Positive Cortisol–Testosterone Hormonal Coupling Among Adolescents in Argentina and Jordan
Bibliographic record
Abstract
OBJECTIVES: Puberty is regulated by the hypothalamic-pituitary-adrenal (HPA) and gonadal (HPG) axes. It has been proposed that if HPA and HPG coactivate during pubertal development, the hormones cortisol and testosterone would be positively coupled during puberty and decoupled postpuberty. Our objective was to test for hormonal coupling in less-studied, non-Western populations. MATERIALS AND METHODS: We analyzed longitudinal and cross-sectional data from marginalized populations: Indigenous Qom/Toba females in Argentina (n = 46, 777 urine samples) and Syrian/Jordanian youth (n = 768, dried blood spots). We used Bayesian hierarchical models to assess the hypothesis that cortisol and testosterone are positively coupled during puberty but decouple at later stages. RESULTS: We found positive, age-specific cortisol-testosterone coupling among adolescents in both populations, with patterns varying by age and sex. Coupling increased across pubertal ages but did not decline at older ages, contradicting the expectation that there is hormonal de-coupling. DISCUSSION: This is the first study to demonstrate positive cortisol-testosterone coupling across adolescence in two socio-ecologically distinct, non-Western populations. While hormonal decoupling was not observed, coupling patterns suggest population-level differences in pubertal timing. These findings challenge assumptions derived from Western-based research and underscore the need for global, context-sensitive models of adolescent development.
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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 | 0.003 |
| 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".