Doping Prevalence among U.S. Elite Athletes Subject to Drug Testing under the World Anti-Doping Code
Background Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true doping prevalence is important when designing anti-doping programs and measuring their effectiveness. The objective of this study...
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Published in | Sports medicine - open Vol. 10; no. 1; pp. 57 - 11 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
20.05.2024
Springer Nature B.V SpringerOpen |
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Abstract | Background
Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true doping prevalence is important when designing anti-doping programs and measuring their effectiveness. The objective of this study was to estimate the prevalence of doping among Olympic, Paralympic, World, and National-level competitive athletes in the United States subject to the World Anti-Doping Code. All athletes who were subject to the U.S. Anti-Doping Agency’s Protocol for Olympic and Paralympic Movement Testing, a World Anti-Doping Code (“Code”)-compliant anti-doping program, were invited to complete a web-delivered survey. Using a direct questioning approach, the survey items asked athletes whether they had used each specific category of banned substance / method on the World Anti-Doping Agency’s Prohibited List. Multiple strategies to encourage honest reporting (e.g., protecting anonymity by collecting minimal demographic information; using an outside organization to administer the survey) and to detect inconsistent responses were used.
Results
Depending on the method of calculation, 6.5–9.2% of the 1,398 respondents reported using one or more prohibited substances or methods in the 12 months prior to survey administration. Specific doping prevalence rates for each individual substance / method categories ranged from 0.1% (for both diuretics / masking agents and stem cell / gene editing) to 4.2% for in-competition use of cannabinoids.
Conclusion
Determining the prevalence of doping within different athlete populations is critical so that sport governing bodies can evaluate their anti-doping efforts and better tailor their programming. By measuring doping prevalence of specific categories of substances and methods, rather than just the overall prevalence of doping, this study also highlights where sport governing bodies should focus their future educational and detection efforts.
Key Points
Estimated doping prevalence among U.S. elite athletes ranged from 6.5 to 9.2%.
The most prevalent category of doping was in-competition use of cannabinoids (at 4.2%), whereas the least prevalent categories of doping were diuretics or masking agents (0.1%), stem cell or gene editing (0.1%), narcotics (0.2%), and hormone and metabolic modulators (0.2%).
Of the athletes who reported doping, most reported using only one substance or method. |
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AbstractList | BackgroundDetermining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true doping prevalence is important when designing anti-doping programs and measuring their effectiveness. The objective of this study was to estimate the prevalence of doping among Olympic, Paralympic, World, and National-level competitive athletes in the United States subject to the World Anti-Doping Code. All athletes who were subject to the U.S. Anti-Doping Agency’s Protocol for Olympic and Paralympic Movement Testing, a World Anti-Doping Code (“Code”)-compliant anti-doping program, were invited to complete a web-delivered survey. Using a direct questioning approach, the survey items asked athletes whether they had used each specific category of banned substance / method on the World Anti-Doping Agency’s Prohibited List. Multiple strategies to encourage honest reporting (e.g., protecting anonymity by collecting minimal demographic information; using an outside organization to administer the survey) and to detect inconsistent responses were used.ResultsDepending on the method of calculation, 6.5–9.2% of the 1,398 respondents reported using one or more prohibited substances or methods in the 12 months prior to survey administration. Specific doping prevalence rates for each individual substance / method categories ranged from 0.1% (for both diuretics / masking agents and stem cell / gene editing) to 4.2% for in-competition use of cannabinoids.ConclusionDetermining the prevalence of doping within different athlete populations is critical so that sport governing bodies can evaluate their anti-doping efforts and better tailor their programming. By measuring doping prevalence of specific categories of substances