School of Human Kinetics and Recreation, Memorial University of Newfoundland, St. John's, NL, Canada.
University of Tehran, Tehran, Iran.
Sports Med. 2021 Sep;51(9):1893-1907. doi: 10.1007/s40279-021-01456-3. Epub 2021 Apr 5.
The fatigue of a muscle or muscle group can produce global responses to a variety of systems (i.e., cardiovascular, endocrine, and others). There are also reported strength and endurance impairments of non-exercised muscles following the fatigue of another muscle; however, the literature is inconsistent.
To examine whether non-local muscle fatigue (NLMF) occurs following the performance of a fatiguing bout of exercise of a different muscle(s).
Systematic review and meta-analysis.
A systematic literature search using a Boolean search strategy was conducted with PubMed, SPORTDiscus, Web of Science, and Google Scholar in April 2020, and was supplemented with additional 'snowballing' searches up to September 2020. To be included in our analysis, studies had to include at least one intentional performance measure (i.e., strength, endurance, or power), which if reduced could be considered evidence of muscle fatigue, and also had to include the implementation of a fatiguing protocol to a location (i.e., limb or limbs) that differed to those for which performance was measured. We excluded studies that measured only mechanistic variables such as electromyographic activity, or spinal/supraspinal excitability. After search and screening, 52 studies were eligible for inclusion including 57 groups of participants (median sample = 11) and a total of 303 participants.
The main multilevel meta-analysis model including all effects sizes (278 across 50 clusters [median = 4, range = 1 to 18 effects per cluster) revealed a trivial point estimate with high precision for the interval estimate [- 0.02 (95% CIs = - 0.14 to 0.09)], yet with substantial heterogeneity (Q = 642.3, p < 0.01), I = 67.4%). Subgroup and meta-regression analyses showed that NLMF effects were not moderated by study design (between vs. within-participant), homologous vs. heterologous effects, upper or lower body effects, participant training status, sex, age, the time of post-fatigue protocol measurement, or the severity of the fatigue protocol. However, there did appear to be an effect of type of outcome measure where both strength [0.11 (95% CIs = 0.01-0.21)] and power outcomes had trivial effects [- 0.01 (95% CIs = - 0.24 to 0.22)], whereas endurance outcomes showed moderate albeit imprecise effects [- 0.54 (95% CIs = - 0.95 to - 0.14)].
Overall, the findings do not support the existence of a general NLMF effect; however, when examining specific types of performance outcomes, there may be an effect specifically upon endurance-based outcomes (i.e., time to task failure). However, there are relatively fewer studies that have examined endurance effects or mechanisms explaining this possible effect, in addition to fewer studies including women or younger and older participants, and considering causal effects of prior training history through the use of longitudinal intervention study designs. Thus, it seems pertinent that future research on NLMF effects should be redirected towards these still relatively unexplored areas.
肌肉或肌肉群的疲劳会对各种系统(即心血管、内分泌等)产生全身性反应。也有报道称,在另一块肌肉疲劳后,非运动肌肉的力量和耐力也会受损;然而,文献中的结果并不一致。
研究在进行不同肌肉的疲劳运动后,是否会出现非局部肌肉疲劳(NLMF)。
系统评价和荟萃分析。
2020 年 4 月,我们使用布尔搜索策略在 PubMed、SPORTDiscus、Web of Science 和 Google Scholar 中进行了系统的文献搜索,并通过额外的“滚雪球”搜索补充到 2020 年 9 月。为了纳入我们的分析,研究必须至少包含一项意向性表现测量(即力量、耐力或功率),如果这些测量值降低,可以被认为是肌肉疲劳的证据,并且还必须包含对与表现测量不同的部位(即肢体或肢体)实施疲劳方案。我们排除了仅测量肌电图活动或脊髓/脊髓上兴奋性等机械变量的研究。经过搜索和筛选,有 52 项研究符合纳入标准,包括 57 组参与者(中位数样本量为 11 人)和总共 303 名参与者。
包括所有效应量(50 个聚类中的 278 个[中位数=4,范围=1 到每个聚类 18 个效应])的主要多水平荟萃分析模型显示,区间估计的点估计值很小,但精度很高[-0.02(95%置信区间=-0.14 至 0.09)],但存在很大的异质性(Q=642.3,p<0.01),I=67.4%)。亚组和荟萃回归分析表明,NLMF 效应不受研究设计(组内与组间)、同源与异源效应、上半身与下半身效应、参与者训练状态、性别、年龄、疲劳后方案测量时间或疲劳方案的严重程度的调节。然而,似乎存在一种效应量测量类型的影响,即力量[0.11(95%置信区间=0.01-0.21)]和功率结果有微小的效应[-0.01(95%置信区间=-0.24 至 0.22)],而耐力结果显示出中等但不精确的效应[-0.54(95%置信区间=-0.95 至 -0.14)]。
总体而言,这些发现并不支持存在一般的 NLMF 效应;然而,当检查特定类型的表现结果时,可能会对基于耐力的结果(即任务失败时间)产生影响。然而,关于耐力效应或解释这种可能效应的机制,研究相对较少,包括女性或年轻和老年参与者的研究也较少,并且通过使用纵向干预研究设计考虑到先前训练历史的因果效应。因此,似乎有必要将未来关于 NLMF 效应的研究重新集中在这些仍相对未知的领域。