Skip to main content
Top
Published in: Sports Medicine - Open 1/2023

Open Access 01-12-2023 | Original Research Article

Recreational Athletes’ Use of Performance-Enhancing Substances: Results from the First European Randomized Response Technique Survey

Authors: Ask Vest Christiansen, Monika Frenger, Andrea Chirico, Werner Pitsch

Published in: Sports Medicine - Open | Issue 1/2023

Login to get access

Abstract

Background and Aim

Measuring the prevalence of doping in recreational sport is difficult. However, to fit their initiatives, National Anti-Doping Organizations are interested in knowing the numbers, so their scarce resources are not wasted. The present study aimed to estimate the prevalence of doping and over-the-counter medicine use for performance enhancement among recreational athletes in eight European countries.

Design

A survey covering + 200 sports aimed at recreational athletes 15 years and older was distributed via social media to sports clubs and individuals in eight European countries. To overcome social desirability bias, we applied indirect questioning by using the Randomized Response Technique and asked for the use of over-the-counter medicine and doping for the year 2019.

Results

The prevalence of the use of over-the-counter medications for performance enhancement was estimated at 10.4%. We differentiated between the concept of “doping” as the behavior to enhance performance in a certain sport and the concept of “a doper” as a property of a person. The prevalence of dopers in recreational sport was found to be 0.4%, with 3.1% male and 0% female dopers. Responses were separated into four categories: “Artistic sports,” “Combat sports,” “Games,” and “CGS sports” (i.e., sports measured in centimeters, grams, and seconds). The overall prevalence of doping in recreational sports was found to be 1.6%, and the results from Artistic and CGS sports did not differ significantly from this. However, in Games we found an estimated doping prevalence of 6.9%.

Discussion

The estimates for the prevalence of dopers and doping in this study do not equal Anti-Doping Rule Violations as stipulated by the World Anti-Doping Agency. Still, while doping is not absent in recreational sport in Europe, it appears to be a low frequent phenomenon. Also, the differences in doping prevalence between the sports categories might reflect structural and competition-related differences, rather than differences in the logic of the sporting competition or discipline-related subcultures.

Conclusion

While few recreational athletes appear to use illegal drugs to enhance performance, those who do use them are more often men than women. Yet, 1 in 10 recreational athletes uses over-the-counter medication for performance enhancement and more than 4 out of 10 use medication for other reasons than performance enhancement when doing sports. The highest doping prevalence was found in the sub-category of Games, which can likely be attributed to competition-related differences between the categories. Therefore, research on doping in recreational sports needs tailored approaches to come to a better understanding of the phenomenon.
Appendix
Available only for authorised users
Footnotes
1
In the literature, this third proportion is often referred to as “cheaters,” which is unfortunate as it may suggest that they cheated in sport by using prohibited substances or that they deliberately did not follow the RRT instructions. Therefore, we use the term “Instruction non-compliant” or INC responder. Further analysis of the RRT method with INC detection is available in [27, 29, 30].
 
2
There was a correlation between respondents registering other genders than men or women, and iffy data like “born in 1926 and still in school,” “born in 2004 and having a PhD,” as well as response times below 15 s for the first RRT question.
 
3
When choosing the highest level of competition to prioritize sports, we accommodate the widely accepted hypothesis that doping is used to give a competitive edge. Thus, the likelihood for someone to use performance-enhancing substances increases with the level of competition. Still, in line with the survey’s aim to address recreational sport, very few respondents reported to be at the international level. And those who did, most often played sports with low participation rates and low public interest in their country. It could for instance be a Dane choosing American football. A sport played by few in Denmark, which would result in players often taking part in international tournaments to compete. Even if they would thus be “international level,” they would still be regarded as amateurs. For this reason, we have not excluded “international level” records from the analysis.
 
4
The reason for selecting the yes-answer when there was one “yes” and one “no,” is that it has the highest probability of originating from someone who doped. Recall that only some respondents would answer yes because they doped, while (most) others would do so because of the instruction. We made the decision to choose the “yes-answer” because it would guarantee that we did not accidentally discard any responses from dopers and thereby inadvertently would end up with an erroneously low estimate of dopers.
 
5
The differences in the number of respondents from the eight countries, could of course also be due to differences in strategy, effort, or luck in survey dissemination from the student assistants assigned with this task.
 
