Comparison of the critical power estimated by the best fit method and the maximal lactate steady state

被引:2
|
作者
As, H. [1 ]
Cabuk, R. [2 ]
Norouzi, M. [1 ]
Balci, G. A. [3 ]
Ozkaya, O. [3 ]
机构
[1] Ege Univ, Inst Hlth Sci, Dept Sports & Hlth Sci, TR-35050 Izmir, Turkiye
[2] Bayburt Univ, Fac Sport Sci, Dept Coaching Educ, TR-69000 Bayburt, Turkiye
[3] Ege Univ, Fac Sports Sci, Dept Coaching Educ, TR-35050 Izmir, Turkiye
关键词
Aerobic capacity; Endurance; Heavy-intensity; Mathematical estimations; Severe-intensity domain; WORK CAPACITY; STATISTICAL-METHODS; EXERCISE; DURATION; RELIABILITY; PERFORMANCE; THRESHOLD; ENDURANCE; CONSTANT; TIME;
D O I
10.1016/j.scispo.2021.12.009
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Aims. - Maximal lactate steady state (MLSS) is accepted as the gold standard method to deter-mine the upper boundary of heavy exercise domain, while critical power (CP) is one of the most practical ways to estimate the lower boundary of severe exercise domain. However, it has been recently discussed that the upper boundary of heavy-intensity exercise domain does not equal to lower boundary of severe-intensity exercise domain. Conversely, the best individual fit method (CPfit) has recently been suggested as an accurate estimation of CP. However, there has not been a comparative evaluation of CPfit versus MLSS. The aim of this study was, therefore, to focus on the comparison of CPfit with MLSS. Methods. - Eleven well-trained male cyclists participated in this study. Following the determination of maximal oxygen uptake, MLSS was determined through the performance of standard 30-minute constant work rate exercises performed on separate days. Cyclists performed four constant-load exercises lasting 2-15 minutes on different days. The data were then fitted to mathematical models to obtain CPfit. Bland-Altman plot with 95% limits of agreement (LoA) was used to measure agreement between CPfit and MLSS. Results. - According to the findings, CPfit overestimated the work rate corresponding to MLSS (300 +/- 38 W vs. 265 +/- 39 W; P = 0.001; effect size = 3.28). Bland-Altman results showed high LoA (14 to 55.9 W) and very high bias (bias = 35 +/- 10.7 W; P = 0.001; r: 0.96) between CPfit and MLSS. Conclusion. - CPfit was not identical for MLSS.(c) 2022 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:197 / 206
页数:10
相关论文
共 50 条
  • [31] Is the Functional Threshold Power Interchangeable With the Maximal Lactate Steady State in Trained Cyclists?
    Borszcz, Fernando Klitzke
    Tramontin, Artur Ferreira
    Costa, Vitor Pereira
    INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 2019, 14 (08) : 1029 - 1035
  • [32] Lactate Threshold (D-Max Method) and Maximal Lactate Steady-State in Cyclists
    Czuba, Milosz
    Zajqc, Adam
    Cholewa, Jaroslaw
    Poprzecki, Stanislaw
    Waskiewicz, Zbigniew
    Mikolajec, Kazimierz
    JOURNAL OF HUMAN KINETICS, 2009, 21 : 49 - 56
  • [33] Effect of 12 weeks of training on critical velocity and maximal lactate steady state in swimmers
    Machado, Marcus V.
    Junior, Orival A.
    Marques, Alessandro C.
    Colantonio, Emilson
    Cyrino, Edilson S.
    De Mello, Marco Tulio
    EUROPEAN JOURNAL OF SPORT SCIENCE, 2011, 11 (03) : 165 - 170
  • [34] Maximal lactate steady state does not correspond to a complete physiological steady state
    Baron, B
    Dekerle, J
    Robin, S
    Neviere, R
    Dupont, L
    Matran, R
    Vanvelcenaher, J
    Robin, H
    Pelayo, P
    INTERNATIONAL JOURNAL OF SPORTS MEDICINE, 2003, 24 (08) : 582 - 587
  • [35] The relationship between onset of blood lactate accumulation, critical velocity, and maximal lactate steady state in soccer players
    Denadai, BS
    Gomide, EBG
    Greco, CC
    JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2005, 19 (02) : 364 - 368
  • [36] The relationship between critical velocity, maximal lactate steady-state velocity and lactate turnpoint velocity in runners
    Clare G. Smith
    Andrew M. Jones
    European Journal of Applied Physiology, 2001, 85 : 19 - 26
  • [37] The relationship between critical velocity, maximal lactate steady-state velocity and lactate turnpoint velocity in runners
    Smith, CGM
    Jones, AM
    EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2001, 85 (1-2) : 19 - 26
  • [38] Estimation of maximal lactate steady state using the sweat lactate sensor
    Yuki Muramoto
    Daisuke Nakashima
    Tsubasa Amano
    Tomota Harita
    Kazuhisa Sugai
    Kyohei Daigo
    Yuji Iwasawa
    Genki Ichihara
    Hiroki Okawara
    Tomonori Sawada
    Akira Kinoda
    Yuichi Yamada
    Takeshi Kimura
    Kazuki Sato
    Yoshinori Katsumata
    Scientific Reports, 13
  • [39] Estimation of maximal lactate steady state using the sweat lactate sensor
    Muramoto, Yuki
    Nakashima, Daisuke
    Amano, Tsubasa
    Harita, Tomota
    Sugai, Kazuhisa
    Daigo, Kyohei
    Iwasawa, Yuji
    Ichihara, Genki
    Okawara, Hiroki
    Sawada, Tomonori
    Kinoda, Akira
    Yamada, Yuichi
    Kimura, Takeshi
    Sato, Kazuki
    Katsumata, Yoshinori
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [40] The validity of the lactate minimum test for determination of the maximal lactate steady state
    Jones, AM
    Doust, JH
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 1998, 30 (08): : 1304 - 1313