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验证和可靠性的 Jumpo 2 和 MyJump 2 用于估计垂直跳跃变量。

Evidence of validity and reliability of Jumpo 2 and MyJump 2 for estimating vertical jump variables.

机构信息

Strength and Conditioning Laboratory, Faculty of Physical Education, Universidade de Brasília, Brasília, Distrito Federal, Brazil.

Automation and Robotics Laboratory, Faculty of Technology, Universidade de Brasília, Brasília, Distrito Federal, Brazil.

出版信息

PeerJ. 2023 Jan 25;11:e14558. doi: 10.7717/peerj.14558. eCollection 2023.

DOI:10.7717/peerj.14558
PMID:36718456
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9884043/
Abstract

BACKGROUND

We investigated the concurrent validity and test-retest reliability of the Jumpo 2 and MyJump 2 apps for estimating jump height, and the mean values of force, velocity, and power produced during countermovement (CMJ) and squat jumps (SJ).

METHODS

Physically active university aged men ( = 10, 20 ± 3 years, 176 ± 6 cm, 68 ± 9 kg) jumped on a force plate (, criterion) while being recorded by a smartphone slow-motion camera. The videos were analyzed using Jumpo 2 and MyJump 2 using a Samsung Galaxy S7 powered by the Android system. Validity and reliability were determined by regression analysis, typical error of estimates and measurements, and intraclass correlation coefficients.

RESULTS

Both apps provided a reliable estimate of jump height and the mean values of force, velocity, and power. Furthermore, estimates of jump height for CMJ and SJ and the mean force of the CMJ were valid. However, the apps presented impractical or poor validity correlations for velocity and power. Compared with criterion, the apps underestimated the velocity of the CMJ.

CONCLUSIONS

Therefore, Jumpo 2 and MyJump 2 both provide a valid measure of jump height, but the remaining variables provided by these apps must be viewed with caution since the validity of force depends on jump type, while velocity (and as consequence power) could not be well estimated from the apps.

摘要

背景

我们研究了 Jumpo 2 和 MyJump 2 两款应用程序在估算跳跃高度方面的同时效度和重测信度,以及它们在进行下蹲跳(SJ)和反向跳(CMJ)时产生的力、速度和功率的平均值。

方法

身体活跃的大学生(n=10,年龄 20±3 岁,身高 176±6cm,体重 68±9kg)在力量板上跳跃(作为标准),同时使用智能手机慢动作摄像头进行记录。视频使用三星 Galaxy S7 手机和基于 Android 系统的 Jumpo 2 和 MyJump 2 进行分析。通过回归分析、典型估计误差和测量误差以及组内相关系数来确定有效性和可靠性。

结果

两款应用程序都能可靠地估算跳跃高度和力、速度和功率的平均值。此外,CMJ 和 SJ 的跳跃高度估计值以及 CMJ 的平均力是有效的。然而,应用程序在速度和功率方面的有效性相关性并不理想。与标准相比,应用程序低估了 CMJ 的速度。

结论

因此,Jumpo 2 和 MyJump 2 都能提供有效的跳跃高度测量值,但这些应用程序提供的其他变量必须谨慎看待,因为力的有效性取决于跳跃类型,而速度(以及因此功率)无法从应用程序中得到很好的估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3fa/9884043/93e6cf41455a/peerj-11-14558-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3fa/9884043/9bbaa4f7ba03/peerj-11-14558-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3fa/9884043/6494c571dd21/peerj-11-14558-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3fa/9884043/93e6cf41455a/peerj-11-14558-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3fa/9884043/9bbaa4f7ba03/peerj-11-14558-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3fa/9884043/6494c571dd21/peerj-11-14558-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3fa/9884043/93e6cf41455a/peerj-11-14558-g003.jpg

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