Literature
1.
go back to reference de Hon O, Kuipers H, van Bottenburg M. Prevalence of doping use in elite sports: a review of numbers and methods. Sports Med. 2015;45(1):57–69.PubMedCrossRef de Hon O, Kuipers H, van Bottenburg M. Prevalence of doping use in elite sports: a review of numbers and methods. Sports Med. 2015;45(1):57–69.PubMedCrossRef
2.
go back to reference Gleaves J, Petróczi A, Folkerts D, de Hon O, Macedo E, Saugy M, et al. Doping prevalence in competitive sport: evidence synthesis with “best practice” recommendations and reporting guidelines from the WADA Working Group on Doping Prevalence. Sports Med. 2021;51(9):1909–34.PubMedCrossRef Gleaves J, Petróczi A, Folkerts D, de Hon O, Macedo E, Saugy M, et al. Doping prevalence in competitive sport: evidence synthesis with “best practice” recommendations and reporting guidelines from the WADA Working Group on Doping Prevalence. Sports Med. 2021;51(9):1909–34.PubMedCrossRef
3.
go back to reference Causanilles A, Nordmann V, Vughs D, Emke E, de Hon O, Hernández F, et al. Wastewater-based tracing of doping use by the general population and amateur athletes. Anal Bioanal Chem. 2018;410(6):1793–803.PubMedPubMedCentralCrossRef Causanilles A, Nordmann V, Vughs D, Emke E, de Hon O, Hernández F, et al. Wastewater-based tracing of doping use by the general population and amateur athletes. Anal Bioanal Chem. 2018;410(6):1793–803.PubMedPubMedCentralCrossRef
4.
go back to reference Schroder HF, Gebhardt W, Thevis M. Anabolic, doping, and lifestyle drugs, and selected metabolites in wastewater—detection, quantification, and behaviour monitored by high-resolution MS and MS(n) before and after sewage treatment. Anal Bioanal Chem. 2010;398(3):1207–29.PubMedCrossRef Schroder HF, Gebhardt W, Thevis M. Anabolic, doping, and lifestyle drugs, and selected metabolites in wastewater—detection, quantification, and behaviour monitored by high-resolution MS and MS(n) before and after sewage treatment. Anal Bioanal Chem. 2010;398(3):1207–29.PubMedCrossRef
5.
go back to reference Christiansen AV. Gym culture, identity and performance-enhancing drugs: tracing a typology of steroid use. Oxon: Routledge; 2020.CrossRef Christiansen AV. Gym culture, identity and performance-enhancing drugs: tracing a typology of steroid use. Oxon: Routledge; 2020.CrossRef
6.
go back to reference Sagoe D, Molde H, Andreassen CS, Torsheim T, Pallesen S. The global epidemiology of anabolic-androgenic steroid use: a meta-analysis and meta-regression analysis. Ann Epidemiol. 2014;24(5):383–98.PubMedCrossRef Sagoe D, Molde H, Andreassen CS, Torsheim T, Pallesen S. The global epidemiology of anabolic-androgenic steroid use: a meta-analysis and meta-regression analysis. Ann Epidemiol. 2014;24(5):383–98.PubMedCrossRef
7.
go back to reference Sagoe D, Pallesen S. Androgen abuse epidemiology. Curr Opin Endocrinol Diabetes Obes. 2018;25(3):185–94.PubMedCrossRef Sagoe D, Pallesen S. Androgen abuse epidemiology. Curr Opin Endocrinol Diabetes Obes. 2018;25(3):185–94.PubMedCrossRef
8.
go back to reference Christiansen AV, Bloodworth A, Ham E, Cox L. Doping prevention in recreational sport in Europe—a study on emerging practices among European stakeholders, Chapter 3 FAIR Final report: Europe Active; 2020. Christiansen AV, Bloodworth A, Ham E, Cox L. Doping prevention in recreational sport in Europe—a study on emerging practices among European stakeholders, Chapter 3 FAIR Final report: Europe Active; 2020.
9.
go back to reference Frenger M, Pitsch W, Emrich E. Sport-induced substance use—an empirical study to the extent within a German Sports Association. PLoS ONE. 2016;11(10):e0165103.PubMedPubMedCentralCrossRef Frenger M, Pitsch W, Emrich E. Sport-induced substance use—an empirical study to the extent within a German Sports Association. PLoS ONE. 2016;11(10):e0165103.PubMedPubMedCentralCrossRef
