Sturm Emily Terese, Castro Colton, Mendez-Colmenares Andrea, Duffy John, Burzynska Agnieszka Aga Z, Stallones Lorann, Thomas Michael L
Department of Psychology, Colorado State University, Fort Collins, CO 80523, USA.
Department of Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Int J Environ Res Public Health. 2022 Mar 13;19(6):3373. doi: 10.3390/ijerph19063373.
Certain exposures related to agricultural work have been associated with neurological disorders. To date, few studies have included brain health measurements to link specific risk factors with possible neural mechanisms. Moreover, a synthesis of agricultural risk factors associated with poorer brain health outcomes is missing. In this systematic review, we identified 106 articles using keywords related to agriculture, occupational exposure, and the brain. We identified seven major risk factors: non-specific factors that are associated with agricultural work itself, toluene, pesticides, heavy metal or dust exposure, work with farm animals, and nicotine exposure from plants. Of these, pesticides are the most highly studied. The majority of qualifying studies were epidemiological studies. Nigral striatal regions were the most well studied brain area impacted. Of the three human neuroimaging studies we found, two focused on functional networks and the third focused on gray matter. We identified two major directions for future studies that will help inform preventative strategies for brain health in vulnerable agricultural workers: (1) the effects of moderators such as type of work, sex, migrant status, race, and age; and (2) more comprehensive brain imaging studies, both observational and experimental, involving several imaging techniques.
某些与农业工作相关的暴露与神经系统疾病有关。迄今为止,很少有研究纳入脑健康测量来将特定风险因素与可能的神经机制联系起来。此外,缺少对与较差脑健康结果相关的农业风险因素的综合分析。在这项系统评价中,我们使用与农业、职业暴露和大脑相关的关键词检索到106篇文章。我们确定了七个主要风险因素:与农业工作本身相关的非特异性因素、甲苯、农药、重金属或粉尘暴露、与农场动物接触以及来自植物的尼古丁暴露。其中,农药是研究最多的。大多数符合条件的研究是流行病学研究。黑质纹状体区域是受影响最常被研究的脑区。在我们找到的三项人体神经影像学研究中,两项关注功能网络,第三项关注灰质。我们确定了未来研究的两个主要方向,这将有助于为弱势农业工人的脑健康预防策略提供信息:(1)工作类型、性别、移民身份、种族和年龄等调节因素的影响;(2)更全面的脑成像研究,包括观察性和实验性研究,涉及多种成像技术。