A quantitative approach for estimating exposure to pesticides in the Agricultural Health Study.

M. Dosemeci, M. Alavanja, A. Rowland, D. Mage, S. Zahm, N. Rothman, J. Lubin, J. Hoppin, D. Sandler, A. Blair
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引用次数: 251

Abstract

We developed a quantitative method to estimate long-term chemical-specific pesticide exposures in a large prospective cohort study of more than 58000 pesticide applicators in North Carolina and Iowa. An enrollment questionnaire was administered to applicators to collect basic time- and intensity-related information on pesticide exposure such as mixing condition, duration and frequency of application, application methods and personal protective equipment used. In addition, a detailed take-home questionnaire was administered to collect further intensity-related exposure information such as maintenance or repair of mixing and application equipment, work practices and personal hygiene. More than 40% of the enrolled applicators responded to this detailed take-home questionnaire. Two algorithms were developed to identify applicators' exposure scenarios using information from the enrollment and take-home questionnaires separately in the calculation of subject-specific intensity of exposure score to individual pesticides. The 'general algorithm' used four basic variables (i.e. mixing status, application method, equipment repair status and personal protective equipment use) from the enrollment questionnaire and measurement data from the published pesticide exposure literature to calculate estimated intensity of exposure to individual pesticides for each applicator. The 'detailed' algorithm was based on variables in the general algorithm plus additional exposure information from the take-home questionnaire, including types of mixing system used (i.e. enclosed or open), having a tractor with enclosed cab and/or charcoal filter, frequency of washing equipment after application, frequency of replacing old gloves, personal hygiene and changing clothes after a spill. Weighting factors applied in both algorithms were estimated using measurement data from the published pesticide exposure literature and professional judgment. For each study subject, chemical-specific lifetime cumulative pesticide exposure levels were derived by combining intensity of pesticide exposure as calculated by the two algorithms independently and duration/frequency of pesticide use from the questionnaire. Distributions of duration, intensity and cumulative exposure levels of 2,4-D and chlorpyrifos are presented by state, gender, age group and applicator type (i.e. farmer or commercial applicator) for the entire enrollment cohort and for the sub-cohort of applicators who responded to the take-home questionnaire. The distribution patterns of all basic exposure indices (i.e. intensity, duration and cumulative exposure to 2,4-D and chlorpyrifos) by state, gender, age and applicator type were almost identical in two study populations, indicating that the take-home questionnaire sub-cohort of applicators is representative of the entire cohort in terms of exposure.
农业健康研究中估计农药暴露的定量方法。
我们在北卡罗莱纳州和爱荷华州对58000多名农药施用者进行了一项大型前瞻性队列研究,开发了一种定量方法来估计长期化学特异性农药暴露。对施药者进行问卷调查,收集农药暴露的基本时间和强度相关信息,如混合条件、施药时间和频率、施药方法和使用的个人防护装备。此外,还进行了详细的带回家问卷调查,以进一步收集与强度相关的暴露信息,如混合和应用设备的维护或修理、工作习惯和个人卫生。超过40%的申请者回答了这份详细的带回家的问卷。开发了两种算法,分别使用登记和带回家的问卷信息确定施药者的暴露情景,以计算受试者对每种农药的暴露强度得分。“通用算法”使用登记问卷中的四个基本变量(即混合状态、施药方法、设备维修状态和个人防护装备使用情况)和已发表的农药暴露文献中的测量数据来计算每个施药者对每种农药的估计暴露强度。“详细”算法基于一般算法中的变量以及从带回家的问卷中获得的额外暴露信息,包括使用的混合系统类型(即封闭式或开放式),使用封闭式驾驶室和/或木炭过滤器的拖拉机,使用后洗涤设备的频率,更换旧手套的频率,个人卫生和泄漏后更换衣服的频率。两种算法中使用的加权因子是根据发表的农药暴露文献和专业判断的测量数据估计的。对于每个研究对象,将两种算法独立计算的农药暴露强度与问卷中农药使用时间/频率相结合,得出化学物质特异性终生累积农药暴露水平。2,4- d和毒死蜱的持续时间、强度和累积暴露水平分布按州、性别、年龄组和施药者类型(即农民或商业施药者)对整个入组队列和对带回家问卷的施药者亚队列进行了描述。在两个研究人群中,按州、性别、年龄和施药者类型划分的所有基本暴露指数(即2,4- d和毒死蜱的暴露强度、持续时间和累积暴露)分布模式几乎相同,表明施药者的带回家问卷亚队列在暴露方面具有整个队列的代表性。
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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