Centre for Sport Research, School of Exercise and Nutrition Sciences, Deakin University, 75 Pigdons rd, Waurn Ponds, VIC, 3216, Australia.
Movement Science, Australian Institute of Sport, Belconnen, ACT, Australia.
Sports Med. 2020 Jan;50(1):133-150. doi: 10.1007/s40279-019-01184-9.
Concurrent strength and endurance (CSE) training improves distance running performance more than endurance training alone, but the mechanisms underpinning this phenomenon are unclear. It has been hypothesised that biomechanical or neuromuscular adaptations are responsible for improvements in running performance; however, evidence on this topic has not been synthesised in a review.
To evaluate the effect of CSE training on biomechanical and neuromuscular variables in distance runners.
Seven electronic databases were searched from inception to November 2018 using key terms related to running and strength training. Studies were included if the following criteria were met: (1) population: 'distance' or 'endurance' runners of any training status; (2) intervention: CSE training; (3) comparator: running-only control group; (4) outcomes: at least one biomechanical or neuromuscular variable; and, (5) study design: randomised and non-randomised comparative training studies. Biomechanical and neuromuscular variables of interest included: (1) kinematic, kinetic or electromyography outcome measures captured during running; (2) lower body muscle force, strength or power outcome measures; and (3) lower body muscle-tendon stiffness outcome measures. Methodological quality and risk of bias for each study were assessed using the PEDro scale. The level of evidence for each variable was categorised according to the quantity and PEDro rating of the included studies. Between-group standardised mean differences (SMD) with 95% confidence intervals (95% CI) were calculated for studies and meta-analyses were performed to identify the pooled effect of CSE training on biomechanical and neuromuscular variables.
The search resulted in 1578 potentially relevant articles, of which 25 met the inclusion criteria and were included. There was strong evidence that CSE training significantly increased knee flexion (SMD 0.89 [95% CI 0.48, 1.30], p < 0.001), ankle plantarflexion (SMD 0.74 [95% CI 0.21-1.26], p = 0.006) and squat (SMD 0.63 [95% CI 0.13, 1.12], p = 0.010) strength, but not jump height, more than endurance training alone. Moderate evidence also showed that CSE training significantly increased knee extension strength (SMD 0.69 [95% CI 0.29, 1.09], p < 0.001) more than endurance training alone. There was very limited evidence reporting changes in stride parameters and no studies examined changes in biomechanical and neuromuscular variables during running.
Concurrent strength and endurance training improves the force-generating capacity of the ankle plantarflexors, quadriceps, hamstrings and gluteal muscles. These muscles support and propel the centre of mass and accelerate the leg during running, but there is no evidence to suggest these adaptations transfer from strength exercises to running. There is a need for research that investigates changes in biomechanical and neuromuscular variables during running to elucidate the effect of CSE training on run performance in distance runners.
与单纯耐力训练相比,同时进行力量和耐力训练(CSE)能更有效地提高长跑成绩,但这一现象背后的机制尚不清楚。人们假设,生物力学或神经肌肉适应性是提高跑步表现的原因;然而,关于这一主题的证据尚未在综述中得到综合。
评估 CSE 训练对长跑运动员生物力学和神经肌肉变量的影响。
从建库到 2018 年 11 月,通过与跑步和力量训练相关的关键词,在 7 个电子数据库中进行检索。如果符合以下标准,则纳入研究:(1)人群:任何训练水平的“长跑”或“耐力”运动员;(2)干预措施:CSE 训练;(3)对照组:仅跑步的对照组;(4)结局:至少有一个生物力学或神经肌肉变量;以及,(5)研究设计:随机和非随机对照训练研究。感兴趣的生物力学和神经肌肉变量包括:(1)跑步时采集的运动学、动力学或肌电图测量结果;(2)下肢肌肉力量、强度或功率测量结果;和(3)下肢肌肉-肌腱硬度测量结果。使用 PEDro 量表评估每项研究的方法学质量和偏倚风险。根据纳入研究的数量和 PEDro 评分,对每个变量的证据水平进行分类。计算了研究的组间标准化均数差值(SMD)及其 95%置信区间(95%CI),并进行了荟萃分析以确定 CSE 训练对生物力学和神经肌肉变量的综合影响。
检索结果产生了 1578 篇可能相关的文章,其中 25 篇符合纳入标准并被纳入。有强有力的证据表明,与单纯耐力训练相比,CSE 训练显著增加了膝关节屈曲(SMD 0.89 [95%CI 0.48, 1.30],p<0.001)、踝关节跖屈(SMD 0.74 [95%CI 0.21-1.26],p=0.006)和深蹲(SMD 0.63 [95%CI 0.13, 1.12],p=0.010)的力量,但不能增加跳跃高度。中等证据还表明,与单纯耐力训练相比,CSE 训练显著增加了膝关节伸展力量(SMD 0.69 [95%CI 0.29, 1.09],p<0.001)。仅有非常有限的证据报告了步幅参数的变化,没有研究检查过跑步过程中生物力学和神经肌肉变量的变化。
同时进行力量和耐力训练可提高踝关节跖屈肌、四头肌、腘绳肌和臀肌的力量生成能力。这些肌肉支撑和推动身体重心,并在跑步时加速腿部,但没有证据表明这些适应性会从力量练习转移到跑步中。需要研究跑步过程中生物力学和神经肌肉变量的变化,以阐明 CSE 训练对长跑运动员跑步表现的影响。