The Long-Term Effects of Maternal Postnatal Depression on a Child’s Intelligence Quotient
Bibliographic record
Abstract
OBJECTIVE: Epidemiologists have explored the relationship between maternal postnatal depression (PND) and the intelligence quotient (IQ) of the resulting offspring, but the results remain inconclusive. This study aims to analyze the literature regarding the association between maternal PND and a child's IQ. DATA SOURCES: A search of articles in PubMed, Web of Science, and MEDLINE databases from inception to September 2015 was conducted and supplemented by a manual search of relevant reference lists. The following search terms were used: (postpartum OR postnatal OR puerperal) AND (depression OR depressive symptoms OR blues OR dysthymia OR disorders OR psychosis) AND (intelligence quotient OR IQ OR intelligence tests OR intelligence OR cognitive OR cognition) AND (children OR child OR adolescent OR offspring) AND (cohort OR prospective OR follow-up OR follow OR longitudinal). STUDY SELECTION: Articles exploring the association between maternal PND and IQ of offspring aged 2 years and older were included. A total of 510 records were retrieved. DATA EXTRACTION: Two authors independently selected eligible studies and extracted data. Three authors assessed the quality of the studies. To explore the associations between maternal PND and full IQ and verbal IQ, random-effects meta-analyses were performed, followed by subgroup analysis of impact on full IQ. RESULTS: Nine articles were eligible for review. On the basis of the Newcastle-Ottawa Scale, 7 studies were considered to be of high quality. When one study of participants aged 3.8 years was excluded from the meta-analysis, the pooled weighted mean difference of full IQ between the children of PND mothers and non-PND mothers was -4.086 (95% CI, -6.578 to -1.594), and the pooled standard mean difference of verbal IQ between the children of PND mothers and non-PND mothers was -0.361 (95% CI, -0.564 to -0.158). Subgroup analysis showed that the child's age at evaluation, diagnostic method of PND, study quality, and socioeconomic status did not affect the mean difference in full IQ between children of PND mothers and those of non-PND mothers. When the excluded study was included in the meta-analysis, the results did not vary. CONCLUSIONS: Maternal PND may be a risk factor for a child's lower IQ. More studies of high methodological quality may be needed.
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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 | 0.007 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".