Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
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Article Number | 02009 | |
Number of page(s) | 4 | |
Section | BFS2020-Biotechnology and Food Science | |
DOI | https://doi.org/10.1051/e3sconf/202123302009 | |
Published online | 27 January 2021 |
Population and prevalence of hypertension in different regions of China
1 School of Information Science and Technology, Yunnan Normal University, Kunming, Yunnan, China
2 GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming, Yunnan, China
3 Faculty Of Geograghy, Yunnan Normal University, Kunming, Yunnan, China
* Corresponding author: janwie@126.com
Hypertension is the most common chronic disease in the Chinese population. The study analyzes the differences of hypertension in different regions in China from space, analyzes the influencing factors of the disease, and the spatial distribution of different populations. The data comes from CHARLS Harmonize. 22,310 interviewees were selected to respond effectively. Single-factor chi-square test and binary logistic regression were used to analyze the factors affecting hypertension. BMI, urban and rural areas, jogging 1KM, smoking, drink, gender, education status, public medical insurance and hypertension chi-square test are significant, BMI (OR=1.193 95%CI 1.182~1.203), age (OR =1.049, 95%CI 1.045~1.053). There is a spatial difference in the prevalence of hypertension in China, which provides a spatial reference for the control and prevention of different regions, so as to better prevent and treat patients with hypertension. Keywords: hypertension, spatial difference, CHARLS data
© The Authors, published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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