Sport Training Lab, University of Castilla-La Mancha, Toledo, Spain.
Facultad de Ciencias de la Vida y de la Naturaleza, Universidad Nebrija, Madrid, Spain.
Eur J Sport Sci. 2023 Jul;23(7):1259-1268. doi: 10.1080/17461391.2022.2142675. Epub 2022 Nov 9.
The present study aims to determine the utility of integrating balance model (W´) in designing interval training programmes as assessed by improvements in power output, critical power (CP), and W prime (W´) defined as the finite work capacity above CP. Fourteen male cyclists (age = 42 ± 7 yr, body mass = 69.6 ± 6.5 kg, height = 175 ± 5 cm, CP = 302 ± 32 W, relative CP = 4.35 ± 0.66 W·kg) were randomized into two training groups: Short-Medium-Long intervals (SML-INT; = 7) or Long intervals (L-INT, = 7) [training sessions separated by 72 h], along with 3-4 sessions of moderate intensity training per week, for 4 weeks. All sessions were designed to result in the complete depletion of the W´ as gauged by the W´. CP and W´ were assessed using the specified efforts (i.e. 12, 7 and 3 min) and calculated with the 2-parameter CP linear model. Training loads between the groups were compared using different metrics. CP improved in both the SML-INT and L-INT groups by 5 ± 4% and 6 ± 5% ( < 0.001) respectively, without significant changes in W´. Mean maximal power over 3, 7 and 12 min increased significantly in the SML-INT group by 5%, 4% and 9%, ( < 0.05) without significant changes in the L-INT group. There were no differences between groups in training zone distribution or training load using BikeScore and relative intensity, but there was significantly ( < 0.05) higher TRIMPS for the Long-INT group. Therefore, W´ model may prove to be a useful tool for coaches to construct SML-INT training programmes.CP significantly improved with both training models during the present intervention and in power output in some of the time to exhaustion (TTE) trials, despite a difference in training load between the groups as assessed by TRIMPS.We recommend designing endurance training sessions based on the use of the W´BAL-INT model.The structured interval model can be an easy and standardized way for cyclists and coaches to monitor their potential for flat and mid-mountain stages.
本研究旨在确定平衡模型(W´)在设计间歇训练方案中的效用,通过提高功率输出、临界功率(CP)和 W´来评估,W´定义为 CP 以上的有限工作能力。14 名男性自行车运动员(年龄=42±7 岁,体重=69.6±6.5kg,身高=175±5cm,CP=302±32W,相对 CP=4.35±0.66W·kg)被随机分为两组:短-中-长间歇组(SML-INT;=7)或长间歇组(L-INT,=7)[训练间隔为 72 小时],每周进行 3-4 次中等强度训练,持续 4 周。所有的训练都旨在通过 W´来耗尽 W´。CP 和 W´通过指定的努力(即 12、7 和 3 分钟)来评估,并使用 2 参数 CP 线性模型来计算。使用不同的指标比较两组之间的训练负荷。SML-INT 和 L-INT 组的 CP 分别提高了 5±4%和 6±5%(<0.001),而 W´没有显著变化。在 SML-INT 组中,3、7 和 12 分钟的最大平均功率分别显著增加了 5%、4%和 9%(<0.05),而 L-INT 组没有显著变化。在使用 BikeScore 和相对强度的情况下,两组在训练区分布或训练负荷方面没有差异,但 Long-INT 组的 TRIMPS 显著更高(<0.05)。因此,W´模型可能被证明是教练构建 SML-INT 训练方案的有用工具。在本干预过程中,两种训练模式都显著提高了 CP,并且在一些力竭时间(TTE)试验中提高了功率输出,尽管两组的训练负荷不同,如 TRIMPS 所评估的。我们建议根据 W´的使用设计耐力训练课程。结构化间歇模型可以是自行车手和教练监测他们在平地和中海拔阶段潜力的一种简单和标准化的方式。