...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Occupational and environmental medicine >From measures to models: an evaluation of air pollution exposure assessment for epidemiological studies of pregnant women.
【24h】

From measures to models: an evaluation of air pollution exposure assessment for epidemiological studies of pregnant women.

机译：从措施到模型：空气污染暴露评估对孕妇的流行病学研究的评估。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

OBJECTIVES: To evaluate exposure estimation methods such as spatially resolved land-use regression models and ambient monitoring data in the context of epidemiological studies of the impact of air pollution on pregnancy outcomes. METHODS: The study measured personal 48 h exposures (NO, NO(2), PM(2.5) mass and absorbance) and mobility (time activity and GPS) for 62 pregnant women during 2005-2006 in Vancouver, Canada, one to three times during pregnancy. Measurements were compared to modelled (using land-use regression and interpolation of ambient monitors) outdoor concentrations at subjects' home and work locations. RESULTS: Personal NO and absorbance (ABS) measurements were moderately correlated (NO: r = 0.54, ABS: r = 0.29) with monitor interpolations and explained primarily within-subject (temporal) variability. Land-use regression estimates including work location improved correlations for NO over those based on home postal code (for NO: r = 0.49 changed to NO: r = 0.55) and explained more between-subject variance (4-20%); limiting to a subset of samples (n = 61) when subjects spent >65% time at home also improved correlations (NO: r = 0.72). Limitations of the GPS equipment precluded assessment of including complete GPS-based mobility information. CONCLUSIONS: The study found moderate agreement between short-term personal measurements and estimates of ambient air pollution at home based on interpolation of ambient monitors and land-use regression. These results support the use of land-use regression models in epidemiological studies, as the ability of such models to characterise high resolution spatial variability is "reflected" in personal exposure measurements, especially when mobility is characterised.
机译：目的：在流行病学研究的背景下，评估空气污染对妊娠结局的影响，估算暴露估计方法，例如空间分辨的土地利用回归模型和环境监测数据。方法：这项研究测量了2005年至2006年加拿大温哥华的62名孕妇的48小时暴露（NO，NO（2），PM（2.5）质量和吸光度）和活动性（时间活动和GPS），测量了1-3次在怀孕期间。将测量值与受试者在家和工作地点的室外浓度进行建模（使用土地利用回归和环境监测器插值法）进行比较。结果：个人NO和吸光度（ABS）测量值与监测器插值呈中等相关性（NO：r = 0.54，ABS：r = 0.29），并主要解释了受试者内部（时间）的变异性。包括工作地点在内的土地利用回归估计比基于家庭邮政编码的NO改善了相关性（对于NO：r = 0.49更改为NO：r = 0.55），并解释了更多的受试者间差异（4-20％）;当受试者在家中度过> 65％的时间时，仅限于样本的子集（n = 61）也改善了相关性（NO：r = 0.72）。 GPS设备的局限性使得无法评估包括完整的基于GPS的移动性信息。结论：研究发现短期个人测量与基于环境监测器插值和土地利用回归的家庭环境空气污染估计值之间存在适度的一致性。这些结果支持在流行病学研究中使用土地利用回归模型，因为这种模型表征高分辨率空间变异性的能力在个人暴露测量中“得到体现”，尤其是在表征流动性时。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号