PRENATAL EXPOSURE TO PERSISTENT ORGANOCHLORINE POLLUTANTS AND DEVELOPMENETAL MILESTONES IN GREENLANDIC YOUNG CHILDREN
Bibliographic record
Abstract
Background and aim: Polychlorinated biphenyls (PCB) and dichlorodiphenyldichloroethylene (DDE) are ubiquitous lipophilic environmental compounds that bio-accumulate through the food chain via consumption of contaminated sea mammals. Inuit populations are among the populations with the highest exposure to these compounds. Small-scale studies have shown an association between PCB and DDE and delays in childhood motor skills. This paper will present the results of a large-scale follow-up study of the association between prenatal exposure to PCB and DDE and motor developmental milestones like crawling, standing and walking in early childhood. Methods: A total of 572 pregnant women from Greenland were enrolled in a cohort within the INUENDO study in 2002-2004. The follow-up, CLEAR, was conducted in 2010-2011. PCB and DDE were measured in maternal blood samples drawn when the women were on average 24 weeks pregnant. Developmental milestones were reported by mothers in a structured interview-based questionnaire when the child was 6-9 years old. Results: The collection of field data is ongoing and is expected to be completed during the summer of 2011. Results will be presented on the poster. Conclusions: The paper will be the first of its kind to present robust data owing to inclusion of a large study population living in an environment with high exposure to lipophilic environmental compounds.The study expects to provide strong evidence for or against the hypothesis of delayed developmental milestones after in utero exposure to PCB and DDE.
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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 | 0.000 |
| 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".