A Developmental Cascade from Prenatal Stress to Child Internalizing and Externalizing Problems
Bibliographic record
Abstract
OBJECTIVE: This study utilized a developmental cascade approach to test alternative theories about the underlying mechanisms behind the association of maternal prenatal stress and child psychopathology. The fetal programming hypothesis suggests that prenatal stress affects fetal structural and physiological systems responsible for individual differences in child temperament, which further increases risk for internalizing and externalizing problems. Interpersonal models of stress transmission suggest that maternal stress influences child mental health via early parenting behaviors. We also examined a continuation of stress hypothesis, in which prenatal stress predicts child mental health via the continuation of maternal stress in the postpartum period. METHODS: Participants were 1,992 mother-child pairs drawn from a prospective pregnancy cohort. Mothers reported on their perceived stress, anxiety, and depression during pregnancy and at 4-month postpartum. Birthweight was assessed via medical records of birthweight. At 4-month postpartum, hostile-reactive parenting behaviors were assessed. Child temperamental negative affect was measured at age 3. Child internalizing and externalizing problems were assessed at age 5. RESULTS: Prenatal stress was associated with both internalizing and externalizing problems via postnatal stress and child temperament. Prenatal stress was also associated with externalizing behaviors via increased hostile-reactive parenting. After accounting for postnatal factors, prenatal stress continued to have a direct effect on child internalizing, but not externalizing, symptoms. CONCLUSION: Results provide support for the fetal programming, interpersonal stress transmission, and continuation of stress models. Findings highlight the need for prenatal preventative programs that continue into the early postnatal period, targeting maternal stress and parenting behaviors.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".