A New Tool for Rapid Assessment of Acute Exercise-Induced Fatigue

There are limited sensitive evaluation methods to distinguish people's symptoms of peripheral fatigue and central fatigue simultaneously. The purpose of this study is to identify and evaluate them after acute exercise with a simple and practical scale. The initial scale was built through a lite...

Full description

Saved in:
Bibliographic Details
Published in:Frontiers in human neuroscience Vol. 16; p. 856432
Main Authors: Lu, Yao, Yuan, Ziyang, Chen, Jiaping, Wang, Zeyi, Liu, Zhandong, Wu, Yanjue, Zhan, Donglin, Zhao, Qingbao, Pei, Mofei, Xie, Minhao
Format: Journal Article
Language:English
Published: Switzerland Frontiers Research Foundation 16-03-2022
Frontiers Media S.A
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:There are limited sensitive evaluation methods to distinguish people's symptoms of peripheral fatigue and central fatigue simultaneously. The purpose of this study is to identify and evaluate them after acute exercise with a simple and practical scale. The initial scale was built through a literature review, experts and athlete population survey, and a small sample pre-survey. Randomly selected 1,506 students were evaluated with the initial scale after exercise. Subjective fatigue self-assessments (SFSA) were completed at the same time. The Acute Exercise-Induced Fatigue Scale (AEIFS) was determined after performing a factor analysis. In the exploratory factor analysis, the cumulative variance contribution rate was 65.464%. The factor loadings of the total 8 questions were 0.661-0.816. In the confirmatory factor analysis, χ /df = 2.529, GFI = 0.985, AGFI = 0.967, NFI = 0.982, IFI = 0.989, CFI = 0.989, and RMSEA = 0.048. The Cronbach's alpha coefficient for the scale was 0.872, and it was 0.833 for peripheral fatigue and 0.818 for central fatigue. The intra-class correlation coefficient for the scale was 0.536, and the intra-class correlation coefficients for peripheral fatigue and central fatigue were 0.421 and 0.548, respectively. The correlation coefficient between the total score of the AEIFS and the SFSA score was 0.592 ( < 0.01). Our results demonstrate that the AEIFS can distinguish peripheral fatigue and central fatigue and can also reflect their correlation. This scale can be a useful evaluation tool not only for measuring fatigue after acute exercise but also for guiding reasonable exercise, choosing objective testing indicators, and preventing sports injuries resulting from acute exercise-induced fatigue.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Edited by: Zachory Wei, Emory University, United States
Reviewed by: Shuanglin Wang, Tianjin Medical University General Hospital, China; Jamel Hajji, Tunis University, Tunisia; Pedro Tadeu, CI&DEI-ESECD-IPG, Portugal
These authors have contributed equally to this work
This article was submitted to Brain Health and Clinical Neuroscience, a section of the journal Frontiers in Human Neuroscience
ISSN:1662-5161
1662-5161
DOI:10.3389/fnhum.2022.856432