Literature DB >> 21427381

Prevalence of blood doping in samples collected from elite track and field athletes.

Pierre-Edouard Sottas1, Neil Robinson, Giuseppe Fischetto, Gabriel Dollé, Juan Manuel Alonso, Martial Saugy.   

Abstract

BACKGROUND: No reliable estimate of the prevalence of doping in elite sports has been published. Since 2001, the international governing body for athletics has implemented a blood-testing program to detect altered hematological profiles in the world's top-level athletes.
METHODS: A total of 7289 blood samples were collected from 2737 athletes out of and during international athletic competitions. Data were collected in parallel on each sample, including the age, sex, nationality, and birth date of the athlete; testing date; sport; venue; and instrument technology. Period prevalence of blood-doping in samples was estimated by comparing empirical cumulative distribution functions of the abnormal blood profile score computed for subpopulations with stratified reference cumulative distribution functions.
RESULTS: In addition to an expected difference between endurance and nonendurance athletes, we found nationality to be the major factor of heterogeneity. Estimates of the prevalence of blood doping ranged from 1% to 48% for subpopulations of samples and a mean of 14% for the entire study population. Extreme cases of secondary polycythemia highlighted the health risks associated with blood manipulations.
CONCLUSIONS: When applied at a population level, in this case the population of samples, hematological data can be used to estimate period prevalence of blood doping in elite sports. We found that the world's top-level athletes are not only heterogeneous in physiological and anthropometric factors but also in their doping behavior, with contrasting attitudes toward doping between countries. When applied at the individual level, the same biomarkers, as formalized in the Athlete Biological Passport paradigm, can be used in analysis of the observed different physiological characteristics and behavioral heterogeneities.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21427381     DOI: 10.1373/clinchem.2010.156067

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  22 in total

1.  Athlete testing: sports doping vastly underestimated.

Authors:  Simon Evans
Journal:  Nature       Date:  2015-03-05       Impact factor: 49.962

Review 2.  Epigenetics in sports.

Authors:  Tobias Ehlert; Perikles Simon; Dirk A Moser
Journal:  Sports Med       Date:  2013-02       Impact factor: 11.136

3.  Is there a danger for myopia in anti-doping education? Comparative analysis of substance use and misuse in Olympic racket sports calls for a broader approach.

Authors:  Miran Kondric; Damir Sekulic; Andrea Petroczi; Ljerka Ostojic; Jelena Rodek; Zdenko Ostojic
Journal:  Subst Abuse Treat Prev Policy       Date:  2011-10-11

Review 4.  Prevalence of doping use in elite sports: a review of numbers and methods.

Authors:  Olivier de Hon; Harm Kuipers; Maarten van Bottenburg
Journal:  Sports Med       Date:  2015-01       Impact factor: 11.136

5.  Doping in Two Elite Athletics Competitions Assessed by Randomized-Response Surveys.

Authors:  Rolf Ulrich; Harrison G Pope; Léa Cléret; Andrea Petróczi; Tamás Nepusz; Jay Schaffer; Gen Kanayama; R Dawn Comstock; Perikles Simon
Journal:  Sports Med       Date:  2018-01       Impact factor: 11.136

Review 6.  From gene engineering to gene modulation and manipulation: can we prevent or detect gene doping in sports?

Authors:  Giuseppe Fischetto; Stéphane Bermon
Journal:  Sports Med       Date:  2013-10       Impact factor: 11.136

7.  Doping Prevalence in Competitive Sport: Evidence Synthesis with "Best Practice" Recommendations and Reporting Guidelines from the WADA Working Group on Doping Prevalence.

Authors:  John Gleaves; Andrea Petróczi; Dirk Folkerts; Olivier de Hon; Emmanuel Macedo; Martial Saugy; Maarten Cruyff
Journal:  Sports Med       Date:  2021-04-26       Impact factor: 11.136

Review 8.  Personal and psychosocial predictors of doping use in physical activity settings: a meta-analysis.

Authors:  Nikos Ntoumanis; Johan Y Y Ng; Vassilis Barkoukis; Susan Backhouse
Journal:  Sports Med       Date:  2014-11       Impact factor: 11.136

Review 9.  Has Athletic Performance Reached its Peak?

Authors:  Geoffroy Berthelot; Adrien Sedeaud; Adrien Marck; Juliana Antero-Jacquemin; Julien Schipman; Guillaume Saulière; Andy Marc; François-Denis Desgorces; Jean-François Toussaint
Journal:  Sports Med       Date:  2015-09       Impact factor: 11.136

10.  Doping knowledge, attitudes, and practices of Ugandan athletes': a cross-sectional study.

Authors:  Haruna Muwonge; Robert Zavuga; Peninnah Aligawesa Kabenge
Journal:  Subst Abuse Treat Prev Policy       Date:  2015-09-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.