Tracking the Fatigue Status after a Resistance Exercise through
                    Different Parameters

Gabriel Motta Pinheiro Brisola; Ward C. Dobbs; Alessandro Moura Zagatto; Michael R. Esco

doi:10.1055/a-1766-5945

International Journal of Sports Medicine, Table of Contents

Int J Sports Med 2022; 43(11): 941-948
DOI: 10.1055/a-1766-5945

Training & Testing

Tracking the Fatigue Status after a Resistance Exercise through Different Parameters

Authors

Gabriel Motta Pinheiro Brisola

¹Post-Graduate Program in Movement Sciences, São Paulo State University – UNESP, Brazil

²Laboratory of Physiology and Sport Performance (LAFIDE), Department of Physical Education, School of Sciences, São Paulo State University - UNESP, Bauru – SP, Brazil
Ward C. Dobbs

³Department of Exercise & Sport Science, University of Wisconsin-La Crosse, La Crosse, WI, United States

⁴Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, United States
Alessandro Moura Zagatto

³Department of Exercise & Sport Science, University of Wisconsin-La Crosse, La Crosse, WI, United States
Michael R. Esco

⁴Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, United States

Abstract

The purpose of the study was to investigate the sensitivity of back squat bar velocity, isometric mid-thigh pull, heart rate variability parameters, perceived recovery scale and step counts for tracking the muscular fatigue time-course (reduction in countermovement jump [CMJ] performance) after strenuous acute lower limb resistance exercise. Sixteen healthy men performed heart rate variability assessment, perceived recovery scale, CMJ, back squat bar velocity, isometric mid-thigh pull, and daily step counts before and 24 h, 48 h and 72 h post a strenuous acute lower limb resistance exercise (8×10 repetitions). The CMJ height decreased at 24 and 48 h after exercise session (p≤0.017), evidencing the muscular fatigue. The perceived recovery scale presented lower values compared to baseline until 72 h after exercise session (p<0.001 for all). The heart rate variability parameters and step counts were not significantly different across time. At 24 h post, only mean force of mid-thigh pull was decreased (p=0.044), while at 48 h post, only peak force of mid-thigh pull was decreased (p=0.020). On the last day (72 h), only bar velocity (mean) presented reduction (p=0.022). Therefore, the perceived recovery scale was the only variable sensible to tracking muscular fatigue, i. e. presenting a similar time-course to CMJ height.