and methods, rather than just the overall prevalence of doping, this study also highlights where sport governing bodies should focus their future educational and detection efforts.Key PointsEstimated doping prevalence among U.S. elite athletes ranged from 6.5 to 9.2%.The most prevalent category of doping was in-competition use of cannabinoids (at 4.2%), whereas the least prevalent categories of doping were diuretics or masking agents (0.1%), stem cell or gene editing (0.1%), narcotics (0.2%), and hormone and metabolic modulators (0.2%).Of the athletes who reported doping, most reported using only one substance or method. Background Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true doping prevalence is important when designing anti-doping programs and measuring their effectiveness. The objective of this study was to estimate the prevalence of doping among Olympic, Paralympic, World, and National-level competitive athletes in the United States subject to the World Anti-Doping Code. All athletes who were subject to the U.S. Anti-Doping Agency’s Protocol for Olympic and Paralympic Movement Testing, a World Anti-Doping Code (“Code”)-compliant anti-doping program, were invited to complete a web-delivered survey. Using a direct questioning approach, the survey items asked athletes whether they had used each specific category of banned substance / method on the World Anti-Doping Agency’s Prohibited List. Multiple strategies to encourage honest reporting (e.g., protecting anonymity by collecting minimal demographic information; using an outside organization to administer the survey) and to detect inconsistent responses were used. Results Depending on the method of calculation, 6.5–9.2% of the 1,398 respondents reported using one or more prohibited substances or methods in the 12 months prior to survey administration. Specific doping prevalence rates for each individual substance / method categories ranged from 0.1% (for both diuretics / masking agents and stem cell / gene editing) to 4.2% for in-competition use of cannabinoids. Conclusion Determining the prevalence of doping within different athlete populations is critical so that sport governing bodies can evaluate their anti-doping efforts and better tailor their programming. By measuring doping prevalence of specific categories of substances and methods, rather than just the overall prevalence of doping, this study also highlights where sport governing bodies should focus their future educational and detection efforts. Key Points Estimated doping prevalence among U.S. elite athletes ranged from 6.5 to 9.2%. The most prevalent category of doping was in-competition use of cannabinoids (at 4.2%), whereas the least prevalent categories of doping were diuretics or masking agents (0.1%), stem cell or gene editing (0.1%), narcotics (0.2%), and hormone and metabolic modulators (0.2%). Of the athletes who reported doping, most reported using only one substance or method. Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true doping prevalence is important when designing anti-doping programs and measuring their effectiveness. The objective of this study was to estimate the prevalence of doping among Olympic, Paralympic, World, and National-level competitive athletes in the United States subject to the World Anti-Doping Code. All athletes who were subject to the U.S. Anti-Doping Agency's Protocol for Olympic and Paralympic Movement Testing, a World Anti-Doping Code ("Code")-compliant anti-doping program, were invited to complete a web-delivered survey. Using a direct questioning approach, the survey items asked athletes whether they had used each specific category of banned substance / method on the World Anti-Doping Agency's Prohibited List. Multiple strategies to encourage honest reporting (e.g., protecting anonymity by collecting minimal demographic information; using an outside organization to administer the survey) and to detect inconsistent responses were used. Depending on the method of calculation, 6.5-9.2% of the 1,398 respondents reported using one or more prohibited substances or methods in the 12 months prior to survey administration. Specific doping prevalence rates for each individual substance / method categories ranged from 0.1% (for both diuretics / masking agents and stem cell / gene editing) to 4.2% for in-competition use of cannabinoids. Determining the prevalence of doping within different athlete populations is critical so that sport governing bodies can evaluate their anti-doping efforts and better tailor their programming. By measuring doping prevalence of specific categories of substances and methods, rather than just the overall prevalence