Abstract

BACKGROUND AND AIM: The evidence suggested many adverse health effects due to exposure to traffic-related air pollution (TRAP). However, the evidence on neonatal anthropometric measurements (NAPM) in low and middle-income countries is very scarce yet. Therefore, we investigate the association of prenatal exposure to indicators of traffic and ambient particulate matter (PM) with NAPM. METHODS: This cross-sectional study was based on hospital medical records of 4053 mother-neonate pairs (2016-2018). PMs were estimated at residential addresses based on validated spatiotemporal models. Moreover, total street length in 100, 300 and 500m buffers around the home, residential distance to the ring road, major roads, heavy-traffic lights, gas station, motorway junction, bank, square, bus terminal, public parking and industrial land-use were calculated as indicators of traffic. The head circumference (HC), birth weight (BW) and birth length (BL) of neonates were collected as NAPM. Multivariate regression models were applied to evaluate the relationship between PMs and indicators of traffic with NAPM, controlled for relevant covariates. RESULTS: The adjusted models revealed that higher exposure to PM2.5 and PM10 was significantly related with lower BW and BL. Similarity results were observed for total street length in a 100 m buffer around maternal home with BW and BL. Moreover, higher distance to heavy traffic lights was significantly associated with higher BW and BL. An IQR increase in PM10 was significantly related to lower HC (95% CI: -0.11, -0.01, P-value = 0.03). An increase in distance from residential address to heavy traffic lights, ring roads, bus terminal, and transportation land-use was associated with higher HC. CONCLUSIONS: This is the first study on the association of prenatal exposure to ambient PMs and different indicators of traffic with NAPM. Overall, our findings suggested that higher prenatal exposure to TRAP was related with lower BW, BL and HC. Keywords: Infant, Maternal, Neonates

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