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iLOAD® 应用程序监测力量和强度型抗阻训练计划后杠铃速度变化的敏感性。

Sensitivity of the iLOAD® Application for Monitoring Changes in Barbell Velocity Following Power- and Strength-Oriented Resistance Training Programs.

出版信息

Int J Sports Physiol Perform. 2021 Jul 1;16(7):1056-1060. doi: 10.1123/ijspp.2020-0218. Epub 2021 Mar 4.

Abstract

OBJECTIVE

To evaluate the sensitivity of the iLOAD® application to detect the changes in mean barbell velocity of complete sets following power- and strength-oriented resistance training (RT) programs.

METHODS

Twenty men were randomly assigned to a power training group (countermovement jump and bench press throw at 40% of the 1-repetition maximum [1RM]) or strength training group (back squat and bench press at 70% to 90% of 1RM). Single sets of 10 repetitions at 25% and 70% of 1RM during the back squat and bench press exercises were assessed before and after the 4-week RT programs simultaneously with the iLOAD® application and a linear velocity transducer.

RESULTS

The power training group showed a greater increment in velocity performance at the 25% of 1RM (effect size range = 0.66-1.53) and the 70% of 1RM (effect size range = 0.11-0.30). The percent change in mean velocity after the RT programs highly correlated between the iLOAD® application and the linear velocity transducer for the back squat (r range = .85-.88) and bench press (r range = .87-.93). However, the iLOAD® application revealed a 2% greater increase in mean velocity after training compared to the linear velocity transducer.

CONCLUSIONS

The iLOAD® application is a cost-effective, portable, and easy-to-use tool which can be used to detect changes in mean barbell velocity after power- and strength-oriented RT programs.

摘要

目的

评估 iLOAD®应用程序检测力量和力量型抗阻训练(RT)方案后整套平均杠铃速度变化的敏感性。

方法

20 名男性被随机分配到力量训练组(40% 1 次重复最大重量的反跳和卧推投掷)或力量训练组(70%至 90% 1RM 的深蹲和卧推)。在 4 周 RT 方案前后,同时使用 iLOAD®应用程序和线性速度传感器评估深蹲和卧推练习中 25%和 70% 1RM 的 10 次重复单组。

结果

力量训练组在 25% 1RM(效应大小范围为 0.66-1.53)和 70% 1RM(效应大小范围为 0.11-0.30)的速度表现上有更大的增量。RT 方案后 iLOAD®应用程序和线性速度传感器之间的平均速度变化百分比高度相关,深蹲(r 范围为.85-.88)和卧推(r 范围为.87-.93)。然而,与线性速度传感器相比,iLOAD®应用程序显示训练后平均速度增加了 2%。

结论

iLOAD®应用程序是一种经济有效、便携且易于使用的工具,可用于检测力量和力量型 RT 方案后平均杠铃速度的变化。

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