Submitted:
09 July 2025
Posted:
10 July 2025
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Abstract
Keywords:
1. Introduction
1.1. Background
1.2. Introduction
1.3. Problem Statement
1.4. Significance and Rationale
1.5. Literature Review
1.6. Theoretical Framework
1.7. Objectives and Research Questions
1.7.1. The Primary Objectives of This Research Are:
- To identify and analyze the main legal and ethical challenges of genetic editing in professional sports.
- To assess stakeholder perceptions and the effectiveness of current regulatory frameworks.
- To propose actionable recommendations for policy and practice.
1.7.2. Research Questions:
- What are the most pressing legal and ethical issues associated with genetic editing in professional sports?
- How do different stakeholders perceive the risks and benefits?
- What regulatory strategies can ensure fairness and athlete protection?
1.7.3. Hypotheses:
- H1: Stakeholder perceptions of fairness and regulatory clarity significantly predict acceptance of genetic editing in sports.
- H2: There are significant differences in legal and ethical concerns among athletes, coaches, and legal experts.
2. Theoretical Foundations and Literature Review
2.1. Theoretical Foundations
2.2. Literature Review
2.2.1. Genetics and Athletic Performance
2.2.2. Emergence of Gene Editing and Doping
2.2.3. Detection and Regulation
2.2.4. Ethical and Legal Challenges
2.2.5. Summary of Key Themes
2.3. Research Gaps
3. Methodology
3.1. Research Type
3.2. Population
3.3. Sample and Sampling Method
- 120 professional athletes
- 60 coaches
- 72 legal experts
- 40 bioethicists
- 20 sports administrators
3.4. Data Collection Instruments
- The questionnaire included sections on demographic information, legal and ethical perceptions, and attitudes toward genetic editing in sports. Items were developed based on prior literature and expert consultation.
- Semi-structured interviews were conducted with a purposive subsample to explore nuanced perspectives.
- Document analysis included review of relevant regulations, policy documents, and international guidelines.
3.5. Validity and Reliability
3.6. Data Analysis Methods
- Descriptive statistics (means, standard deviations, frequencies)
- Structural Equation Modeling (SEM) to examine relationships among variables
- Multivariate Logistic Regression to identify predictors of legal and ethical concern
- ANOVA to compare stakeholder groups
4. Findings
4.1. Descriptive Statistics
4.2. Results of Statistical Tests
4.3. Hypothesis Testing and Research Questions
- H1: Supported. Stakeholder perceptions of fairness and regulatory clarity significantly predicted acceptance of genetic editing in sports.
- H2: Supported. There were significant differences in legal and ethical concerns among athletes, coaches, and legal experts.
4.3.1. Summary of Key Findings:
- Most stakeholders perceive current regulations and ethical guidelines as inadequate.
- Perceptions of fairness and regulatory clarity are critical in shaping acceptance.
- Legal experts are most concerned about regulatory gaps; bioethicists about ethical risks.
- Advanced statistical analysis confirmed significant group differences and identified key predictors for policy focus.
5. Discussion and Conclusion
5.1. Interpretation of Findings
5.2. Comparison with Previous Research
5.3. Overall Conclusion
6. Recommendations
6.1. Practical Recommendations
- Develop and implement clear, internationally harmonized legal and ethical frameworks for the use of genetic editing technologies in professional sports. These frameworks should prioritize fairness, athlete rights, and transparency in all regulatory processes.
- Establish multidisciplinary oversight committees-including legal experts, ethicists, scientists, and athlete representatives-to regularly review and update policies in line with technological advancements.
- Invest in research and development of advanced detection methods for gene editing interventions, ensuring effective monitoring and enforcement by anti-doping agencies.
- Promote education and awareness programs for athletes, coaches, and sports administrators regarding the risks, benefits, and ethical considerations of genetic editing.
- Encourage open dialogue among stakeholders to foster trust and collective decision-making in policy development and implementation.
6.2. Recommendations for Future Research
- Conduct longitudinal studies to assess the long-term health, psychological, and social impacts of genetic editing on athletes and sports communities.
- Explore cross-cultural differences in perceptions and acceptance of genetic editing in sports to inform globally relevant policies.
- Investigate the effectiveness of current and emerging detection technologies for gene editing, with a focus on practical application in anti-doping efforts.
- Analyze the economic implications and potential inequalities arising from access to genetic editing technologies in professional sports.
- Examine the perspectives of underrepresented groups, such as para-athletes and youth athletes, to ensure inclusive and equitable policy development.
References
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- World Anti-Doping A. Prohibited List 2023 [updated 2023/10/01. Available from: https://www.wada-ama.org/en/prohibited-list.
- Kaluđerović Ž. Contemporary Bioethics: Themes and Dilemmas: NKUA Applied Philosophy Research Lab Press; 2025.
- Morgan WJJ. Ethics in sport: Human Kinetics; 2024.
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| Regulatory Gaps | Athlete Consent | Health Risks | Fairness and Equality | Privacy Issues |
|---|---|---|---|---|
| Inconsistent international laws | Informed decision-making | Unknown long-term effects | Potential for unfair advantage | Genetic data protection |
| Theme | Description |
|---|---|
| Genetic Screening | Injury prevention, health monitoring |
| Gene Doping | Performance enhancement, detection challenges |
| Regulation | WADA bans, international guidelines |
| Ethics | Fairness, discrimination, human rights |
| Technology | CRISPR, prime editing, detection methods |
| Step | Description |
|---|---|
| Research Design | Mixed-methods (quantitative + qualitative) |
| Population | Athletes, coaches, legal experts, bioethicists, sports administrators |
| Sample Size | 312 |
| Sampling Method | Stratified random sampling |
| Data Collection Tools | Questionnaire, interviews, document analysis |
| Validity & Reliability | Expert review, factor analysis, Cronbach’s alpha |
| Data Analysis | SEM, logistic regression, ANOVA, thematic coding |
| Stakeholder Group | Health Risks (%) | Fairness (%) | Regulatory Gaps (%) |
|---|---|---|---|
| Athletes | 74 | 62 | 55 |
| Coaches | 70 | 68 | 60 |
| Legal Experts | 66 | 58 | 68 |
| Bioethicists | 79 | 77 | 65 |
| Administrators | 60 | 70 | 63 |
| Fit Index | Recommended Value | Model Value | Interpretation |
|---|---|---|---|
| Chi-square/df (CMIN/DF) | < 3 | 1.98 | Good fit |
| Comparative Fit Index (CFI) | > 0.90 | 0.95 | Excellent fit |
| Tucker-Lewis Index (TLI) | > 0.90 | 0.93 | Excellent fit |
| Root Mean Square Error of Approximation (RMSEA) | < 0.08 | 0.054 | Good fit |
| Standardized Root Mean Square Residual (SRMR) | < 0.08 | 0.045 | Good fit |
| Goodness-of-Fit Index (GFI) | > 0.90 | 0.92 | Good fit |
| Adjusted Goodness-of-Fit Index (AGFI) | > 0.90 | 0.90 | Acceptable fit |
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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
