Exploring the association between atmospheric pollutants and preterm birth risk in a river valley city

• DOI: 10.3389/fpubh.2024.1415028
• Publication Date: 2024-07-25T04:45:39Z
• Authors: Jiajia Gu; Jimin Li; Lang Liu; Meiying Cao; Xi Tian; Zeqi Wang; Jinwei He
• Keywords: Association (psychology)

To investigate the association between exposure to atmospheric pollutants and preterm birth in a river valley-type city its critical windows. A retrospective cohort study was used collect data from medical records of full-term deliveries two hospitals urban areas typical January 2018 December 2019. total 7,288 cases were included with general information such as pregnancy times, number cesarean sections, occupation, season conception regularity menstrual cycle. And confounding factors affecting inferred using chi-square test. The effects each pollutant, including particulate matter 2.5 (PM2.5), 10 (PM10), nitrogen dioxide (NO2), sulfur (SO2), carbon monoxide (CO) ozone (O3), during on main windows explored by establishing logistic regression model introduced continuous variables. Maternal age, births, conception, complications diseases, comorbidities hypertension disorder neonatal low weight newborn significantly different term pregnant women. Logistic analysis after adjusting for above confounders showed that risk increases 0.9, 0.6, 2.4% T2 1.0, 2.5% T3 μg/m3 increase PM2.5, PM10, NO2 concentrations, respectively. 4.3% SO2 concentrations. 123.5% 188.5% mg/m3 CO NO2, associated increased mid-pregnancy (T2) late (T3), (T2).