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. 2021 Jun 1;11:11419. doi: 10.1038/s41598-021-91000-0

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Multivariable logistic regression model. Estimated associations of the increase by interquartile range of yearly air pollution and chronic kidney disease. Model was model was adjusted for seasonality and long-time trends, weather conditions: temperature, humidity, atmospheric pressure, age, sex, and clinical variables including obesity, atrial fibrillation, hyperlipidemia, diabetes mellitus, arterial hypertension. Abbreviations: NO₂, nitrogen dioxide; PM_2.5, particulate matter with a diameter of 2.5 μm or less; PM_10, particulate matter with a diameter of 10 μm or less; SO₂, sulfur dioxide.