Instituto Interamericano de Tecnología y Ciencias Del Agua Universidad Autónoma Del Estado de México, Carretera Toluca-Atlacomulco, Km 14.5, Toluca, Estado de México, Mexico.
Facultad de Geografía Universidad Autónoma Del Estado de México Cerro de Coatepec Sin Número Ciudad Universitaria, Toluca 50110, Estado de México, Mexico.
Glob Health Epidemiol Genom. 2024 Aug 20;2024:6103589. doi: 10.1155/2024/6103589. eCollection 2024.
This research presents a time-series study in one of the most polluted regions in Mexico, the southern part of the Mezquital Valley. Three mortality causes related to areas highly contaminated by industrial activities were considered to carry out this model, namely, ischemic cardiomyopathy, mesothelioma, and pneumoconiosis. The pollutant exposure factors used in the maximum entropy modeling were distance to rivers, distance to industries, particulate matter less than 2.5 microns (PM < 2.5 m), and the digital elevation model (DEM). A model that expresses the presence of the disease by areas of exposure to pollutants was also obtained. In addition, the odds ratio was calculated to evaluate the level of association of ischemic cardiomyopathy (OR = 3.37 and 95% CI: 3.05-3.6) and mesothelioma (OR = 4.79 and 95% CI: 3.5-6.08) by areas of exposure. In the case of pneumoconiosis, only cases in the very high exposure category were recorded, so it was not comparable with the remaining areas. It is important to mention that particulate matter in the municipalities of the Mezquital Valley presented values above 20 g/m and that in accordance with the provisions of the Norma Oficial Mexicana de Salud Ambiental or NOM (translated as Mexican Official Standard for Environmental Health) and the Agency for Toxic Substances and the Disease Registry (ATSDR), high concentrations of particulate matter can have a severe impact on the development of some diseases. In the studied area, ischemic cardiomyopathy and mesothelioma were attributed to pollution in 70.3% and 79.1%, respectively; therefore, pollution mitigation could prevent the occurrence of these two diseases.
本研究对墨西哥污染最严重的地区之一——梅斯基特山谷南部进行了时间序列研究。为了开展该模型研究,考虑了与工业活动高度污染有关的三种与死亡率相关的病因,即缺血性心肌病、间皮瘤和尘肺。最大熵建模中使用的污染物暴露因素包括到河流的距离、到工业的距离、小于 2.5 微米的颗粒物(PM<2.5m)和数字高程模型(DEM)。还获得了一个通过暴露于污染物的区域来表示疾病存在的模型。此外,还计算了比值比(OR)来评估缺血性心肌病(OR=3.37,95%CI:3.05-3.6)和间皮瘤(OR=4.79,95%CI:3.5-6.08)暴露区的关联程度。对于尘肺,仅记录了极高暴露类别的病例,因此无法与其余区域进行比较。需要指出的是,梅斯基特山谷各城市的颗粒物含量超过 20g/m,根据墨西哥环境健康标准(NOM)和毒物和疾病登记署(ATSDR)的规定,高浓度的颗粒物可能会对某些疾病的发展产生严重影响。在研究区域中,缺血性心肌病和间皮瘤分别归因于 70.3%和 79.1%的污染;因此,减轻污染可以预防这两种疾病的发生。