Effect of airborne particulate matter of 2.5 μm or less on preterm birth

A national birth cohort study in China

Qin Li, Yuan yuan Wang, Yuming Guo, Hong Zhou, Xiaobin Wang, Qiaomei Wang, Haiping Shen, Yiping Zhang, Donghai Yan, Ya Zhang, Hongguang Zhang, Shanshan Li, Gongbo Chen, Lizi Lin, Jun Zhao, Yuan He, Ying Yang, Jihong Xu, Yan Wang, Zuoqi Peng & 2 others Hai Jun Wang, Xu Ma

Research output: Contribution to journalArticle

Abstract

Background: Most evidences regarding ambient PM2.5 or PM10 (particulate matter of median aerodynamic diameter ≤2.5 μm or ≤10 μm) and preterm birth (PTB) come from western countries which has relatively low PM pollution exposure, and the results are still inconsistent. This study aims to examine whether exposure to high concentrations of PM2.5 or PM10 was associated with PTB (<37 weeks) and near term birth (37–38 weeks). Method: We established a birth cohort with 1,280,524 singleton pregnancies who delivered from Dec 1st, 2013 to Nov 30th, 2014 and matched their home address to PM2.5 and PM10 concentrations which were predicted with machine learning methods based satellite remote sensing, meteorological and land use information. Cox proportional hazard regression models were used to analyze the associations between PTB and exposure of PM2.5 or PM10, after controlling for individual level covariates. Results: Exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth [e.g., Hazard ratios: 1.09 (95% CI: 1.09, 1.10), 1.08 (95% CI: 1.07, 1.08), 1.01 (95% CI: 1.01, 1.02), and 1.09 (95% CI: 1.08, 1.10) for each 10 μg/m3 increase in PM2.5 for the 1st, 2nd, 3rd trimester and over the entire pregnancy, respectively]. The effects appeared to be stronger among women who come from rural areas, worked as farmers, were overweight before conception, whose mate was smoking during pregnancy, and conceived in autumn. Conclusion: This study provides clear evidence that exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth. Public policies regarding improvement of air quality would produce great health benefit by reducing the burden of preterm birth.

Original languageEnglish (US)
JournalEnvironment International
DOIs
StateAccepted/In press - Jan 1 2018

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pregnancy
particulate matter
hazard
pollution exposure
smoking
aerodynamics
rural area
air quality
autumn
effect
remote sensing
land use
exposure
method

Keywords

  • Birth cohort
  • Preterm birth
  • Satellite-based PM and PM predictions

ASJC Scopus subject areas

  • Environmental Science(all)

Cite this

Effect of airborne particulate matter of 2.5 μm or less on preterm birth : A national birth cohort study in China. / Li, Qin; Wang, Yuan yuan; Guo, Yuming; Zhou, Hong; Wang, Xiaobin; Wang, Qiaomei; Shen, Haiping; Zhang, Yiping; Yan, Donghai; Zhang, Ya; Zhang, Hongguang; Li, Shanshan; Chen, Gongbo; Lin, Lizi; Zhao, Jun; He, Yuan; Yang, Ying; Xu, Jihong; Wang, Yan; Peng, Zuoqi; Wang, Hai Jun; Ma, Xu.

In: Environment International, 01.01.2018.

Research output: Contribution to journalArticle

Li, Q, Wang, YY, Guo, Y, Zhou, H, Wang, X, Wang, Q, Shen, H, Zhang, Y, Yan, D, Zhang, Y, Zhang, H, Li, S, Chen, G, Lin, L, Zhao, J, He, Y, Yang, Y, Xu, J, Wang, Y, Peng, Z, Wang, HJ & Ma, X 2018, 'Effect of airborne particulate matter of 2.5 μm or less on preterm birth: A national birth cohort study in China', Environment International. https://doi.org/10.1016/j.envint.2018.10.025
Li, Qin ; Wang, Yuan yuan ; Guo, Yuming ; Zhou, Hong ; Wang, Xiaobin ; Wang, Qiaomei ; Shen, Haiping ; Zhang, Yiping ; Yan, Donghai ; Zhang, Ya ; Zhang, Hongguang ; Li, Shanshan ; Chen, Gongbo ; Lin, Lizi ; Zhao, Jun ; He, Yuan ; Yang, Ying ; Xu, Jihong ; Wang, Yan ; Peng, Zuoqi ; Wang, Hai Jun ; Ma, Xu. / Effect of airborne particulate matter of 2.5 μm or less on preterm birth : A national birth cohort study in China. In: Environment International. 2018.
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abstract = "Background: Most evidences regarding ambient PM2.5 or PM10 (particulate matter of median aerodynamic diameter ≤2.5 μm or ≤10 μm) and preterm birth (PTB) come from western countries which has relatively low PM pollution exposure, and the results are still inconsistent. This study aims to examine whether exposure to high concentrations of PM2.5 or PM10 was associated with PTB (<37 weeks) and near term birth (37–38 weeks). Method: We established a birth cohort with 1,280,524 singleton pregnancies who delivered from Dec 1st, 2013 to Nov 30th, 2014 and matched their home address to PM2.5 and PM10 concentrations which were predicted with machine learning methods based satellite remote sensing, meteorological and land use information. Cox proportional hazard regression models were used to analyze the associations between PTB and exposure of PM2.5 or PM10, after controlling for individual level covariates. Results: Exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth [e.g., Hazard ratios: 1.09 (95{\%} CI: 1.09, 1.10), 1.08 (95{\%} CI: 1.07, 1.08), 1.01 (95{\%} CI: 1.01, 1.02), and 1.09 (95{\%} CI: 1.08, 1.10) for each 10 μg/m3 increase in PM2.5 for the 1st, 2nd, 3rd trimester and over the entire pregnancy, respectively]. The effects appeared to be stronger among women who come from rural areas, worked as farmers, were overweight before conception, whose mate was smoking during pregnancy, and conceived in autumn. Conclusion: This study provides clear evidence that exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth. Public policies regarding improvement of air quality would produce great health benefit by reducing the burden of preterm birth.",
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author = "Qin Li and Wang, {Yuan yuan} and Yuming Guo and Hong Zhou and Xiaobin Wang and Qiaomei Wang and Haiping Shen and Yiping Zhang and Donghai Yan and Ya Zhang and Hongguang Zhang and Shanshan Li and Gongbo Chen and Lizi Lin and Jun Zhao and Yuan He and Ying Yang and Jihong Xu and Yan Wang and Zuoqi Peng and Wang, {Hai Jun} and Xu Ma",
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T1 - Effect of airborne particulate matter of 2.5 μm or less on preterm birth

