RESULTS FROM THE CHAMACOS STUDY OF CHILDREN’S ENVIRONMENTAL HEALTH
Bibliographic record
Abstract
Background and Aims: Organophosphate (OP) pesticides are acute neurotoxicants. In the US, they are widely used in agriculture. We present the associations of OP exposure during pregnancy and neurodevelopment of children in the CHAMACOS study, a longitudinal birth cohort study of primarily Latino farmworker families living in California. Methods: We enrolled 601 pregnant women during pregnancy and conducted neurodevelopmental assessments of their children at 1 and 6 months and 1, 2, 3.5, 5, 7, and 9 years. The children are currently undergoing the 10.5 year assessment. OP pesticide exposure in the mother during pregnancy and of the children were assessed by measures of urinary dialkyl phosphate metabolites (DAPs). We also examined the association and effect modification of PON1 genotype and phenotype. Results: We found that DAP metabolites of the mother during pregnancy are related to abnormal reflexes in the neonate on the Brazelton Scale, lower mental development on the Bayley Scales and pervasive developmental disorder as reported by their mother at age 2, and lower verbal abilities at 3.5 and 5 years. When the children reached school age, we reported an association between maternal DAPs and poorer attention as reported by the mother and as measured on a continuous performance test. In addition, by age 7 years, we found that there is a significant negative relation between all subscales of the WISC IQ and maternal DAP levels but not child levels. We will also present on results with autonomic nervous system reactivity and with PON1 genotype and phenotype. Conclusions: We have found significant associations between OP exposure as measured by DAPs and child neurobehavioral development in a population living in an agricultural community. Maternal urinary DAP concentrations were higher, but nonetheless within the range of levels measured in the general U.S. population.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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, 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".