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

Sha Lu, Yiyun Zhao, Zhouqi Chen, Mengke Dou, Qingchun Zhang and Weixin Yang
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Sha Lu: Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
Yiyun Zhao: Shanghai Key Laboratory of Interventional Medical Devices and Equipment, 1601 Zhangdong Road, Shanghai 201203, China
Zhouqi Chen: Shanghai Key Laboratory of Interventional Medical Devices and Equipment, 1601 Zhangdong Road, Shanghai 201203, China
Mengke Dou: Shanghai Key Laboratory of Interventional Medical Devices and Equipment, 1601 Zhangdong Road, Shanghai 201203, China
Qingchun Zhang: Shanghai Key Laboratory of Interventional Medical Devices and Equipment, 1601 Zhangdong Road, Shanghai 201203, China
Weixin Yang: Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China

Sustainability, 2021, vol. 13, issue 9, 1-18

Abstract: 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.

Keywords: atrial fibrillation; environmental factors; binary logistic model; sustainable development; early warning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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