Paper
7 September 2023 Maternal exposure to PM10’s effect on infant birth weight and the term low birth weight in the counties of the US, 2007-2020
Jiazhuo Cheng, Binghan Yan, Tianqi Lu, Yumeng Zhang
Author Affiliations +
Proceedings Volume 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023); 127891Y (2023) https://doi.org/10.1117/12.2692422
Event: International Conference on Modern Medicine and Global Health (ICMMGH 2023), 2023, Oxford, United Kingdom
Abstract
Background: Not many studies have investigated the relationship between maternal exposure to ambient particulate matter, especially matter with an aerodynamic diameter of less than 10 μm (PM10) during pregnancy, and the rate of low birth weight. Limited studies have been conducted in broad national areas for over many years. Method: Data on birth weight and air pollution from 2007 to 2020 in the US counties is collected, including 628 counties. Logarithmic transformed LAD regression was used to examine the association between air pollutants, especially PM10, and birth weight. Results: PM10 demonstrated a negative impact on the term LBW and most birth weight categories. A trend was observed: as birth weight categories increase, the magnitude of the PM10 estimate decreases as birth weight approaches the normal range, from 0.0064 to 0.0008. After examining the associations between birth weight categories and the term LBW, a negative association between PM10 level and birth weight is found for LBW categories. Conclusion: The impact of PM10 on regular-weighted babies is less significant than on low-weighted babies, and an increased risk of low birth weight with increasing PM10 levels was not found.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiazhuo Cheng, Binghan Yan, Tianqi Lu, and Yumeng Zhang "Maternal exposure to PM10’s effect on infant birth weight and the term low birth weight in the counties of the US, 2007-2020", Proc. SPIE 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023), 127891Y (7 September 2023); https://doi.org/10.1117/12.2692422
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KEYWORDS
Air contamination

Nitrogen dioxide

Data modeling

Cardiovascular disorders

Air quality

Diseases and disorders

Liver

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