How to Construct, Conduct and Analyze an Exercise Training Study?

How to Construct, Conduct and Analyze an Exercise Training Study?
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DOI:
10.3389/fphys.2018.01007
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发表时间:
2018
影响因子:
4
通讯作者:
Donath L
Donath L
中科院分区:
医学2区
文献类型:
--
作者:
Hecksteden A;Faude O;Meyer T;Donath L

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随机对照试验(RCT)可以被视为运动科学中研究剂量反应和因果关系的黄金标准。对运动训练程序的建议和某些训练方案的功效分析需要来自稳健的随机对照试验的有效数据。此外,荟萃分析依赖于随机对照试验,随机对照试验和荟萃分析都被认为是最高水平的科学证据。除了一般研究设计之外,还必须考虑各种方法学方面和显着的陷阱。因此,运动训练研究应该仔细构建,重点关注整个设计“包”的一致性,从研究设计和方法论的明确假设或研究问题到数据分析和解释。目前的范围界定审查涵盖了基于随机对照试验的规划、实施和分析的所有主要方面。我们的目标是关注研究设计、统计能力、培训规划和文档以及传统和最新统计方法等相关方面。我们打算提供一份全面的实践论文来概念化未来的运动训练研究,并希望激励和鼓励研究人员在运动训练领域进行合理有效的随机对照试验。
Randomized controlled trials (RCTs) can be regarded as gold standard in investigating dose-response and causal relationships in exercise science. Recommendations for exercise training routines and efficacy analyses of certain training regimen require valid data derived from robust RCTs. Moreover, meta-analyses rely on RCTs and both RCTs and meta-analyses are considered the highest level of scientific evidence. Beyond general study design a variety of methodological aspects and notable pitfalls has to be considered. Therefore, exercise training studies should be carefully constructed focusing on the consistency of the whole design “package” from an explicit hypothesis or research question over study design and methodology to data analysis and interpretation. The present scoping review covers all main aspects of planning, conducting, and analyzing exercise based RCTs. We aim to focus on relevant aspects regarding study design, statistical power, training planning and documentation as well as traditional and recent statistical approaches. We intend to provide a comprehensive hands-on paper for conceptualizing future exercise training studies and hope to stimulate and encourage researchers to conduct sound and valid RCTs in the field of exercise training.
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