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确定用于评估运动性疲劳的视觉模拟量表的最小重要差异。

Establishing the minimal important difference of the visual analog scale for assessing exercise-induced fatigue.

作者信息

Gan Jianyu, Dong Gengxin, Xu Yilin, Chen Yan, Zhang Yunqing, Gao Qi, Bao Dapeng

机构信息

Sports Coaching College, Beijing Sport University, Beijing, China.

School of Sport Medicine and Physical Therapy, Beijing Sport University, Beijing, China.

出版信息

BMC Sports Sci Med Rehabil. 2025 Apr 4;17(1):69. doi: 10.1186/s13102-025-01122-5.

Abstract

BACKGROUND

Exercise-induced fatigue is a physiological state characterized by performance decline. The Visual Analog Scale (VAS) is one of the most commonly used subjective methods for evaluating exercise-induced fatigue. However, there is a limited interpretation of how much a change in this method indicates a fatigue status that matters to the exercise performance due to the lack of a well-established minimal important difference (MID).

METHODS

This study is a secondary analysis of data from three trials. We analyzed individual participant data before and after exercise-induced fatigue. Anchor-based methods were used to determine the MID of the VAS for fatigue, using Countermovement Jump (CMJ) height as an anchor. Specifically, the MID was calculated using mean change, receiver operating characteristic (ROC) curve analysis, and linear regression methods.

RESULTS

Data from 71 participants (80.28% male, 22.85 ± 2.51 years), corresponding to 230 person-time measurements, were included in this analysis. The CMJ height fulfilled the requirements to be used as an anchor. MIDs for mean change, ROC curve, and linear regression analysis were 48.51, 44.13, and 43.08, respectively. The Youden's Index indicated that the MID calculated by the mean change method was the most relevant and reliable in distinguishing between fatigued and non-fatigued states.

CONCLUSIONS

This study establishes a MID (48.51) for interpreting changes in VAS scores. Future research utilizing VAS to assess exercise-induced fatigue should not only consider statistical differences but also examine whether the changes meet the MID threshold to interpret the actual impact of interventions.

TRIAL REGISTRATION

Chinese Clinical Trial Registry (ChiCTR), Registration Number: ChiCTR2500095599 (Retrospectively registered; registration date: 09/01/2025).

摘要

背景

运动性疲劳是一种以运动表现下降为特征的生理状态。视觉模拟评分法(VAS)是评估运动性疲劳最常用的主观方法之一。然而,由于缺乏公认的最小重要差异(MID),对于该方法的变化在多大程度上表明对运动表现有重要影响的疲劳状态的解读有限。

方法

本研究是对三项试验数据的二次分析。我们分析了运动性疲劳前后的个体参与者数据。采用基于锚定的方法,以反向纵跳(CMJ)高度为锚定,确定VAS疲劳评分的MID。具体而言,使用均值变化、受试者工作特征(ROC)曲线分析和线性回归方法计算MID。

结果

本分析纳入了71名参与者(80.28%为男性,年龄22.85±2.51岁)的数据,对应230人次测量。CMJ高度满足作为锚定的要求。均值变化、ROC曲线和线性回归分析的MID分别为48.51、44.13和43.08。约登指数表明,均值变化法计算的MID在区分疲劳和非疲劳状态方面最相关且可靠。

结论

本研究建立了用于解释VAS评分变化的MID(48.51)。未来利用VAS评估运动性疲劳的研究不仅应考虑统计学差异,还应检查变化是否符合MID阈值,以解释干预措施的实际影响。

试验注册

中国临床试验注册中心(ChiCTR),注册号:ChiCTR2500095599(回顾性注册;注册日期:2025年1月9日)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33be/11969829/5dd0785ef751/13102_2025_1122_Fig1_HTML.jpg

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