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What should be the preferred exercise modality for overweight and obese individuals? Protocol for a systematic review and network meta-analysis

机译:超重和肥胖者应首选哪种锻炼方式?系统审查和网络荟萃分析的协议

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Obesity is a global epidemic with profound consequences for individuals and societies. Physical exercise is important to weight reduction and weight loss maintenance. However, results on what the most effective type of exercise are unclear. The aim of this systematic review is to evaluate the effects of various exercise modalities with and without caloric restriction on body composition and metabolic health outcomes in overweight and obese adults. We will perform a comprehensive literature search in PubMed, Embase (via Ovid) and CENTRAL (through the Cochrane Library). Relevant papers will be screened in two stages: first, by title and abstract and then the full text of the remaining papers. Two reviewers will screen all the studies, and any disagreements will be discussed with and resolved by a third reviewer. Data extraction and risk of bias assessment will be performed using a pre-piloted form. A network meta-analysis combining direct and indirect treatment effect estimates will be conducted if adequate data are available. The quality of the evidence will be judged using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. The results of this proposed systematic review and meta-analysis will identify whether any exercise modality should be preferred for overweight and obese adults, as well as assess the quality of the evidence. This knowledge has potential importance for clinicians and patients.
机译:肥胖是一种全球流行病,对个人和社会都会产生深远的影响。体育锻炼对减轻体重和维持体重减轻很重要。但是,关于哪种最有效的运动类型的结果尚不清楚。这项系统评价的目的是评估有热量和无热量限制的各种运动方式对超重和肥胖成年人身体成分和代谢健康结局的影响。我们将在PubMed,Embase(通过Ovid)和CENTRAL(通过Cochrane图书馆)中进行全面的文献搜索。相关论文将分两个阶段进行筛选:首先是按标题和摘要进行筛选,然后是其余论文的全文。两名审稿人将筛选所有研究,任何分歧将与第三名审稿人讨论并解决。数据提取和偏倚风险评估将使用预试表格进行。如果有足够的数据,将进行结合直接和间接治疗效果评估的网络荟萃分析。证据的质量将使用“建议评估,发展和评估等级”(GRADE)方法进行判断。拟议的系统评价和荟萃分析的结果将确定超重和肥胖成年人是否应首选任何锻炼方式,并评估证据的质量。该知识对临床医生和患者具有潜在的重要性。

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