Comparative Efficacy of Exercise Training Modes on Systemic Metabolic Health in Adults with Overweight and Obesity: a Network Meta-Analysis of Randomized Controlled Trials

FRONTIERS IN ENDOCRINOLOGY(2024)

引用 0|浏览19
摘要
ObjectiveThis network meta-analysis (NMA) was conducted to compare and rank the effects of training interventions including aerobic exercise (AE), resistance training (RT), combined aerobic and resistance training (CT), and high-intensity interval training (HIIT) on vital metabolic indicators in adults with overweight and obesity.MethodsPubMed, Cochrane, Embase, and Web of Science were searched from 1990 to February 2023. Articles were included if they described randomized controlled trials (RCTs) examining the effects of exercise training on anthropometry parameters, lipid profiles, glucose metabolism, blood pressure, and cardiorespiratory fitness in adults with overweight and obesity. Weighted mean difference with 95% CI was calculated.ResultsA total of 28 studies with 1,620 patients were included. Results revealed that AE exerts best effects on weight loss (−2.35 [−4.05, −0.64]) and body mass index (−0.9 [−1.38, −0.42]), while HIIT is the most effective in reducing waist circumference (−5.93 [10.71, −1.15]), percentage body fat (−3.93 [−5.73, −2.12]), serum triglycerides (−20.55 [−37.20, −3.91]), and fasting blood glucose (−14.31 [−22.47, −6.16]) and improving VO2 max (7.41 [4.37, 10.45]). However, no significant benefit was observed in terms of total cholesterol and blood pressure.ConclusionsAE is the optimal exercise type for reducing body weight and BMI, while HIIT exerts the most beneficial effects on improving body composition, cardiorespiratory fitness, and metabolic abnormalities in adults with overweight and obesity.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444322, identifier CRD42023444322.
更多
查看译文
关键词
exercise training,obesity,metabolism,network meta-analysis,HIIT
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
0
您的评分 :

暂无评分

数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn