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使用地震心动描记术估算亚精英足球运动员峰值摄氧量的非运动方法的准确性。

Accuracy of a non-exercise method using seismocardiography for the estimation of V̇Opeak in sub-elite football players.

机构信息

Xlab, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Department of Geriatrics, Bispebjerg University Hospital, Copenhagen, Denmark.

出版信息

Eur J Sport Sci. 2024 Jul;24(7):889-898. doi: 10.1002/ejsc.12147. Epub 2024 May 30.

Abstract

A non-exercise method equation using seismocardiography for estimating V̇Opeak (SCG V̇Opeak) has previously been validated in healthy subjects. However, the performance of the SCG V̇Opeak within a trained population is unknown, and the ability of the model to detect changes over time is not well elucidated. Forty-seven sub-elite football players were tested at the start of pre-season (SPS) and 36 players completed a test after eight weeks at the end of the pre-season (EPS). Testing included an SCG V̇Opeak estimation at rest and a graded cardiopulmonary exercise test (CPET) on a treadmill for determination of V̇Opeak. Agreement between SCG V̇Opeak and CPET V̇Opeak showed a large underestimation at SPS (bias ± 95% CI: -9.9 ± 1.8, 95% Limits of Agreement: 2.2 to -22.0 mL·min kg). At EPS no interaction (p = 0.3590) but a main effect of time (p < 0.0001) and methods (p < 0.0001) was observed between SCG and CPET V̇Opeak. No correlation in V̇Opeak changes was observed between SCG and CPET (r = -20.0, p = 0.2484) but a fair agreement in classifying the correct directional change in V̇Opeak with the SCG method was found (Cohen's κ coefficient = 0.28 ± 0.25). Overall, the SCG V̇Opeak method lacks accuracy and despite being able to estimate group changes, it was incapable of detecting individual changes in V̇Opeak following a pre-season period in sub-elite football players. The SCG algorithm needs to be further adjusted and the accuracy and precision improved for the method to be applicable for use within a trained population.

摘要

先前已在健康受试者中验证了一种使用心冲击图(seismocardiography,SCG)估算峰值摄氧量(V̇Opeak)的非运动方法方程(SCG V̇Opeak)。然而,在训练有素的人群中,SCG V̇Opeak 的表现尚不清楚,且该模型检测随时间变化的能力也尚未得到充分阐明。47 名次精英足球运动员在赛季前(pre-season,SPS)开始时接受测试,36 名运动员在赛季结束时(end of the pre-season,EPS)完成了一项测试。测试包括在休息时进行 SCG V̇Opeak 估算,以及在跑步机上进行分级心肺运动测试(cardiopulmonary exercise test,CPET)以确定 V̇Opeak。SCG V̇Opeak 和 CPET V̇Opeak 之间的一致性显示,在 SPS 时存在较大的低估(偏差±95%可信区间:-9.9±1.8,95%界限:2.2 至-22.0mL·min·kg)。在 EPS 时,观察到 SCG 和 CPET V̇Opeak 之间没有交互作用(p=0.3590),但存在时间(p<0.0001)和方法(p<0.0001)的主要效应。在 SCG 和 CPET 之间未观察到 V̇Opeak 变化的相关性(r=-20.0,p=0.2484),但发现 SCG 方法在分类 V̇Opeak 正确的方向性变化方面具有良好的一致性(Cohen's κ系数=0.28±0.25)。总的来说,SCG V̇Opeak 方法缺乏准确性,尽管能够估计群体变化,但无法检测到次精英足球运动员赛季前期间 V̇Opeak 的个体变化。SCG 算法需要进一步调整,以提高方法的准确性和精密度,使其适用于训练有素的人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4801/11235662/acd871b4f222/EJSC-24-889-g003.jpg

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