INTERRELATIONS BETWEEN BLOOD SERUM LEVELS OF PERSISTENT ORGANIC POLLUTANTS AND THEIR DETERMINANTS IN INUIT, POLISH AND UKRAINIAN MALES (CLEAR PROJECT)
Bibliographic record
Abstract
Background and Aims: The overall objective of the multi-center CLEAR project is to investigate the possible impact of climate change on human exposure to environmental contaminants and their impact on fertility and child development. CLEAR is a follow-up of the INUENDO project (Bonde et al 2008), comprising parent-child cohorts from Arctic and two local European populations. Numerous environmental contaminants, notably persistent organic pollutants (POPs), are suspected endocrine modulators. As many POPs have common determinants, we anticipate that future epidemiological analyses could suffer from multi-collinearity and multiple testing issues, and thus explored multivariate data analysis approaches. Methods: Cross-sectional serum blood concentrations of POPs were measured in 602 male partners of pregnant women recruited in 2002-04; 199 Inuit from Greenland, 197 from Warsaw, Poland, and 206 from Kharkiv, Ukraine. Brominated flame retardants, including the polybrominated diphenyl ethers (PBDEs) BDE-28, 47, 99, 100, 153, 154, and 183 and brominated biphenyl BB-153 were measured in a subset of 300 by GC-HR/MS. Six metabolites of di(2-ethylhexyl)phthalate (DEHP) and seven perfluorinated compounds were measured by LC-MS/MS, in addition to dichlorodiphenyldichloroethane (p,p′-DDE) and polychlorinated biphenyl congener (PCB-153) already characterized in the baseline INUENDO study (Jönsson et al 2005). We used bivariate correlation and exploratory factor analysis to explore the relationship between potential determinants and levels of POPs. Results: Geometric mean concentrations of all compounds differed significantly between the three populations (ANOVA), and highest concentrations were generally measured in Greenland. All compounds showed right skewed distributions, and a high proportion of PBDEs were below the limit of quantification. Several PBDEs and PCB-153 were highly correlated with PFCs (r>0.7). Conclusions: There is a large contrast in body burdens of POPs in the CLEAR cohorts. Multivariate exploratory factor analysis may yield additional insight into common determinants of exposure to POPs in these three populations.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".