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. 2020 Apr;99(16):e19689.
doi: 10.1097/MD.0000000000019689.

The population attributable risk and clustering of stroke risk factors in different economical regions of China

Shuju Dong  1 , Jinghuan Fang, Yanbo Li, Mengmeng Ma, Ye Hong, Li He
Affiliations

The population attributable risk and clustering of stroke risk factors in different economical regions of China

Shuju Dong et al. Medicine (Baltimore). 2020 Apr.

Abstract

The greatest regional variation in stroke prevalence exists in China. However, whether there are differences in population attributable risk (PAR) and clustering of stroke risk factors among regions resulting in stroke geographic variation is unclear.We conducted face-to-face surveys of residents of 14 provinces from September 2016 to May 2017 who participated in the Chinese Stroke Screening and Prevention Project. We compared the specific PAR values of eight risk factors and the different cluster rates and patterns in China.A total of 84,751partipants were included. Eight factors accounted for 70% to 80% of the PAR of overall stroke in China. Not only did the PAR of the total risk factors differ among the 3 regions, but the PAR of the same risk factor also varied among different regions. The top 3 factors with the greatest PAR variations among the 3 regions were dyslipidemia, physical inactivity and family history of stroke. The clustering rates and patterns varied by regions. The overall proportion of participants with 0, 1, 2, 3, and ≥4 risk factors were 34.4%, 28.0%, 17.4%, 9.2%, and 10.3% in eastern China; 31.0%, 27.9%, 19.8%, 10.8%, and 9.9% in Central China and 28.2%, 29.5%, 19.9%, 10.8%, and 11.0% in western China, respectively. On basis of hypertension, the most common risk cluster patterns were overweight or smoking, dyslipidemia and physical inactivity, with other risk factors in the eastern, central and western regions, respectively.The rates and patterns of clustering and the potential importance of stroke risk factors in different regions may together contribute to the geographical variation in stroke prevalence in China.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1
Figure 1
The PAR of individual stroke risk factor in different regions with univariate analysis.
Figure 2
Figure 2
The PAR of individual stroke risk factor in different regions calculated by model 1.
Figure 3
Figure 3
The PAR of individual stroke risk factor in different regions calculated by model 2.
See this image and copyright information in PMC

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