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Chemical Mixture Exposures during Pregnancy and Birth Outcomes

2018· article· en· W2924812799 on OpenAlex
Geetika Kalloo, Gregory A. Wellenius, Lawrence C. McCandless, Antonia Calafat, Andreas Sjödin, Margaret R. Karagas, Aimin Chen, Kimberly Yolton, Bruce P. Lanphear, Joseph M. Braun

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueISEE Conference Abstracts · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMedicinePregnancyCotinineBirth weightPhthalateGestational ageBiomarkerUrineCohort studyProspective cohort studyObstetricsPhysiologyChemistryInternal medicineBiology

Abstract

fetched live from OpenAlex

Exposure to environmental chemical mixtures, which is prevalent among pregnant women, may be associated with altered fetal growth and gestational duration. In a prospective cohort of 380 pregnant women from Cincinnati, OH (enrolled 2003-2006), we quantified biomarker concentrations in urine and blood of 35 organic pollutants, cotinine, and 4 metals. We used K-means clustering and non-negative principal component (PC) analysis to characterize chemical mixtures among pregnant women. Then, we used multivariable linear regression to estimate and compare the covariate-adjusted associations of cluster membership or PC scores with gestational-age-specific birth weight z-score, birth length, head circumference, and gestational duration. Geometric mean biomarker concentrations were generally higher among women in cluster 1, intermediate among women in cluster 2, and lowest among women in cluster 3. Chemical biomarkers in the same structural or commercial family loaded onto the same PC. Compared with children born to women in cluster 3, children born to women in clusters 1 and 2 had 0.28 cm (95% CI: -0.86, 0.30) and 0.13 cm (95% CI:-0.65, 0.38) shorter birth length, respectively. Each standard deviation increase in PC 4 (correlated with organochlorine pesticides, cadmium, and lead) and PC 6 (correlated with mercury and monoethyl phthalate (MEP)) was associated with a 0.24 cm (95% CI: -0.49, 0.02) and 0.14 cm (95% CI: -0.42, 0.14) decrease in birth length, respectively. Chemical biomarkers with higher concentrations among women in clusters 1 and 2 loaded more strongly on both PC 4 and PC 6 than other PCs. Neither cluster membership nor PC scores were associated with birth weight z-score, head circumference, or gestational duration. In this cohort, cluster membership and PC scores reflecting exposure to cadmium, mercury, lead, organochlorine pesticides, and MEP were both inversely associated with birth length, but not other fetal growth measures or gestational duration.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.018
GPT teacher head0.246
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it