of doping, this study also highlights where sport governing bodies should focus their future educational and detection efforts. Abstract Background Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true doping prevalence is important when designing anti-doping programs and measuring their effectiveness. The objective of this study was to estimate the prevalence of doping among Olympic, Paralympic, World, and National-level competitive athletes in the United States subject to the World Anti-Doping Code. All athletes who were subject to the U.S. Anti-Doping Agency’s Protocol for Olympic and Paralympic Movement Testing, a World Anti-Doping Code (“Code”)-compliant anti-doping program, were invited to complete a web-delivered survey. Using a direct questioning approach, the survey items asked athletes whether they had used each specific category of banned substance / method on the World Anti-Doping Agency’s Prohibited List. Multiple strategies to encourage honest reporting (e.g., protecting anonymity by collecting minimal demographic information; using an outside organization to administer the survey) and to detect inconsistent responses were used. Results Depending on the method of calculation, 6.5–9.2% of the 1,398 respondents reported using one or more prohibited substances or methods in the 12 months prior to survey administration. Specific doping prevalence rates for each individual substance / method categories ranged from 0.1% (for both diuretics / masking agents and stem cell / gene editing) to 4.2% for in-competition use of cannabinoids. Conclusion Determining the prevalence of doping within different athlete populations is critical so that sport governing bodies can evaluate their anti-doping efforts and better tailor their programming. By measuring doping prevalence of specific categories of substances and methods, rather than just the overall prevalence of doping, this study also highlights where sport governing bodies should focus their future educational and detection efforts. Estimated doping prevalence among U.S. elite athletes ranged from 6.5 to 9.2%. The most prevalent category of doping was in-competition use of cannabinoids (at 4.2%), whereas the least prevalent categories of doping were diuretics or masking agents (0.1%), stem cell or gene editing (0.1%), narcotics (0.2%), and hormone and metabolic modulators (0.2%). Of the athletes who reported doping, most reported using only one substance or method. |
ArticleNumber | 57 |
Author | Grist, Pauline Fedoruk, Matthew Milroy, Jeff Davoren, Ann Kearns Wyrick, David Rulison, Kelly Lewis, Laura |
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References | Ntoumanis, Ng, Barkoukis, Backhouse (CR13) 2014; 44 Tourangeau, Yan (CR15) 2007; 133 Catlin, Fitch, Ljungqvist (CR6) 2008; 264 Simon, Dettweiler (CR1) 2019; 49 CR8 Maennig (CR2) 2014; 49 Gleaves, Petróczi, Folkerts, de Hon, Macedo, Saugy (CR3) 2021; 51 Mitchell, Wellings, Elam, Erens, Fenton, Johnson (CR18) 2007; 9 Schell, Godinho, Cunningham (CR7) 2022; 22 Fischetto, Bermon (CR5) 2013; 43 Pluim, de Hon, Staal, Limpens, Kuipers, Overbeek (CR11) 2011; 41 CR12 CR23 CR10 Perinelli, Gremigni (CR16) 2016; 72 Krumpal (CR17) 2013; 47 Höglinger, Jann, Diekmann (CR21) 2016; 10 Blank, Kopp, Niedermeier, Schnitzer, Schobersberger (CR22) 2016; 5 Kapur, Aleksa (CR4) 2020; 57 Bowers, Paternoster (CR9) 2017; 11 Elbe, Pitsch (CR14) 2018; 6 Warner (CR19) 1965; 60 de Hon, Kuipers, van Bottenburg (CR20) 2015; 45 M Höglinger (721_CR21) 2016; 10 I Krumpal (721_CR17) 2013; 47 BM Pluim (721_CR11) 2011; 41 DH Catlin (721_CR6) 2008; 264 721_CR8 721_CR10 721_CR12 721_CR23 N Ntoumanis (721_CR13) 2014; 44 G Fischetto (721_CR5) 2013; 43 LD Bowers (721_CR9) 2017; 11 O de Hon (721_CR20) 2015; 45 K Mitchell (721_CR18) 2007; 9 C Schell (721_CR7) 2022; 22 W Maennig (721_CR2) 2014; 49 BM Kapur (721_CR4) 2020; 57 P Simon (721_CR1) 2019; 49 A-M Elbe (721_CR14) 2018; 6 E Perinelli (721_CR16) 2016; 72 R Tourangeau (721_CR15) 2007; 133 C Blank (721_CR22) 2016; 5 J Gleaves (721_CR3) 2021; 51 SL Warner (721_CR19) 1965; 60 |
