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Record W4320066174 · doi:10.1289/isee.2022.o-sy-062

Contamination of country foods by perfluoroalkyl acids in the Arctic

2022· article· en· W4320066174 on OpenAlex
Amira Aker, Pierre Ayotte, Élyse Caron-Beaudoin, Amila O. De Silva, Marie-Josée Gauthier, Amélie Bouchard, Mélanie Lemire

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueISEE Conference Abstracts · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsNunavik Regional Board of Health and Social ServicesEnvironment and Climate Change CanadaUniversity of TorontoThe Scarborough HospitalInstitut National de Santé Publique du QuébecUniversité Laval
Fundersnot available
KeywordsPerfluorooctanoic acidPerfluorooctaneArcticBeluga WhaleEnvironmental healthFood consumptionEnvironmental scienceFood scienceBiologyEnvironmental chemistryChemistryEcologyMedicineSulfonate

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.018
GPT teacher head0.260
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it