艾灸
医学
荟萃分析
腰围
随机对照试验
体质指数
肥胖
置信区间
物理疗法
内科学
电针
系统回顾
针灸科
科克伦图书馆
心理干预
梅德林
替代医学
精神科
病理
法学
政治学
作者
Hyeji Kim,Hyungsuk Kim,Woo‐Chul Shin,Sungha Kim,Jae‐Heung Cho,Mi‐Yeon Song,Won‐Seok Chung
出处
期刊:Journal of integrative and complementary medicine
[Mary Ann Liebert, Inc.]
日期:2023-12-15
卷期号:30 (6): 576-587
标识
DOI:10.1089/jicm.2022.0826
摘要
Background: Moxibustion has been used in the treatment and prevention of obesity. However, there has been no systematic review or meta-analysis conducted on the use of moxibustion on obesity treatment. This study aimed to evaluate the role of moxibustion in the treatment of obesity. Methods: The Cochrane Central Register of Controlled Trials, EMBASE, and MEDLINE/PubMed databases were searched to identify all randomized controlled trials (RCTs) that evaluated the effect of moxibustion on obesity. The primary outcome was body weight. The secondary outcomes were the body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR). The risk of bias assessment and meta-analysis were conducted using the Cochrane Collaboration tool. Results: Eleven RCTs involving 761 participants were included in this systematic review and meta-analysis. Other interventions that were included in the analyses were manual acupuncture, electroacupuncture, embedding therapy, herbal medicine, and diet control. Moxibustion combined with other interventions resulted in a significant improvement in body weight reduction (mean difference [MD] -3.32, 95% confidence interval [CI: -4.25 to -2.38]; I2 = 17%), BMI (MD -1.51, 95% CI [-1.88 to -1.14]; I2 = 76%), and WC (MD -2.82, 95% CI [-3.50 to -2.13]; I2 = 75%), but did not improve HC (MD -2.05, 95% CI [-4.21 to 0.11]; I2 = 0%) or WHR (MD -0.01, 95% CI [-0.03 to 0.01]; I2 = 57%). Conclusions: Moxibustion can be used with other interventions to improve body weight, BMI, and WC in people with obesity. However, the conclusions of this review should be cautiously applied to clinical practice because most of the included studies had a high or unclear risk of bias.
科研通智能强力驱动
Strongly Powered by AbleSci AI