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Virtue or pretense? Looking behind self-declared innocence in doping
Andrea Petróczi1, Eugene V Aidman, Iltaf Hussain
1School of Life Sciences, Kingston University London, Kingston upon Thames, United Kingdom. A.Petroczi@kingston.ac.uk
Self-reported doping use in athletes is often under-reported. Chemical hair analysis offers objective validation, revealing discrepancies that impact attitudes and social perceptions of doping. This highlights the need for improved self-reporting methods.
Area of Science:
- Sports Science
- Social Psychology
- Analytical Chemistry
Background:
- Social science research on doping heavily relies on self-reports, which are prone to under-reporting.
- Objective validation methods are crucial for accurate data on doping practices.
- This study addresses the need for improved self-report methodologies in sensitive research areas.
Purpose of the Study:
- To compare self-reported doping use with objective hair analysis results.
- To examine how discrepancies between self-reports and objective data influence doping attitudes and social perceptions.
- To investigate the impact on social projection, norms, and perceived pressure to use doping.
Main Methods:
- Developed a doping attitudes questionnaire and implicit association test.
- Collected hair samples from 14 athletes for chemical analysis of doping substances.
- Compared self-reported data with objective hair analysis results in selected athlete groups.
Main Results:
- Group differences in social projection, attitudes, and perceived pressure varied based on self-report versus hair analysis verification.
- Self-confessed users exhibited higher social projection, positive attitudes, and perceived pressure.
- Athletes denying doping but testing positive showed extreme social desirability in self-reports, contrasting with implicit attitudes.
Conclusions:
- Hair analysis effectively validates athletes' doping admissions and attitude estimations.
- Findings underscore the necessity for enhanced self-report methods in socially sensitive research.
- Implicit social cognition measures show promise for large-scale studies and online data collection, despite the cost of chemical validation.
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