Dietary Persistent Organic Pollutants Exposure, Omega-3 Fatty Acid Intake and Type 2 Diabetes among First Nations in Canada
Bibliographic record
Abstract
The prevalence of type 2 diabetes (T2D) among First Nations (FNs) in Canada is 3 to 5 times higher than that in the general population. Besides lifestyle factors, such as physical inactivity and poor diet, exposure to persistent organic pollutants (POP) was reported to increase the risk of T2D. On the other hand, omega-3 fatty acids (n-3 FA) from fish may have a beneficial effect on T2D. This study aims to investigate the associations between POP exposure and n-3 FA intake from fish with the prevalence of T2D in a nationally representative sample of First Nations in Canada, living on-reserve south of the 60th parallel. Dietary, health and lifestyle data from the First Nations Food Nutrition and Environment Study, a cross-sectional study (2008-2017), were analyzed. The sample consisted of 6094 FNs adults living in 85 communities across Canada. The consumption of locally-harvested fish was estimated with a food frequency questionnaire. Fish samples were analyzed for the presence of POP including dichlorodiphenyldichloroethylene (DDE) and polychlorinated biphenyls (PCBs). Dietary n-3 FA intake was determined using the Canadian Nutrient File. The associations between dietary POP, n-3 FA and self-reported T2D were investigated using multiple logistic regression models adjusted for confounding factors. We will discuss the results in the context of risk-benefit assessment and use the evidence to support the development of dietary advisory associated with POP exposure.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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 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".