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Associations between the Chemical Composition of PM2.5 and Gestational Diabetes Mellitus
Environmental Research ( IF 7.7 ) Pub Date : 2020-11-18 , DOI: 10.1016/j.envres.2020.110470
Yi Zheng , Xiaoxiao Wen , Jiang Bian , Heather Lipkind , Hui Hu

Background

Fine particulate matter (PM2.5) is a complex mixture of fine particulates with large spatiotemporal heterogeneities in chemical compositions. While PM2.5 has been associated with gestational diabetes mellitus (GDM), little is known about the relationship between specific chemical components of PM2.5 and GDM. We examined the associations between GDM and pregnancy exposures to PM2.5 and its compositions, including sulfate (SO42-), ammonium (NH4+), nitrate (NO3-), organic matter (OM), black carbon (BC), mineral dust (DUST), and sea-salt (SS), and to identify critical windows of exposure.

Methods

We used data from the 2005-2015 Florida Vital Statistics Birth Records. A well-validated geoscience-derived model was used to estimate women’s pregnancy exposures to PM2.5 and its compositions. Distributed lag models were used to examine the associations and to identify the critical windows of exposure.

Results

A total of 2,078,669 women were included. In single-pollutant models, after controlling for potential confounders, positive associations between PM2.5 and GDM were observed during the second trimester of pregnancy. We found positive associations between SO42-, NH4+, NO3-, OM and BC, with largest effect sizes observed in the 21-24 weeks of pregnancy. Negative associations were observed for DUST and SS. Consistent results for NH4+, OM, DUST and SS were observed in the multi-pollutant models.

Conclusions

Exposures to PM2.5 and its compositions (mainly NH4+, OM) during the second trimester are positively associated with GDM, especially for exposures during the 21-24 weeks of pregnancy. Further studies are needed to confirm the findings and examine the underlying mechanisms.



中文翻译:

PM 2.5的化学成分与妊娠糖尿病之间的关联

背景

细颗粒物(PM 2.5)是化学组成中具有较大时空异质性的细颗粒的复杂混合物。虽然PM 2.5与妊娠糖尿病(GDM)有关,但对PM 2.5的特定化学成分与GDM之间的关系知之甚少。我们检查GDM和妊娠曝光之间的关联,以PM 2.5和它的组合物,包括硫酸盐(SO 4 2-),铵(NH 4 +),硝酸(NO 3 - ),有机物(OM),黑碳(BC) ,矿物粉尘(DUST)和海盐(SS),并确定暴露的关键窗口。

方法

我们使用了2005-2015年佛罗里达生命统计出生记录中的数据。一个经过充分验证的地球科学衍生模型被用来估计妇女的PM 2.5及其成分对孕妇的暴露程度。分布式滞后模型用于检查关联并确定暴露的关键窗口。

结果

总共包括2,0,78,669名妇女。在单一污染物模型中,在控制了潜在的混杂因素之后,在妊娠中期就发现了PM 2.5与GDM之间的正相关。我们发现有正相关SO之间4 2-,NH 4 +,NO 3 -,OM和BC,具有最大的影响大小在21-24周妊娠的观察。观察到DUST和SS呈负相关。在多污染物模型中,NH 4 +,OM,DUST和SS的结果一致。

结论

妊娠中期暴露于PM 2.5及其成分(主要是NH 4 +,OM)与GDM呈正相关,尤其是在妊娠21-24周期间。需要进一步的研究来确认发现并检查潜在的机制。

更新日期:2020-11-18
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