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Record W3196101162 · doi:10.1289/isee.2021.o-lt-050

Identifying periods of susceptibility to perfluoroalkyl substances and bone mineral density in early adolescence: the HOME Study

2021· article· en· W3196101162 on OpenAlex
Jessie P. Buckley, Jordan R. Kuiper, Bruce P. Lanphear, Kim M. Cecil, Aimin Chen, Yingying Xu, Kimberly Yolton, Heidi J. Kalkwarf, 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 · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBone mineralPerfluorooctanoic acidMedicineConfidence intervalPopulationPregnancyBone densityGestationDemographyPhysiologyEndocrinologyInternal medicineOsteoporosisChemistryBiologyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: Perfluoroalkyl substance (PFAS) exposures may affect childhood bone mineral density (BMD), but no studies have assessed periods of heightened susceptibility. We estimated associations of individual PFAS and their mixture during gestation and three times during childhood with BMD in early adolescence. METHODS: We examined 222 mother-child pairs enrolled in a prospective pregnancy and birth cohort in Cincinnati, OH from 2003-2006. We measured concentrations of perfluorooctanoic acid (PFOA), perfluorononanoic acid, perfluorohexanesulfonic acid, and perfluorooctanesulfonic acid in maternal serum collected at 16 weeks gestation and child serum collected at age 3, 8, and 12 years. At age 12 years, we measured areal BMD at six skeletal sites with dual x-ray absorptiometry and calculated height-, age-, sex-, and population ancestry-specific BMD Z-scores. Using linear regression, we estimated covariate-adjusted differences in BMD Z-scores per doubling of PFAS concentrations at each period. Using hierarchical Bayesian kernel machine regression (hBKMR), we estimated period-specific associations and posterior inclusion probabilities (PIPs) to determine periods of heightened susceptibility to PFAS mixtures. RESULTS:Associations were strongest for PFOA and forearm (1/3 distal radius) BMD, with differing periods of susceptibility for males and females. Among males, forearm BMD Z-score differences (95% confidence interval) per doubling of PFOA were -0.26 (-0.50, -0.02), -0.33 (-0.68, 0.02), -0.24 (-0.61, 0.13), and -0.00 (-0.30, 0.29) for gestation and ages 3, 8, and 12, respectively. Among females, the corresponding estimates were -0.12 (-0.38, 0.15), -0.07 (-0.44, 0.30), -0.30 (-0.76, 0.17), and -0.44 (-0.81, -0.07). Patterns were generally similar but weaker for other PFAS and skeletal sites. Period-specific PIPs from hBKMR models were highest for the PFAS mixture at age 8 for males (0.76) and age 12 for females (0.62). CONCLUSIONS:PFOA and PFAS mixtures were associated with lower BMD in early adolescence. Susceptibility to PFAS may occur earlier in life for males compared with females. KEYWORDS: Chemical exposures, Children's environmental health, Mixtures analysis, PFAS, Endocrine disrupting chemicals, Environmental epidemiology

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.035
GPT teacher head0.298
Teacher spread0.263 · 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