Assessing exposure metrics for PM and birth weight models.
Assessing exposure metrics for PM and birth weight models.
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DOI：
10.1038/jes.2009.52
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发表时间：
2010-07
影响因子：
4.5
通讯作者：
中科院分区：
文献类型：
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由于不良妊娠结局与儿童和成人疾病发病之间的关系，空气污染暴露与不良分娩结局之间的联系受到公共卫生关注。由于获得个人暴露测量值既困难又昂贵，因此传统上使用空气污染暴露的近似测量值。我们探讨了不同的空气污染暴露指标如何影响出生体重回归模型。我们研究了北卡罗来纳州母亲暴露于空气动力学直径小于 10、小于 2.5 微米的颗粒物（PM10、PM2.5）的环境水平对婴儿出生体重的影响。我们将 2000 年至 2002 年怀孕期间产妇居住地与最近的监测仪联系起来（n=350,754）。对整个怀孕期间和每个三个月的县级空气污染浓度平均值进行了估计。为了获得更精细的空间分辨率指标，我们计算了居住在监测器 20、10 和 5 公里范围内的女性的暴露平均值。使用多元线性回归来确定暴露与出生体重之间的关联，并调整标准协变量。在县级模型中，整个妊娠期间 PM10 和 PM2.5 四分位间的增加分别使出生体重减少 5.3 克（95% CI：3.3 – 7.4）和 4.6 克（95% CI：2.3 – 6.8）。该模型还显示，在妊娠晚期，PM10（7.1 g，95% CI：1.0–13.2）和 PM2.5（10.4 g，95% CI：6.4 – 14.4）的出生体重有所下降。 20、10 和 5 公里距离的邻近模型显示了与县级模型类似的结果。县级模型假设暴露在比邻近模型更大的表面积上是空间均匀的。敏感性分析表明，尽管北卡罗来纳州始终达到联邦空气质量标准，但在不同的空间分辨率下，空气污染与出生体重之间仍然存在稳定的负相关关系。
The link between air pollution exposure and adverse birth outcomes is of public health concern due to the relationship between poor pregnancy outcomes and the onset of childhood and adult diseases. As personal exposure measurements are difficult and expensive to obtain, proximate measures of air pollution exposure are traditionally used. We explored how different air pollution exposure metrics affect birthweight regression models. We examined the effect of maternal exposure to ambient levels of particulate matter <10, <2.5 μm in aerodynamic diameter (PM10, PM2.5) on birthweight among infants in North Carolina. We linked maternal residence to the closest monitor during pregnancy for 2000–2002 (n=350,754). County-level averages of air pollution concentrations were estimated for the entire pregnancy and each trimester. For a finer spatially resolved metric, we calculated exposure averages for women living within 20, 10, and 5 km of a monitor. Multiple linear regression was used to determine the association between exposure and birthweight, adjusting for standard covariates. In the county level model, an interquartile increase in PM10 and PM2.5 during the entire gestational period reduced birthweight by 5.3 g (95% CI: 3.3 – 7.4) and 4.6 g (95% CI: 2.3 – 6.8), respectively. This model also showed a reduction in birthweight for PM10 (7.1 g, 95% CI: 1.0–13.2) and PM2.5 (10.4 g, 95% CI: 6.4 – 14.4) during the third trimester. Proximity models for 20, 10, and 5 km distances showed similar results to the county level models. County level models assume that exposure is spatially homogeneous over a larger surface area than proximity models. Sensitivity analysis demonstrated that at varying spatial resolutions, there is still a stable and negative association between air pollution and birthweight, despite North Carolina’s consistent attainment of federal air quality standards.
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影响因子：
10.4
作者：
Liu S;Krewski D;Shi Y;Chen Y;Burnett RT
通讯作者：
Burnett RT
影响因子：
158.5
作者：
MCCORMICK, MC
通讯作者：
MCCORMICK, MC
影响因子：
8.3
作者：
Lin, CM;Li, CY;Mao, IF
通讯作者：
Mao, IF
DOI：
10.1038/sj.jea.7500388
发表时间：
2005-03-01
期刊：
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY
影响因子：
--
作者：
Jerrett, M;Arain, A;Giovis, C
通讯作者：
Giovis, C
DOI：
10.1186/1476-069x-5-3
发表时间：
2006-02-17
期刊：
Environmental health : a global access science source
影响因子：
--
作者：
Dugandzic, Rose;Dodds, Linda;Smith-Doiron, Marc
通讯作者：
Smith-Doiron, Marc