Ontology highlight
ABSTRACT: Background
Accelerated industrialization globally has intensified air pollution, but the susceptibility periods for extreme air pollution in twin pregnancies remain undefined.Methods
This study investigated the association between extreme air pollution exposure and preterm birth risk in twin pregnancies. Data on 3623 twin pregnancies in Chongqing from 2017 to 2022 and air pollution readings from 12 monitoring stations were analyzed using distributed lag non-linear quasi-Poisson regression models. Additionally, four extreme air pollution indices were developed to assess the cumulative effects of lagged exposures on preterm birth risk through multivariate logistic regression.Results
Compared to the lower quartile, the 95th percentile of extreme air pollution exposure
SUBMITTER: Xu WZ
PROVIDER: S-EPMC12278472 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature