Using Load-Velocity Relationships to Quantify Training-Induced Fatigue

被引:29
|
作者
Hughes, Liam J. [1 ]
Banyard, Harry G. [2 ,3 ]
Dempsey, Alasdair R. [1 ]
Peiffer, Jeremiah J. [1 ]
Scott, Brendan R. [1 ]
机构
[1] Murdoch Univ, Sch Psychol & Exercise Sci, Murdoch Appl Sports Sci Lab, Murdoch, WA, Australia
[2] Edith Cowan Univ, Sch Med & Hlth Sci, CESSR, Joondalup, WA, Australia
[3] Subiaco Oval, WAFC, Subiaco, WA, Australia
关键词
squat; maximal strength; resistance training; linear position transducer; 1 repetition maximum; DISSOCIATED TIME-COURSE; BENCH PRESS; SLEEP-DEPRIVATION; FORCE-VELOCITY; STRENGTH; EXERCISE; RECOVERY; VALIDITY; POWER; RESTRICTION;
D O I
10.1519/JSC.0000000000003007
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Hughes, LJ, Banyard, HG, Dempsey, AR, Peiffer, JJ, and Scott, BR. Using load-velocity relationships to quantify training-induced fatigue. J Strength Cond Res 33(3): 762-773, 2019-The purpose of this study was to investigate using load-velocity relationships to quantify fluctuations in maximal strength (1 repetition maximum [1RM]), which occur as a result of training-induced fatigue. The 19 well-trained men (age: 24.3 +/- 2.9 years, height: 180.1 +/- 5.9 cm, body mass: 84.2 +/- 10.5 kg, and squat 1RM: 151.1 +/- 25.7 kg) who were recruited for this study attended 5 sessions. After baseline strength testing, individual load-velocity relationships were established using mean concentric velocity during visits 2, 4, and 5, with visit 3 consisting of a bout of fatiguing exercise (5 sets of squats performed to muscular failure with 70% 1RM). Predicted 1RM values were calculated using the minimal velocity threshold (1RM(MVT)), load at zero velocity (1RM(LD0)), and force-velocity (1RM(FV)) methods. Measured 1RM, maximal voluntary contractions, and perceived muscle soreness were used to examine the effects of fatigue in relation to the predicted 1RM scores. The 1RM(MVT) and 1RM(LD0) demonstrated very strong and strong correlations with measured 1RM during each of the sessions (r = 0.90-0.96 and r = 0.77-0.84, respectively), while no strong significant correlations were observed for the 1RM(FV). Further analysis using Bland-Altman plots demonstrated substantial interindividual variation associated with each method. These results suggest that load-velocity-based 1RM predictions are not accurate enough to be used for daily training load prescription, as has been previously suggested. Nevertheless, these predictions are practical to implement during an individual's warm-up and may be useful to indicate general fluctuations in performance potential, particularly if used in conjunction with other common monitoring methods.
引用
收藏
页码:762 / 773
页数:12
相关论文
共 50 条
  • [41] Comprehensive evaluation of military training-induced fatigue among soldiers in China: A Delphi consensus study
    Ruan, Yi
    Song, Shang-jin
    Yin, Zi-fei
    Wang, Man
    Huang, Nian
    Gu, Wei
    Ling, Chang-quan
    [J]. FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [42] Effects of Training-Induced Fatigue on Pacing Patterns in 40-km Cycling Time Trials
    Skorski, Sabrina
    Hammes, Daniel
    Schwindling, Sascha
    Veith, Sebastian
    Pfeiffer, Mark
    Ferrauti, Alexander
    Kellmann, Michael
    Meyer, Tim
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2015, 47 (03): : 593 - 600
  • [43] Long-Term Effect of Vibration Therapy for Training-Induced Muscle Fatigue in Elite Athletes
    Chu, Yufan
    Wang, Qiming
    Chu, Muyan
    Geng, Baofeng
    Jia, Huanguang
    Li, Xiaolong
    Lv, Tao
    Jiang, Suyi
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (12)
  • [44] The Effect of Augmented Feedback Type and Frequency on Velocity-Based Training-Induced Adaptation and Retention
    Nagata, Akinori
    Doma, Kenji
    Yamashita, Daichi
    Hasegawa, Hiroshi
    Mori, Shuji
    [J]. JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2020, 34 (11) : 3110 - 3117
  • [45] Improving resistance training prescription through the load-velocity relationship in breast cancer survivors: The case of the leg-press exercise
    Diez-Fernandez, David M.
    Baena-Raya, Andres
    Alcaraz-Garcia, Celia
    Rodriguez-Rosell, David
    Rodriguez-Perez, Manuel A.
    Soriano-Maldonado, Alberto
    [J]. EUROPEAN JOURNAL OF SPORT SCIENCE, 2022, 22 (11) : 1765 - 1774
  • [46] A COMPARISON OF LOAD-VELOCITY AND LOAD-POWER RELATIONSHIPS BETWEEN WELL-TRAINED YOUNG AND MIDDLE-AGED MALES DURING THREE POPULAR RESISTANCE EXERCISES
    Fernandes, John F. T.
    Lamb, Kevin L.
    Twist, Craig
    [J]. JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2018, 32 (05) : 1440 - 1447
  • [47] Training-Induced Muscle Fatigue with a Powered Lower-Limb Exoskeleton: A Preliminary Study on Healthy Subjects
    Baptista, Renato
    Salvaggio, Francesco
    Cavallo, Caterina
    Pizzocaro, Serena
    Galasso, Svonko
    Schmid, Micaela
    De Nunzio, Alessandro Marco
    [J]. MEDICAL SCIENCES, 2022, 10 (04)
  • [48] Effect of intra-session exercise sequence on the load-velocity relationship variables after a concurrent sprint interval and resistance training program
    Perez-Castilla, Alejandro
    Garcia-Pinillos, Felipe
    Ramirez-Campillo, Rodrigo
    Ruiz-Alias, Santiago A.
    [J]. INTERNATIONAL JOURNAL OF SPORTS SCIENCE & COACHING, 2023, 18 (04) : 1164 - 1172
  • [49] Changes in awakening cortisol response and midnight salivary cortisol are sensitive markers of strenuous training-induced fatigue
    Minetto, M. A.
    Lanfranco, F.
    Tibaudi, A.
    Baldi, M.
    Termine, A.
    Ghigo, E.
    [J]. JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION, 2008, 31 (01) : 16 - 24
  • [50] Changes in awakening Cortisol response and midnight salivary Cortisol are sensitive markers of strenuous training-induced fatigue
    M. A. Minetto
    F. Lanfranco
    A. Tibaudi
    M. Baldi
    A. Termine
    E. Ghigo
    [J]. Journal of Endocrinological Investigation, 2008, 31 : 16 - 24