Association Between Intellectual Disability and Hair Cortisol Concentration in Adolescents in a Brazilian Population‐Based Birth Cohort
Bibliographic record
Abstract
OBJECTIVE: Children with intellectual disability (ID) usually exhibit neuroendocrine functioning impairment, such as alterations in the hypothalamic-pituitary-adrenal (HPA) neuroendocrine axis, which can result in glucocorticoid cortisol release alterations. Indeed, many studies showed a positive association between ID and cortisol concentration. However, evidence is lacking on the relationship between child neurodevelopment and cortisol levels during adolescence in population-based studies. We aimed to test the association between ID and hair cortisol concentration (HCC) during adolescence in a prospective population-based cohort. METHODS: Data from 1770 individuals in the 2004 Pelotas Birth Cohort were used. ID was diagnosed at age 6 through clinical examination. Hair cortisol was measured at age 15. Association was assessed using linear regression models adjusted for sex, socio-economic factors, hair-related variables and corticosteroid use. RESULTS: Higher HCC were observed in individuals with ID (β: 1.120; 95% CI: 1.012, 1.241) in the analysis adjusted for sex, hair-related variables and corticosteroid use. Compared to the other aetiological groups, this was more evident in idiopathic ID. But this did not remain significant when demographics/socio-economic variables were controlled for. CONCLUSION: Children with ID, particularly those with idiopathic ID, might exhibit dysfunction in the HPA axis or experience heightened stress levels during adolescence.
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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 | 0.002 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".