Effects of exposure to pesticides during pregnancy on placental maturity and weight of newborns: A cross-sectional pilot study in women from the Chihuahua State, Mexico
Bibliographic record
Abstract
It is known that pesticides cross the placental barrier and can cause alterations in the development of placental structures resulting in adverse effects in reproduction. The objectives of this study were to investigate the effects of pesticide exposure during pregnancy on placental maturity and to evaluate the relationship between placental maturity, gestational age and birth weight. We collected the placentas from singleton pregnancies from women exposed (n = 9) and non-exposed (n = 45 full-term and n = 31 preterm) to pesticides as evaluated geographically, by questionnaire and by acetylcholinesterase levels. Placental morphometry from the central and peripheral regions was examined by microscopy and staining with hematoxylin and eosin. The placental maturity index (PMI) was estimated by dividing the number of epithelial plates in terminal villi to their thickness in 1 mm(2) of the placental parenchyma. Gestational age, birth weight and the following characteristics of the mother were also recorded: pre-pregnancy body mass index, weight gain during pregnancy and hemoglobin concentrations. Birth weight and the gestational age were correlated with PMI (r = .54 and r = .44, respectively; p < .01). Pesticide exposure was associated with a higher PMI (beta = 7.38, p = .01) after adjusting by variables related to placental maturity. In conclusion, the results suggest a relationship between prenatal exposure to pesticides and placental maturity and may potentially affect the nutrient transport from the mother to the fetus.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".