Analysis of the Modulation Pattern of Traditional Chinese Medicine Dietary Formulas for Diabetes Based on Data-mining in Ancient Classics
Objective To explore the regulation of Traditional Chinese Medicine(TCM)dietary formulas for diabetes,and to provide reference for clinical syndrome differentiation and diet therapy research of diabetes.Methods The diabetic dietary formulas in the Dictionary of Traditional Chinese Medicine Formulas,the Complete Record of Traditional Chinese Medicine Dietary Formulas,and the Dictionary of Chinese Medicinal Diets were collected,and the data of formula name,composition,and dosage form was extracted.The frequency and cluster analyses were carried out by SPSS 26.0,and the food preparation association analysis was performed by SPSS Modeler 18.0.Results A total of 264 dietary formulas involving 191 food items were included.Ancient Chinese medicine dietary formulas for diabetes were mostly composed of deficiency-supplementing(47.91％)medicinal substances and healthcare ingredients,followed by heat-clearing(11.84％).They were mostly of neutral(36.65％)and warm(31.41％)nature and the flavors were mostly of sweet(55.38％).The attributed meridians were the spleen meridian(18.99％),the kidney meridian(17.51％),the stomach meridian(16.46％),and the lung meridian(15.40％).Soup was the common dosage form(32.58％)while grains and cereals were used more frequent(25.25％).Its main treatment type was mainly deficiency of both Qi and Yin(32.07％).Conclusion Ancient physicians attached great importance to the treatment of diabetes by regulating the middle Jiao,flexibly applying dietary therapies to treat diabetes,supplementing deficiency with heat and dampness,good at regulating Qi and dispelling dampness and turbidities,making good use of warm products,following the principle of syndrome differentiation,selecting a variety of flavors,and organizing various formulas,which provide reference for clinical intervention in diabetes with TCM dietary formulas.
data-miningassociation rulecluster analysisTraditional Chinese Medicine diet therapydietary carediabetes
万方数据
维普
