Child temperament and parental depression predict cortisol reactivity to stress in middle childhood.
Bibliographic record
Abstract
Children's cortisol reactivity to stress is an important mediator of depression risk, making the search for predictors of such reactivity an important goal for psychopathologists. Multiple studies have linked maternal depression and childhood behavioral inhibition (BI) independently to child cortisol reactivity, yet few have tested multivariate models of these risks. Further, paternal depression and other child temperament traits, such as positive emotionality (PE), have been largely ignored despite their potential relevance. We therefore examined longitudinal associations between child fear/BI and PE and parental depression, and children's cortisol stress reactivity, in 205 7-year-olds. Paternal depression and child fear/BI predicted greater cortisol stress reactivity at a follow-up of 164 9-year-olds, and maternal depression and child PE interacted to predict children's cortisol reactivity, such that higher child PE predicted lower cortisol reactivity in the context of maternal depression. Results highlight the importance of both parents' depression, as well as multiple facets of child temperament, in developing more comprehensive models of childhood cortisol reactivity to stress.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".