Infant emotion regulation strategy moderates the relation between maternal depressive symptomatology and infant HPA-Axis regulation
Bibliographic record
Abstract
Children of depressed mothers often have atypical cortisol levels. Child characteristics associated with emotion regulation difficulties moderate associations between maternal depression and child hypothalamic-pituitary-adrenal (HPA) activity. We hypothesize that infants of more depressed mothers who utilize more independent emotion regulation will have higher cortisol levels. Mother-infant dyads (N = 193) were recruited from the community. Maternal depression was assessed using the Beck Depression Inventory II, infant regulation strategies were coded during a Toy Frustration Task, and cortisol was collected at baseline, 20, and 40 minutes after two challenges (Toy Frustration and Strange Situation). Results indicate that infant emotion regulation moderates associations between maternal depressive symptoms and infant total cortisol output (AUCG) and cortisol reactivity (AUCI), during the Toy Frustration task. Infants who used more independent regulation had elevated cortisol secretion. Associations were not replicated during the Strange Situation procedure. Findings are discussed in terms of adaptive emotional and physiological regulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".