T2 - A national birth cohort study in China

AU - Li, Qin

AU - Wang, Yuan yuan

AU - Guo, Yuming

AU - Zhou, Hong

AU - Wang, Xiaobin

AU - Wang, Qiaomei

AU - Shen, Haiping

AU - Zhang, Yiping

AU - Yan, Donghai

AU - Zhang, Ya

AU - Zhang, Hongguang

AU - Li, Shanshan

AU - Chen, Gongbo

AU - Lin, Lizi

AU - Zhao, Jun

AU - He, Yuan

AU - Yang, Ying

AU - Xu, Jihong

AU - Wang, Yan

AU - Peng, Zuoqi

AU - Wang, Hai Jun

AU - Ma, Xu

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Background: Most evidences regarding ambient PM2.5 or PM10 (particulate matter of median aerodynamic diameter ≤2.5 μm or ≤10 μm) and preterm birth (PTB) come from western countries which has relatively low PM pollution exposure, and the results are still inconsistent. This study aims to examine whether exposure to high concentrations of PM2.5 or PM10 was associated with PTB (<37 weeks) and near term birth (37–38 weeks). Method: We established a birth cohort with 1,280,524 singleton pregnancies who delivered from Dec 1st, 2013 to Nov 30th, 2014 and matched their home address to PM2.5 and PM10 concentrations which were predicted with machine learning methods based satellite remote sensing, meteorological and land use information. Cox proportional hazard regression models were used to analyze the associations between PTB and exposure of PM2.5 or PM10, after controlling for individual level covariates. Results: Exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth [e.g., Hazard ratios: 1.09 (95% CI: 1.09, 1.10), 1.08 (95% CI: 1.07, 1.08), 1.01 (95% CI: 1.01, 1.02), and 1.09 (95% CI: 1.08, 1.10) for each 10 μg/m3 increase in PM2.5 for the 1st, 2nd, 3rd trimester and over the entire pregnancy, respectively]. The effects appeared to be stronger among women who come from rural areas, worked as farmers, were overweight before conception, whose mate was smoking during pregnancy, and conceived in autumn. Conclusion: This study provides clear evidence that exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth. Public policies regarding improvement of air quality would produce great health benefit by reducing the burden of preterm birth.

AB - Background: Most evidences regarding ambient PM2.5 or PM10 (particulate matter of median aerodynamic diameter ≤2.5 μm or ≤10 μm) and preterm birth (PTB) come from western countries which has relatively low PM pollution exposure, and the results are still inconsistent. This study aims to examine whether exposure to high concentrations of PM2.5 or PM10 was associated with PTB (<37 weeks) and near term birth (37–38 weeks). Method: We established a birth cohort with 1,280,524 singleton pregnancies who delivered from Dec 1st, 2013 to Nov 30th, 2014 and matched their home address to PM2.5 and PM10 concentrations which were predicted with machine learning methods based satellite remote sensing, meteorological and land use information. Cox proportional hazard regression models were used to analyze the associations between PTB and exposure of PM2.5 or PM10, after controlling for individual level covariates. Results: Exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth [e.g., Hazard ratios: 1.09 (95% CI: 1.09, 1.10), 1.08 (95% CI: 1.07, 1.08), 1.01 (95% CI: 1.01, 1.02), and 1.09 (95% CI: 1.08, 1.10) for each 10 μg/m3 increase in PM2.5 for the 1st, 2nd, 3rd trimester and over the entire pregnancy, respectively]. The effects appeared to be stronger among women who come from rural areas, worked as farmers, were overweight before conception, whose mate was smoking during pregnancy, and conceived in autumn. Conclusion: This study provides clear evidence that exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth. Public policies regarding improvement of air quality would produce great health benefit by reducing the burden of preterm birth.

KW - Birth cohort

KW - Preterm birth

KW - Satellite-based PM and PM predictions

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