Exposure to coarse particulate matter during gestation and birth weight in the U.S.
Exposure to coarse particulate matter during gestation and birth weight in the U.S.
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DOI：
10.1016/j.envint.2016.06.011
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发表时间：
2016-09
影响因子：
11.8
通讯作者：
Bell ML
中科院分区：
文献类型：
--
作者：
Ebisu K;Berman JD;Bell ML
很少有研究探讨粗颗粒 (PM10-2.5) 与不良出生结局之间的关系。我们研究了妊娠期 PM10-2.5 暴露与出生体重之间的关联。获得了 8,017,865 名出生的美国出生证明数据（1999-2007 年）。使用距母亲居住县人口加权质心 ≤ 35 公里的同位 PM10 和 PM2.5 监测仪估算妊娠期和妊娠期 PM10-2.5 暴露量。应用线性回归模型，并根据潜在的混杂因素进行调整。作为敏感性分析，我们探索了替代性 PM10-2.5 估算、PM2.5 调整以及按地区分层。妊娠期暴露于 PM10-2.5 与 PM10-2.5 暴露每增加四分位数 (7.8 μg/m3) 的出生体重降低 6.6 g（95% 置信区间：5.9、7.2）相关。所有三个三个月期都显示出关联。在不同的 PM10-2.5 暴露方法下，关联性保持一致，但幅度不同。调整 PM2.5 后的结果很稳健，区域分析显示所有四个地区都存在相关性，而南方的估计值较大。我们的结果表明，除了 PM2.5 之外，PM10-2.5 也与出生体重相关。区域异质性可能反映人口、测量误差、区域特定排放模式或 PM10-2.5 中不同化学成分的差异。大多数国家没有针对 PM10-2.5 制定基于健康的标准，但我们的研究结果表明 PM10-2.5 可能对健康产生重要影响。
Few studies have explored the relationship between coarse particles (PM10-2.5) and adverse birth outcomes. We examined associations between gestational exposure of PM10-2.5 and birth weight. U.S. birth certificates data (1999-2007) were acquired for 8,017,865 births. Gestational and trimester exposures of PM10-2.5 were estimated using co-located PM10 and PM2.5 monitors ≤ 35 km from the population-weighted centroid of mothers’ residential counties. A linear regression model was applied, adjusted by potential confounders. As sensitivity analyses, we explored alternative PM10-2.5 estimations, adjustment for PM2.5, and stratification by regions. Gestational exposure to PM10-2.5 was associated with 6.6 g (95% Confidence Interval: 5.9, 7.2) lower birth weight per interquartile range increase (7.8 μg/m3) in PM10-2.5 exposures. All three trimesters showed associations. Under different exposure methods for PM10-2.5, associations remained consistent but with different magnitudes. Results were robust after adjusting for PM2.5, and regional analyses showed associations in all four regions with larger estimates in the South. Our results suggest that PM10-2.5 is associated with birth weight in addition to PM2.5. Regional heterogeneity may reflect differences in population, measurement error, region-specific emission pattern, or different chemical composition within PM10-2.5. Most countries do not set health-based standards for PM10-2.5, but our findings indicate potentially important health effects of PM10-2.5.