Key words

bar velocity - mid-thigh pull - recovery - squat - strength - time-course

Full Text

References

References
1 Ratamess NA, Alvar BA, Evetoch TK. et al. Progression models in resistance training for healthy adults. Med Sci Sports Exerc 2009; 41: 687-708
2 Garber CE, Blissmer B, Deschenes MR. et al. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: Guidance for prescribing exercise. Med Sci Sports Exerc 2011; 43: 1334-1359
3 Izquierdo M, Ibañez J, Calbet JAL. et al. Cytokine and hormone responses to resistance training. Eur J Appl Physiol 2009; 107: 397-409
4 Jackman JS, Bell PG, Gill S. et al. Assessing the usefulness of acute physiological responses following resistance exercise: sensitivity, magnitude of change, and time course of measures. Appl Physiol Nutr Metab 2019; 44: 309-319
5 Koopman R, Manders RJF, Jonkers RAM. et al. Intramyocellular lipid and glycogen content are reduced following resistance exercise in untrained healthy males. Eur J Appl Physiol 2006; 96: 525-534
6 Allen DG, Lamb GD, Westerblad H. Skeletal muscle fatigue: Cellular mechanisms. Physiol Rev 2008; 88: 287-332
7 Bishop PA, Jones E, Woods AK. Recovery from training: a brief review. J Strength Cond Res 2008; 22: 1015-1024
8 Storey AG, Birch NP, Fan V. et al. Stress responses to short-term intensified and reduced training in competitive weightlifters. Scand J Med Sci Sports 2016; 26: 29-40
9 Claudino JG, Cronin J, Mezêncio B. et al. The countermovement jump to monitor neuromuscular status: A meta-analysis. J Sci Med Sport 2017; 20: 397-402
10 Davies RW, Carson BP, Jakeman PM. Sex differences in the temporal recovery of neuromuscular function following resistance training in resistance trained men and women 18 to 35 years. Front Physiol 2018; 9: 1480
11 Pareja-Blanco F, Rodríguez-Rosell D, Aagaard P. et al. Time course of recovery from resistance exercise with different set configurations. J Strength Cond Res 2020; 34: 2867-2876
12 Dobbs WC, Fedewa MV, Macdonald HV. et al. Profiles of heart rate variability and bar velocity after resistance exercise. Med Sci Sports Exerc 2020; 52: 1825-1833
13 Belcher DJ, Sousa CA, Carzoli JP. et al. Time course of recovery is similar for the back squat, bench press, and deadlift in well-trained males. Appl Physiol Nutr Metab 2019; 44: 1033-1042
14 Guppy SN, Brady CJ, Kotani Y. et al. Effect of altering body posture and barbell position on the within-session reliability and magnitude of force-time curve characteristics in the isometric mid-thigh pull. J Strength Cond Res 2019; 33: 3252-3262
15 Wang R, Hoffman JR, Tanigawa S. et al. Isometric mid-thigh pull correlates with strength, sprint, and agility performance in collegiate rugby union players. J Strength Cond Res 2016; 30: 3051-3056
16 Buchheit M. Monitoring training status with HR measures: Do all roads lead to Rome?. Front Physiol 2014; 5: 73
17 Flatt AA, Hornikel B, Esco MR. Heart rate variability and psychometric responses to overload and tapering in collegiate sprint-swimmers. J Sci Med Sport 2017; 20: 606-610
18 Nakamura FY, Antunes P, Nunes C. et al. Heart rate variability changes from traditional vs. ultra-short-term recordings in relation to preseason training load and performance in futsal players. J Strength Cond Res 2020; 34: 2974-2981
19 Flatt AA, Esco MR, Nakamura FY. Individual heart rate variability responses to preseason training in high level female soccer players. J Strength Cond Res 2017; 31: 531-538
20 Task Force. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Hear J 1996; 17: 354-381
21 Iglesias-Soler E, Boullosa DA, Carballeira E. et al. Effect of set configuration on hemodynamics and cardiac autonomic modulation after high-intensity squat exercise. Clin Physiol Funct Imaging 2015; 35: 250-257
22 Kliszczewicz BM, Esco MR, Quindry JC. et al. Autonomic responses to an acute bout of high-intensity body weight resistance exercise vs. treadmill running. J Strength Cond Res 2016; 30: 1050-1058
23 Thamm A, Freitag N, Figueiredo P. et al. Can heart rate variability determine recovery following distinct strength loadings? a randomized cross-over trial. Int J Environ Res Public Health 2019; 16: 4353
24 Vale AF, Carneiro JA, Jardim PCV. et al. Acute effects of different resistance training loads on cardiac autonomic modulation in hypertensive postmenopausal women. J Transl Med 2018; 16: 240
25 Gorostiaga EM, Navarro-Amézqueta I, Calbet JAL. et al. Energy metabolism during repeated sets of leg press exercise leading to failure or not. PLoS One 2012; 7: e40621
26 McEwen BS. Physiology and neurobiology of stress and adaptation: central role of the brain. Physiol Rev 2007; 87: 873-904
27 Laurent CM, Green JM, Bishop PA. et al. A practical approach to monitoring recovery: Development of a perceived recovery status scale. J Strength Cond Res 2011; 25: 620-628
28 Sikorski EM, Wilson JM-C, Lowery RP. et al. Changes in perceived recovery status scale following high-volume muscle damaging resistance exercise. J Strength Cond Res 2013; 27: 2079-2085
29 Nunes RFH, Dittrich N, Duffield R. et al. Effects of far-infrared emitting ceramic material clothing on recovery after maximal eccentric exercise. J Hum Kinet 2019; 70: 135-144
30 Helland C, Midttun M, Saeland F. et al. A strength-oriented exercise session required more recovery time than a power-oriented exercise session with equal work. PeerJ 2020; 8: e10044
31 Hurt CP, Lein DH, Smith CR. et al. Assessing a novel way to measure step count while walking using a custom mobile phone application. PLoS One 2018; 13: e0206828
32 Bartolomei S, Sadres E, Church DD. et al. Comparison of the recovery response from high-intensity and high-volume resistance exercise in trained men. Eur J Appl Physiol 2017; 117: 1287-1298
33 Hoffman JR. NSCA’s Guide to Program Design. Champaign, IL: Human Kinetics; 2012
34 Beckham GK, Sato K, Santana HAP. et al. Effect of body position on force production during the isometric mid-thigh pull. J Strength Cond Res 2018; 32: 48-56
35 Rowntree D. Statistics Without Tears: A Primer for Non-Mathematicians. New York: Scribner; 1981
36 Dowling JJ, Vamos L. Identification of kinetic and temporal factors related to vertical jump performance. J Appl Biomech 1993; 9: 95-110
37 Kirby TJ, McBride JM, Haines TL. et al. Relative net vertical impulse determines jumping performance. J Appl Biomech 2011; 27: 207-214
38 Cheung K, Hume PA, Maxwell L. Delayed onset muscle soreness. Sports Med 2003; 33: 145-164
39 González-Badillo JJ, Rodríguez-Rosell D, Sánchez-Medina L. et al. Short-term recovery following resistance exercise leading or not to failure. Int J Sports Med 2016; 37: 295-304
40 Derek Kingsley J, Mayo X, Tai YL. et al. Arterial stiffness and autonomic modulation after free-weight resistance exercises in resistance trained individuals. J Strength Cond Res 2016; 30: 3373-3380
41 Chen JL, Yeh DP, Lee JP. et al. Parasympathetic nervous activity mirrors recovery status in weightlifting performance after training. J Strength Cond Res 2011; 25: 1546-1552
42 Damas F, Nosaka K, Libardi C. et al. Susceptibility to exercise-induced muscle damage: a cluster analysis with a large sample. Int J Sports Med 2016; 37: 633-640
43 Paulsen G, Mikkelsen UR, Raastad T. et al. Leucocytes, cytokines and satellite cells: What role do they play in muscle damage and regeneration following eccentric exercise?. Exerc Immunol Rev 2012; 18: 42-97