Does place have an effect on the traditional Chinese medicine concept of body constitution?

2014 ◽  
Author(s):  
Chien-tat Low
2019 ◽  
Vol 02 (01) ◽  
pp. 1-6
Author(s):  
Nabijan Mohammadturusn ◽  
Yizhe Xu ◽  
Fei Xu ◽  
Yuanhao Zhang ◽  
Zihui Tang ◽  
...  

Objective: We report on the association between traditional Chinese medicine (TCM) constitution and diabetes mellitus (DM) and provide epidemiological evidence for the theory of correlation between constitution and disease. Methods: A total of 3748 participants were used for data analysis, and all study subjects underwent a complete clinical baseline characteristics evaluation to collect related information. DM was determined by an oral glucose tolerance test. Multiple logistic regression (MLR) models were employed to detect the associations. Results: In total, 16.84% of the participants had DM in the total sample. Significant differences were found in age, height, weight, and heart rate, between the DM and non-DM groups. Univariate linear regression analyses indicated that the variables Qi_Deficient and Yang_Deficient were significantly associated with the outcome, and a negative correlation between TCM constitution and DM was found. After adjustment for relevant potential confounding factors, the MLR detected significant associations between both the Qi_Deficient and Yang_Deficient variables and DM ([Formula: see text]-value [Formula: see text] 0.015 for Qi_Deficient and [Formula: see text]-value [Formula: see text] for Yang_Deficient). In Qi_Deficient and Yin_Deficient participants, the odds ratios (ORs) for DM were 0.778 and 0.646, respectively. Conclusion: Qi_Deficient and Yang_Deficient were significantly associated with DM. These findings may provide insights for clinical practice for the prevention and diagnosis of DM.


2017 ◽  
Vol 14 ◽  
pp. 32-36 ◽  
Author(s):  
Fei Xu ◽  
Yuanhao Zhang ◽  
Wenqiang Cui ◽  
Tao Yi ◽  
Zihui Tang ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Yung-Cheng LIAO ◽  
Li-Li CHEN ◽  
Hsiao-Chiao WANG ◽  
Jui-Shan LIN ◽  
Tin-Kwang LIN ◽  
...  

2021 ◽  
Author(s):  
Haohui Liu ◽  
Meihui Xu ◽  
Kai Yee Toh ◽  
Chun Wie Chong ◽  
Jeremy Fung Yen Lim ◽  
...  

2013 ◽  
Vol 659 ◽  
pp. 123-127
Author(s):  
Zhi Biao Li

In this paper, artificial neural network architecture is introduced to predict the Yin-Yang index of body constitution in traditional Chinese medicine (BCTCM). With pre-processing the inputting data by the median, the collected data is more consistent with the exact value of the characteristic parameters of BCTCM. Quasi-Newton algorithm is used to train the network model to accelerate the convergence speed of network training. Experiments show that, the result showed that they had good prediction accuracies for BCTTCM. The mean absolute error for 10 true measured points was 0.034. Therefore, the prediction model of BCTCM Yin-Yang index with BP neural network is doable.


Sign in / Sign up

Export Citation Format

Share Document