Associations between prenatal stress with offspring inflammation, depression and anxiety
Bibliographic record
Abstract
PURPOSE: Few longitudinal studies have investigated the mediating role of inflammation during childhood in associations between prenatal maternal stress and adolescent mental health. The objective of this study was to examine the associations between prenatal maternal stress, concentrations of immune markers at age 9, and symptoms of generalized anxiety disorder (GAD) and depression during adolescence. METHODS: This study included 3723 mother-child pairs from the Avon Longitudinal Study of Parents and Children (ALSPAC). Prenatal maternal stress was examined using 55 items measured during pregnancy. Inflammation was assessed using serum concentrations of interleukin-6 (IL-6) and C-reactive protein (CRP) when children were 9 years old. GAD and depression were assessed when children were 16 and 18 years of age, respectively. Analyses comprised of structural equation models. RESULTS: Prenatal maternal stress was associated with higher concentrations of IL-6 in childhood, and with greater symptoms of depression and GAD in adolescence. However, we did not observe associations between prenatal maternal stress and CRP; also, CRP and IL-6 were not associated with depression and GAD. There was no evidence that CRP and IL-6 mediated the associations between prenatal maternal stress and either GAD or depression. CONCLUSIONS: Prenatal maternal stress is associated with IL-6 levels in childhood, and with GAD and depression during adolescence. Future studies should examine immune activity at multiple points during development in relation to mental health into adulthood to determine whether inflammation at different points during development could increase risk for mental health problems among children whose mothers experienced significant stressors during pregnancy.
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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) | 0.000 | 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".