An examination of traditional foods and cigarette smoking as cadmium sources among the nine First Nations of Eeyou Istchee, northern Quebec, Canada
Bibliographic record
Abstract
Cadmium (Cd), a nonessential toxic metal present in the environment, accumulates in the organs of herbivorous mammals which typically are consumed by Aboriginal populations. The relative contribution of this potential exposure source to concentrations of blood Cd was investigated in 1429 participants (age >7 years) residing in the nine Cree First Nations communities of Eeyou Istchee, northern Quebec, Canada. Analysis of variance identified significant Cd concentration differences between communities, sex, and age groups, although these were complicated by significant 2-way interactions. The percentage of participants with Cd concentrations within the adopted health-based guideline categories of 'acceptable', 'concern' and 'action' pertaining to kidney damage was 56.2%, 38.3%, and 5.5%, respectively. Partial correlations (controlling for age as a continuous variable) did not show a significant association between consumption of traditional foods and Cd concentrations (r = 0.014, df = 105, p = 0.883). A significant and positive partial correlation (r = 0.390, df = 105, p < 0.001) was observed between Cd concentrations and number of cigarettes smoked daily. Analysis of covariance (with mean daily organ meat consumption over the year as a covariate) confirmed that smokers had significantly higher levels of blood Cd than non-smokers (F1,1109 = 1918.2, p < 0.001), and that traditional food consumption was not a good predictor of Cd exposure. Our findings suggest that consumption of traditional foods should not be restricted in Eeyou Istchee for fear of increased Cd exposure risk. Further studies of smoking prevalence among the Cree First Nations and additional public health initiatives to reduce smoking are recommended.
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.
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 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".