Document Detail


Validity of electromyographic fatigue threshold as a noninvasive method for tracking changes in ventilatory threshold in college-aged men.
MedLine Citation:
PMID:  19704384     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The submaximal electromyographic fatigue threshold test (EMG(FT)) has been shown to be highly correlated to ventilatory threshold (VT) as determined from maximal graded exercise tests (GXTs). Recently, a prediction equation was developed using the EMG(FT) value to predict VT. The aim of this study, therefore, was to determine if this new equation could accurately track changes in VT after high-intensity interval training (HIIT). Eighteen recreationally trained men (mean +/- SD; age 22.4 +/- 3.2 years) performed a GXT to determine maximal oxygen consumption rate (V(O2)peak) and VT using breath-by-breath spirometry. Participants also completed a discontinuous incremental cycle ergometer test to determine their EMGFT value. A total of four 2-minute work bouts were completed to obtain 15-second averages of the electromyographic amplitude. The resulting slopes from each successive work bout were used to calculate EMG(FT). The EMG(FT) value from each participant was used to estimate VT from the recently developed equation. All participants trained 3 days a week for 6 weeks. Training consisted of 5 sets of 2-minute work bouts with 1 minute of rest in between. Repeated-measures analysis of variance indicated no significant difference between actual and predicted VT values after 3 weeks of training. However, there was a significant difference between the actual and predicted VT values after 6 weeks of training. These findings suggest that the EMG(FT) may be useful when tracking changes in VT after 3 weeks of HIIT in recreationally trained individuals. However, the use of EMG(FT) to predict VT does not seem to be valid for tracking changes after 6 weeks of HIIT. At this time, it is not recommended that EMG(FT) be used to predict and track changes in VT.
Authors:
Kristina L Kendall; Abbie E Smith; Jennifer L Graef; Ashley A Walter; Jordan R Moon; Christopher M Lockwood; Travis W Beck; Joel T Cramer; Jeffrey R Stout
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Publication Detail:
Type:  Journal Article; Validation Studies    
Journal Detail:
Title:  Journal of strength and conditioning research / National Strength & Conditioning Association     Volume:  24     ISSN:  1533-4287     ISO Abbreviation:  J Strength Cond Res     Publication Date:  2010 Jan 
Date Detail:
Created Date:  2009-12-31     Completed Date:  2010-03-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9415084     Medline TA:  J Strength Cond Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  109-13     Citation Subset:  IM    
Affiliation:
Metabolic and Body Composition Lab, Department of Health and Exercise Science, Huston Huffman Center, University of Oklahoma, Norman, Oklahoma, USA.
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MeSH Terms
Descriptor/Qualifier:
Anaerobic Threshold / physiology
Electromyography*
Ergometry
Exercise / physiology
Heart Rate / physiology
Humans
Male
Muscle Fatigue / physiology*
Oxygen Consumption / physiology
Physical Endurance / physiology
Pulmonary Ventilation / physiology*
Resistance Training
Respiratory Muscles / physiology*
Young Adult

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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