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Prenatal Exposure to PM2.5 Components and Preterm Birth: A Case-Crossover Study in Shijiazhuang, China
Yujia Zhang1, Yuanyuan Yang, Zechang Zhang
1From the School of Public Health, Hebei Medical University, Shijiazhuang, China (Y.Z., Y.Y., Z.Z., J.W., H.C., L.Y., W.L.); Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, China (L.Y., W.L.); and Undergraduate of College of Basic Medicine, Hebei Medical University, Shijiazhuang, China (Z.S.).
Objective:
The aim of the study was to study maternal exposure to PM2.5 components and preterm birth.
Methods:
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.
Results:
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.
Conclusions:
PM2.5 components may have a potential influence of preterm birth.
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