Associations of mid-childhood bisphenol A and bisphenol S exposure with mid-childhood and adolescent obesity
Bibliographic record
Abstract
BACKGROUND: Bisphenol A (BPA) is a suspected obesogen that has been associated with adiposity in children. Bisphenol S (BPS), a structural analog of BPA, is used as a BPA substitute and may have similar health effects as BPA. However, few studies have examined whether BPS is associated with childhood adiposity. METHODS: We quantified urinary BPA and BPS concentrations in 212 children age 8 years from the HOME Study, a prospective pregnancy and birth cohort study that enrolled pregnant women in Cincinnati, Ohio (2003-2006). We assessed children's adiposity by bioelectric impedance at age 8 years (n = 212), and by anthropometry and dual-energy X-ray absorptiometry at age 12 years (n = 181). We measured serum adipocytokine concentrations at age 12 years (n = 155). Using multivariable linear regression, we estimated covariate-adjusted associations of BPA and BPS with adiposity measures at ages 8 and 12 years and adipocytokine concentrations at age 12 years. RESULTS: Each 10-fold increase in urinary BPA concentrations were inversely associated with percent body fat at age 8 years [β = -1.2, 95% confidence interval (CI) = -3.4, 1.0] and 12 years (β = -1.6, 95% CI = -4.0, 0.9). In contrast, urinary BPS concentrations were positively associated with percent body fat at age 8 years (β = 1.1, 95% CI = -0.6, 2.7), but not at 12 years (β = 0.1, 95% CI = -1.7, 1.8). Urinary BPA and BPS concentrations were not associated with serum adiponectin or leptin concentrations. CONCLUSIONS: We did not observe evidence that urinary BPA or BPS concentrations during childhood were associated with greater child adiposity at ages 8 and 12 years in this cohort.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".