Endocrine-disrupting pesticides and breast cancer incidence in the United States: an ecological analysis.

IF 2.1
Harish Neelam, Furqan Irfan, Robert Wahl, Kelly A Hirko
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Abstract

Purpose: We examined the associations between county-level endocrine-disrupting pesticide usage and breast cancer incidence, overall and by metropolitan status.

Methods: This ecological study used publicly available data from the United States Geological Survey on county-level agricultural pesticide usage (in kilograms). We focused on 38 pesticides with endocrine-disrupting properties relevant in breast cancer etiology, which were categorized by chemical class as follows: carbamates, neonicotinoids, organochlorines, organophosphates, phosphonates, pyrethroids, triazines, and other miscellaneous compounds. The analysis included 2,457 U.S. counties with data on pesticide usage (2001-2015) and age-adjusted breast cancer incidence rates (2016-2020), accounting for a latency period. Metropolitan status was assessed using the 2013 Rural-Urban Continuum Codes. Gamma regression models with a log-link function were used to estimate rate ratios (RR) and 95% confidence intervals (CI) between pesticides (per interquartile range increase) and age-adjusted breast cancer incidence rates, adjusting for county-level covariates including % smoking, % poverty, % unemployed, % no high school diploma, % uninsured, and residential mobility.

Results: Total median pesticide use was higher in rural vs. urban counties (17,523 kg vs. 14,743 kg; p < 0.05), with some variation by pesticide class. Pesticide use was associated with slightly higher breast cancer incidence in rural counties (RR = 1.02 (95% CI 1.01, 1.03)), but not in urban counties (RR = 1.00 (95% CI 1.00, 1.00)) (pint < 0.001). Associations differed by pesticide type.

Conclusion: Results suggest modest positive associations between county-level endocrine-disrupting pesticide use and breast cancer incidence in rural U.S. counties, with variation by pesticide type. These findings highlight the need for further research to inform targeted prevention efforts.

内分泌干扰农药与美国乳腺癌发病率:生态学分析。
目的:我们研究了县级内分泌干扰农药使用与乳腺癌发病率之间的关系,总体上和按大都市状态。方法:这项生态研究使用了美国地质调查局关于县级农业农药使用(以公斤为单位)的公开数据。我们重点研究了38种与乳腺癌病因相关的具有内分泌干扰特性的农药,这些农药按化学类别分类如下:氨基甲酸盐、新烟碱类、有机氯、有机磷酸盐、膦酸盐、拟除虫菊酯、三嗪类和其他杂项化合物。该分析包括2457个美国县的农药使用数据(2001-2015年)和年龄调整后的乳腺癌发病率(2016-2020年),占潜伏期。使用2013年农村-城市连续体代码评估大都市地位。采用log-link函数的Gamma回归模型来估计农药(每四分位数范围增加)与年龄调整后乳腺癌发病率之间的比率(RR)和95%置信区间(CI),调整了县级协变量,包括吸烟百分比、贫困百分比、失业百分比、无高中文凭百分比、未投保百分比和居住流动性。结果:农药总使用量中位数在农村县高于城市县(17,523 kg vs 14,743 kg);结论:结果表明,在美国农村县,县级内分泌干扰农药的使用与乳腺癌发病率之间存在适度的正相关,只是农药类型有所不同。这些发现强调需要进一步研究,为有针对性的预防工作提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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