References_xml | – volume: 72 start-page: 534 year: 2016 end-page: 51 ident: CR16 article-title: Use of social desirability scales in clinical psychology: a systematic review publication-title: J Clin Psychol doi: 10.1002/jclp.22284 – volume: 22 start-page: 67 year: 2022 ident: CR7 article-title: Using a consistency check during data collection to identify invalid responding in an online cannabis screening survey publication-title: BMC Med Res Methodol doi: 10.1186/s12874-022-01556-2 – volume: 44 start-page: 1603 year: 2014 end-page: 24 ident: CR13 article-title: Personal and psychosocial predictors of doping use in physical activity settings: a meta-analysis publication-title: Sports Med doi: 10.1007/s40279-014-0240-4 – volume: 133 start-page: 859 year: 2007 end-page: 83 ident: CR15 article-title: Sensitive questions in surveys publication-title: Psychol Bull doi: 10.1037/0033-2909.133.5.859 – volume: 60 start-page: 63 year: 1965 end-page: 9 ident: CR19 article-title: Randomized response: a survey technique for eliminating evasive answer bias publication-title: J Am Stat Assoc doi: 10.1080/01621459.1965.10480775 – volume: 10 start-page: 171 year: 2016 end-page: 87 ident: CR21 article-title: Sensitive questions in online surveys: an experimental evaluation of different implementations of the Randomized response technique and the crosswise model publication-title: Surv Res Methods – volume: 5 start-page: 1333 year: 2016 ident: CR22 article-title: Predictors of doping intentions, susceptibility, and behaviour of elite athletes: a meta-analytic review publication-title: SpringerPlus doi: 10.1186/s40064-016-3000-0 – volume: 51 start-page: 1909 year: 2021 end-page: 34 ident: CR3 article-title: Doping prevalence in competitive sport: evidence synthesis with best practice recommendations and reporting guidelines from the WADA working group on doping prevalence publication-title: Sports Med doi: 10.1007/s40279-021-01477-y – ident: CR12 – volume: 6 start-page: 28 year: 2018 end-page: 32 ident: CR14 article-title: Doping prevalence among Danish elite athletes publication-title: Perform Enhancement Health doi: 10.1016/j.peh.2018.01.001 – volume: 45 start-page: 57 year: 2015 end-page: 69 ident: CR20 article-title: Prevalence of doping use in elite sports: a review of numbers and methods publication-title: Sports Med doi: 10.1007/s40279-014-0247-x – volume: 49 start-page: 1201 year: 2014 end-page: 5 ident: CR2 article-title: Inefficiency of the anti-doping system: cost reduction proposals publication-title: Subst Use Misuse doi: 10.3109/10826084.2014.912065 – ident: CR10 – volume: 41 start-page: 39 year: 2011 end-page: 57 ident: CR11 article-title: β2-Agonists and physical performance publication-title: Sports Med doi: 10.2165/11537540-000000000-00000 – volume: 57 start-page: 548 year: 2020 end-page: 85 ident: CR4 article-title: What the lab can and cannot do: clinical interpretation of drug testing results publication-title: Crit Rev Cl Lab Sci doi: 10.1080/10408363.2020.1774493 – volume: 264 start-page: 99 year: 2008 end-page: 114 ident: CR6 article-title: Medicine and science in the fight against doping in sport publication-title: J Intern Med doi: 10.1111/j.1365-2796.2008.01993.x – volume: 11 start-page: 132 year: 2017 end-page: 51 ident: CR9 article-title: Inhibiting doping in sports: deterrence is necessary, but not sufficient publication-title: Sport Ethics Philos doi: 10.1080/17511321.2016.1261930 – ident: CR8 – volume: 43 start-page: 965 year: 2013 end-page: 77 ident: CR5 article-title: From gene engineering to gene modulation and manipulation: can we prevent or detect gene doping in sports? publication-title: Sports Med doi: 10.1007/s40279-013-0075-4 – volume: 47 start-page: 2025 year: 2013 end-page: 47 ident: CR17 article-title: Determinants of social desirability bias in sensitive surveys: a literature review publication-title: Qual Quant doi: 10.1007/s11135-011-9640-9 – volume: 49 start-page: 497 year: 2019 end-page: 500 ident: CR1 article-title: Current anti-doping crisis: the limits of medical evidence employing inductive statistical inference publication-title: Sports Med doi: 10.1007/s40279-019-01074-0 – ident: CR23 – volume: 9 start-page: 519 year: 2007 end-page: 31 ident: CR18 article-title: How can we facilitate reliable reporting in surveys of sexual behaviour? 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Snippet | Background
Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however,... Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true... BackgroundDetermining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however,... Estimated doping prevalence among U.S. elite athletes ranged from 6.5 to 9.2%. The most prevalent category of doping was in-competition use of cannabinoids (at... Abstract Background Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic;... |
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SubjectTerms | Athletes Diuretics Doping prevalence Medicine Medicine & Public Health Original Original Research Article Performance enhancing drugs Sports Medicine Stem cells |
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Title | Doping Prevalence among U.S. Elite Athletes Subject to Drug Testing under the World Anti-Doping Code |
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