The impact of maternal positive and negative affect on fetal physiology and diurnal patterns.
Bibliographic record
Abstract
BACKGROUND: While research has shown that maternal mood (depression and/or anxiety) can have effects on the fetus, little is known about whether maternal positive and negative affect influences the fetus. METHOD: We examined fetal vascular and heart rate changes at 36 weeks gestation in 53 euthymic mothers according to their Positive and Negative Affect Scale (PANAS) scores. RESULTS: Mothers who reported high levels of negative affect showed reduced uterine artery flow, decreased fetal heart rate (fHR) variability, an altered diurnal pattern, and decreased uterine artery cross-sectional area compared to mothers who reported low levels of negative affect. Mothers with low positive affect had a steeper diurnal pattern in fHR accelerations and decreased uterine artery mean velocity flow than mothers with high positive affect. LIMITATIONS: Our observational study suffers from a small sample size. CONCLUSION: Even in the absence of an Axis I Major Depressive Disorder (MDD), variations in maternal affect appear to be associated with variations in fetal and uterine physiology.
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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) | 0.001 | 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 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".