EFFECTS OF PRENATAL EXPOSURE TO ORGANOCHLORINES AND MERCURY ON GROWTH PARAMETERS IN INUIT NEWBORNS FROM THE CANADIAN ARCTIC
Bibliographic record
Abstract
Background: Maternal consumption of seafood during pregnancy has been shown to be a source of exposure for the foetus to several environmental contaminants (ECs), including polychlorinated biphenyls (PCBs), chlorinated pesticides (CPs) and methylmercury (MeHg). These ECs have been found to be related to impaired foetal growth and shorter pregnancy duration in previous studies. On the other hand, seafood products are also an excellent source of docosahexaenoic acid (DHA), which has been shown to have beneficial effects on pregnancy outcomes and foetal growth. So far, it remains unclear if DHA intake during pregnancy can attenuate the potential adverse effect of ECs on foetal growth. Objectives: To investigate the association of in utero exposure to ECs with pregnancy duration and foetal growth while taking into account the possible beneficial effects of DHA. Methods: Pregnant Inuit women (n = 251) from Nunavik (Canada) were interviewed at mid-pregnancy and 1 month postpartum. Umbilical cord blood samples were collected from their newborns and analyzed for contaminants and DHA. Birth weight, length and head circumference were measured, and gestational age was assessed from date of last menstrual period. Multiple linear regressions and path models were used to evaluate direct effects of exposure to ECs on growth parameters and indirect effect on foetal growth through their impact on pregnancy duration. Results: PCB 153, two CPs and MeHg were negatively associated with pregnancy duration in multivariate models. Indirect models revealed that all ECs were negatively associated with growth measurements through their negative relationships with pregnancy duration. Conversely, umbilical cord DHA concentration was positively related to growth parameters through its positive association with gestation duration. Conclusion: In utero exposure to ECs of Inuit newborns was associated with reduced pregnancy duration, which adversely affects foetal growth. However, cord DHA appears to mitigate these effects on growth by prolonging gestational length.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".