Epigenetic Insights into the Impact of Disaster-Related Prenatal Stress: A Narrative Review
Bibliographic record
Abstract
Disaster-related prenatal maternal stress, whether due to natural or human-made crises, can have profound effects on offspring health and development. This narrative review synthesizes research findings on the epigenetic mechanisms through which prenatal maternal stress influences long-term offspring health outcomes. Focusing primarily on DNA methylation, we examine how exposure to stress during gestation alters the epigenetic profile and may contribute to mental, cognitive, and physical health vulnerabilities. Studies were categorized based on disaster type, including time-limited events such as hurricanes, floods, and earthquakes, and stressors like the COVID-19 pandemic and famine. Key findings highlight the timing of exposure, sex-specific epigenetic effects, and the potential for epigenetic markers to mediate stress-induced health outcomes. While considerable progress has been made, our review emphasizes the need for further research on how epigenetics may mediate mental health outcomes and the development of interventions that target these molecular mechanisms.
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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) | 0.001 | 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".