中医传统功法对2型糖尿病患者疗效的Meta分析

目的 运用meta分析统计方法系统评价中医传统功法在2型糖尿病患者中的应用效果。方法 通过检索Web of science、PubMed、中国知网、万方、维普等数据库，根据纳入和排除标准筛选文献，采用RevMan5.3软件对纳入文献进行统计分析。共纳入19篇文献，1 331名受试者。结果 中医传统功法能显著改善2型糖尿病患者的血糖（MD = - 0.42， 95%CI: - 0.65～- 0.18）、糖化血红蛋白（MD = - 0.41，95%CI: - 0.67～- 0.14）、体重指数（MD = - 1.93，95%CI: - 2.61～- 1.25）和甘油三酯水平（MD = - 0.38，95%CI: - 0.58～- 0.19），但总胆固醇（MD = - 0.16，95%CI: - 0.47～0.14）未见明显改善。亚组分析显示，运动周期2～3个月、运动频率1～3 d/周、运动时间30～60 min/d是效果最佳的运动方案。异质性检验显示，运动方式和年龄可能是异质性来源。结论 中医传统功法有助于2型糖尿病患者控制血糖、体重、糖化血红蛋白等生理生化指标。未来可以从机制变化上深入探讨五禽戏、易筋经等运动方式对患病人群的治疗效果，并控制受试者年龄、性别等变量的影响。

Meta-analysis of the effect of traditional Chinese medicine on type 2 diabetes

Objective To systematically evaluate the application effect of traditional Chinese medicine in patients with type 2 diabetes mellitus by meta-analysis. Methods By searching Web of science, PubMed, CNKI, Wanfang, VIP and other databases, literatures were screened according to inclusion and exclusion criteria, and RevMan5.3 software was used for statistical analysis. A total of 19 articles with 1 331 subjects were included. Results Traditional Chinese medicine kung fu significantly improved blood glucose (MD=-0.42, 95%CI: -0.65 to -0.18), glycosylated hemoglobin (MD=-0.41, 95%CI:-0.67 to -0.14), body mass index (MD=-1.93, 95%CI:-2.61 to -1.25), and triglyceride levels (MD=-0.38, 95%CI:-0.58 to -0.19), while no significant improvement was seen in total cholesterol (MD=-0.16, 95%CI:-0.47 to 0.14). Subgroup analysis showed that 2 to 3 months of exercise, 1 to 3 days per week and 30 to 60 minutes per day were the most effective exercise regimen. Heterogeneity test indicated that exercise pattern and age might be the source of heterogeneity. Conclusion Traditional Chinese medicine kung fu helps to control physiological and biochemical indicators such as blood glucose, body weight, and glycated hemoglobin in type 2 diabetic patients. In the future, the therapeutic effects of exercise modalities such as Wuqinxi (five-animal boxing) and Yijinjing (muscle-bone strengthening exercise) on the diseased population can be explored in depth in terms of mechanistic changes and controlling for the effects of variables such as age and gender of the subjects.