首页> 美国卫生研究院文献>other >How to Construct Conduct and Analyze an Exercise Training Study?
【2h】

How to Construct Conduct and Analyze an Exercise Training Study?

机译:如何构建进行和分析运动训练研究?

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

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.
机译:在研究运动科学中的剂量反应和因果关系时,可以将随机对照试验(RCT)视为黄金标准。关于运动训练程序和某些训练方案的功效分析的建议需要从可靠的RCT中获得有效数据。此外,荟萃分析依赖RCT,RCT和荟萃分析均被认为是最高水平的科学证据。除一般研究设计外,还应考虑各种方法论方面和明显的陷阱。因此,应该认真地进行运动训练研究,着眼于整个设计“包装”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。当前的范围审查涵盖了计划,进行和分析基于练习的RCT的所有主要方面。我们旨在关注与研究设计,统计能力,培训计划和文档以及传统和最新统计方法有关的方面。我们打算提供一份全面的动手论文,以概念化未来的运动训练研究,并希望激发和鼓励研究人员在运动训练领域进行合理有效的RCT。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号