Impact of Prenatal Stress on Autonomic Nervous System Functioning and Psychopathology Risk in Early Childhood: The Harvey Mom Study
Bibliographic record
Abstract
ABSTRACT Prior human and animal research suggests prenatal stress alters developmental systems that support stress and emotion regulation in offspring, which may underlie vulnerability to psychopathology risk. We examined prospective associations between prenatal stress from a natural disaster and infant biobehavioral outcomes across toddlerhood. Women pregnant during Hurricane Harvey in 2017 completed assessments of their objective levels of hardship and their subjective distress from the disaster. Offspring ( n = 47) completed follow‐up assessments at 24 months to collect autonomic nervous system activity (respiratory sinus arrhythmia, RSA; heart rate, HR) during a stressor task. Parents assessed their children's behavioural problems at 24 and 48 months of age. Increased objective hardship was associated with greater HR reactivity and recovery. Prenatal subjective distress was associated with increased child behaviour problems at 24 months. Higher behaviour problems at 24 months of age were also associated with HR reactivity and recovery. No significant effects with RSA reactivity or recovery were observed. Findings suggest that prenatal stress is an important predictor of offspring biobehavioral risk. Further research is needed to explore longitudinal pathways.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".