The association between maternal urinary Bisphenol A levels and neurodevelopment at age 2 years in Chinese boys and girls: A prospective cohort study
Bibliographic record
Abstract
The impact of maternal exposure to Bisphenol A on child cognitive development as well as its sex dimorphism remains uncertain. This study used data of 215 mothers and their children from a birth cohort in Shanghai. Urinary BPA were measured in spot urine samples of mothers at late pregnancy and children at age 2 years. Cognitive development was evaluated by Ages & Stages Questionnaires, Third Edition (ASQ-3) at age 2 years. Urinary BPA was detectable in 98.9% of mothers (geometric mean, GM: 2.6 μg/g. creatinine) and 99.8% children (GM: 3.4 μg/g. creatinine). Relative to the low and medium BPA tertiles, high tertile of maternal urinary BPA concentrations were associated with 4.8 points lower (95% CI: -8.3, -1.2) in gross motor and 3.7 points lower (95% CI: -7.4, -0.1) in problem-solving domain in girls only, with adjustment for maternal age, maternal education, pre-pregnancy BMI, passive smoking during pregnancy, parity, delivery mode, birth-weight for gestational age, child age at ASQ-3 test. This negative association remained with additional adjustment for child urinary BPA concentrations at age 2 years. No association was observed in boys. These results suggested the sex-dimorphism on the associations of maternal BPA exposure with gross motor and problem-solving domains in children at age 2 years. This study also indicated that optimal early child development should start with a healthy BPA-free "in utero" environment.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".