Literature DB >> 33206252

Impact of resistance training status on trunk muscle activation in a fatiguing set of heavy back squats.

David R Clark1, Michael I Lambert2, Chris Grigson3, Angus M Hunter3.   

Abstract

PURPOSE: In this study we measured neural activation (EMG) in four trunk stabilizer muscles and vastus lateralis (VL) in trained and novice participants during a set of squat repetitions to volitional fatigue at 85% 1RM.
METHODS: Forty males were recruited into two groups, novice (NG: n = 21) and experienced (EG: n = 19), according to relative squat 1RM. Participants were tested twice to: (1) determine squat 1RM, and (2) complete a single set of repetitions to volitional fatigue at 85% 1RM. Relative squat 1RM; NG < 140% body mass, EG > 160% body mass. Neuromuscular activation was measured by EMG for the following: rectus abdominus (RA), external oblique (EO), lumbar sacral erector spinae (LSES), upper lumbar erector spinae (ULES) and VL in eccentric and concentric phase. Completed repetitions, RPE and EMG in repetition 1 and at 20, 40, 60, 80 and 100% of completed repetitions were analysed.
RESULTS: No group differences were found between number repetitions completed and RPE in repetitions to volitional fatigue at 85% 1RM. Neuromuscular activation increased significantly in all muscle groups in eccentric and concentric phase apart from RA in the eccentric phase. Trunk neuromuscular activation was higher in NG compared to EG and this was significant in EO, LSES and ULES in eccentric phase and LSES in the concentric phase. VL activation increased in both phases with no group differences.
CONCLUSION: Trunk neuromuscular activation increases in a fatiguing set of heavy squats regardless of training status. Increased back squat strength through training results in lower neuromuscular activation despite greater absolute external squat loads.

Entities:  

Keywords:  Back squat; Electromyography; Neuromuscular; Strength training; Trunk stabilizers

Year:  2020        PMID: 33206252     DOI: 10.1007/s00421-020-04540-0

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  10 in total

Review 1.  Determining the optimal load for jump squats: a review of methods and calculations.

Authors:  Eric L Dugan; Tim L A Doyle; Brendan Humphries; Christopher J Hasson; Robert U Newton
Journal:  J Strength Cond Res       Date:  2004-08       Impact factor: 3.775

2.  Alternative methods of normalising EMG during cycling.

Authors:  Yumna Albertus-Kajee; Ross Tucker; Wayne Derman; Michael Lambert
Journal:  J Electromyogr Kinesiol       Date:  2010-08-08       Impact factor: 2.368

3.  The effect of autoregulatory progressive resistance exercise vs. linear periodization on strength improvement in college athletes.

Authors:  J Bryan Mann; John P Thyfault; Pat A Ivey; Stephen P Sayers
Journal:  J Strength Cond Res       Date:  2010-07       Impact factor: 3.775

4.  Relationship between the number of repetitions and selected percentages of one repetition maximum in free weight exercises in trained and untrained men.

Authors:  Tomoko Shimano; William J Kraemer; Barry A Spiering; Jeff S Volek; Disa L Hatfield; Ricardo Silvestre; Jakob L Vingren; Maren S Fragala; Carl M Maresh; Steven J Fleck; Robert U Newton; Luuk P B Spreuwenberg; Keijo Häkkinen
Journal:  J Strength Cond Res       Date:  2006-11       Impact factor: 3.775

5.  Trunk muscle activation during dynamic weight-training exercises and isometric instability activities.

Authors:  Nicolle Hamlyn; David G Behm; Warren B Young
Journal:  J Strength Cond Res       Date:  2007-11       Impact factor: 3.775

6.  Neuromuscular response differences to power vs strength back squat exercise in elite athletes.

Authors:  R Brandon; G Howatson; F Strachan; A M Hunter
Journal:  Scand J Med Sci Sports       Date:  2014-07-04       Impact factor: 4.221

7.  Evaluation of electromyography normalisation methods for the back squat.

Authors:  Thomas G Balshaw; Angus M Hunter
Journal:  J Electromyogr Kinesiol       Date:  2011-12-11       Impact factor: 2.368

8.  The back squat: A proposed assessment of functional deficits and technical factors that limit performance.

Authors:  Gregory D Myer; Adam M Kushner; Jensen L Brent; Brad J Schoenfeld; Jason Hugentobler; Rhodri S Lloyd; Al Vermeil; Donald A Chu; Jason Harbin; Stuart M McGill
Journal:  Strength Cond J       Date:  2014-12-01       Impact factor: 2.143

9.  Ratings of perceived exertion in active muscle during high-intensity and low-intensity resistance exercise.

Authors:  Randall F Gearhart; Fredric L Goss; Kristen M Lagally; John M Jakicic; Jere Gallagher; Kara I Gallagher; Robert J Robertson
Journal:  J Strength Cond Res       Date:  2002-02       Impact factor: 3.775

10.  Physiologic responses to heavy-resistance exercise with very short rest periods.

Authors:  W J Kraemer; B J Noble; M J Clark; B W Culver
Journal:  Int J Sports Med       Date:  1987-08       Impact factor: 3.118

  10 in total

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