The Effect of Maternal Exposure to Air Pollutants and Heavy Metals during Pregnancy on the Risk of Neurological Disorders Using the National Health Insurance Claims Data of South Korea.
Kuen Su LeeWon Kee MinYoon Ji ChoiSejong JinKyu Hee ParkSuhyun KimPublished in: Medicina (Kaunas, Lithuania) (2023)
The objective of this study was to evaluate the effects of high levels of maternal exposure to ambient air pollution and heavy metals on risks of autism spectrum disorder (ASD) and epilepsy using the National Health Insurance claims data of South Korea. The data of mothers and their newborns from 2016 to 2018 provided by the National Health Insurance Service were used ( n = 843,134). Data on exposure to ambient air pollutants (PM2.5, CO, SO 2 , NO 2 , and O 3 ) and heavy metals (Pb, Cd, Cr, Cu, Mn, Fe, Ni, and As) during pregnancy were matched based on the mother's National Health Insurance registration area. SO 2 (OR: 2.723, 95% CI: 1.971-3.761) and Pb (OR: 1.063, 95% CI: 1.019-1.11) were more closely associated with the incidence of ASD when infants were exposed to them in the third trimester of pregnancy. Pb (OR: 1.109, 95% CI: 1.043-1.179) in the first trimester of pregnancy and Cd (OR: 2.193, 95% CI: 1.074-4.477) in the third trimester of pregnancy were associated with the incidence of epilepsy. Thus, exposure to SO 2 , NO 2 , and Pb during pregnancy could affect the development of a neurologic disorder based on the timing of exposure, suggesting a relationship with fetal development. However, further research is needed.
Keyphrases
- health insurance
- heavy metals
- pregnancy outcomes
- autism spectrum disorder
- air pollution
- risk assessment
- health risk assessment
- affordable care act
- preterm birth
- health risk
- electronic health record
- quality improvement
- particulate matter
- big data
- sewage sludge
- pregnant women
- intellectual disability
- attention deficit hyperactivity disorder
- gestational age
- risk factors
- human health
- metal organic framework
- healthcare
- mental health
- low birth weight
- chronic obstructive pulmonary disease
- artificial intelligence
- cystic fibrosis