A cumulative dietary pesticide exposure score based on produce consumption is associated with urinary pesticide biomarkers in a U.S. biomonitoring cohort.

Alexis M Temkin, Varun Subramaniam, Alexa Friedman, Elvira Fleury, Dayna de Montagnac, Chris Campbell, David Q Andrews, Olga V Naidenko
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Abstract

Pesticide exposure has been linked to chronic health harms, yet the effects of cumulative dietary exposure to pesticide mixtures are poorly understood. A pesticide load index was created to rank produce based on pesticide contamination from national pesticide residue testing data for 44 produce types, primarily collected from 2013 to 2018. Three indices were created utilizing different indicators of pesticide contamination and toxicity. Dietary pesticide exposure scores for 1837 individuals were calculated based on produce consumption from the 2015-2016 National Health and Nutrition Examination Survey (NHANES). Covariate-adjusted weighted linear regressions were used to estimate the change in average pesticide biomarker rank relative to dietary pesticide exposure scores. Pesticide load indices were calculated based on detections of 178 unique parent pesticides, or 42 parent pesticides with matched urinary biomarkers in NHANES. Increasing dietary pesticide exposure scores were not associated with average pesticide biomarker rank (β [95 % CI] = 0.02 [-0.34, 0.38]) and were consistent across scores that utilized the different indices. Matching pesticides in food and urine, results in a slightly stronger association (β [95 % CI] = 0.09 [-0.32, 0.51]). Excluding potatoes resulted in a positive significant association (β [95 % CI] = 0.75 [0.35, 1.14]). When excluding potatoes, consumption of fruits and vegetables weighted by pesticide contamination was associated with higher levels of urinary pesticide biomarkers for organophosphate, pyrethroid, and neonicotinoid insecticides. Future research could use this methodology, with the recommendation to exclude potatoes, to assess the impact of dietary pesticide exposure on health outcomes.

在美国生物监测队列中,基于农产品消费的累积饮食农药暴露评分与尿液农药生物标志物相关。
农药暴露与慢性健康危害有关,但人们对农药混合物的累积饮食暴露的影响知之甚少。根据2013年至2018年主要收集的44种农产品的国家农药残留检测数据,创建了农药负荷指数,并根据农药污染程度对农产品进行排名。利用不同的农药污染和毒性指标建立了3个指标。根据2015-2016年国家健康与营养检查调查(NHANES)的农产品消费量,计算了1837人的膳食农药暴露得分。使用协变量调整加权线性回归来估计相对于膳食农药暴露评分的平均农药生物标志物等级的变化。根据NHANES中178种独特的亲本农药或42种与尿液生物标志物匹配的亲本农药的检测结果计算农药负荷指数。增加饮食农药暴露得分与平均农药生物标志物等级无关(β [95% CI] = 0.02[-0.34, 0.38]),并且在使用不同指标的得分之间是一致的。与食物和尿液中的农药相匹配,结果显示相关性略强(β [95% CI] = 0.09[-0.32, 0.51])。排除土豆导致显著正相关(β [95% CI] = 0.75[0.35, 1.14])。在排除土豆的情况下,食用被农药污染加权的水果和蔬菜与尿液中有机磷、拟除虫菊酯和新烟碱类杀虫剂的生物标志物水平较高有关。未来的研究可以使用这种方法,并建议将土豆排除在外,以评估饮食中农药暴露对健康结果的影响。
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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