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. 2025 Jun;45(3):693-701.
doi: 10.19852/j.cnki.jtcm.2025.03.020.

Exploration of influential factors about deficiency constitution of Traditional Chinese Medicine based on multi-methods

Luo Yue  1 , Cheng Xiaoen  2 , Jiang Luxia  2 , S U Biliang  3   4 , Zhao Yuxin  2 , O U Jintao  5 , Wen Chuanbiao  2
Affiliations

Exploration of influential factors about deficiency constitution of Traditional Chinese Medicine based on multi-methods

Luo Yue et al. J Tradit Chin Med. 2025 Jun.

Abstract

Objective: To find more influencing factors Qi-deficiency constitution of Traditional Chinese Medicine (TCM) using dynamic and comprehensive information.

Methods: Because grey relational analysis (GRA) is good at processing incomplete information and has no special requirements for sample size and distribution. We acquired 2122 pieces of valid Qi-deficiency constitution dynamic data after preprocessing, and used GRA combing with χ 2 test and multivariate logistic regression analysis to discover and sort the influencing factors of Qi-deficiency constitution.

Results: For the calculation results of GRA, there were 10 (62.5%) aspects whose grey correlation degrees were greater than 0.6. The results of χ 2 test showed that all the above 10 aspects were statistically significant with Qi-deficiency constitution. The analysis results of multivariate logistic regression analysis showed the following factors were positively correlated with Qi-deficiency constitution: premature birth, sleeping late and getting up early, sleeping late and getting up late, irregular sleeping, sleeping 6.0-6.9 h per day, artificial feeding, female, age at 18-19, and father's age at 18-19 years old when a baby at birth. The following factors were negatively correlated with Qi-deficiency constitution: sleeping 8.0-8.9 h per day and ≥ 9.0 h per day, and age at 30-39 and 40-49 years old.

Conclusions: It is necessary to pay attention to these innate and acquired information of individuals which may lead to Qi-deficiency constitution. And our research also provides a novel methodological thinking for analyzing the influential factors of TCM constitution.

Keywords: deficiency constitution; grey relational analysis; influencing factors; multivariate analysis; univariate analysis.

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Figures

Figure 1
Figure 1. Visualization of Qi-deficiency constitution and the influential factors
Figure 2
Figure 2. Results of multivariate logistic regression analysis
B: coefficient (B); S.E.: standard error; P: P-value; Exp (B): odds ratio (exponential of B); 95% Cl: 95% confidence interval; Wald: Wald statistic.
Figure 3
Figure 3. ROC curve of Regression
AUC: area under curve.
See this image and copyright information in PMC

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