able to discriminate between athletes with and without ADRVs and therefore could be used to assist in the risk stratification of athletes for anti‐doping purposes.

Funder

World Anti-Doping Agency

Publisher

Wiley

Subject

Spectroscopy,Pharmaceutical Science,Environmental Chemistry,Analytical Chemistry

Reference21 articles.

1. Prevalence of doping use in elite sports: a review of numbers and methods;de Hon O;Sports Med,2015

2. Doping in two elite athletics competitions assessed by randomized‐response surveys;Ulrich R;Sports Med,2018

3. Prevalence estimate of blood doping in elite track and field athletes during two major international events;Faiss R;Front Physiol,2020

4. WADA.2021 Anti‐Doping Testing Figures;2023.https://www.wada-ama.org/sites/default/files/2023-01/2021_anti-doping_testing_figures_en.pdf

5. The athlete biological passport: an integral element of innovative strategies in antidoping;Vernec AR;Br J Sports Med,2014

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