Comparison of the critical power estimated by the best fit method and the maximal lactate steady state; [Comparaison entre la puissance critique estimée par la méthode bien-être et l’état d’équilibre maximal du lactate]

MakaleYalnız künyeScopus SJRQ3
  • SDG 3 · Sağlık ve Kaliteli Yaşam

Özet

Aims: Maximal lactate steady state (MLSS) is accepted as the gold standard method to determine 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.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/12886Resmi atıflarda kullanılan kalıcı adres
İndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
Scopus
1
WoS
2
OpenAlex
3
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorAs, H.
dc.contributor.authorCabuk, R.
dc.contributor.authorNorouzi, M.
dc.contributor.authorBalci, G.A.
dc.contributor.authorOzkaya, O.
dc.date.accessioned2026-10-29T19:10:10.835214371Z
dc.date.available2026-10-29T19:10:10.835214371Z
dc.date.issued2023
dc.description.abstractAims: Maximal lactate steady state (MLSS) is accepted as the gold standard method to determine 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.
dc.description.sponsorshipEge Üniversitesi
dc.identifier.doi10.1016/j.scispo.2021.12.009
dc.identifier.endpage206
dc.identifier.issn0765-1597
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85138763988
dc.identifier.startpage197
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/12886
dc.identifier.volume38
dc.identifier.wosWOS:000989481900001
dc.language.isoen
dc.publisherElsevier Masson s.r.l.
dc.relation.ispartofScience and Sports
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAerobic capacity
dc.subjectEndurance
dc.subjectHeavy-intensity
dc.subjectMathematical estimations
dc.subjectSevere-intensity domain
dc.subject.classificationSport Sciences
dc.subject.otherlactic acid
dc.subject.otheroxygen
dc.subject.otheradult
dc.subject.otheraerobic capacity
dc.subject.otherArticle
dc.subject.otherbicycle ergometry
dc.subject.othercontrolled study
dc.subject.othercyclist
dc.subject.othereffect size
dc.subject.otherendurance
dc.subject.otherexercise
dc.subject.otherexercise intensity
dc.subject.otherexercise tolerance
dc.subject.otherfitness
dc.subject.othergold standard
dc.subject.otherhuman
dc.subject.otherhuman experiment
dc.subject.otherlactate blood level
dc.subject.otherlimit of agreement
dc.subject.otherload carrying capacity
dc.subject.othermale
dc.subject.othermathematical model
dc.subject.othermaximal lactate steady state
dc.subject.othermaximal oxygen uptake
dc.subject.othernormal human
dc.subject.othersteady state
dc.subject.otherwork
dc.subject.otheryoung adult
dc.titleComparison of the critical power estimated by the best fit method and the maximal lactate steady state; [Comparaison entre la puissance critique estimée par la méthode bien-être et l’état d’équilibre maximal du lactate]
dc.typeArticle
rdl.citation.openalex3
rdl.citation.scopus1
rdl.citation.wos2
rdl.oa.statusclosed
rdl.scopus.quartileQ3
rdl.sdgSDG03
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)