Prenatal Exposure to PM2.5 Components and Preterm Birth: A Case-Crossover Study in Shijiazhuang, China.

Abstract

The aim of the study was to study maternal exposure to PM2.5 components and preterm birth. Counts of hospitalizations due to preterm birth at the Fourth Hospital of Shijiazhuang City were collected from 2014 to 2019. The daily number of hospitalizations and short-term exposure to five types of PM2.5 components were examined using a time-stratified case-crossover method. The overall mixture of PM2.5 components and its relationship with preterm birth were analyzed via Bayesian kernel regression. In the single-pollutant analyses, maternal exposed to components of PM2.5 had an increased risks per interquartile increase in concentration during lag 0-2 days. The mixed component analysis revealed exposure to a mixture of PM2.5 components increased the risk of preterm birth. BCs are the main factors affecting the overall effects. PM2.5 components may have a potential influence of preterm birth.