Back to Journals » Clinical Epidemiology » Volume 11

Urban–Rural disparities in status of hypertension in northeast China: a population-based study, 2017–2019

Authors Xing L, Jing L, Tian Y, Lin M, Du Z, Yan H, Ren G, Dong Y, Sun Q, Liu S

Received 2 June 2019

Accepted for publication 13 August 2019

Published 3 September 2019 Volume 2019:11 Pages 801—820

DOI https://doi.org/10.2147/CLEP.S218110

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Professor Eyal Cohen


Liying Xing,1,2 Li Jing,2 Yuanmeng Tian,2 Min Lin,3 Zhi Du,1 Han Yan,2 Guocheng Ren,4 Yingna Dong,4 Qun Sun,5 Shuang Liu6

1Department of Cardiology, The First Hospital of China Medical University, Shenyang 110001, People’s Republic of China; 2Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, People’s Republic of China; 3Department of Cardiology, Central Hospital of Ben Xi City, Ben Xi, Liaoning, People’s Republic of China; 4Department of Disease Control and Preventive, Central Hospital of Chao Yang City, Chaoyang, Liaoning, People’s Republic of China; 5Department of Chronic Disease, Disease Control and Prevention of Chao Yang City, Chaoyang, Liaoning, People’s Republic of China; 6Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China

Correspondence: Shuang Liu
Department of Cardiovascular Ultrasound, First Hospital of China Medical University, No. 155 Nanjing North Street, Shenyang 110001, Liaoning, People’s Republic of China
Tel +86 1 394 034 0992
Fax +86 242 338 8556
Email liushuang_cmu1h@163.com

Background: To investigate the status of hypertension and related risk factor disparities between urban and rural areas of northeast China.
Methods: A multi-stage, stratified, and cluster random sampling method was used to conduct the cross-sectional survey in Liaoning Province in 2017–2019. Finally, included 18,796 participants (28.9% urban, 71.1% rural) aged ≥40 years. The prevalence and control rate of hypertension were estimated based on Chinese hypertension guidelines and the 2017 American College of Cardiology/American Heart Association (ACC/AHA) guidelines.
Results: The mean age of the population was 60.4±9.9 years, and 61.0% were women. The overall prevalence of hypertension was 56.8%. Compared to urban areas, hypertension was more prevalent, but the awareness, treatment, and control rates were lower in rural areas (59.2 vs 50.2, 52.5% vs 47.0%, 46.9% vs 34.9%, and 11.4% vs 3.7%, P<0.001, respectively). Multivariate regression analysis identified that the lack of exercise (odds ratio (OR), 1.24; 95% confidence interval (CI), 1.10–1.38) in rural areas, whereas overweight/obesity (OR, 2.01; 95% CI, 1.79–2.27) and alcohol consumption (OR, 1.20; 95% CI, 1.01–1.41) in urban areas were specific risk factors for hypertension, besides common risk factors. Under the 2017 ACC/AHA guidelines, the prevalence of hypertension was 80.6% (urban 76.6%, rural 82.2%), increased 1.4-fold compared with the current Chinese guidelines, with increased rates of 27.9% in urban areas and 25.7% in rural areas.
Conclusion: A highly diverse prevalence for hypertension was found between urban and rural areas in northeast China. Region-specific strategies targeting the prevention and management of hypertension should be highlighted.

Keywords: hypertension, prevalence, control, urban, rural
 

Creative Commons License This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Download Article [PDF]  View Full Text [HTML][Machine readable]