Ellis Edgar T, Young Sean G, Carroll Rachel, Stahr Shelbie D, Runnells Gail A, Grasmuck Elizabeth A, Su L Joseph, Park Yong-Moon Mark, Hsu Ping-Ching
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, 75390, USA.
Environ Pollut. 2025 Mar 1;368:125709. doi: 10.1016/j.envpol.2025.125709. Epub 2025 Jan 17.
Previous epidemiological studies on the associations between hazardous air pollutants (HAPs) and breast cancer (BC) have largely neglected rural, medically underserved areas in the United States, which differ in exposures and disparities compared to urban areas.
We aimed to examine the associations between carcinogenic HAPs and BC risk in a rural population.
Using a nested case-control design, 574 cases and 2295 incidence density-sampled controls matched 1:4 on index age and race were included from the Arkansas Rural Community Health study. Twelve census-tract level HAPs from the 2005 National Air Toxics Assessment were geocoded to participants' baseline addresses and categorized into tertiles based on the control distributions. Multivariable conditional logistic regression analysis was used to estimate associations for BC and subgroups. Additionally, weighted quantile sum (WQS) regression was used to assess the effects of pollutant mixtures.
Adjusted models resulted in significantly increased risk of BC for moderate PAH (OR = 1.32; 95% CI 1.03-1.69) and high chromium (OR = 1.31; 95% CI 1.00-1.70, P trend = 0.04) exposure. The WQS index term, which is the regression coefficient of the combined pollutant mixture, was non-significantly positively associated with BC (OR = 1.21; 95% CI 0.96-1.53). Chromium (0.45), propylene dichloride (0.15), and polychlorinated biphenyls (0.09) were weighted the most, suggesting these pollutants had the greatest impact on the increased risk of BC. Joint effects models with first-degree family history of BC resulted in increased risk of BC for women with family history compared to women without family history and low PAH exposure.
This study highlights significant associations between specific HAPs, particularly PAHs and chromium, and increased BC risk in a rural population, emphasizing the need for targeted public health interventions and regulatory efforts to mitigate exposure in medically underserved areas.
以往关于有害空气污染物(HAPs)与乳腺癌(BC)之间关联的流行病学研究在很大程度上忽略了美国农村地区以及医疗服务不足的地区,这些地区与城市地区相比,暴露情况和差异有所不同。
我们旨在研究农村人群中致癌性HAPs与BC风险之间的关联。
采用巢式病例对照设计,从阿肯色州农村社区健康研究中纳入了574例病例和2295例按指数年龄和种族1:4匹配的发病密度抽样对照。将2005年国家空气毒物评估中的12种普查区水平的HAPs地理编码到参与者的基线地址,并根据对照分布分为三分位数。多变量条件逻辑回归分析用于估计BC及亚组的关联。此外,使用加权分位数和(WQS)回归来评估污染物混合物的影响。
调整后的模型显示,中度多环芳烃(PAH)暴露(OR = 1.32;95%CI 1.03 - 1.69)和高铬暴露(OR = 1.31;95%CI 1.00 - 1.70,P趋势 = 0.04)会使BC风险显著增加。WQS指数项,即组合污染物混合物的回归系数,与BC呈非显著正相关(OR = 1.21;95%CI 0.96 - 1.53)。铬(0.45)、二氯丙烯(0.15)和多氯联苯(0.09)的权重最大,表明这些污染物对BC风险增加的影响最大。有BC一级家族史的联合效应模型显示,与无家族史且PAH暴露低的女性相比,有家族史的女性患BC的风险增加。
本研究强调了特定HAPs,特别是多环芳烃和铬,与农村人群BC风险增加之间的显著关联,强调了需要有针对性的公共卫生干预措施和监管努力,以减少医疗服务不足地区的暴露。