Regionalization of the Mortality Risk from Cardiomyopathy and Respiratory Diseases Based on the Maximum Entropy Model.

IF 1.1 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Global Health Epidemiology and Genomics Pub Date : 2024-08-20 eCollection Date: 2024-01-01 DOI:10.1155/2024/6103589
Raymundo Ordoñez-Sierra, Gabriela Domínguez-Cortinas, Iván Yassmany Hernández-Paniagua, José Luis Expósito-Castillo, Miguel A Gómez-Albores, María Guadalupe Rodríguez-Reyes, Brisa Violeta Carrasco-Gallegos, Luis Ricardo Manzano-Solís
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引用次数: 0

Abstract

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 µm), 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 μg/m3 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.

基于最大熵模型的心肌病和呼吸系统疾病死亡率风险区域化研究
本研究对墨西哥污染最严重的地区之一,即梅兹基塔河谷南部地区进行了一项时间序列研究。在建立模型时,考虑了与工业活动高度污染地区相关的三种死亡原因,即缺血性心肌病、间皮瘤和尘肺病。最大熵模型中使用的污染物暴露因子包括与河流的距离、与工业的距离、小于 2.5 微米的颗粒物(PM µm)以及数字高程模型(DEM)。此外,还获得了一个模型,该模型通过污染物暴露区域来表示疾病的存在。此外,还计算了几率比,以评估缺血性心肌病(OR = 3.37,95% CI:3.05-3.6)和间皮瘤(OR = 4.79,95% CI:3.5-6.08)与暴露地区的关联程度。在肺尘埃沉着病方面,只有极高接触类别的病例有记录,因此无法与其余地区的病例进行比较。值得一提的是,梅兹基塔河谷各市的颗粒物浓度值均超过 20 微克/立方米,而根据《墨西哥环境健康官方标准》(Norma Oficial Mexicana de Salud Ambiental 或 NOM,译为《墨西哥环境健康官方标准》)和有毒物质与疾病登记署(ATSDR)的规定,高浓度的颗粒物会对某些疾病的发展产生严重影响。在所研究的地区,分别有 70.3%和 79.1%的缺血性心肌病和间皮瘤是由污染引起的;因此,减轻污染可以预防这两种疾病的发生。
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来源期刊
Global Health Epidemiology and Genomics
Global Health Epidemiology and Genomics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.40
自引率
0.00%
发文量
10
审稿时长
20 weeks
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