Literature DB >> 22126721

Can we measure accurately the prevalence of doping?

V Lentillon-Kaestner1, F Ohl.   

Abstract

Questionnaires are used in the majority of the studies on doping prevalence in sport. Nevertheless, prevalence is not easy to evaluate and previous epidemiologic studies demonstrated a wide variance. This variance has mostly been explained by sample differences. The way to evaluate doping prevalence in the survey is questioned in this paper. A questionnaire was administered to 1810 amateur athletes (993 males, 817 females). Doping use was ascertained in various ways, using different definitions of doping and types of question in the survey. Depending on the definition of doping and the type of question used, the prevalence of doping obtained can differ enormously, between 1.3 and 39.2% of athletes. Marijuana and drugs for asthma were the two banned substances most used. The majority of athletes often ignored the banned list and did not use prohibited substances to dope. Using various ways to question athletes, observing the usage of substances, cross checking the data, taking into account the aim of substances uses and the various definitions of doping are necessary to give more reliable prevalence of doping. Moreover, doping at an amateur level seems to be less of a sport problem than a social problem.
© 2010 John Wiley & Sons A/S.

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Year:  2010        PMID: 22126721     DOI: 10.1111/j.1600-0838.2010.01199.x

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  10 in total

1.  Challenges to promoting health for amateur athletes through anti-doping policy.

Authors:  April Henning
Journal:  Drugs (Abingdon Engl)       Date:  2016-07-22

Review 2.  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

3.  Examination of Factors Explaining Coaching Strategy and Training Methodology as Correlates of Potential Doping Behavior in High-Level Swimming.

Authors:  Silvester Liposek; Natasa Zenic; Jose M Saavedra; Damir Sekulic; Jelena Rodek; Miha Marinsek; Dorica Sajber
Journal:  J Sports Sci Med       Date:  2018-03-01       Impact factor: 2.988

4.  The complexities of anti-doping violations: a case study of sanctioned cases in all performance levels of USA cycling.

Authors:  April D Henning; Paul Dimeo
Journal:  Perform Enhanc Health       Date:  2014 Sep-Dec

5.  (Self-)Surveillance, Anti-Doping, and Health in Non-Elite Road Running.

Authors:  April D Henning
Journal:  Surveill Soc       Date:  2014

6.  Cannabis Use and Sport: A Systematic Review.

Authors:  Shgufta Docter; Moin Khan; Chetan Gohal; Bheeshma Ravi; Mohit Bhandari; Rajiv Gandhi; Timothy Leroux
Journal:  Sports Health       Date:  2020-02-05       Impact factor: 3.843

Review 7.  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

8.  Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?

Authors:  Andrea Petróczi; Tamás Nepusz
Journal:  Subst Abuse Treat Prev Policy       Date:  2011-01-18

9.  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

Review 10.  The Role of Nationality in Ultra-Endurance Sports: The Paradigm of Cross-Country Skiing and Long-Distance Running.

Authors:  Beat Knechtle; Thomas Rosemann; Pantelis Theo Nikolaidis
Journal:  Int J Environ Res Public Health       Date:  2020-04-08       Impact factor: 3.390

  10 in total

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