Urban-rural disparities in status of hypertension in Northeast China: A population-based study, 2017-2019

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Abstract

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.

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Xing, L., Jing, L., Tian, Y., Lin, M., Du, Z., Yan, H., … Liu, S. (2019). Urban-rural disparities in status of hypertension in Northeast China: A population-based study, 2017-2019. Clinical Epidemiology, 11, 801–820. https://doi.org/10.2147/CLEP.S218110

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