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Empirical analysis

WC Weibin Cheng
YD Yumeng Du
QZ Qingpeng Zhang
XW Xin Wang
CH Chaocheng He
JH Jingjun He
FJ Fengshi Jing
HR Hao Ren
MG Mengzhuo Guo
JT Junzhang Tian
ZX Zhongzhi Xu
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We conducted the empirical analysis by calculating the high SBP/DPB prevalence (without any adjustment for confounding influences), which is simply dividing the number of high SBP/DBP individuals by the total research samples for each age group. We also summarized the characteristics of the research samples. Age, BMI, GLU, and TG are continuous variables, for which we reported the mean and standard deviation (SD). Gender is a binary feature, so we calculated and reported the number and percentage of men. Mann–Whitney U test and χ2 test with Yates’ correction were performed to explore the statistical significance of the continuous variables and the binary variable, respectively.

Copyright and License information:  ©2022 Cheng, Du, Zhang, Wang, He, He, Jing, Ren, Guo, Tian and Xu.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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