Prenatal Exposure to Particulate Air Pollution and Gestational Age at Delivery in Massachusetts Neonates 2001-2015: A Perspective of Causal Modeling and Health Disparities
Overview
Authors
Affiliations
Methods: Inverse probability weighting (IPW) quantile regression was applied to derive causal marginal population-level GA reduction for GA percentiles associated with increased ambient particulate matter with diameter <2.5 μm (PM) levels at maternal residential address for each trimester and the month preceding delivery using Massachusetts birth registry 2001 to 2015. Stratified analyses were conducted for neonatal sex, maternal age/race/education, and extreme ambient temperature conditions.
Results: For neonates at 2.5th, 10th, 25th, 50th, 75th, and 97.5th percentiles of GA at delivery, we estimated an adjusted GA reduction of 4.2 days (95% confidence interval [CI] = 3.4, 5.0), 1.9 days (1.6, 2.1), 1.2 days (1.0, 1.4), 0.82 days (0.72, 0.92), 0.74 days (0.54, 0.94), and 0.54 days (0.15, 0.93) for each 5 μg/m3 increment in third trimester average PM levels. Final gestational month average exposure yielded a similar effect with greater magnitude. Male neonates and neonates of younger (younger than 35 years) and African American mothers as well as with high/low extreme temperature exposure in third trimester were more affected. Estimates were consistently higher at lower GA percentiles, indicating preterm/early-term births being more affected. Low-exposure analyses yielded similar results, restricting to areas with PM levels under US ambient annual standard of 12 μg/m.
Conclusions: Prenatal exposure to PM in late pregnancy reduced GA at delivery among Massachusetts neonates, especially among preterm/early-term births, male neonates, and neonates of younger and African American mothers. Exposure to extremely high/low temperature amplifies the effect of PM on GA.
Satellite data for environmental justice: a scoping review of the literature in the United States.
Sayyed T, Ovienmhada U, Kashani M, Vohra K, Kerr G, ODonnell C Environ Res Lett. 2024; 19(3).
PMID: 39377051 PMC: 11457489. DOI: 10.1088/1748-9326/ad1fa4.
Leung M, Weisskopf M, Modest A, Hacker M, Iyer H, Hart J Environ Health Perspect. 2024; 132(7):77002.
PMID: 38995210 PMC: 11243950. DOI: 10.1289/EHP13891.
Veenema R, Hoepner L, Geer L Int J Environ Res Public Health. 2023; 20(3).
PMID: 36767030 PMC: 9914610. DOI: 10.3390/ijerph20031662.
Semiparametric distributed lag quantile regression for modeling time-dependent exposure mixtures.
Wang Y, Ghassabian A, Gu B, Afanasyeva Y, Li Y, Trasande L Biometrics. 2022; 79(3):2619-2632.
PMID: 35612351 PMC: 10718172. DOI: 10.1111/biom.13702.
Exposure to during Pregnancy and Fetal Growth in Eastern Massachusetts, USA.
Leung M, Weisskopf M, Laden F, Coull B, Modest A, Hacker M Environ Health Perspect. 2022; 130(1):17004.
PMID: 34989624 PMC: 8734565. DOI: 10.1289/EHP9824.