Perinatal Determinants of Mental Disorders Identifying Risk Factors and Testing the Effectiveness of Early Interventions on Infant and Child Emotion Regulation
Bibliographic record
Abstract
Objectives: To investigate the preventive potential of the Developmental Origins of Health and Disease (DOHaD) hypothesis as it pertains to emotion dysregulation and psychopathology by: i) elucidating the impact of modifiable perinatal risk factors, and ii) examining whether a postnatal intervention can improve infant emotion regulation. Methods: Studies 1 and 2 used data from the Canadian Healthy Infant Longitudinal Development (CHILD) cohort and the Maternal-Infant Research on Environmental Chemicals (MIREC) cohort to examine if modifiable perinatal risk factors (including prenatal diet quality) confounded the link between prenatal metabolic complications and offspring psychopathology. Study 3 used MIREC data to examine if prenatal diet quality was linked to a biomarker of emotion regulation in infants (autonomic nervous system (ANS) function). Studies 4 and 5 used data from 40 infants of mothers diagnosed with postpartum depression (PPD) and 40 healthy control infants matched on infant age sex and socioeconomic status. These studies examined if infant emotion regulation (Study 4) and mother-infant physiological synchrony (a marker of dyadic emotion regulation-Study 5) improved following maternal cognitive behavioral therapy (CBT) for PPD. Results: In Studies 1 and 2, prenatal diet quality accounted for significant variance in the links between prenatal metabolic complications and offspring psychopathology. In Study 3, poor prenatal diet quality was associated with adverse ANS development in offspring. In Studies 4 and 5, infants exhibited more adaptive emotion regulation and mother-infant synchrony improved following maternal receipt of CBT for PPD. v Conclusions: Elucidating the impact of modifiable perinatal risk factors on offspring psychopathology provides meaningful targets for intervention, and postnatal interventions may improve offspring emotion regulation and could reduce the risk of psychopathology. This work highlights the importance of the perinatal period as a time during which modifiable risk factors can be identified and intervened upon to reduce mental disorder risk across the lifespan.
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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 | 0.000 |
| 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 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".