Association between air pollutants and neural tube defects during pregnancy in Lanzhou, China: a time series analysis

• Published in: Environmental science and pollution research international Vol. 30; no. 2; pp. 4826 - 4836
• Main Authors: Yang, Yan, Zhou, Li, Zhang, Wenling, Yang, Yanjun, Liu, Yanyan, Pan, Li, Huo, Yanbei, Wang, Ruijuan, Ba, Yupei, Ren, Xiaoyu, Bai, Yana, Cheng, Ning
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 2023; Springer Nature B.V
• Subjects: Air monitoring; Air Pollutants - analysis; Air pollution; Air Pollution - analysis; Air pollution effects; Air quality; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Birth defects; China - epidemiology; Congenital defects; Distribution functions; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental science; Epidemiology; Exposure; Female; Humans; Infant; Meteorological data; Neural tube defects; Neural Tube Defects - epidemiology; Nitrogen dioxide; Nitrogen Dioxide - analysis; Outdoor air quality; Particulate emissions; Particulate matter; Particulate Matter - analysis; Poisson distribution; Pollutants; Pregnancy; Research Article; Risk; Sulfur; Sulfur dioxide; Time Factors; Waste Water Technology; Water Management; Water Pollution Control; China; Exposure–lag relationship; Distributed lag nonlinear model; Exposure–effect relationship; Air pollutants; Neural tube defects
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-022-21962-9

Few studies have evaluated the association between air pollutants and neural tube defects (NTDs). Moreover, the existing research ignores the lag effect of air pollution on health and provides inconsistent epidemiological evidence. We aim to estimate the association between air pollution and NTDs during the first trimester of pregnancy and identify specific susceptible windows. Birth data was collected from the Birth Defects Surveillance Network in Lanzhou from September 1, 2014, to December 31, 2019. Air quality and meteorological data were collected from ambient air monitoring stations and China Meteorological Data Network. The log connection function of the Poisson distribution function is used to establish a DLNM model to estimate the exposure–effect relationship and exposure–lag relationship association between air pollutants levels and NTDs. There were 320,787 perinatal infants in Lanzhou from September 1, 2014, to December 31, 2019, and 486 cases of NTDs (1.5‰). The result indicates that exposure to inhalable particles (PM 10 ) at lag 2–4 weeks was significantly associated with the risk of NTDs, with the most significant impact at the lag 2 week (RR=1.048, 95%CI, 1.015–1.084). Exposure to fine particulate matter (PM 2.5 ) at the lag 2 week was significantly associated with the risk of NTDs, with the most significant impact at the lag 2 week (RR=1.077, 95%CI, 1.004–1.155). Exposure to sulfur dioxide (SO 2 ) and nitrogen dioxide (NO 2 ) at lag 3–6weeks was significantly associated with the risk of NTDs, with the most significant impact at the lag 4 week (RR=1.220, 95%CI, 1.105–1.348; RR=1.143, 95%CI, 1.048–1.245). This study provides further evidence that exposure to air pollutants in the first trimester of pregnancy significantly increases the risk of neural tube defects. Graphical abstract