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Agreement between Maximal Lactate Steady State and Critical Power in Different Sports: A Systematic Review and Bayesian's Meta-Regression

dc.contributor.authorBorszcz, Fernando Klitzke
dc.contributor.authorDe Aguiar, Rafael Alves
dc.contributor.authorCosta, Vitor Pereira
dc.contributor.authorDenadai, Benedito Sérgio [UNESP]
dc.contributor.authorDe Lucas, Ricardo Dantas
dc.contributor.institutionUniversidade Federal de Santa Catarina (UFSC)
dc.contributor.institutionUniversity of Santa Catarina State
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T20:01:15Z
dc.date.issued2024-06-01
dc.description.abstractBorszcz, 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.en
dc.description.affiliationPhysical Effort Laboratory Sports Center Federal University of Santa Catarina, Florianópolis
dc.description.affiliationHuman Performance Research Group Center for Health and Sport Sciences University of Santa Catarina State, Florianópolis
dc.description.affiliationHuman Performance Laboratory Paulista State University, Rio Claro
dc.description.affiliationUnespHuman Performance Laboratory Paulista State University, Rio Claro
dc.format.extentE320-E339
dc.identifierhttp://dx.doi.org/10.1519/JSC.0000000000004772
dc.identifier.citationJournal of Strength and Conditioning Research, v. 38, n. 6, p. E320-E339, 2024.
dc.identifier.dimensionspub.1171908062
dc.identifier.doi10.1519/JSC.0000000000004772
dc.identifier.issn1533-4287
dc.identifier.issn1064-8011
dc.identifier.orcid0000-0001-9146-6858
dc.identifier.orcid0000-0002-0056-9542
dc.identifier.orcid0000-0002-3773-6906
dc.identifier.orcid0000-0002-8566-3086
dc.identifier.orcid0000-0003-0775-1889
dc.identifier.pmid38781475
dc.identifier.scopus2-s2.0-85194129344
dc.identifier.urihttps://hdl.handle.net/11449/304878
dc.language.isoeng
dc.publisherWolters Kluwer
dc.relation.ispartofJournal of Strength and Conditioning Research
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceScopus
dc.sourceDimensions
dc.subjectendurance sports
dc.subjectmeta-analysis
dc.subjectpower-time relationship
dc.titleAgreement between Maximal Lactate Steady State and Critical Power in Different Sports: A Systematic Review and Bayesian's Meta-Regressionen
dc.typeResenhapt
dspace.entity.typePublication

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