Prenatal exposure to PM2.5 components and the risk of different types of preterm birth and the mediating effect of pregnancy complications: a cohort study

Shi, T.S.; Ma, H.P.; Li, D.H.; Pan, L.; Wang, T.R.; Li, R.; Ren, X.W.

doi:10.1016/j.puhe.2023.12.008

Cited by 4 publications

(1 citation statement)

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“…Pregnancy is a long and multifactorial process, so there are many factors that can lead to preterm birth in pregnant women. Common factors that lead to preterm birth are the pregnant woman's own factors, genetic factors, and infections during pregnancy, environmental factors, psycho-behavioral factors and ethnic factors.Although the majority of studies on air pollutants and preterm birth have shown a correlation, there are inconsistencies in the major exposure windows, such as a strong correlation between exposure to PM 2.5 and preterm birth throughout the entire pregnancy [ 22 ], and some studies suggesting that PM 2.5 has its strongest effect in late pregnancy [ 23 ] or a correlation with exposure in the week prior to delivery [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

The relationship between air pollutants and preterm birth and blood routine changes in typical river valley city

Li,

Gu,

Liu

et al. 2024

BMC Public Health

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Objective To collect maternal maternity information on preterm births in two tertiary hospitals in the urban area of Baota District, Yan'an City, from January 2018 to December 2020, to explore the long-term and short-term effects of air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) and preterm births, and to explore changes in blood cell counts due to air pollutants. Methods Daily average mass concentration data of six air pollutants in the urban area of Yan'an City from January 1, 2017 to December 31, 2020 were collected from the monitoring station in Baota District, Yan'an City. Meteorological information was obtained from the Meteorological Bureau of Yan'an City, including temperature,relative humidity and wind speed for the time period. The mass concentration of air pollutants in each exposure window of pregnant women was assessed by the nearest monitoring station method, and conditional logistic regression was used to analyze the relationship between air pollutants and preterm births, as well as the lagged and cumulative effects of air pollutants. Multiple linear regression was used to explore the relationship between air pollutants and blood tests after stepwise linear regression was used to determine confounders for each blood test. Results The long-term effects of pollutants showed that PM2.5, PM10, SO2, NO2and CO were risk factors for preterm birth. In the two-pollutant model, PM2.5, PM10, SO2 and NO2 mixed with other pollutants were associated with preterm birth. The lagged effect showed that PM2.5, PM10, SO2, NO, and CO were associated with preterm birth; the cumulative effect showed that other air pollutants except O3 were associated with preterm birth. The correlation study between air pollutants and blood indicators showed that air pollutants were correlated with leukocytes, monocytes, basophils, erythrocytes, hs-CRPand not with CRP. Conclusion Exposure to air pollutants is a risk factor for preterm birth. Exposure to air pollutants was associated with changes in leukocytes, monocytes, basophils and erythrocytes and hs-CRP.

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Section: Introductionmentioning

confidence: 99%