Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
J Res Health Sci. 2021 Sep 19;21(3):e00521. doi: 10.34172/jrhs.2021.63.
Up to now, different diet therapeutics interventions have been introduced for the treatment of obesity. The present study aimed to compare the diet therapeutics interventions for obesity simultaneously.
Systematic review and network meta-analysis METHODS: The major international databases, including Medline (via PubMed), Web of Science, Scopus, Cochrane Library, and Embase, were searched using a predesigned search strategy. Randomized controlled trials (RCTs) that had compared the diet therapy interventions were included. The mean difference with a 95% confidence interval was used to summarize the effect size in the network meta-analysis. The frequentist approach was used for data analysis.
In total, 36 RCTs out of 9335 retrieved references met the inclusion criteria in this review. The included RCTs formed nine independent networks. Based on the results, Hypocaloricdiet+Monoselect Camellia (MonCam, P=0.99), energy restriction, behavior modification+exercise (LED) (P=0.99), sweetener at 20% of total calories (HFCS20)+Ex (P=0.67), catechin-richgreentea(650)+inulin (P=0.68), very low calorie diet (VLCD) (P=1.00), normal protein diet+resistance exercise (NPD+RT) (P=0.80), low-calorie diets+exercise (Hyc+Ex) (P=0.85), high-soy-protein low-fat diet (SD) (P=0.75), calorie restriction+behavioral weight loss (Hyc+BWL) (P=0.99) were the better treatments for weight loss in the networks one to nine, respectively.
Based on the results of network meta-analysis, it seems that Hypocaloricdiet+MonCam, LED, HFCS20+Ex, catechin-rich green tea +inulin, VLCD, NPD+RT, Hyc+Ex, SD, Hyc+BWL, are the better treatments for weight loss in patients with overweight and obesity.
迄今为止,已经提出了不同的饮食治疗干预措施来治疗肥胖症。本研究旨在同时比较治疗肥胖症的饮食治疗干预措施。
系统评价和网络荟萃分析
主要国际数据库,包括 Medline(通过 PubMed)、Web of Science、Scopus、Cochrane Library 和 Embase,使用预先设计的搜索策略进行搜索。纳入了比较饮食治疗干预措施的随机对照试验(RCT)。网络荟萃分析中使用均数差和 95%置信区间来总结效应大小。采用经典方法进行数据分析。
总共从 9335 篇检索文献中筛选出 36 项 RCT 符合本综述的纳入标准。纳入的 RCT 形成了九个独立的网络。基于这些结果,低热量饮食+单糖选择茶树(MonCam,P=0.99)、能量限制、行为修正+运动(LED)(P=0.99)、总热量的 20%甜味剂(HFCS20)+运动(Ex)(P=0.67)、儿茶素丰富的绿茶(650)+菊粉(P=0.68)、极低热量饮食(VLCD)(P=1.00)、正常蛋白饮食+抗阻运动(NPD+RT)(P=0.80)、低热量饮食+运动(Hyc+Ex)(P=0.85)、高大豆蛋白低脂饮食(SD)(P=0.75)、热量限制+行为体重管理(Hyc+BWL)(P=0.99)分别是网络一至九的减重治疗中更好的治疗方法。
基于网络荟萃分析的结果,似乎低热量饮食+MonCam、LED、HFCS20+Ex、儿茶素丰富的绿茶+菊粉、VLCD、NPD+RT、Hyc+Ex、SD、Hyc+BWL 是超重和肥胖患者体重减轻的更好治疗方法。