The effect of athletes` hyperhydration on the urinary ‘steroid profile’ markers in doping control analysis
Bibliographic record
Abstract
The urinary 'steroid profile' in doping control analysis is a powerful tool aimed at detecting intra-individual deviations related to the abuse of endogenous steroids. Factors altering the steroid profile include, among others, the excessive fluid intake leading to low endogenous steroids concentrations compared to an individual's normal values. Cases report the use of hyperhydration by athletes as a masking method during anti-doping urine sample collection. Seven healthy physically active non-smoking Caucasian males were examined for a 72-hour period using water and a commercial sports drink as hyperhydration agents (20 mL/kg body weight). Urine samples were collected and analyzed according to World Anti-Doping Agency (WADA) technical documents. Although, significant differences were observed on the endogenous steroid concentrations under the studied hyperhydration conditions, specific gravity adjustment based on a reference value of 1.020 can eliminate the dilution induced effect. Adjustment methods based on creatinine and urinary flow rate were also examined; however, specific gravity was the optimum method in terms of effectiveness to adjust concentrations close to the baseline steroid profile and practicability. No significant effect on the urinary steroid ratios was observed with variability values within 30% of the mean for the majority of data. Furthermore, no masking on the detection ability of endogenous steroids was observed due to hyperhydration. It can be concluded that any deviation on the endogenous steroid concentrations due to excessive fluid intake can be compensated by the specific gravity adjustment and therefore, hyperhydration is not effective as a masking method on the detection of the abuse of endogenous steroids.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".