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Dataset Information

The impact of extreme air pollution on preterm birth in twin pregnancies: identifying susceptible exposure windows.


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