Maternal Depressive Symptoms in the First Year after Childbirth Predict Long-Term Developmental Risks in Sons and Daughters
Bibliographic record
Abstract
Under-diagnosed and thus under-treated, maternal depression remains the most common complication of childbearing. Varying symptoms suggest persistence up to more than a decade following childbirth. This implies distinct vulnerabilities for the physical and emotional care of children. Using a prospective-longitudinal sex-stratified birth cohort of 2120 infants, we examined the relationship between early maternal depression symptoms and subsequent child psycho-social and relational characteristics. Mothers self-reported the severity and frequency of depressive symptoms 5 months after childbirth. Parents, teachers, and target participants reported on child mental health and relationships with adults, from kindergarten to tenth grade. A series of least-squares regressions were estimated, while controlling for pre-existing/concurrent child and family confounds. Both sons and daughters of mothers with more depressive symptoms were at risk of experiencing greater psycho-social impairment, classroom rule defiance, difficult relationships with teachers, less enjoyable mealtimes (age 6 years) and sleep, and coercive or inconsistent parenting practices in childhood and adolescence. For boys, these prospective associations were mostly consistent through ages 12 and 15 years. Girls also experienced more problematic interactions through to age 15 years. This study provides observations of distinct long-term vulnerabilities for sons and daughters in association with early maternal distress at important transitional periods of development in early, middle, and later childhood.
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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) | 0.002 | 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".