10.
go back to reference Ozdemir L, Nur N, Bagcivan I, Bulut O, Sümer H, Tezeren G. Doping and performance enhancing drug use in athletes living in sivas, mid-anatolia: a brief report. J Sports Sci Med. 2005;4(3):248–52.PubMedPubMedCentral Ozdemir L, Nur N, Bagcivan I, Bulut O, Sümer H, Tezeren G. Doping and performance enhancing drug use in athletes living in sivas, mid-anatolia: a brief report. J Sports Sci Med. 2005;4(3):248–52.PubMedPubMedCentral
11.
go back to reference Lentillon-Kaestner V, Ohl F. Can we measure accurately the prevalence of doping? Scand J Med Sci Sports. 2011;21(6):e132–42.PubMedCrossRef Lentillon-Kaestner V, Ohl F. Can we measure accurately the prevalence of doping? Scand J Med Sci Sports. 2011;21(6):e132–42.PubMedCrossRef
12.
go back to reference Böckenholt U, Barlas S, van der Heijden PGM. Do randomized-response designs eliminate response biases? An empirical study of non-compliance behavior. J Appl Econom. 2009;24(3):377–92.CrossRef Böckenholt U, Barlas S, van der Heijden PGM. Do randomized-response designs eliminate response biases? An empirical study of non-compliance behavior. J Appl Econom. 2009;24(3):377–92.CrossRef
13.
go back to reference Lensvelt-Mulders G, Hox JJ, van der Heuden PGM, Maas CJM. Meta-analysis of randomized response research thirty-five years of validation. Sociol Methods Res. 2005;33(3):319–48.CrossRef Lensvelt-Mulders G, Hox JJ, van der Heuden PGM, Maas CJM. Meta-analysis of randomized response research thirty-five years of validation. Sociol Methods Res. 2005;33(3):319–48.CrossRef
14.
go back to reference Wolter F, Preisendörfer P. Asking sensitive questions. Sociol Methods Res. 2013;42(3):321–53.CrossRef Wolter F, Preisendörfer P. Asking sensitive questions. Sociol Methods Res. 2013;42(3):321–53.CrossRef
15.
go back to reference Krumpal I. Estimating the prevalence of xenophobia and anti-Semitism in Germany: a comparison of randomized response and direct questioning. Soc Sci Res. 2012;41(6):1387–403.PubMedCrossRef Krumpal I. Estimating the prevalence of xenophobia and anti-Semitism in Germany: a comparison of randomized response and direct questioning. Soc Sci Res. 2012;41(6):1387–403.PubMedCrossRef
16.
go back to reference Dietz P, Ulrich R, Dalaker R, Striegel H, Franke AG, Lieb K, et al. Associations between physical and cognitive doping—a cross-sectional study in 2997 Triathletes. PLoS ONE. 2013;8(11):e78702.PubMedPubMedCentralCrossRef Dietz P, Ulrich R, Dalaker R, Striegel H, Franke AG, Lieb K, et al. Associations between physical and cognitive doping—a cross-sectional study in 2997 Triathletes. PLoS ONE. 2013;8(11):e78702.PubMedPubMedCentralCrossRef
17.
go back to reference Pitsch W. Assessing and explaining the doping prevalence in cycling. In: Fincoeur B, Gleaves J, Ohl F, editors. Doping in cycling interdisciplinary perspectives. London: Routledge; 2019. p. 13–30. Pitsch W. Assessing and explaining the doping prevalence in cycling. In: Fincoeur B, Gleaves J, Ohl F, editors. Doping in cycling interdisciplinary perspectives. London: Routledge; 2019. p. 13–30.
18.
go back to reference Pitsch W, Emrich E, Frenger M. Doping im Breiten- und Freizeitsport Zur Überprüfung von Hypothesen mittels RRT-gewonnener Daten. In: Kempf H, Nagel S, Dietl H, editors. Im Schatten der Sportwirtschaft. Schorndorf: Hofmann; 2013. p. 253–64. Pitsch W, Emrich E, Frenger M. Doping im Breiten- und Freizeitsport Zur Überprüfung von Hypothesen mittels RRT-gewonnener Daten. In: Kempf H, Nagel S, Dietl H, editors. Im Schatten der Sportwirtschaft. Schorndorf: Hofmann; 2013. p. 253–64.
19.
