Monitoring Contaminants and Nutrients in Human Milk: The Canadian Experience
Bibliographic record
Abstract
MAA4-PD-10 Introduction: Surveys of selected persistent organic pollutants (POPs) in Canadian human milk were undertaken in 1967, 1975, 1981, 1986, and 1992. Methodology: The cross-sectional surveys recruited between 100 and 500 Canadian mothers from rural and urban centers within 5 designated regions (Atlantic, Quebec, Ontario, Prairies, and British Columbia). Results: The data served as an indicator of the mother's body burden and infant's dietary exposure, and allowed an assessment of temporal trends. Since 1967, there has been a steady decline in the human milk levels of DDT, dieldrin, and heptachlor epoxide. The concentrations of PCBs and β-hexachlorocyclohexane showed a general downward trend except for a sharp peak in 1982. Dioxins and furans were incorporated in the analysis as of 1981. Between 1981 and 1986, the levels dropped by half and remained constant through 1992. Discussion and Conclusions: Despite the detection of these POPs in mother's milk, it was recommended that the nutritional, psychologic, and immunologic benefits provided from the milk to the child outweigh the health risks from exposure to these contaminants. In its continual role of safeguarding the health of infants, the Health Products and Food Branch of Health Canada is planning the sixth national human milk survey for environmental, nutritional, and immunologic analytes to take place in 2007 to 2008 with a pilot in 2006 to 2007. National human milk surveys strengthen health risk assessments in infants (including promotion of breastfeeding) and support measures to reduce exposure to environmental contaminants.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".