o-333 水果种植再就业工人的农药暴露:在通常工作条件下评估的水平和决定因素(CANEPA 研究)与注册程序预测的水平和决定因素(EFSA 模型)的比较

Morgane Bresson, Mathilde Bureau, Lucie De Graaf, Maylis Leblanc, Yannick Lecluse, Isabelle Baldi, Pierre Lebailly
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引用次数: 0

摘要

导言接触农药会增加农民患慢性病的风险。了解接触情况对于流行病学和监管目的而言十分必要。自 2014 年以来,欧洲食物安全局在登记过程中使用 OPEX 模型对工人的暴露进行了评估。水果种植工人的具体数据仅限于 20 世纪 80 年代由农药公司等开展的五项欧洲研究。我们将法规中预测的暴露量与实地研究中测得的暴露量进行了比较。方法 2016-2017 年,我们使用贴片和棉手套测量了法国果农在 121 天的再入园(折叠和展开网、疏果)和收获期间皮肤接触克菌丹和双硫磷的情况。暴露量是通过几个参数(任务、个人防护设备 (PPE)、处理时间表)计算得出的。在 20 次观测中,根据施药后 2 至 312 天测量的可脱落叶面残留物 (RDF) 重新计算暴露量。通过线性回归研究了测量暴露量与计算暴露量之间的关系。结果 暴露取决于所穿戴的个人防护设备和所执行的任务(疏伐、折网、收割、铺网),这是因为农药在整个季节中在植物上的累积量不同。使用默认设置计算出的大部分接触量比测量接触量高出 100 倍。在所有观测结果中,模型都低估了用测定的 DFR 重新计算的双硫磷暴露量,几乎所有的克菌丹暴露量都低估了。讨论 在监管过程中,只有在施药后立即发生再进入暴露时才会进行计算。施药后 300 天内测量的暴露量从来都不是零。如果施药后没有立即再进入,模型就会低估暴露量。结论 这表明在登记过程中进行实地研究以确保采用真正保守的方法非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
O-333 PESTICIDE EXPOSURE IN FRUIT-GROWING RE-ENTRY WORKERS: COMPARING LEVELS AND DETERMINANTS ASSESSED UNDER USUAL CONDITIONS OF WORK (CANEPA STUDY) WITH THOSE PREDICTED BY REGISTRATION PROCESS (EFSA MODEL)
Introduction Pesticide exposure increases the risk of chronic disease among farmers. Understanding exposure is necessary for epidemiological and regulatory purposes. Since 2014, worker exposure has been assessed in the registration process by EFSA, using the OPEX model. Data specific to fruit-growing workers is limited to five European studies conducted in the 1980s by pesticide companies, among others. We compared exposure predicted in the regulations with that measured in field studies. Methods In 2016-2017, dermal exposure to captan and dithianon was measured in French farmers during 121 days of re-entry (net folding and deployment, thinning) and harvest, using patches and cotton gloves. Exposure was calculated using several parameters (task, personal protective equipment (PPE), treatment schedules). Exposure was recalculated from dislodgeable foliar residues (RDF) measured 2 to 312 days after application in 20 observations. Relationships between measured and calculated exposures were studied by linear regression. Results Exposure depended on PPE worn and tasks performed (thinning, net folding > harvest, net deployment) due to differences in pesticide accumulation on plants over the season. Most exposures calculated using default settings were 100 times higher than measured exposure. The model underestimated exposure recalculated with measured DFR in all observations for dithianon and almost all for captan. Discussion In the regulatory process, re-entry exposure is only calculated when it occurs immediately after application. Exposure measured up to 300 days after application was never zero. When re-entry was not immediate after application, the model underestimated exposure. Conclusion This demonstrates the importance of using field studies in the registration process to ensure a truly conservative approach.
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