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空气污染与糖尿病之间的关系:对米兰大都市区各直辖市的研究。

The relationship between air pollution and diabetes: A study on the municipalities of the Metropolitan City of Milan.

机构信息

Bocconi University, Milan, Italy.

Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

出版信息

Diabetes Res Clin Pract. 2021 Apr;174:108748. doi: 10.1016/j.diabres.2021.108748. Epub 2021 Mar 10.

Abstract

AIMS

Urbanisation has been linked with an increased risk of developing diabetes mellitus, dramatically worsening the healthcare system's financial burden. Environmental influences are emerging among the causing factors of the urban diabetes epidemic. We evaluated the relationship between air pollution and the prevalence of diabetes in the Municipalities of the Metropolitan City of Milan, comprising more than 3,4 million citizens.

METHODS

The prevalence of diabetes in the resident population and the mean annual air concentrations of PM10 and NO2 were retrieved from the municipal Agency for Health Protection and the regional Agency for Ambient Protection datasets. Two linear regression models were estimated to inspect the relationships between the (logit-based transformed) diabetes prevalence and air pollution concentrations, namely: (i) PM10, and (ii) NO2. Both models were adjusted for five control variables, including the qualitative variable year (2011-2018).

RESULTS

Both models highlight a statistically significant positive relationship between air pollutants and diabetes prevalence. An increase of one PM10 or NO2 concentrations' unit translates into a rise of 0.81% or 0.41% in diabetes prevalence, respectively.

CONCLUSION

Our results contribute to the ongoing research regarding health outcomes of urbanisation dynamics and should be considered in city planning policies.

摘要

目的

城市化与糖尿病发病风险增加有关,这极大地加重了医疗体系的财政负担。环境因素是导致城市糖尿病流行的因素之一。我们评估了米兰大都市区各城市的空气污染与糖尿病患病率之间的关系,这些城市的居民超过 340 万。

方法

从市卫生局和地区环境保护局的数据集中检索了居民糖尿病患病率和 PM10 及 NO2 的年平均空气浓度。我们估计了两个线性回归模型,以检验(基于对数转换的)糖尿病患病率与空气污染浓度之间的关系,即:(i)PM10,和(ii)NO2。这两个模型都调整了五个控制变量,包括年份这个定性变量(2011-2018 年)。

结果

两个模型都突出了空气污染物与糖尿病患病率之间存在统计学上的显著正相关关系。PM10 或 NO2 浓度每增加一个单位,糖尿病患病率就会分别上升 0.81%或 0.41%。

结论

我们的研究结果有助于了解城市化动态对健康结果的影响,并应在城市规划政策中加以考虑。

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