Prenatal exposure to air pollution and the risk of preterm birth in rural population of Henan Province

被引：17

作者：

Zhou, Guoyu ^{[1
,2
]}

Wu, Jingjing ^{[1
]}

Yang, Meng ^{[1
]}

Sun, Panpan ^{[3
]}

Gong, Yongxiang ^{[1
]}

Chai, Jian ^{[3
]}

Zhang, Junxi ^{[3
]}

Afrim, Francis-Kojo ^{[1
]}

Dong, Wei ^{[3
]}

Sun, Renjie ^{[1
]}

Wang, Yuhong ^{[3
]}

Li, Qinyang ^{[1
]}

Zhou, Dezhuan ^{[3
]}

Yu, Fangfang ^{[1
]}

Yan, Xi ^{[4
,5
,6
]}

Zhang, Yawei ^{[7
]}

Jiang, Lifang ^{[3
]}

Ba, Yue ^{[1
,2
]}

机构：

[1] Zhengzhou Univ, Sch Publ Hlth, Dept Environm Hlth & Environm & Hlth Innovat Team, Zhengzhou 450001, Henan, Peoples R China

[2] Zhengzhou Univ, Yellow River Inst Ecol Protect & Reg Coordinated, Zhengzhou 450001, Henan, Peoples R China

[3] Henan Inst Reprod Hlth Sci & Technol, Natl Hlth Commiss Key Lab Birth Defects Prevent, Henan Key Lab Populat Defects Prevent, Zhengzhou 450002, Henan, Peoples R China

[4] Henan Prov Peoples Hosp, Dept Neurol, Zhengzhou 450001, Henan, Peoples R China

[5] Zhengzhou Univ, Peoples Hosp, Zhengzhou 450001, Henan, Peoples R China

[6] Henan Univ, Peoples Hosp, Zhengzhou 450001, Henan, Peoples R China

[7] Yale Univ, Dept Environm Hlth Sci, Sch Publ Hlth, New Haven, CT USA

来源：

CHEMOSPHERE | 2022年 / 286卷

基金：

中国国家自然科学基金;

关键词：

Air pollution; Preterm; Rural; Pregnancy; Vulnerable; FINE PARTICULATE MATTER; AMBIENT-TEMPERATURE; INFLAMMATION; OUTCOMES; EPIDEMIOLOGY; ASSOCIATION; GROWTH; CHINA;

D O I：

10.1016/j.chemosphere.2021.131833

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Due to the poor living and healthcare conditions, preterm birth (PTB) in rural population is a pressing health issue. However, PTB studies in rural population are rare. To explore the effects of air pollutants on PTB in rural population, we collected 697,316 medical records during 2014-2016 based on the National Free Preconception Health Examination Project. Logistic regression models were used to estimate the association between air pol -lutants and PTB and the modifying effects of demographic characteristics. Relative contribution and principal component analysis-generalized linear model (PCA-GLM) analysis were used to explore the most significant air pollutant and gestational period. Our results demonstrated that PTB risk is positively associated with exposure to air pollutants including PM10, PM2.5, SO2, NO2, and CO, while negatively associated with O-3 exposure (P < 0.05). In addition, we found that NO2 was the largest contributor to the risk of PTB caused by air pollutants (26.5%). The third trimester of pregnancy was the most sensitive exposure window. PCA-GLM analysis showed that the first component (a combination of PM, SO2, NO2, and CO) increased the risk of PTB. Moreover, we found that rural women who are younger, had higher educated, multi-parity, or smoke appeared to be more sensitive to the association between air pollutants exposure and PTB (P-interaction<0.05). Our findings suggested that increased air pollutants except O-3 were associated with elevated PTB risk, especially among vulnerable mothers. Therefore, the effects of air pollutants exposure on PTB should be mitigated by restricting emission sources of NO2 and SO2 in rural population, especially during the third trimester.

引用

页数：10