Long-term effects of doping with anabolic steroids during adolescence on physical and mental health
Bibliographic record
Abstract
BACKGROUND: Systematic doping programs like in the GDR were applied in adolescent competitive athletes to induce supramaximal athletic performance. The substances had adverse somatic and psychological effects. The psychological development of the young athletes was impaired and they suffered in adulthood from long-term effects and secondary diseases even years after the doping period. METHOD: The study compared three groups: competitive athletes with doping (I), competitive athletes without doping (II) and persons with no sports activities (III). Somatic and psychological diseases were analyzed to identify the adverse effects of doping in the most vulnerable phase of development in adolescence. Participants were asked to supply a patient history and completed a questionnaire with standardized psychological tests. RESULTS: The doping cohort had a higher rate of somatic diseases, psychological disorders and social and professional difficulties. The differences were gender-specific with males more often having impaired liver function, depression, tumors and difficulties associated with the workplace . The doping group reported more emotional and physical neglect during childhood. They proved to be less optimistic but more pessimistic, to perceive less social support and to be more depressive. The study identified less extraversion and more neuroticism. Posttraumatic stress disorder (PTSD) occurred in a small number of participants in the doping group. Doping is associated with psychiatric variables. Predictors were the subscale identifying feelings of the Toronto alexithymia scale 20 (TAS-20), the sense of coherence and the Beck depression inventory 2 (BDI-II) and the Beck depression inventory (BDI). CONCLUSION: Physical and psychosocial effects imply correlation with the application of doping substances but might not only be due to the side effects of these substances but also caused by the system, which exerts great psychological pressure and stress during adolescence, a highly vulnerable phase.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".