Predictors of plasma concentrations of DDE and PCBs in a group of US women

Predictors of plasma concentrations of DDE and PCBs in a group of US women
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DOI:
10.2307/3434292
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发表时间:
1999-01-01
影响因子:
10.4
通讯作者:
Hunter, DJ
Hunter, DJ
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Laden, F;Neas, LM;Hunter, DJ

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我们评估了一组240名妇女的血浆中二氯二苯二氯乙烯(DDE),二氯二苯三氯乙烷(DDT)的代谢物和多氯联苯(PCB)浓度的预测因子,对照组来自护士健康研究中的乳腺癌病例对照研究。我们考虑了个人属性,如年龄,血清胆固醇,居住地区,肥胖,哺乳和饮食摄入。DDE水平增加0.17 ppb/年(p = 0.0003),PCB增加0.08 ppb(p = 0.0001)。每10 mg/dl血清胆固醇,DDE和PCB分别增加0.20(p = 0.02)和0.13 ppb(p = 0.001)。生活在美国西部的妇女有较高水平的DDE(平均= 11.0 ppb; p = 0.003),和妇女在东北部和中西部有较高水平的多氯联苯(平均= 5.6 ppb; p = 0.0002)相比,从该国其他地区的妇女(平均DDE = 6.3;平均多氯联苯= 4.5 ppb)。DDE的水平不能从肉类、鱼类、家禽、乳制品、蔬菜、水果和谷物的消费中预测。在东北部和中西部的妇女中,鱼的消费量和多氯联苯浓度之间存在正相关。使用巢式病例对照研究中的病例数据评估模型的预测能力,我们证实DDE最可靠的预测因子是年龄和血清胆固醇,PCBs最重要的预测因子是年龄、血清胆固醇和居住在中西部或东北部。大多数食物变量的无效结果表明,除鱼类外,特定的饮食因素目前并不是人类接触DDE和PCB的重要因素。
We evaluated predictors of plasma concentrations of dichlorodiphenyldichloroethylene (DDE), a metabolite of dichlorodiphenyltrichloroethane (DDT), and polychlorinated biphenyls (PCBs) in a group of 240 women, controls from a breast cancer case-control study nested in the Nurses Health Study. We considered personal attributes such as age, serum cholesterol, region of residence, adiposity, lactation, and dietary intake. DDE levels increased 0.17 ppb/year of age (p = 0.0003), and PCBs increased 0.08 ppb (p = 0.0001). DDE and PCBs increased 0.20 (p = 0.02) and 0.13 ppb (p = 0.001), respectively, per 10 mg/dl serum cholesterol. Women living in the western United States had higher levels of DDE (mean = 11.0 ppb; p = 0.003), and women in the Northeast and Midwest had higher levels of PCBs (mean = 5.6 ppb; p = 0.0002) as compared to women from other parts of the country (mean DDE = 6.3; mean PCBs = 4.5 ppb). Levels of DDE could not be predicted from consumption of meat, fish, poultry, dairy products, vegetables, fruits, and grains. There was a positive association between fish consumption and PCB concentrations among women in the Northeast and Midwest. Using data from the cases in the nested case-control study to assess the predictive ability of the models, we confirmed that the most reliable predictors of DDE were age and serum cholesterol, and the most important predictors of PCBs were age, serum cholesterol, and residence in the Midwest or Northeast. The null results for the majority of the food variables suggest that specific dietary factors, other than fish, are not currently a substantial contributor to human exposure to DDE and PCBs.