Combined exposure to PM2.5 and PM10 in reductions of physiological development among preterm birth: a retrospective study from 2014 to 2017 in China

Frontiers in Public Health

Public Health

Dongliang Shao¹  Huafei Huang¹  Limin Jin²  Liangjin Zhu³  Bin Shen³  Guangtao Xu³  Jintong Li³  Huan Chen³  Long Xu³  Jie Chen³  Shipiao Chen³  Bo Hu⁴  Jie Tang⁴ 

[1] Department of Neonatal Intensive Care Unit, Jiaxing Maternity and Child Health Care Hospital, Jiaxing University, Jiaxing, Zhejiang, China;Department of Pathology and Key-Innovative Discipline Molecular Diagnostics, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing University, Jiaxing, Zhejiang, China;Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China;Department of Preventive Medicine, Forensic and Pathology Laboratory, Institute of Forensic Science, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, China;Department of Pathology and Key-Innovative Discipline Molecular Diagnostics, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing University, Jiaxing, Zhejiang, China;

关键词: PM;    PM;    birth outcomes;    low birth weight;    preterm birth;   

DOI  :  10.3389/fpubh.2023.1146283

 received in 2023-01-17, accepted in 2023-07-12,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundPreterm birth (PTB) has been linked with ambient particulate matter (PM) exposure. However, data are limited between physiological development of PTB and PM exposure.MethodsTrimester and season-specific PM exposure including PM2.5 and PM10 was collected from Jiaxing between January 2014 and December 2017. Information about parents and 3,054 PTB (gestational age < 37 weeks) outcomes such as weight (g), head circumference (cm), chest circumference (cm), height (cm) and Apgar 5 score were obtained from birth records. We used generalized linear models to assess the relationship between PTB physiological developmental indices and PM2.5, PM10 and their combined exposures. A binary logistic regression model was performed to assess the association between exposures and low birth weight (LBW, < 2,500 g).ResultsResults showed that there were 75.5% of low birth weight (LBW) infants in PTB. Decreased PM2.5 and PM10 levels were found in Jiaxing from 2014 to 2017, with a higher PM10 level than PM2.5 each year. During the entire pregnancy, the highest median concentration of PM2.5 and PM10 was in winter (61.65 ± 0.24 vs. 91.65 ± 0.29 μg/m3) followed by autumn, spring and summer, with statistical differences in trimester-specific stages. After adjusting for several potential factors, we found a 10 μg/m3 increase in joint exposure of PM2.5 and PM10 during the entire pregnancy associated with reduced 0.02 week (95%CI: −0.05, −0.01) in gestational age, 7.9 g (95%CI: −13.71, −2.28) in birth weight, 0.8 cm in height (95%CI: −0.16, −0.02), 0.05 cm (95%CI: −0.08, − 0.01) in head circumference, and 0.3 (95%CI: −0.04, −0.02) in Apgar 5 score, except for the chest circumference. Trimester-specific exposure of PM2.5 and PM10 sometimes showed an opposite effect on Additionally, PM2.5 (OR = 1.37, 95%CI: 1.11, 1.68) was correlated with LBW.ConclusionFindings in this study suggest a combined impact of fine particulate matter exposure on neonatal development, which adds to the current understanding of PTB risk and health.

【 授权许可】

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Copyright © 2023 Hu, Tang, Xu, Shao, Huang, Li, Chen, Chen, Zhu, Chen, Shen, Jin and Xu.