Back to Search
Start Over
Prenatal exposure to particulate matter and infant birth outcomes: Evidence from a population-wide database.
- Source :
-
Health economics [Health Econ] 2024 Sep; Vol. 33 (9), pp. 2182-2200. Date of Electronic Publication: 2024 Jun 19. - Publication Year :
- 2024
-
Abstract
- There are growing concerns about the impact of pollution on maternal and infant health. Despite an extensive correlational literature, observational studies which adopt methods that seek to address potential biases due to unmeasured confounders draw mixed conclusions. Using a population database of births in Northern Ireland (NI) linked to localized geographic information on pollution in mothers' postcodes (zipcodes) of residence during pregnancy, we examine whether prenatal exposure to PM <subscript>2.5</subscript> is associated with a comprehensive range of birth outcomes, including placental health. Overall, we find little evidence that particulate matter is related to infant outcomes at the pollution levels experienced in NI, once we implement a mother fixed effects approach that accounts for time-invariant factors. This contrasts with strong associations in models that adjust for observed confounders but without fixed effects. While reducing ambient air pollution remains an urgent public health priority globally, our results imply that further improvements in short-run levels of prenatal PM <subscript>2.5</subscript> exposure in a relatively low-pollution, higher-income country context, are unlikely to impact on birth outcomes at the population level.<br /> (© 2024 The Author(s). Health Economics published by John Wiley & Sons Ltd.)
- Subjects :
- Humans
Female
Pregnancy
Adult
Infant, Newborn
Northern Ireland epidemiology
Prenatal Exposure Delayed Effects
Databases, Factual
Air Pollutants adverse effects
Air Pollutants analysis
Particulate Matter adverse effects
Particulate Matter analysis
Pregnancy Outcome epidemiology
Air Pollution adverse effects
Maternal Exposure adverse effects
Subjects
Details
- Language :
- English
- ISSN :
- 1099-1050
- Volume :
- 33
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Health economics
- Publication Type :
- Academic Journal
- Accession number :
- 38898637
- Full Text :
- https://doi.org/10.1002/hec.4862