Anthropometry and body composition do not predict bioavailable androgen or progesterone concentration in adolescent girls
Bibliographic record
Abstract
Our objective was to test the hypothesis that anthropometry and body composition were independently associated with sex-steroid concentration in adolescent girls. Premenarcheal (age, mean +/- SD = 10.9 +/- 0.6, N = 51), perimenarcheal (age = 13.7 +/- 0.6, N = 74), and postmenarcheal (age = 16.7 +/- 0.6, N = 44) cohorts provided saliva at morning recess during the schoolday over 6 weeks. Estradiol, testosterone, progesterone, and dehydroepiandrosterone (DHEA) were quantified. Age, developmental cohort, self-reported Tanner stage of breast development and pubic-hair distribution, gynecological age, height, weight, waist/hip ratio, and percent body fat (by impedance) were assessed. Repeated measures were reduced to a mean. Data were hierarchically standardized for sexual maturation status, and then used to predict anthropometry/percent body fat. After intensive repeated sampling, individuals still varied widely in testosterone, progesterone, and DHEA concentrations within a developmental cohort (35.0 < or = coefficient of variation < or = 66.5%). Individual hormone concentration was repeatable across 2 years (0.51 < or = r(2) < or = 0.73). In spite of the variability within a cohort, there was no evidence for an association between the standardized hormone and body mass index, percent body fat, or waist/hip ratio, whether or not measures were age-adjusted (21 univariate tests; 0.19 < or = P < or = 0.96). Stratification by developmental cohort also did not reveal associations. Low estradiol assay precision precluded analyses. In conclusion, despite considerable population variation in hormone concentration after repeated sampling, no evidence supported an association between anthropometry or pecent body fat and testosterone, progesterone, or DHEA in adolescent girls.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".