Early maternal risk factor profiles and their relationship to toxic stress response in infants across the first year of life
Bibliographic record
Abstract
Abstract Objective: To generate a cumulative early risk score for the perinatal maternal environment and examine the association of the maternal cumulative risk score with infant development and maternal and infant oxidative stress.Study Design: This was a two-center longitudinal study of mother-infant dyads born >36 weeks’ gestation. Maternal demographic information and mental health assessments were utilized to generate cumulative risk scores. Infants’ development was assessed at 6 and 12 months. Mothers and infants were assayed for F2-isoprostanes, a biomarker of oxidative stress.Results: Cumulative risk scores predicted higher maternal (p=0.01) and infant (p=0.05) oxidative stress levels at 6 months. Early infant oxidative stress at 2 months predicted developmental scores 12 months (p=0.04). Conclusions: Perinatal risk predicted both mother and infant outcomes at six months possibly informing a sensitive period in which prospective, reliable measures reveal the physiological impact of early environmental risk.
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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 | 0.001 | 0.003 |
| 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".