• 1. Institute of Hospital Management, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
ZHANG Wei, Email: weizhanghx@163.com
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Objective To explore the regional and urban-rural disparities in the hypertension incidence of Chinese adults. Methods Based on the data from the China Health and Nutrition Survey (CHNS), as well as the consumption level and altitude data from the National Bureau of Statistics and government official website, a robust multilevel Poisson regression was performed to explore the regional and urban-rural disparities in the hypertension incidence of Chinese adults, according to data and design types. Results According to the inclusion and exclusion criteria, 11 579 subjects and totaling 50 957 lines of data were enrolled. The 24 years follow-up results indicated that the crude incidence density of hypertension was 37.08/1 000 person years, with 40.51/1 000 person years for males and 34.13/1 000 person years for females. The robust multilevel Poisson regression results indicated that, by adjusting the high-level factors such as time, the proportion of the community mainly engaged in agricultural labor, and the consumption level of subjects, as well as sociodemographic characteristics such as age and gender, the Middle (RR=1.20, 95%CI 1.04 to 1.39), Northeast (RR=1.25, 95%CI 1.03 to 1.52), and Eastern (RR=1.25, 95%CI 1.05 to 1.48) China had a higher risk of developing hypertension than the Western China. The risk of hypertension in urban area was lower than that in rural area (RR=0.87, 95%CI 0.77 to 0.96). Conclusion The incidence density of hypertension in China is relatively high, and male is higher than female. The incidence of hypertension in the Western China is lower than that in the Middle, Northeast and Eastern China, and urban area is lower than rural area.

Citation: LUO Yunmei, ZENG Zhi, HE Wenbo, ZHANG Wei. Study on regional and urban-rural disparities in the hypertension incidence of Chinese adults: based on longitudinal dynamic cohort of CHNS. Chinese Journal of Evidence-Based Medicine, 2024, 24(4): 414-422. doi: 10.7507/1672-2531.202312191 Copy

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