Bibliographic record
Abstract
The presence of persistent organic halogens (POHs) in maternal plasma and milk has been recognized since the 1970s. Yet, the presence of these compounds in human milk poses a still undetermined risk to the health of mother and child. The vertical transfer of POHs during either pregnancy or after birth during breast-feeding remains a concern. The paucity of data on maternal plasma contaminant levels before and after long periods of breast-feeding poses a serious problem for researchers attempting to model contaminant changes in maternal plasma and contaminant transfer via milk to the baby. This issue is of clinical concern since there is inadequate data to model infant exposure to POHs, leading to uninformed decisions about risks and benefits of breast-feeding. To address this issue we carried out a longitudinal analysis of the association between maternal plasma p,p'-DDE (1,1-dichloro-2,2- bis(p-chlorophenyl) ethylene) load and breast-feeding duration and parity. This pesticide residue was chosen because it is both an ubiquitous and abundant POH. The women recruited for the study were 34.4 + 2.8 yr and had breast-fed an average of 2.1 children a total of 64.6 + 32.6 weeks when they were sampled at the end of the study. A questionnaire was used to determine the mother's breast-feeding activity. We found that the women had very low levels of p,p'-DDE in their plasma and milk compared to other populations in the world and that the trend in Canada towards lower contaminant loads has been sustained in our study population. The regression of change in plasma p,p'-DDE with breast-feeding duration is significant (p < 0.01, F = 15.80, and n=12). We found that maternal plasma p,p'-DDE levels changed by 0.0057 μg/L for every week of breast-feeding. Thus, women breast-feeding their infants lost, on average, 30 μg of this contaminant per week. These results suggest that maternal depuration of p,p'-DDE via breast-feeding is a significant cause of maternal contaminant loss and contaminant accumulation in the baby.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".