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The relationship between air pollution and the occurrence of hypertensive disorders of pregnancy: Evidence from a study in Wuhan, China.
Zhang, Yuying; Liu, Jianfeng; Hu, Min; Chai, Dongyue; Zhang, Feng; Yin, Tailang; Ye, Peng; Fang, Zhixiang; Zhang, Yan.
Afiliación
  • Zhang Y; Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
  • Liu J; The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China.
  • Hu M; Department of Obstetrics, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
  • Chai D; The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China.
  • Zhang F; Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
  • Yin T; Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China. Electronic address: reproductive@whu.edu.cn.
  • Ye P; Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan 430060, China. Electronic address: yp800111@163.com.
  • Fang Z; The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China. Electronic address: zxfang@whu.edu.cn.
  • Zhang Y; Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China. Electronic address: peneyyan@whu.edu.cn.
Ecotoxicol Environ Saf ; 284: 116933, 2024 Sep 02.
Article en En | MEDLINE | ID: mdl-39226864
ABSTRACT
Ambient air pollution has been reported to be a risk factor for hypertensive disorders of pregnancy (HDP). Past studies have reported supportive evidence, but evidence from China is scarce and does not integrate the different periods of the pregnancy course. In this study, 1945 pregnant women with HDP and healthy pregnancies between 2016 and 2022 from the Renmin Hospital of Wuhan University registry network database were analysed. The geographic information, biological information and demographic information of the case were fused in the analysis. Machine learning methods were used to obtain the weight of the variable. Then, we used the generalized linear mixed model to evaluate the relationship between increased exposure to each pollutant at different periods of HDP and examined it in different groups. The results showed that SO2 had the predominate impact (12.65 %) on HDP compared with other air pollutants. SO2 exposure was associated with an increased risk of HDP. Increased unit SO2 concentrations were accompanied by an increased risk of HDP (OR = 1.33, 95 % CI 1.13, 1.566), and the susceptible window for this effect was mainly in the first trimester (OR = 1.242, 95 % CI 1.092, 1.412). In addition, SO2 exposure was associated with an increased risk of HDP in urban maternity (OR = 1.356, 95 % CI 1.112, 1.653), obese maternity (OR = 3.58, 95 % CI 1.608, 7.971), no higher education maternity (OR = 1.348, 95 % CI 1.065, 1.706), nonzero delivery maternity (OR = 1.981, 95 % CI 1.439, 2.725), maternal with first time maternity (OR = 1.247, 95 % CI 1.007, 1.544) and other groups. In summary, SO2 exposure in early pregnancy is one of the risk factors for HDP, and the increased risk of HDP due to increased SO2 exposure may be more pronounced in obese, urban, low-education, and nonzero delivery populations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ecotoxicol Environ Saf Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ecotoxicol Environ Saf Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos