糖尿病与中医体质的相关性研究

Nabijan Mohammadturusn, Yizhe Xu, Fei Xu, Yuanhao Zhang, Zihui Tang, Wenxian Liu
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引用次数: 1

摘要

目的:报道中医体质与糖尿病(DM)的相关性,为体质与疾病相关理论提供流行病学依据。方法:共纳入3748名受试者进行数据分析,所有研究对象均进行了完整的临床基线特征评估,收集相关信息。DM通过口服葡萄糖耐量试验测定。采用多元逻辑回归(MLR)模型来检测相关性。结果:总样本中有16.84%的参与者患有糖尿病。糖尿病组和非糖尿病组在年龄、身高、体重和心率方面存在显著差异。单因素线性回归分析显示,气虚、阳虚变量与预后显著相关,中医体质与DM呈负相关。在对相关的潜在混淆因素进行调整后,MLR检测出气虚和阳虚变量与DM之间存在显著相关性(气虚[公式:见文]-值[公式:见文]0.015,阳虚[公式:见文]-值[公式:见文])。在气虚和阴虚受试者中,DM的比值比(or)分别为0.778和0.646。结论:气虚、阳虚与糖尿病有显著相关性,为糖尿病的预防和诊断提供临床依据。
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Association study of diabetes mellitus and body constitution of traditional Chinese medicine
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.
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