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因果中介分析可以解决训练引起的肌肉力量增加是否由肌肉肥大介导的问题。

Causal Mediation Analysis Could Resolve Whether Training-Induced Increases in Muscle Strength are Mediated by Muscle Hypertrophy.

机构信息

Neuroscience Research Australia, Barker Street, Randwick, NSW, 2031, Australia.

School of Medical Sciences, University of New South Wales, Sydney, Australia.

出版信息

Sports Med. 2019 Sep;49(9):1309-1315. doi: 10.1007/s40279-019-01131-8.

Abstract

Resistance training increases muscle size (i.e., causes hypertrophy) and muscle strength, particularly in untrained individuals. Hypertrophy is widely believed to be one of the mechanisms (i.e., a mediator) by which resistance training increases strength. However, some researchers have questioned whether training-induced hypertrophy causes increases in strength. One approach to resolving this issue has been to use correlations between training-induced changes in muscle size and strength to infer the effect of hypertrophy on strength. This is problematic because correlations between changes in muscle size and strength may be confounded (i.e., correlation is not causation). Another approach has involved randomizing participants to different volumes of exercise to create different levels of hypertrophy and then comparing the strength increases associated with different levels of hypertrophy. This approach is also problematic because the unit of randomization is exercise volume rather than hypertrophy, and the potential for confounding remains. Thus, a new approach is needed to determine the extent to which hypertrophy increases muscle strength. Here, we introduce resistance training researchers to causal mediation analysis and recommend that it be used to resolve the current debate. Causal mediation analysis potentially provides an unconfounded estimate of the effect of a mediating variable (hypertrophy) on an outcome (strength). This analysis is supplemented by causal maps that help conceptualize research questions and identify potential confounders. In addition to resolving the debate on hypertrophy, causal mediation analysis can be used to answer a host of other questions about mechanisms in the health sciences.

摘要

抗阻训练可增加肌肉体积(即引起肥大)和肌肉力量,尤其是在未经训练的个体中。肥大被广泛认为是抗阻训练增加力量的机制之一(即介导因素)。然而,一些研究人员质疑训练引起的肥大是否会导致力量增加。解决此问题的一种方法是使用肌肉大小和力量训练引起的变化之间的相关性来推断肥大对力量的影响。这是有问题的,因为肌肉大小和力量变化之间的相关性可能会混淆(即相关性不是因果关系)。另一种方法涉及将参与者随机分配到不同的运动量中,以产生不同程度的肥大,然后比较与不同程度肥大相关的力量增加。这种方法也存在问题,因为随机化的单位是运动量而不是肥大,并且仍然存在混淆的可能性。因此,需要一种新的方法来确定肥大增加肌肉力量的程度。在这里,我们向抗阻训练研究人员介绍因果中介分析,并建议将其用于解决当前的争论。因果中介分析有可能提供中介变量(肥大)对结果(力量)的无混杂估计。这种分析由因果图补充,有助于概念化研究问题并确定潜在的混杂因素。除了解决肥大的争论外,因果中介分析还可用于回答健康科学中关于机制的许多其他问题。

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