Center for Genomics and Personalized Medicine Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
J Toxicol Environ Health A. 2010;73(20):1382-93. doi: 10.1080/15287394.2010.497443.
Farmers commonly experience rhinitis but the risk factors are not well characterized. The aim of this study was to analyze cross-sectional data on rhinitis in the past year and pesticide use from 21,958 Iowa and North Carolina farmers in the Agricultural Health Study, enrolled 1993-1997, to evaluate pesticide predictors of rhinitis. Polytomous and logistic regression models were used to assess association between pesticide use and rhinitis while controlling for demographics and farm-related exposures. Sixty-seven percent of farmers reported current rhinitis and 39% reported 3 or more rhinitis episodes. The herbicides glyphosate [odds ratio (OR) = 1.09, 95% confidence interval (95% CI) = 1.05-1.13] and petroleum oil (OR = 1.12, 95% CI = 1.05-1.19) were associated with current rhinitis and increased rhinitis episodes. Of the insecticides, four organophosphates (chlorpyrifos, diazinon, dichlorvos, and malathion), carbaryl, and use of permethrin on animals were predictors of current rhinitis. Diazinon was significant in the overall polytomous model and was associated with an elevated OR of 13+ rhinitis episodes (13+ episodes OR = 1.23, 95% CI = 1.09-1.38). The fungicide captan was also a significant predictor of rhinitis. Use of petroleum oil, use of malathion, use of permethrin, and use of the herbicide metolachlor were significant in exposure-response polytomous models. Specific pesticides may contribute to rhinitis in farmers; agricultural activities did not explain these findings.
农民通常会患鼻炎,但风险因素尚不清楚。本研究旨在分析 1993-1997 年参加农业健康研究的 21958 名爱荷华州和北卡罗来纳州农民过去一年的鼻炎和农药使用的横断面数据,以评估与鼻炎相关的农药预测因子。使用多项逻辑回归模型评估农药使用与鼻炎之间的关联,同时控制人口统计学和与农场相关的暴露因素。67%的农民报告目前患有鼻炎,39%的农民报告患有 3 次或更多次鼻炎发作。除草剂草甘膦(OR=1.09,95%CI=1.05-1.13)和石油油(OR=1.12,95%CI=1.05-1.19)与当前鼻炎和增加的鼻炎发作有关。在杀虫剂中,四种有机磷农药(毒死蜱、二嗪农、敌敌畏和马拉硫磷)、carbaryl 和在动物身上使用 permethrin 是当前鼻炎的预测因子。二嗪农在整体多项逻辑回归模型中具有统计学意义,与 13 次或更多次鼻炎发作的升高 OR 相关(13+次发作 OR=1.23,95%CI=1.09-1.38)。杀菌剂 captan 也是鼻炎的一个重要预测因子。使用石油油、使用马拉硫磷、使用 permethrin 和使用除草剂 metolachlor 在暴露反应多项逻辑回归模型中具有统计学意义。特定的农药可能会导致农民患鼻炎;农业活动并不能解释这些发现。