Jennifer L Ish, Jessica M Madrigal, John L Pearce, Alexander P Keil, Jared A Fisher, Rena R Jones, Dale P Sandler, Alexandra J White
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We assessed pollutant mixtures using an exposure continuum mapping (ECM) framework and characterized associations using a joint-exposure response function.</p><p><strong>Results: </strong>During follow-up (median = 13.4 years), we identified 4155 breast cancer cases. We observed nonmonotonic but elevated associations with breast cancer for emissions within 3 km of the residence for nickel compounds (HR quintile5vs.none = 1.3; 95% CI = 1.0, 1.6) and trichloroethylene (HR quintile5vs.none = 1.3; 95% CI = 1.0, 1.6). ECM identified 25 mixture profiles that explained 72% of the variance in emissions patterns, with most participants experiencing relatively low emissions profiles. The joint-exposure response function suggested that a higher incidence of breast cancer occurred among individuals with relatively rare, high emissions profiles; however, the overall trend was not associated with breast cancer ( P = 0.09).</p><p><strong>Conclusions: </strong>In our study, breast cancer incidence was associated with air emissions of certain industrial carcinogens. 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引用次数: 0
摘要
背景:我们评估了工业化合物的空气排放,其中许多具有致癌或内分泌干扰特性,与乳腺癌发病率有关。方法:使用美国环境保护署的有毒物质释放清单,我们量化了在研究入组前10年(2003-2006年)姊妹研究参与者住所附近28种化合物的空气排放;n = 46150)。我们使用Cox比例风险回归来估计住宅单一污染物排放水平与乳腺癌发病率之间的调整风险比(HR)和95%置信区间(CI)。我们使用暴露连续映射(ECM)框架评估污染物混合物,并使用联合暴露响应函数表征关联。结果:在随访期间(中位数=13.4年),我们发现了4155例乳腺癌病例。我们观察到住宅3公里范围内镍化合物(HRquintile5vs)的排放与乳腺癌的相关性非单调但升高。无= 1.3;95% CI 1.0, 1.6)和三氯乙烯(HRquintile5vs。无= 1.3;95% ci 1.0, 1.6)。ECM确定了25种混合分布,解释了72%的排放模式差异,大多数参与者的排放分布相对较低。联合暴露反应函数表明,相对罕见的高排放个体的乳腺癌发病率较高;然而,总体趋势与乳腺癌无关(p=0.09)。结论:在我们的研究中,乳腺癌的发病率与某些工业致癌物的空气排放有关。虽然总体排放混合物没有显示出与乳腺癌相关的趋势,但这可能不能反映出个别化合物或特定排放源的重要性。
Industrial Air Emissions and Breast Cancer Incidence in a United States-wide Prospective Cohort.
Background: We evaluated air emissions of industrial compounds, many of which have carcinogenic or endocrine-disrupting properties, in relation to breast cancer incidence.
Methods: Using the United States Environmental Protection Agency's Toxics Release Inventory, we quantified air emissions of 28 compounds near Sister Study participants' residences during the 10 years leading up to study enrollment (2003-2006; n = 46,150). We used Cox proportional hazards regression to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for associations of residential emission levels of single pollutants with incident breast cancer. We assessed pollutant mixtures using an exposure continuum mapping (ECM) framework and characterized associations using a joint-exposure response function.
Results: During follow-up (median = 13.4 years), we identified 4155 breast cancer cases. We observed nonmonotonic but elevated associations with breast cancer for emissions within 3 km of the residence for nickel compounds (HR quintile5vs.none = 1.3; 95% CI = 1.0, 1.6) and trichloroethylene (HR quintile5vs.none = 1.3; 95% CI = 1.0, 1.6). ECM identified 25 mixture profiles that explained 72% of the variance in emissions patterns, with most participants experiencing relatively low emissions profiles. The joint-exposure response function suggested that a higher incidence of breast cancer occurred among individuals with relatively rare, high emissions profiles; however, the overall trend was not associated with breast cancer ( P = 0.09).
Conclusions: In our study, breast cancer incidence was associated with air emissions of certain industrial carcinogens. Although the overall emissions mixture did not show a trend related to breast cancer, this may not reflect the importance of individual compounds or specific emissions sources.
期刊介绍:
Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.