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J Expo Sci Environ Epidemiol. 2010 May;20(3):288-97. doi: 10.1038/jes.2009.50. Epub 2009 Sep 23.
Estimates of perchlorate intake by the US population can be derived from either urinary excretion data or through simulation of dietary intake. Estimates from surveys of urinary excretion (NHANES) are subject to substantial uncertainty owing to the small numbers of subjects for which data are currently available. In addition, current excretion estimates are derived from "spot" urine samples and include a component of short-term (intra-day) variability that may give biased estimates of the variability in average daily intakes. Previous dietary estimates have generally not included any contribution from drinking water, owing to a lack of data related to perchlorate concentrations in water supplies. In this paper, we derive simulation (Monte Carlo) estimates of dietary perchlorate intake distributions for reproductive-age women, which include explicit contributions from drinking water, and compare them to estimates based on urinary excretion. Perchlorate concentrations in water were estimated based on measurements from the US Environmental Protection Agency's UCMR1 database, and from other regional studies of perchlorate contamination. We find that including the drinking water contributions in the dietary simulations yields increases in the population's geometric mean perchlorate intake of 3-8 percent, with a conservative maximum of about 24 percent, compared to intakes estimated based on food intake alone. The intake distributions estimated from dietary and water consumption were found to be very similar to estimates based on creatinine-adjusted perchlorate excretion data from the NHANES, except for having lower population variability. When the dietary simulation data were adjusted to include a contribution from short-term variability similar to that in the "spot" urine samples, the variability in the NHANES and diet-derived estimates were found to be very similar. Our analyses indicate that a reasonable upper-bound estimate for the 95th percentile perchlorate intake among women of reproductive age in the US is on the order of 1.5 x 10(-4) mg/kg/day.
可以通过尿液排泄数据或通过模拟饮食摄入量来估计美国人口的高氯酸盐摄入量。由于目前可获得数据的受试者数量较少,因此来自尿液排泄调查(NHANES)的估计值存在很大的不确定性。此外,目前的排泄估计值来自“点”尿样,并且包括短期(日内)变异性的一个组成部分,这可能会对平均每日摄入量的变异性产生有偏差的估计。以前的饮食估计值通常不包括饮用水的任何贡献,因为缺乏与饮用水中高氯酸盐浓度相关的数据。在本文中,我们为育龄妇女推导了饮食高氯酸盐摄入量分布的模拟(蒙特卡罗)估计值,其中包括饮用水的明确贡献,并将其与基于尿液排泄的估计值进行了比较。水中的高氯酸盐浓度是根据美国环境保护署 UCMR1 数据库中的测量值以及其他地区的高氯酸盐污染研究来估计的。我们发现,与仅基于食物摄入量的估计值相比,在饮食模拟中包含饮用水贡献会使人群的几何平均高氯酸盐摄入量增加 3-8%,最大保守值约为 24%。从饮食和水消耗中估计的摄入量分布与基于肌酐调整的 NHANES 中高氯酸盐排泄数据的估计值非常相似,除了人群变异性较低。当饮食模拟数据被调整以包含与“点”尿样中相似的短期变异性贡献时,NHANES 和饮食衍生的估计值中的变异性非常相似。我们的分析表明,美国育龄妇女高氯酸盐摄入量第 95 百分位数的合理上限估计值约为 1.5 x 10(-4)mg/kg/天。