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Record W2919970254 · doi:10.1289/isee.2011.01016

PRENATAL MANGANESE EXPOSURE AND FETAL GROWTH IN LIMÓN, COSTA RICA: DATA FROM THE INFANTS’ ENVIRONMENTAL HEALTH (ISA) STUDY

2011· article· en· W2919970254 on OpenAlexaff
Ana M. Mora, Berna van Wendel de Joode, Leonel Córdoba, Juan Camilo Cano, Rosario Quesada-Varela, José Antonio Menezes, Donald R. Smith, Catharina Wesseling, Donna Mergler, Brenda Eskenazi

Bibliographic record

VenueISEE Conference Abstracts · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsMedicineEnvironmental healthPopulationPregnancyPrenatal exposureDemographyBiologyGestation

Abstract

fetched live from OpenAlex

Background and aims: Mancozeb is the most widely used pesticide in banana plantations in Costa Rica. Recent studies suggest that mancozeb use potentially exposes agricultural workers and their families to manganese (approximately 21% by weight of mancozeb). Our study aims to determine whether prenatal exposure to manganese from mancozeb applications is associated with fetal growth. Methods: The study population includes the participants of the Infants’ Environmental Health (ISA) Study, a birth cohort study of 450 mother-child pairs living in communities near banana plantations with large-scale production and pesticide use in Limón, Costa Rica. To assess prenatal exposure to manganese, maternal hair and blood manganese levels were measured during the first, second, and third trimester. Determinants of exposure including residential proximity to banana plantations, household members’ pesticide use patterns, and housing quality were examined. Questionnaires have been administered to the women during the first, second, and third trimester and shortly after delivery to ascertain information on sociodemographic characteristics, lifestyle habits, and occupational history. Birth outcomes are being abstracted from the newborns’ Official Cards of Health. Multiple linear regression models and G-computation estimators will be used to examine the association between prenatal manganese exposure and fetal growth. Results: We have completed enrollment of 370 mother-child pairs. Blood and hair samples have been sent for analysis and approximately 100 women have delivered. Preliminary analysis of 26 hair samples collected during the first or second trimester showed a significant difference in mean hair manganese levels between pregnant women living less than 100 meters away from a banana plantation and women living more than 100 meters away (Student t-test, p<0.05). We will present the full results of the relationship between hair and blood manganese, birth weight, and gestational duration in approximately 250 children. Conclusion: This early finding suggests that hair manganese levels could be associated with proximity to banana plantations, and consequently with mancozeb exposure. Full results of the analysis with fetal growth will be presented and discussed.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.071
GPT teacher head0.266
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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