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The impact of neighborhood to industrial areas on health in Uzbekistan: an ecological analysis of congenital diseases, infant mortality, and lung cancer

机译:邻里对乌兹别克斯坦卫生地区的影响:生态分析,先天性疾病,婴儿死亡率和肺癌

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摘要

After political sovereignty, Uzbekistan's industry is growing fast. However, no investigation was performed so far, to evaluate whether an environmental risk, associated with the industry, is also increasing. Our aim was to investigate whether the distance from factories, as a surrogate measurement for environmental exposure to community, has any influence on some health outcomes in communities of Uzbekistan. For this first investigation, we analyzed prevalence of congenital diseases, infant mortality, and incidence rates of lung cancer, as examples for diseases associated with environmental factors. As crude measurement for the association, we used correlation and regression analysis with the distance to the next factory or plant as explanatory variable. A regression analysis demonstrated an association between the three outcome variables, with the strongest negative correlation (r=-0.48) and the highest determination power (r(2)=0.23) for congenital diseases' prevalence. For infant mortality and lung cancer incidence, descriptions and analyses demonstrated lower negative correlation of them with the distance and a lower predictive power of linear models. So, closer distance of the community to specific industrial plants can be considered an indirect factor of higher prevalence of congenital diseases in those communities. Prospective research is needed to further investigate whether the association between birth defects in a neighborhood of industrial plants is causal or due to confounding factors. A policy should consider a degree of known factors distribution in an environment and perform effective prevention of congenital diseases, in close communities.
机译:在政治主权之后,乌兹别克斯坦的行业正在快速增长。但是,到目前为止,没有进行调查,以评估与该行业相关的环境风险也在增加。我们的目的是调查工厂的距离,作为环境暴露对社区的替代测量,对乌兹别克斯坦社区的一些健康成果产生了任何影响。对于这个第一次调查,我们分析先天性疾病,婴儿死亡率和肺癌的发病率的盛行,作为与环境因素有关的疾病的例子。作为关联的原油测量,我们使用了与下一个工厂或工厂的距离作为解释变量的相关性和回归分析。回归分析证明了三种结果变量之间的关联,具有最强的负相关(R = -0.48)和先天性疾病的患病率的最高测定功率(R(2)= 0.23)。对于婴儿死亡率和肺癌发病率,描述和分析表明它们与线性模型的距离和较低的预测力较低的负相关性。因此,社区对特定工厂的近距离距离可被认为是这些社区中先天性疾病患病率更高的间接因素。需要预期研究,以进一步调查工业厂房附近的出生缺陷之间是否是因果的或由于混杂因素。政策应考虑一定程度的环境分布,并在密切社区中进行有效预防先天性疾病。

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