Maternal Psychosocial Risk Profiles in Pregnancy: Associations With Postpartum Maternal Health and Child Outcomes
Bibliographic record
Abstract
Previous research on prenatal stress and social support has primarily involved variable-centered approaches, with limited knowledge on whether profiles exist, how early childhood adversity experiences predict these profiles, and whether these profiles are differentially associated with maternal and child outcomes postnatally. Using a pregnancy cohort ( N = 1,994), we identify three distinct profiles of maternal stress and maternal social support: low stress–high support (69.4%), moderate stress–moderate support (25.7%), and high stress–low support (4.9%). Mothers in the high stress–low support group experienced more physical/emotional abuse in childhood, whereas mothers in the moderate stress–moderate support group experienced more family dysfunction. The moderate and the high stress groups had poorer reproductive and physical health, and mothers reported their children had poorer developmental outcomes compared with the low stress–high support mothers. Identifying levels of stress and social support in pregnancy and implementing interventions for mothers at risk is crucial in the pursuit to mitigate family-wide deleterious outcomes.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".