go back to reference Elbe A-M, Pitsch W. Doping prevalence among Danish elite athletes. Perform Enhancement Health. 2018;6(1):28–32.CrossRef Elbe A-M, Pitsch W. Doping prevalence among Danish elite athletes. Perform Enhancement Health. 2018;6(1):28–32.CrossRef
20.
go back to reference Pitsch W, Emrich E, Klein M. Doping in elite sports in Germany: results of a www survey. Eur J Sport Soc. 2007;4(2):89–102.CrossRef Pitsch W, Emrich E, Klein M. Doping in elite sports in Germany: results of a www survey. Eur J Sport Soc. 2007;4(2):89–102.CrossRef
21.
go back to reference Pitsch W, Emrich E. The frequency of doping in elite sport: results of a replication study. Int Rev Sociol Sport. 2012;47(5):559–80.CrossRef Pitsch W, Emrich E. The frequency of doping in elite sport: results of a replication study. Int Rev Sociol Sport. 2012;47(5):559–80.CrossRef
22.
go back to reference Himmelfarb S, Lickerteig C. Social desirability and randomized respnose technique. J Pers Soc Psychol. 1982;43:710–7.CrossRef Himmelfarb S, Lickerteig C. Social desirability and randomized respnose technique. J Pers Soc Psychol. 1982;43:710–7.CrossRef
23.
go back to reference Holbrook AL, Krosnik JA. Social desirability bias in voter turnout reports: tests using the item count technique. Public Opin Q. 2010;74:37–67.CrossRef Holbrook AL, Krosnik JA. Social desirability bias in voter turnout reports: tests using the item count technique. Public Opin Q. 2010;74:37–67.CrossRef
24.
go back to reference Meisters J, Hoffmann A, Musch J. Controlling social desirability bias: An experimental investigation of the extended crosswise model. PLoS ONE. 2020;15(12):e0243384.PubMedPubMedCentralCrossRef Meisters J, Hoffmann A, Musch J. Controlling social desirability bias: An experimental investigation of the extended crosswise model. PLoS ONE. 2020;15(12):e0243384.PubMedPubMedCentralCrossRef
25.
go back to reference Rasinski KA, Willis GB, Baldwin AK, Yeh W, Lee L. Methods of data collection, perceptions of risks and losses, and motivation to give truthful answers to sensitive survey questions. Appl Cogn Psychol. 1999;13(5):465–84.CrossRef Rasinski KA, Willis GB, Baldwin AK, Yeh W, Lee L. Methods of data collection, perceptions of risks and losses, and motivation to give truthful answers to sensitive survey questions. Appl Cogn Psychol. 1999;13(5):465–84.CrossRef
26.
go back to reference Locander W, Sudman S, Badburn N. An investigation of interview method, threat and response distortion. J Am Stat Assoc. 1976;71:269–75.CrossRef Locander W, Sudman S, Badburn N. An investigation of interview method, threat and response distortion. J Am Stat Assoc. 1976;71:269–75.CrossRef
27.
go back to reference Schröter H, Studzinski B, Dietz P, Ulrich R, Striegel H, Simon P, et al. A comparison of the cheater detection and the unrelated question models: a randomized response survey on physical and cognitive doping in recreational triathletes. PLoS ONE. 2016;11(5):e0155765.PubMedPubMedCentralCrossRef Schröter H, Studzinski B, Dietz P, Ulrich R, Striegel H, Simon P, et al. A comparison of the cheater detection and the unrelated question models: a randomized response survey on physical and cognitive doping in recreational triathletes. PLoS ONE. 2016;11(5):e0155765.PubMedPubMedCentralCrossRef
28.
go back to reference Wiseman F, Moriarty M, Schafer M. Estimating public opinion with the randomized response model. Public Opin Q. 1975;39:507–13.CrossRef Wiseman F, Moriarty M, Schafer M. Estimating public opinion with the randomized response model. Public Opin Q. 1975;39:507–13.CrossRef
29.
go back to reference Clark SJ, Desharnais RA. Honest answers to embarrassing questions: detecting cheating in the randomized response model. Psychol Methods. 1998;3(2):160–8.CrossRef Clark SJ, Desharnais RA. Honest answers to embarrassing questions: detecting cheating in the randomized response model. Psychol Methods. 1998;3(2):160–8.CrossRef
