4.6 Article

Association between Atrial Fibrillation Incidence and Temperatures, Wind Scale and Air Quality: An Exploratory Study for Shanghai and Kunming

Journal

SUSTAINABILITY
Volume 13, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/su13095247

Keywords

atrial fibrillation; environmental factors; binary logistic model; sustainable development; early warning

Funding

  1. Shanghai Key Laboratory of Interventional Medical Devices and Equipment [19DZ2230500]
  2. National and Regional Research Projects of Ministry of Education of the People's Republic of China in 2020 [2020-N53]
  3. Decision Consulting Cultivation Project of University of Shanghai for Science and Technology [2020-JCPY-01]
  4. Connotation Construction Project for University Think Tank of Shanghai Municipal Education Commission [20ZKNH068]

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Atrial fibrillation, as a common cardiovascular disease, is significantly influenced by environmental factors. This research compared the impact of environmental factors on atrial fibrillation incidence between Shanghai and Kunming, showing that environmental impacts on atrial fibrillation prevalence have generality, regionality, and lagging characteristics.
As a common cardiovascular disease, atrial fibrillation has the characteristics of high morbidity, high disability, and high fatality rates, seriously endangering human health and sustainability. Some research has confirmed that environmental factors are related to the risk of illness and death from cardiovascular diseases (including atrial fibrillation), while there is still little comparison on the situation of the two cities in China. This research uses medical data in Shanghai and Kunming establishing, through two-step research, logistic models to compare the impacts on atrial fibrillation incidence to figure out the association between environmental factors (including air pollution, weather, temperature, and wind scales) and atrial fibrillation. Finally, this research shows that environmental impacts on atrial fibrillation prevalence have generality, regionality, and lagging characteristics. The result is significant for atrial fibrillation patients and provides a reliable medical theory basis for nursing measures. Besides, this research provides a prospective method of offering early warning for potential atrial fibrillation patients, helping to maintain human beings' sustainable development.

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