Persistent Organic Pollutants Associated With Elevated Risk Indicators of Metabolic Syndrome in Artic Women
Bibliographic record
Abstract
P-344 Abstract: Human exposure to pollution in the Arctic is a potential health risk for the local populations. Epidemiological studies in Greenland have shown that human blood levels of several organic contaminants are very high, mainly in North and North East Greenland where people depend on local food. In Ittoqqortoormiit (Scoresbysund) the population has the highest blood levels of several organic pollutants found in Arctic countries, especially PCB which exceed Canadian guideline levels. Thus these populations may be at increased risk for any potential adverse effect of long time exposure to organic pollutants. Study Design: The cross-sectional study which was part of the Arctic Monitoring and Assess Programme included 187 men and 168 women (18–49 years) from 4 districts in Greenland. It was based upon questionnaires including dietary survey, anthropometric measures, blood lipids analysis, heavy metals and organic pollutants (betaHCH, chlordanes, DDTs, Hexachlorobenzene, Mirex, PCBs, and toxaphenes). Results: Compared to earlier epidemiological studies in Greenland we found an increasing proportion of overweight subjects and increased levels of serum triglyceride, cholesterol and cardiovascular risk indices. The plasma n–3 fatty acids were still associated with the well known lowering effect on serum- triglycerides. However, this effect was only significant after adjusting for PCBs and/or DDTs which were found to be associated with elevated levels of s-triglyceride and lower HDL. Among women only and after adjustment for age, BMI, n–3/n–6, DDE and DDT, several PCB congeners (CB 99,101,105,128,183) were found to be significantly correlated with increased levels of triglyceride and decreased levels of HDL. Whereas CB 138, 153, 156, 170 and 180 were neutral. Conclusion: It thus seems that for women long time exposure to specific PCB-congeners in the Arctic diet increases risk for metabolic syndrome, despite the protective effect of the dietary fatty acids.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".