Clinical Research of Traditional Chinese Medicinal Diet Therapy for Treatment of Diabetic Patients with Deficiency of Both Qi and Yin

Objective To investigate the therapeutic effect of traditional Chinese medicinal diet therapy(TCMDT), which was established on the basis of traditional Chinese medical theory, for the treatment of diabetic patients with deficiency of both qi and yin. Methods A total of 60 diabetes mellitus(DM) patients with deficiency of both qi and yin which was in accordance with diagnostic and inclusion criteria were divided into TCM-DT treatment group and control group according to the randomized, controlled and single-blind design.Each group had 30 cases, and both groups were given DM basic treatment and nursing. The control group was given conventional diet therapy, while the TCM-DT treatment group was given nursing and intervention according to TCM-DT. The treatment lasted for 90 days, and the levels of fasting blood glucose(FBG), 2-hour postprandial blood glucose(2hPBG) and glycosylated hemoglobin as well as the diabetes specific quality of life(DSQL) in two groups were compared before and after treatment. Results(1)FBG, 2hPBG and glycosylated hemoglobin of the both groups after intervention were all decreased compared with those before treatment(P 0.05), and the decrease of TCM-DT treatment group showed a trend of being superior to that of the control group(P 0.05).(2) The scores of four scales of physical functioning(PF), mental health(MH), social Functioning(SF) and impact on patients(IOP) of DSQL scale were improved in TCM-DT treatment group after treatment(P0.05 compared with those before treatment), while the control group only had effect on improving the scores of SF and IO P(P 0.05). The improvement of PF, MH and IOP in TCM-DT treatment group was superior to that in the control group(P0.05). Conclusion The TCM-DT is effective on reducing the levels of FBG, 2hPBG and glycosylated hemoglobin in diabetic patients with deficiency of both qi and yin, and on improving the clinical efficacies and DSQL of the patients.