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线性编程比基于速度的阻力训练后的每日波动编程产生更大、更早和不间断的神经肌肉和功能适应。

Linear programming produces greater, earlier and uninterrupted neuromuscular and functional adaptations than daily-undulating programming after velocity-based resistance training.

机构信息

Physical Performance & Sports Research Center, Universidad Pablo de Olavide, Seville, Spain; Department of Sport and Informatics, Universidad Pablo de Olavide, Seville, Spain.

Human Performance and Sport Science Laboratory, University of Murcia, Murcia, Spain.

出版信息

Physiol Behav. 2021 May 1;233:113337. doi: 10.1016/j.physbeh.2021.113337. Epub 2021 Jan 23.

DOI:10.1016/j.physbeh.2021.113337
PMID:33493544
Abstract

This study aimed to compare the effect of linear (LP) and daily-undulating (DUP) programming models on neuromuscular and functional performance using the velocity-based resistance training (VBRT) approach. Thirty-two resistance trained men were randomly assigned into 2 groups: LP (n = 16) or DUP (n = 16). Both training groups completed an 8-week VBRT intervention using the full squat exercise, only differing in the relative intensity (% 1RM) distribution during the training program. Changes produced by each periodization model were evaluated using the following variables: estimated 1RM; average mean propulsive velocity (MPV) attained for all absolute loads common to Pre-test and Post-test; average MPV attained against absolute loads lifted faster than 1 m•s; average MPV attained against absolute loads lifted slower than 1 m•s  ; countermovement jump (CMJ) and fatigue test. Moreover, CMJ and 1RM parameters were evaluated weekly to analyze their evolution along the training program. LP and DUP strategies significantly improved all performance variables analyzed (p<0.001), except the fatigue test in the DUP group. Significant "time x group" interactions were observed in all strength variables and fatigue test in favour of the LP group. In addition, pre-post effect size (ES), percentages of change and weekly comparisons showed higher improvements in the LP group (ES=0.54-2.49, ∆=9.5-60.4%) compared to DUP (ES=0.40-1.65, ∆=5.5-27.2%). Based on these findings, the LP appears to stand as a more effective strategy than DUP to achieve greater, earlier and uninterrupted neuromuscular and functional adaptations in VBRT interventions.

摘要

本研究旨在比较线性(LP)和每日波动(DUP)编程模型对神经肌肉和功能表现的影响,使用基于速度的抗阻训练(VBRT)方法。32 名有抗阻训练经验的男性被随机分为 2 组:LP(n=16)或 DUP(n=16)。两组训练者均完成了为期 8 周的 VBRT 干预,使用全深蹲运动,仅在训练计划中的相对强度(%1RM)分布上有所不同。使用以下变量评估每个时期化模型产生的变化:估计的 1RM;在预测试和后测试中所有绝对负荷共有的平均平均推进速度(MPV);针对速度大于 1m•s 的绝对负荷获得的平均 MPV;针对速度小于 1m•s 的绝对负荷获得的平均 MPV;下蹲跳(CMJ)和疲劳测试。此外,每周评估 CMJ 和 1RM 参数,以分析它们在训练计划中的演变。LP 和 DUP 策略显著提高了所有分析的性能变量(p<0.001),除了 DUP 组的疲劳测试。在所有力量变量和疲劳测试中均观察到“时间 x 组”交互作用有利于 LP 组。此外,前后效应量(ES)、变化百分比和每周比较显示,LP 组的改善更高(ES=0.54-2.49,∆=9.5-60.4%),而 DUP 组的改善较低(ES=0.40-1.65,∆=5.5-27.2%)。基于这些发现,LP 似乎比 DUP 更有效,可以在 VBRT 干预中实现更大、更早和不间断的神经肌肉和功能适应。

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