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Associations of prenatal exposure to fine particulate matter and its constituents with small for gestational age risk: A twin study in China. | LitMetric

Associations of prenatal exposure to fine particulate matter and its constituents with small for gestational age risk: A twin study in China.

Ecotoxicol Environ Saf

Department of Obstetrics and Gynecology; Department of Neonatology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510632, China; Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guan

Published: March 2025


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Article Abstract

This study aimed to examine the impact of PM and its constituents on small for gestational age (SGA). We collected records of 8082 twin pairs and their mothers from 21 hospitals across China. Concentrations of PM and its constituents were from the Tracking Air Pollution dataset. Generalized linear models were utilized in this observational study to explore the relationship between SGA and PM. An increase in PM by one interquartile range during pregnancy was linked to a 17 % increased SGA risk (OR = 1.17, 95 % CI: 1.05-1.31), with a population attributable fraction of 18.97 % (95 %CI: 5.65 %, 30.93 %). Additionally, higher risk of SGA was associated with exposure to ammonium (OR=1.17, 95 %CI: 1.03-1.34), sulfate (OR=1.10, 95 %CI: 1.01-1.21), nitrate (OR=1.16, 95 %CI: 1.02-1.33), black carbon (OR=1.09, 95 %CI: 1.00-1.19), and organic matter (OR=1.11, 95 %CI: 1.00-1.23) during pregnancy. Similar associations were observed for SGA with PM and its constituents in late pregnancy (all P < 0.05). Furthermore, individuals conceived via assisted reproduction (OR = 1.22, 95 % CI: 1.03-1.43), with pregnancy complications (OR = 1.23, 95 % CI: 1.07-1.41), and residing in colder areas (OR = 1.20, 95 % CI: 1.02-1.40) shown more susceptible to PM. Our findings provide evidence that maternal PM exposure increased SGA risk, especially during the late pregnancy.

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http://dx.doi.org/10.1016/j.ecoenv.2025.118001DOI Listing

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