Abstract
An association between green space exposure and preterm birth has been reported. However, evidence on the joint effects of air pollutant and green space exposure on preterm birth from nationwide research is limited in China. Based on a nationwide cohort, this study aims to explore the effect of green space exposure on preterm birth and analyze the joint effects of green space and air pollutant. Logistic regression models were developed to analyze the effects of green space exposure, and interaction effects were evaluated by adding interaction terms between green space and air pollutants. From 2013 to 2019, this study included 2,294,188 records of newborn births, of which 82,921 were preterm births. The results show that for buffer zones with 250 m, 500 m, 1000 m, and 1500 m, every 0.1 unit increase in NDVI exposure was associated with a decrease in the risk of preterm birth by 5.5% (95% CI: 4.6–6.4%), 5.8% (95% CI: 4.9–6.6%), 6.1% (95% CI: 5.3–7.0%), and 5.6% (95% CI: 4.7–6.5%), respectively. Under high-level exposure to air pollutants, high-level NDVI exposure was more strongly negatively correlated with preterm birth than low-level NDVI exposure. High-level green space exposure might mitigate the adverse effect of air pollutants on preterm birth by promoting physical activity, reducing stress, and adsorbing pollutants. Further investigation is needed to explore how green space and air pollution interact and affect preterm birth, in order to improve risk management and provide a reference for newborn health.
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The work was supported by the National Natural Science Foundation of China (22076129).
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TM and ZQ drafted the manuscript. TM, ZQ, CL, and WL performed data cleaning and statistical analyses. YG, ZC, WX, ZL, QL, and MJ provided extensive comments on this manuscript. HL, DL, and YZ designed the research plan and revised the manuscript. All authors had read and approved the final manuscript.
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Mi, T., Qiu, Z., Li, C. et al. Joint effects of green space and air pollutant exposure on preterm birth: evidence from a nationwide study in China. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-33561-x
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DOI: https://doi.org/10.1007/s11356-024-33561-x