Contamination of country foods by perfluoroalkyl acids in the Arctic
Bibliographic record
Abstract
BACKGROUND AND AIM: Perfluoroalkyl acids (PFAAs) are synthetic chemicals used in industrial and consumer applications. They are exceptionally stable and highly mobile in the environment, and have been detected in high concentrations in Nunavik Inuit adults. The study’s objectives were to study the associations between dietary profiles in Nunavik and PFAAs concentrations, and the associations between specific foods and PFAAs concentrations. METHODS: The study used data from the Qanuilirpitaa? 2017 Nunavik Inuit Health Survey. Nine PFAAs congeners were measured in plasma samples, including perfluorooctane sulfonate (PFOS), perfluorohexane sulfonate (PFHxS), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA) and perfluoroundecanoic acid (PFUdA). Dietary profiles were identified using latent profile analysis. Multiple linear regression models regressed log-transformed PFAAs concentrations against the dietary profiles, adjusting for sociodemographic variables. Elastic net was used to look at associations between PFAAs and dietary variables. RESULTS: We identified strong associations between the dietary profile defined by frequent country food consumption and all PFAAs congeners (PFOA, PFNA, PFDA, PFUdA, PFHxS, and PFOS) compared to the dietary profile defined by frequent market food consumption. Individuals with low consumption of all foods also had higher concentrations of all PFAAs congeners compared to individuals with frequent market food consumption. The associations were stronger with profiles defined by more frequent country food consumption, and particularly those with increased marine mammal consumption. Elastic net identified marine mammal products (seal liver, beluga misirak), wild birds (ptarmigan, goose eggs), Arctic char and fish roe as main exposure sources. CONCLUSIONS: Increased country food consumption was strongly associated with higher PFAAs concentrations, particularly PFOS and long-chain PFAAs congeners. The results provide further evidence that Arctic communities are disproportionately impacted by PFAAs, and further national and international regulations are required to protect the exceptional quality of country foods. KEYWORDS: PFAS; exposure; food; Indigenous
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".