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文献中高强度间歇训练(HIIT)的非凡主张:I. 真正的科学革命,还是复制和可信度的潜在危机?

Extraordinary Claims in the Literature on High-Intensity Interval Training (HIIT): I. Bonafide Scientific Revolution or a Looming Crisis of Replication and Credibility?

机构信息

Department of Kinesiology, Michigan State University, 308 W Circle Dr #134, East Lansing, MI, 48824, USA.

School of Health Sciences, Robert Gordon University, Aberdeen, Scotland, UK.

出版信息

Sports Med. 2023 Oct;53(10):1865-1890. doi: 10.1007/s40279-023-01880-7. Epub 2023 Aug 10.

Abstract

The literature on high-intensity interval training (HIIT) contains claims that, if true, could revolutionize the science and practice of exercise. This critical analysis examines two varieties of claims: (i) HIIT is effective in improving various indices of fitness and health, and (ii) HIIT is as effective as more time-consuming moderate-intensity continuous exercise. Using data from two recent systematic reviews as working examples, we show that studies in both categories exhibit considerable weaknesses when judged through the prism of fundamental statistical principles. Predominantly, small-to-medium effects are investigated in severely underpowered studies, thus greatly increasing the risk of both type I and type II errors of statistical inference. Studies in the first category combine the volatility of estimates associated with small samples with numerous dependent variables analyzed without consideration of the inflation of the type I error rate. Studies in the second category inappropriately use the p > 0.05 criterion from small studies to support claims of 'similar' or 'comparable' effects. It is concluded that the situation in the HIIT literature is reminiscent of the research climate that led to the replication crisis in psychology. As in psychology, this could be an opportunity to reform statistical practices in exercise science.

摘要

高强度间歇训练(HIIT)的文献中包含了一些如果属实,可能会彻底改变运动科学和实践的说法。本批判性分析考察了两种说法:(i)HIIT 有效改善各种健康和体能指数,以及(ii)HIIT 与耗时更长的中等强度持续运动一样有效。我们使用最近两项系统综述中的数据作为工作实例,表明在通过基本统计原理的棱镜进行判断时,这两类研究都存在明显的弱点。主要的是,在严重功率不足的研究中调查了小到中等的效果,从而大大增加了统计推断的 I 型和 II 型错误的风险。第一类研究将与小样本相关的估计值的波动性与未经考虑 I 型错误率膨胀而分析的众多因变量结合起来。第二类研究不适当地使用来自小研究的 p > 0.05 标准来支持“相似”或“可比”效果的说法。结论是,HIIT 文献中的情况让人想起导致心理学复制危机的研究氛围。与心理学一样,这可能是改革运动科学中统计实践的机会。

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