30.
go back to reference Feth S, Frenger M, Pitsch W, Schmelzeisen P. Cheater-detection for randomized response-techniques. Derivation, analyses and application. Saarbrücken: Universaar; 2017. Feth S, Frenger M, Pitsch W, Schmelzeisen P. Cheater-detection for randomized response-techniques. Derivation, analyses and application. Saarbrücken: Universaar; 2017.
31.
go back to reference Efron B, Tibshirani RJ. An introduction to the bootstrap. New York: Chapman & Hall; 1993.CrossRef Efron B, Tibshirani RJ. An introduction to the bootstrap. New York: Chapman & Hall; 1993.CrossRef
32.
go back to reference Warner SL. Randomized-response—a survey technique for eliminating evasive answer bias. J Am Stat Assoc. 1965;60(309):63–9.PubMedCrossRef Warner SL. Randomized-response—a survey technique for eliminating evasive answer bias. J Am Stat Assoc. 1965;60(309):63–9.PubMedCrossRef
33.
go back to reference Coutts E, Jann B. Sensitive questions in online surveys: experimental results for the randomized response technique (RRT) and the unmatched count technique (UCT). Sociol Methods Res. 2011;40(1):169–93.CrossRef Coutts E, Jann B. Sensitive questions in online surveys: experimental results for the randomized response technique (RRT) and the unmatched count technique (UCT). Sociol Methods Res. 2011;40(1):169–93.CrossRef
34.
go back to reference Krumpal I, Voss T. Sensitive questions and trust: explaining respondents’ behavior in randomized response surveys. SAGE Open. 2020;10(3):215824402093622.CrossRef Krumpal I, Voss T. Sensitive questions and trust: explaining respondents’ behavior in randomized response surveys. SAGE Open. 2020;10(3):215824402093622.CrossRef
35.
go back to reference van der Heijden PGM, van Gils G, Bouts J, Hox JJ. A comparison of randomized response, computer-assisted self-interview, and face-to-face direct questioning—eliciting sensitive information in the context of welfare and unemployment benefit. Sociol Methods Res. 2000;28(4):505–37.CrossRef van der Heijden PGM, van Gils G, Bouts J, Hox JJ. A comparison of randomized response, computer-assisted self-interview, and face-to-face direct questioning—eliciting sensitive information in the context of welfare and unemployment benefit. Sociol Methods Res. 2000;28(4):505–37.CrossRef
36.
go back to reference Ulrich R, Pope HG Jr, Cleret L, Petroczi A, Nepusz T, Schaffer J, et al. Doping in two elite athletics competitions assessed by randomized-response surveys. Sports Med. 2018;48(1):211–9.PubMedCrossRef Ulrich R, Pope HG Jr, Cleret L, Petroczi A, Nepusz T, Schaffer J, et al. Doping in two elite athletics competitions assessed by randomized-response surveys. Sports Med. 2018;48(1):211–9.PubMedCrossRef
41.
go back to reference Loland S. The vulnerability thesis and its consequences: a critique of specialization in Olympic sport. In: Bale J, Christensen MK, editors. Post-Olympism. Oxford: Berg; 2004. p. 189–99. Loland S. The vulnerability thesis and its consequences: a critique of specialization in Olympic sport. In: Bale J, Christensen MK, editors. Post-Olympism. Oxford: Berg; 2004. p. 189–99.
43.
go back to reference Sandøy TA. Anabole steroider i Norge. En oversikt fra befolkningsundersøkelser. Oslo: Statens institutt for rusmiddelforskning; 2013. Report No.: 8271714058. Sandøy TA. Anabole steroider i Norge. En oversikt fra befolkningsundersøkelser. Oslo: Statens institutt for rusmiddelforskning; 2013. Report No.: 8271714058.
44.
go back to reference Gatterer K, Gumpenberger M, Overbye M, Streicher B, Schobersberger W, Blank C. An evaluation of prevention initiatives by 53 national anti-doping organizations: achievements and limitations. J Sport Health Sci. 2020;9(3):228–39.PubMedCrossRef Gatterer K, Gumpenberger M, Overbye M, Streicher B, Schobersberger W, Blank C. An evaluation of prevention initiatives by 53 national anti-doping organizations: achievements and limitations. J Sport Health Sci. 2020;9(3):228–39.PubMedCrossRef
