Gestational endocrine disrupting chemical exposure and autistic behaviors in 4 to 5 year old children from Cincinnati OH
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Endocrine disrupting chemicals (EDCs) may increase the risk of autism, possibly by perturbing fetal hormone signaling or metabolism, but this complex exposure mixture makes identifying the most relevant EDCs difficult. Aims: To identify gestational EDC exposures associated with autistic behaviors. Methods: We measured the concentrations of 52 EDCs including 8 phthalate metabolites, bisphenol A (BPA), 25 polychlorinated biphenyls (PCBs), 6 organochlorine pesticides, 8 brominated flame retardants, and 4 perfluorinated chemicals in blood or urine samples from 175 pregnant women from the HOME Study (Cincinnati, OH). When children were 4 and 5 years old, mothers completed the Social Responsiveness Scale (SRS), a valid/reliable measure of autistic behaviors including interpersonal behavior/communication deficits and repetitive/stereotypic behaviors (mean:50, SD:10). We estimated the association between SRS scores with increasing EDC concentrations using a 2-stage semi-Bayesian hierarchical analysis to adjust for sociodemographic, perinatal, and maternal factors, as well as co-pollutant confounding. Results: The absolute difference in SRS scores associated with most EDCs was negligible (~1 point). Notable exceptions included better SRS scores among children born to women with detectable vs. non-detectable serum PCB-178 (beta:-3.3; 95% confidence interval [CI]:-6.5, -0.1) or b-hexachlorocyclohexane (beta-HCH) concentrations (beta:-3.0; CI:-5.8, -0.2), and increasing serum perfluoroctane (PFOA) concentrations (beta:-1.9; CI:-4.3, 0.5). Higher serum polybrominated diphenyl ether-28 (PBDE-28; beta:2.5; CI:-0.6, 5.6) and trans-nonachlor (beta:4.0; CI:0.7, 7.2) concentrations were associated with worse SRS scores. Conclusion:Although our modest sample size precludes us from dismissing chemicals as risk factors for autistic-like behaviors, we conclude that beta-HCH, PCB-178, PBDE-28, PFOA, and trans-nonachlor deserve additional scrutiny as factors that may increase or decrease the risk of autism in children.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.004 | 0.001 |
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 it