This paper aimed at discussing the characteristics of blood glucose changes of type 2 diabetes according to the flow rule of Qi and Blood as well as the Hurst index of dynamic blood glucose collected by CGMS. A total of 156 T2DM patients were selected from the Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine. After continuous monitoring of dynamic blood glucose for 3 consecutive days (72 hours) with CGMS, the first complete 24 hour dynamic glucose, which start at 3 to 5 am(corresponding to Lung) and end at 1 to 3 am next morning(corresponding to Liver), are used for calculating each two-hours?? Hurst index. The measurement data was set at each two-hours, and multiple groups of related sample tests (Friedman) non- parametric test methods were used for comparison between groups. The statistical significance level was set to P ＜ 0.05. The results showed that the Hurst indices of each two-hour are all greater than 0.5. The three highest Hurst indices were: Stomach Hurst (0.960) ＞ Heart Hurst (0.946) ＞ Spleen Hurst (0.945), and the three lowest Hurst indices were: Lung Hurst (0.886) ＜ Liver Hurst (0.893) ＜ Large intestine Hurst (0.905). The standard deviation of the large intestine Hurst was the largest, reaching 0.088, and the standard deviation of the gastric Hurst was the smallest, 0.058. The distribution image of the Hurst index of individual patients at each twohours was similar to that obtained by the whole sample, but the specific time to a certain two-hours had fluctuations. The number of pairs with statistical difference between each two groups in two-hours is 29, accounting for 44％ of the total number of pairs. The organs and meridians that have more differences with other two-hours are successively stomach, lung, liver, kidney, spleen and heart. The differences of the blood glucose changes at different times in patients with type 2 diabetes can be indicated by the dynamic blood glucose Hurst indices, which are calculated according to the rule of Qi and blood flow.

BACKGROUND: Evidence on the relations of the American Heart Association's ideal cardiovascular health (ICH) with mortality in Asians is sparse, and the interaction between behavioral and medical metrics remained unclear. We aimed to fill the gaps. METHODS: A total of 198,164 participants without cancer and cardiovascular disease (CVD) were included from the China Kadoorie Biobank study (2004-2018), Dongfeng-Tongji cohort (2008-2018), and Kailuan study (2006-2019). Four behaviors (i.e., smoking, physical activity, diet, body mass index) and three medical factors (i.e., blood pressure, blood glucose, and blood lipid) were classified into poor, intermediate, and ideal levels (0, 1, and 2 points), which constituted 8-point behavioral, 6-point medical, and 14-point ICH scores. Results of Cox regression from three cohorts were pooled using random-effects models of meta-analysis. RESULTS: During about 2 million person-years, 20,176 deaths were recorded. After controlling for demographic characteristics and alcohol drinking, hazard ratios (95% confidence intervals) comparing ICH scores of 10-14 vs. 0-6 were 0.52 (0.41-0.67), 0.44 (0.37-0.53), 0.54 (0.45-0.66), and 0.86 (0.64-1.14) for all-cause, CVD, respiratory, and cancer mortality. A higher behavioral or medical score was independently associated with lower all-cause and CVD mortality among the total population and populations with different levels of behavioral or medical health equally, and no interaction was observed. CONCLUSIONS ICH was associated with lower all-cause, CVD, and respiratory mortality among Chinese adults. Both behavioral and medical health should be improved to prevent premature deaths.
Adult ; Humans ; Cardiovascular Diseases/prevention & control* ; East Asian People ; Prospective Studies ; Risk Factors ; Smoking