AIMC Topic: Maternal Exposure

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Prenatal exposure to criteria air pollution and traffic-related air toxics and risk of autism spectrum disorder: A population-based cohort study of California births (1990-2018).

Environment international Jul 1, 2025
BACKGROUND: Autism spectrum disorder (ASD) prevalence has risen steadily in California (CA) over several decades, with environmental factors like air pollution (AP) increasingly implicated. This study investigates associations between prenatal exposu...
Air Pollutants Air Pollution Particulate Matter Male Cohort Studies Maternal Exposure Vehicle Emissions Traffic-Related Pollution California Prenatal Exposure Delayed Effects Humans Autism Spectrum Disorder Female Adult Pregnancy
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Exploring the link between grandmaternal air pollution exposure and Grandchild's ASD risk: A multigenerational population-based study in California.

Environment international Jun 1, 2025
BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with increasing prevalence. While genetics play a strong causal role, among environmental factors, air pollution (AP) exposure in pregnancy and infancy has been strongly endo...
Risk Factors Adult Male Pregnancy Female Air Pollutants Air Pollution Particulate Matter Infant Child Humans Autism Spectrum Disorder Prenatal Exposure Delayed Effects Maternal Exposure Grandparents Environmental Exposure California
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Machine learning-based analysis on factors influencing blood heavy metal concentrations in the Korean CHildren's ENvironmental health Study (Ko-CHENS).

The Science of the total environment May 25, 2025
Heavy metal concentration in pregnant women affects neurocognitive and behavioral development of their infants and children. The majority of existing research focusing on pregnant women's heavy metal concentration has considered individual environmen...
Humans Machine Learning Environmental Pollutants Pregnancy Metals, Heavy Prospective Studies Female Environmental Health Maternal Exposure Adult Republic of Korea
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Effects of neonicotinoid pesticide exposure in the first trimester on gestational diabetes mellitus based on interpretable machine learning.

Environmental research May 15, 2025
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications and seriously threatens the health of mothers and offspring. Neonicotinoids (NEOs) is a new class of pesticide and widely used worldwide. Prenatal NEOs ...
Pesticides Neonicotinoids China Maternal Exposure Machine Learning Humans Pregnancy Trimester, First Prospective Studies Female Diabetes, Gestational Pregnancy Adult
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A scoping review and quality assessment of machine learning techniques in identifying maternal risk factors during the peripartum phase for adverse child development.

PloS one Jan 1, 2025
Maternal exposure to environmental risk factors (e.g., heavy metal exposure) or mental health problems during the peripartum phase has been shown to lead to negative and lasting impacts on child development and life in adulthood. Given the importance...
Maternal Exposure Child Development Peripartum Period Female Risk Factors Child Machine Learning Humans Pregnancy
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An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

Medicine Feb 1, 2017
An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based case-control study involved 119 CHD cases and 239 controls all recruited from birth defect surveillanc...
Health Status Risk Factors Maternal Exposure Adult Heart Defects, Congenital Pregnancy Diet Humans Logistic Models Reproductive History Sensitivity and Specificity Neural Networks, Computer Case-Control Studies Socioeconomic Factors Female
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