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Agreement Between Maximal Lactate Steady State and Critical Power in Different Sports: A Systematic Review and Bayesian's Meta-Regression.
Borszcz, Fernando Klitzke; de Aguiar, Rafael Alves; Costa, Vitor Pereira; Denadai, Benedito Sérgio; de Lucas, Ricardo Dantas.
Afiliação
  • Borszcz FK; Physical Effort Laboratory, Sports Center, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • de Aguiar RA; Human Performance Research Group, Center for Health and Sport Sciences, University of Santa Catarina State, Florianópolis, Santa Catarina, Brazil; and.
  • Costa VP; Physical Effort Laboratory, Sports Center, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Denadai BS; Human Performance Research Group, Center for Health and Sport Sciences, University of Santa Catarina State, Florianópolis, Santa Catarina, Brazil; and.
  • de Lucas RD; Human Performance Research Group, Center for Health and Sport Sciences, University of Santa Catarina State, Florianópolis, Santa Catarina, Brazil; and.
J Strength Cond Res ; 38(6): e320-e339, 2024 Jun 01.
Article em En | MEDLINE | ID: mdl-38781475
ABSTRACT
ABSTRACT Borszcz, FK, de Aguiar, RA, Costa, VP, Denadai, BS, and de Lucas, RD. Agreement between maximal lactate steady state and critical power in different sports A systematic review and Bayesian's meta-regression. J Strength Cond Res 38(6) e320-e339, 2024-This study aimed to systematically review the literature and perform a meta-regression to determine the level of agreement between maximal lactate steady state (MLSS) and critical power (CP). Considered eligible to include were peer-reviewed and "gray literature" studies in English, Spanish, and Portuguese languages in cyclical exercises. The last search was made on March 24, 2022, on PubMed, ScienceDirect, SciELO, and Google Scholar. The study's quality was evaluated using 4 criteria adapted from the COSMIN tool. The level of agreement was examined by 2 separate meta-regressions modeled under Bayesian's methods, the first for the mean differences and the second for the SD of differences. The searches yielded 455 studies, of which 36 studies were included. Quality scale revealed detailed methods and small samples used and that some studies lacked inclusion/exclusion criteria reporting. For MLSS and CP comparison, likely (i.e., coefficients with high probabilities) covariates that change the mean difference were the MLSS time frame and delta criteria of blood lactate concentration, MLSS number and duration of pauses, CP longest predictive trial duration, CP type of predictive trials, CP model fitting parameters, and exercise modality. Covariates for SD of the differences were the subject's maximal oxygen uptake, CP's longest predictive trial duration, and exercise modality. Traditional MLSS protocol and CP from 2- to 15-minute trials do not reflect equivalent exercise intensity levels; the proximity between MLSS and CP measures can differ depending on test design, and both MLSS and CP have inherent limitations. Therefore, comparisons between them should always consider these aspects.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes / Ácido Láctico Limite: Humans Idioma: En Revista: J Strength Cond Res Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes / Ácido Láctico Limite: Humans Idioma: En Revista: J Strength Cond Res Ano de publicação: 2024 Tipo de documento: Article