Division of Environmental Epidemiology, Institute for Risk Assessment Science, Utrecht University, Utrecht, The Netherlands.
Pesticide Registration Team, Federal Ministry of Agriculture and Natural Resource, Addis Ababa, Ethiopia.
Occup Environ Med. 2018 Apr;75(4):283-289. doi: 10.1136/oemed-2017-104538. Epub 2018 Feb 1.
To estimate prevalence of acute pesticide poisoning (APP) and its association with neurobehavioural symptoms in Ethiopian pesticide applicators.
We performed a cross-sectional survey among 256 pesticide applicators from small-scale irrigated farms, a large-scale open farm and large-scale greenhouses. APP was ascertained using a modified WHO case definition, and neurobehavioural symptoms were collected with a standardised questionnaire (Q16). Exposure to pesticides was estimated using detailed exposure algorithms specifically developed for Ethiopian farms. Multiple logistic regression models were used to estimate risk of APP and its association with neurobehavioural symptoms.
Overall APP prevalence was 16%. Working as an applicator in greenhouses was strongly associated with APP (OR 3.00, 95% CI 1.38 to 6.54). Estimated annual pesticide exposure was also associated with APP (OR 1.14, 95% CI 1.00 to 1.20). Longer duration of employment appeared to be negatively associated with APP. Having had an APP was strongly associated with reporting more neurobehavioural symptoms (OR 2.15, 95% CI 1.01 to 4.58) independent of cumulative pesticide exposure. Cumulative exposure to pesticides appeared to be associated with neurobehavioural symptoms among applicators without and with APP.
We showed a substantial prevalence of APP that differed between farming systems and was strongly associated with neurobehavioural symptoms. Intensity of exposure was also clearly associated with these symptoms. Reduction and control of occupational exposure to pesticides is urgently needed in Ethiopia.
估计埃塞俄比亚农药施用者中急性农药中毒(APP)的患病率及其与神经行为症状的关系。
我们对来自小型灌溉农场、大型露天农场和大型温室的 256 名农药施用者进行了横断面调查。APP 通过改良的世卫组织病例定义确定,神经行为症状通过标准化问卷(Q16)收集。使用专门为埃塞俄比亚农场开发的详细暴露算法估计农药暴露。使用多变量逻辑回归模型估计 APP 的风险及其与神经行为症状的关系。
总体上 APP 的患病率为 16%。在温室中担任施药者与 APP 密切相关(OR 3.00,95%CI 1.38 至 6.54)。估计的年农药暴露量也与 APP 相关(OR 1.14,95%CI 1.00 至 1.20)。较长的就业时间似乎与 APP 呈负相关。发生 APP 与报告更多神经行为症状密切相关(OR 2.15,95%CI 1.01 至 4.58),与累积农药暴露无关。累积农药暴露与有和没有 APP 的施药者的神经行为症状有关。
我们显示出 APP 的患病率相当高,不同的农业系统之间存在差异,并且与神经行为症状密切相关。暴露的强度也与这些症状明显相关。埃塞俄比亚迫切需要减少和控制职业性农药暴露。