Adverse effects of pollution on mental health: the stress hypothesis
Bibliographic record
Abstract
Introduction Environmental contaminants are ubiquitous. Among the most studied environmental contaminants, lead, mercury, polychlorinated biphenyls and pesticides have been found to impact mental health. In particular, exposure to environmental contaminants has been related to executive functions and emotional/ behavioural maladjustment in children, and cognitive variability in elders. We hypothesise that the association between environmental contaminants and mental health, particularly in children and elders, could be explained by a disruption of the stress system. Discussion Environmental contaminants act at very low levels of exposure that are not reflected by high doses. Therefore, public regulation agencies are consistently reducing acceptable blood levels of exposure. For example, clinical management plans for children and elders at risk of toxicity are thus adapted to reflect the novel blood lead action level. Environmental contaminants acting at such low doses were found to be endocrinedisrupting chemicals, and most studies have thus focused on the sexual steroids system. However, the stress system, which produces glucocorticoids, has been overlooked. *Corresponding author Email: pierrich.plusquellec@umontreal.ca 1 Centre for Studies on Human Stress, Department 226, 7401 Hochelaga, Montreal, H1N3M5 Quebec, Canada 2 School of Psychoeducation, University of Montreal, Montreal, Quebec, Canada
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".