45.
go back to reference Read D, Skinner J, Lock D, Houlihan B. Balancing mission creep, means, effectiveness and legitimacy at the World Anti-Doping Agency. Perform Enhancement Health. 2020;8(2):100175.CrossRef Read D, Skinner J, Lock D, Houlihan B. Balancing mission creep, means, effectiveness and legitimacy at the World Anti-Doping Agency. Perform Enhancement Health. 2020;8(2):100175.CrossRef
46.
go back to reference Dimeo P, Møller V. The anti-doping crisis in sport: causes, consequences solutions. Routledge; 2018.CrossRef Dimeo P, Møller V. The anti-doping crisis in sport: causes, consequences solutions. Routledge; 2018.CrossRef
47.
go back to reference Childress JF, Faden RR, Gaare RD, Gostin LO, Kahn J, Bonnie RJ, et al. Public health ethics: mapping the terrain. J Law Med Ethics. 2002;30(2):170–8.PubMedCrossRef Childress JF, Faden RR, Gaare RD, Gostin LO, Kahn J, Bonnie RJ, et al. Public health ethics: mapping the terrain. J Law Med Ethics. 2002;30(2):170–8.PubMedCrossRef
48.
go back to reference Pinker S. The blank slate: the modern denial of human nature. New York: Penguin Books; 2002. Pinker S. The blank slate: the modern denial of human nature. New York: Penguin Books; 2002.
49.
go back to reference Kenrick DT, Trost MR, Sundie JM. Sex roles as adaptations. An evolutionary perspective on gender differences and similarities. In: Eagly AH, Beall AE, Sternberg RJ, editors. The psychology of gender. 2nd ed. New York: Guilford Press; 2004. p. 65–91. Kenrick DT, Trost MR, Sundie JM. Sex roles as adaptations. An evolutionary perspective on gender differences and similarities. In: Eagly AH, Beall AE, Sternberg RJ, editors. The psychology of gender. 2nd ed. New York: Guilford Press; 2004. p. 65–91.
50.
go back to reference Sapolsky RM. Behave: the biology of humans at our best and worst. New York: Penguin Press; 2017. Sapolsky RM. Behave: the biology of humans at our best and worst. New York: Penguin Press; 2017.
51.
go back to reference Krieger J, Krech M, Pieper LP. ‘Our Sport’: the fight for control of women’s international athletics. Int J Hist Sport. 2020;37(5–6):451–72.CrossRef Krieger J, Krech M, Pieper LP. ‘Our Sport’: the fight for control of women’s international athletics. Int J Hist Sport. 2020;37(5–6):451–72.CrossRef
52.
go back to reference WADA. World Anti Doping Code 2015. In: World Anti-Doping Agency, editor. Montreal: World Anti-Doping Agency; 2015. p. 156. WADA. World Anti Doping Code 2015. In: World Anti-Doping Agency, editor. Montreal: World Anti-Doping Agency; 2015. p. 156.
53.
go back to reference WADA. 2020 anti-doping testing figures executive summary. Montreal: World Anti-Doping Agency; 2021. WADA. 2020 anti-doping testing figures executive summary. Montreal: World Anti-Doping Agency; 2021.
54.
go back to reference Selwyn N. Reconsidering political and popular understandings of the digital divide. New Media Soc. 2004;6(3):341–62.CrossRef Selwyn N. Reconsidering political and popular understandings of the digital divide. New Media Soc. 2004;6(3):341–62.CrossRef
Metadata
Title
Recreational Athletes’ Use of Performance-Enhancing Substances: Results from the First European Randomized Response Technique Survey
Authors
Ask Vest Christiansen
Monika Frenger
Andrea Chirico
Werner Pitsch
Publication date
01-12-2023
Publisher
Springer International Publishing
Published in
Sports Medicine - Open / Issue 1/2023
Print ISSN: 2199-1170
Electronic ISSN: 2198-9761
DOI
https://doi.org/10.1186/s40798-022-00548-2

Other articles of this Issue 1/2023

Sports Medicine - Open 1/2023 Go to the issue