School of Public Health, Southeast University, Nanjing, China; State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Nanjing Medical University, Nanjing, China.
State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Nanjing Medical University, Nanjing, China.
Environ Res. 2022 Dec;215(Pt 1):114164. doi: 10.1016/j.envres.2022.114164. Epub 2022 Aug 24.
Increasing evidence has shown that exposure to air pollution is linked to adverse birth outcomes, but the results are not consistent. This study was performed on a subset of participants from the UK Biobank between 2006 and 2010. The land use regression (LUR) model was constructed to calculate the concentrations of particulate matter (PM, PM and PM), nitrogen oxides (NO), and nitrogen dioxide (NO). Binary logistic/multivariate linear regression models were applied to explore the potential linear relationships between air pollution exposure and newborn low birth weight (LBW) or BW. The Cochran-Armitage trend test was used to explore the possible association between the air pollution level and LBW. A restricted cubic spline (RCS) transformation of exposure variables was applied to visualize the relation of air pollutants to BW. Exposure to air pollutants, especially PM and PM, was positively associated with LBW, and the odds ratios (ORs) and 95% confidence intervals (CIs) for each 10-μg/m increase in PM and PM were 1.25 ([1.03, 1.51], P = 0.025) and 1.12 ([1.02, 1.24], P = 0.021), respectively. A negative correlation was observed between the BW and PM (-0.05 [-0.08, -0.02], P = 0.001), PM (-0.03 [-0.05, -0.02], P < 0.001), PM (-0.04 [-0.07, -0.01], P < 0.001) and NO (0.00 [0.00, 0.00], P = 0.021). Additionally, the BW changed dramatically up to a specific point (PM for 10.74 μg/m, P = 0.004; PM for 16.06 μg/m, P = 0.004; NO for 25.58 μg/m, P <0.001; and NO for 39.88 μg/m, P <0.001), subsequently becoming relatively stable. PM and PM exposure were positively associated with LBW, and a negative correlation was observed between PM, PM, PM and NO and BW.
越来越多的证据表明，暴露于空气污染与不良出生结局有关，但结果并不一致。本研究对 2006 年至 2010 年期间英国生物库的一部分参与者进行了研究。构建了土地利用回归（LUR）模型来计算颗粒物（PM、PM 和 PM）、氮氧化物（NO）和二氧化氮（NO）的浓度。应用二元逻辑/多变量线性回归模型来探讨空气污染暴露与新生儿低出生体重（LBW）或出生体重（BW）之间潜在的线性关系。采用 Cochran-Armitage 趋势检验来探讨空气污染水平与 LBW 之间的可能关联。应用限制立方样条（RCS）变换暴露变量来可视化空气污染物与 BW 的关系。暴露于空气污染物，尤其是 PM 和 PM，与 LBW 呈正相关，PM 和 PM 每增加 10μg/m，比值比（OR）和 95%置信区间（CI）分别为 1.25（1.03，1.51）和 1.12（1.02，1.24）（P=0.025）。观察到 BW 与 PM（-0.05 [-0.08，-0.02]，P=0.001）、PM（-0.03 [-0.05，-0.02]，P <0.001）、PM（-0.04 [-0.07，-0.01]，P <0.001）和 NO（0.00 [0.00，0.00]，P=0.021）呈负相关。此外，BW 在达到特定点时会发生显著变化（PM 为 10.74μg/m，P=0.004；PM 为 16.06μg/m，P=0.004；NO 为 25.58μg/m，P<0.001；NO 为 39.88μg/m，P<0.001），随后变得相对稳定。PM 和 PM 暴露与 LBW 呈正相关，PM、PM、PM 和 NO 与 BW 呈负相关。
