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首页> 外文期刊>Chemosphere >Estimation of age- and sex-specific background human serum concentrations of PCDDs, PCDFs, and PCBs in the UMDES and NHANES populations
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Estimation of age- and sex-specific background human serum concentrations of PCDDs, PCDFs, and PCBs in the UMDES and NHANES populations

机译:估计UMDES和NHANES人群中特定年龄和性别背景人类血清PCDD,PCDF和PCBs的浓度

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摘要

Age- and sex-specific estimates of serum dioxin concentrations are important for comparisons among populations. However, such comparisons are problematic because populations have different age and sex structures and values are typically reported only in broad age ranges that are not comparable across studies. There are few studies that report congener-specific serum concentrations, and none that provide these by sex for age as a continuous function. We combined the NHANES 2003-2004 data with the University of Michigan Dioxin Exposure Study (UMDES) referent population 2005 data to achieve stable and accurate estimates of mean and quantiles of serum dioxins by sex over ages 18-85. Survey-weighted linear and quantile regression models were fitted on the combined data with the log-transformed congener concentration as outcome and age, sex, and data source as covariates. Formulas are provided to allow calculations of age- and sex-specific mean and quantile estimates over ages 18-85. For instance, the geometric mean, median, 75th percentile, and 95th percentile of serum TEQ for men aged 50 can be estimated, respectively, from the formulas as 18.33, 19.02, 22.60, and 30.37 pg g~(-1) lipids among the Michigan general population, and as 15.71,15.89,22.60, and 29.90 pg g~(-1) lipids among US non-Hispanic whites. These methods and results are useful for comparing the congener-specific human serum dioxin concentrations in any individual to the general population mean, median, 75th percentile, and 95th percentile, and for comparing the serum dioxin concentration in any group of interest to the US and the Michigan general populations.
机译:血清二恶英浓度的年龄和性别特异性估计值对于人群之间的比较很重要。但是,这样的比较存在问题,因为人群具有不同的年龄和性别结构,并且通常仅在较广泛的年龄范围内报告价值,而跨年龄段的研究结果却无法比较。很少有研究报告同源基因特异性血清浓度,没有一项研究可以按性别提供年龄连续性功能。我们将NHANES 2003-2004数据与密歇根大学二恶英暴露研究(UMDES)参照人群2005数据相结合,以稳定,准确地估算18-85岁年龄段男女血清二恶英的均值和分位数。将调查加权线性和分位数回归模型拟合到合并数据上,以对数转换的同类物浓度作为结果,以年龄,性别和数据源作为协变量。提供公式可以计算18-85岁以上特定年龄和性别的均值和分位数。例如,可以从公式分别估算出50岁男性的血清TEQ的几何平均值,中位数,第75个百分位数和第95个百分位数,这些公式中的脂质分别为18.33、19.02、22.60和30.37 pg g〜(-1)。密歇根州的总人口,以及美国非西班牙裔白人中的15.71、15.89、22.60和29.90 pg g〜(-1)脂质。这些方法和结果可用于将任何个体中同族特异性人血清二恶英浓度与一般人群的平均值,中位数,第75个百分位数和第95个百分位数进行比较,以及比较美国和美国感兴趣的任何人群中的血清二恶英浓度。密歇根州的总人口。

著录项

  • 来源
    《Chemosphere》 |2013年第6期|817-823|共7页
  • 作者单位

    Department of Biostatistics, Mailman School of Public Health, Columbia University, New York NY 10032, USA;

    Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;

    Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;

    Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;

    Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;

    Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;

    Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA ,Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA;

    Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA ,Risk Science Center, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;

    Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA ,Risk Science Center, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;

    Department of Civil and Environmental Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA;

    Department of Civil and Environmental Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA;

    Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA ,Risk Science Center, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    dioxin; general population; human exposure; limit of detection; PCBs; percentiles;

    机译:二恶英总人口;人体暴露;检出限PCB;百分位数;

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