Lipid adjustment in the analysis of environmental contaminants and human health risks.
Lipid adjustment in the analysis of environmental contaminants and human health risks.
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环境污染物和人类健康风险分析中的脂质调整。
DOI：
10.1289/ehp.7640
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发表时间：
2005-07
影响因子：
10.4
通讯作者：
Louis, TA
中科院分区：
文献类型：
--
作者：
Schisterman, EF;Whitcomb, BW;Louis, GMB;Louis, TA
关键词：
关于接触多氯联苯等亲脂剂的文献相互矛盾，给解释潜在的人类健康风险带来了挑战。实验室在量化多氯联苯方面的差异可能解释了一些相互矛盾的研究结果。例如，为了量化的目的，血液经常被用作脂肪组织的替代品，这使得在评估多氯联苯的健康风险时有必要对血清脂质进行建模。通过模拟研究，我们评估了四种统计模型(未调整、标准化、调整和两阶段)，用于分析多氯联苯暴露、血脂和健康结局风险(乳腺癌)。我们应用了八个候选的真实因果情景，用有向无环图来描述，以说明在解释结果时错误指定潜在假设的后果。偏离基本因果假设的统计模型产生了有偏见的结果。脂类标准化，或血清浓度除以血脂，被观察到非常容易产生偏差。我们的结论是，研究人员在设计评估与环境暴露相关的健康结果的统计计划时，必须考虑生物学、生物介质(例如，非空腹血样)、实验室测量和其他潜在的建模假设。
The literature on exposure to lipophilic agents such as polychlorinated biphenyls (PCBs) is conflicting, posing challenges for the interpretation of potential human health risks. Laboratory variation in quantifying PCBs may account for some of the conflicting study results. For example, for quantification purposes, blood is often used as a proxy for adipose tissue, which makes it necessary to model serum lipids when assessing health risks of PCBs. Using a simulation study, we evaluated four statistical models (unadjusted, standardized, adjusted, and two-stage) for the analysis of PCB exposure, serum lipids, and health outcome risk (breast cancer). We applied eight candidate true causal scenarios, depicted by directed acyclic graphs, to illustrate the ramifications of misspecification of underlying assumptions when interpreting results. Statistical models that deviated from underlying causal assumptions generated biased results. Lipid standardization, or the division of serum concentrations by serum lipids, was observed to be highly prone to bias. We conclude that investigators must consider biology, biologic medium (e.g., nonfasting blood samples), laboratory measurement, and other underlying modeling assumptions when devising a statistical plan for assessing health outcomes in relation to environmental exposures.
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影响因子：
2.7
作者：
BROWN, JF;LAWTON, RW
通讯作者：
LAWTON, RW
影响因子：
3.8
作者：
GUO, YL;EMMETT, EA;ROHDE, CA
通讯作者：
ROHDE, CA
影响因子：
10.3
作者：
Laden, F;Collman, G;Hunter, DJ
通讯作者：
Hunter, DJ
DOI：
10.1097/01.jom.0000058346.05741.b0
发表时间：
2003-05-01
影响因子：
3.2
作者：
Langer, P;Kocan, A;Klimes, I
通讯作者：
Klimes, I
影响因子：
254.7
作者：
Calle, EE;Frumkin, H;Thun, MJ
通讯作者：
Thun, MJ