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人群中持久性有机污染物(POPs)生物监测数据的差异:对多个基于人群的数据集的检验,以供应用于澳大利亚综合生物监测数据。

Population variation in biomonitoring data for persistent organic pollutants (POPs): an examination of multiple population-based datasets for application to Australian pooled biomonitoring data.

机构信息

Summit Toxicology LLP, Falls Church, VA, USA; National Research Centre for Environmental Toxicology (ENTOX), University of Queensland, Brisbane, Queensland, Australia.

Statistics Canada, Ottawa, Ontario, Canada.

出版信息

Environ Int. 2014 Jul;68:127-38. doi: 10.1016/j.envint.2014.03.026. Epub 2014 Apr 13.

Abstract

BACKGROUND

Australian national biomonitoring for persistent organic pollutants (POPs) relies upon age-specific pooled serum samples to characterize central tendencies of concentrations but does not provide estimates of upper bound concentrations. This analysis compares population variation from biomonitoring datasets from the US, Canada, Germany, Spain, and Belgium to identify and test patterns potentially useful for estimating population upper bound reference values for the Australian population.

METHODS

Arithmetic means and the ratio of the 95th percentile to the arithmetic mean (P95:mean) were assessed by survey for defined age subgroups for three polychlorinated biphenyls (PCBs 138, 153, and 180), hexachlorobenzene (HCB), p,p-dichlorodiphenyldichloroethylene (DDE), 2,2',4,4' tetrabrominated diphenylether (PBDE 47), perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS).

RESULTS

Arithmetic mean concentrations of each analyte varied widely across surveys and age groups. However, P95:mean ratios differed to a limited extent, with no systematic variation across ages. The average P95:mean ratios were 2.2 for the three PCBs and HCB; 3.0 for DDE; 2.0 and 2.3 for PFOA and PFOS, respectively. The P95:mean ratio for PBDE 47 was more variable among age groups, ranging from 2.7 to 4.8. The average P95:mean ratios accurately estimated age group-specific P95s in the Flemish Environmental Health Survey II and were used to estimate the P95s for the Australian population by age group from the pooled biomonitoring data.

CONCLUSIONS

Similar population variation patterns for POPs were observed across multiple surveys, even when absolute concentrations differed widely. These patterns can be used to estimate population upper bounds when only pooled sampling data are available.

摘要

背景

澳大利亚的持久性有机污染物(POPs)国家生物监测依赖于特定年龄的混合血清样本,以描述浓度的集中趋势,但不提供上限浓度的估计值。本分析通过比较来自美国、加拿大、德国、西班牙和比利时的生物监测数据集的人群变异,以确定和测试可能有助于估计澳大利亚人群上限参考值的模式。

方法

对三种多氯联苯(PCB 138、153 和 180)、六氯苯(HCB)、p,p-二氯二苯二氯乙烯(DDE)、2,2',4,4' 四溴二苯醚(PBDE 47)、全氟辛酸(PFOA)和全氟辛烷磺酸(PFOS),通过调查评估了算术平均值和第 95 百分位数与算术平均值的比值(P95:mean),定义了特定年龄亚组。

结果

每种分析物的算术平均值浓度在各调查和年龄组之间差异很大。然而,P95:mean 比值的差异有限,年龄之间没有系统的变化。三种 PCB 和 HCB 的平均 P95:mean 比值为 2.2;DDE 为 3.0;PFOA 和 PFOS 分别为 2.0 和 2.3。PBDE 47 的 P95:mean 比值在年龄组之间变化较大,范围为 2.7 至 4.8。Flemish 环境健康调查 II 中的年龄组特异性 P95 可以准确估计 P95:mean 比值,并用这些比值从混合生物监测数据中按年龄组估计澳大利亚人群的 P95。

结论

即使绝对浓度差异很大,在多个调查中也观察到 POPs 的相似人群变异模式。当仅提供混合采样数据时,这些模式可用于估计人群上限。

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