To summarize and analyze the current adjuvant sleep-improving Chinese medicinal health products,this study retrieved the information on health products with the sleep-improving effect published by the Department of Special Food Safety Supervision and Management,State Administration for Market Regulation( SMAR),which was statistically analyzed with Microsoft Excel and TCMISS for the characteristics of formulations. A total of 435 sleep-improving health products were collected,including 344 ones containing Chinese herbal medicines. Among them,413 health products were not suitable for adolescents,neither 194 for pregnant women. Ten Chinese herbal medicines showed a frequency of use ≥40,with 1 095 times( 73. 1%) in use. Through unsupervised hierarchical entropy-based clustering of the above Chinese herbal medicines of health products( degree of support of 45 and confidence coefficient of0. 7),12 new formulas were obtained. The composition of Chinese herbal medicines was consistent with the principles of improving sleep in traditional Chinese medicine( TCM) theories,i. e.,replenishing the heart and spleen,nourishing blood,calming the nerves,nourishing Yin,reducing internal heat,communicating the heart and kidney,replenishing Qi,relieving convulsions,clearing heat,resolving phlegm,regulating the middle warmer,soothing the liver,relieving heat,and calming the heart. According to TCM theories,syndrome differentiation was performed based on the existing sleep-improving health products,followed by data mining and analysis according to the formulation regularity,aiming to provide new ideas for the development of new Chinese medicinal health products. In particular,attention should be attached to the requirements of special populations to provide a basis for follow-up studies,exert the advantages of TCM,and lay a foundation for Chinese medicinal health products to service the public.
Adolescent ; China ; Data Mining ; Drugs, Chinese Herbal ; Female ; Humans ; Medicine, Chinese Traditional ; Pregnancy ; Sleep