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The relationship between air pollutants and preterm birth and blood routine changes in typical river valley city.
Li, Jimin; Gu, Jiajia; Liu, Lang; Cao, Meiying; Wang, Zeqi; Tian, Xi; He, Jinwei.
Afiliación
  • Li J; Medical School of Yan'an University, Yan'an, Shaanxi, China.
  • Gu J; Medical School of Yan'an University, Yan'an, Shaanxi, China.
  • Liu L; Medical School of Yan'an University, Yan'an, Shaanxi, China.
  • Cao M; Medical School of Yan'an University, Yan'an, Shaanxi, China.
  • Wang Z; Medical School of Yan'an University, Yan'an, Shaanxi, China.
  • Tian X; Medical School of Yan'an University, Yan'an, Shaanxi, China.
  • He J; Medical School of Yan'an University, Yan'an, Shaanxi, China. hotred_714@163.com.
BMC Public Health ; 24(1): 1677, 2024 Jun 24.
Article en En | MEDLINE | ID: mdl-38915004
ABSTRACT

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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nacimiento Prematuro / Contaminantes Atmosféricos Límite: Adult / Female / Humans / Newborn / Pregnancy País/Región como asunto: Asia Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nacimiento Prematuro / Contaminantes Atmosféricos Límite: Adult / Female / Humans / Newborn / Pregnancy País/Región como asunto: Asia Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido