Maternal exposure to black carbon and nitrogen dioxide during pregnancy and birth weight: Using machine-learning methods to achieve balance in inverse-probability weights

• Published in: Environmental research Vol. 211; p. 112978
• Main Authors: Dong, Shuxin, Abu-Awad, Yara, Kosheleva, Anna, Fong, Kelvin C., Koutrakis, Petros, Schwartz, Joel D.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.08.2022
• Subjects: Birth weight; Black carbon; Causal method; Machine learning; Nitrogen dioxide; Propensity score; Causal method; Birth weight; Propensity score; Nitrogen dioxide; Black carbon; Machine learning
• ISSN: 0013-9351; 1096-0953
• DOI: 10.1016/j.envres.2022.112978

Low birth weight is associated with increased risks of health problems in infancy and later life. Among the epidemiological analyses suggesting an association between air pollution and birth weight, few have estimated the effects of black carbon (BC) or together with nitrogen dioxide (NO2), and even fewer studies have used causal modelling. We examined 1,119,011 birth records between 2001/01/01 and 2015/12/31 from the Massachusetts Birth Registry to investigate causal associations between prenatal exposure to BC and NO2 and birth weight. We calculated mean residential BC and NO2 exposures 0–30, and 31–280 days prior to birth from validated spatial-temporal models. We fit generalized propensity score models with gradient boosting tuned by a new algorithm to achieve covariate balance, then fit marginal structural models with stabilized inverse-probability weights. Throughout pregnancy, the average birth weight would drop by 17.0 g (95% CI: 15.4, 18.6) for an IQR increase of 0.14 μg/m3 in BC and would independently drop by 19.9 g (95% CI: 18.6, 21.3) for an IQR increase of 9.8 ppb in NO2. Most of the negative effects of BC on birth weight are from 0 to 30 days before the delivery date. The estimated odds ratio of low birth weight for every IQR increase during the entire pregnancy was 1.131 (95% CI: 1.106, 1.156) for BC and 1.082 (95% CI: 1.062, 1.103) for NO2. We found that prenatal exposures to both BC and NO2 were associated with lower birth weight. •Exposure to traffic-related air pollution during pregnancy resulted in a lower birth weight and higher risk of low birth weight.•Exposure to black carbon in the last month of pregnancy has a larger effect size than others.•Use machine learning method with the target of balance to fit the generalized propensity score.