2016
DOI: 10.1139/apnm-2016-0248
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Can measures of critical power precisely estimate the maximal metabolic steady-state?

Abstract: Critical power (CP) conceptually represents the highest power output (PO) at physiological steady-state. In cycling exercise, CP is traditionally derived from the hyperbolic relationship of ∼5 time-to-exhaustion trials (TTE) (CP). Recently, a 3-min all-out test (CP) has been proposed for estimation of CP as well the maximal lactate steady-state (MLSS). The aim of this study was to compare the POs derived from CP, CP, and MLSS, and the oxygen uptake and blood lactate concentrations at MLSS. Thirteen healthy you… Show more

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Cited by 60 publications
(39 citation statements)
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“…Despite the difference in bias, the dispersion of the data was remarkably similar in both studies (the 95% confidence interval was 54 W vs 61 W, respectively), indicating that the error associated with the estimate of CP was consistently high and that model parameter estimates were not accurate in approximating the "true" CP. We also demonstrated that the CP estimated from traditional modelling methods and the 3-min all-out test (Burnley et al 2006) differed in many participants by more than 30 W (this despite similar group mean power outputs), indicating large intra-individual variability between methods (Mattioni Maturana et al 2016). Furthermore, using blood lactate-based experimental verification of CP, we recently demonstrated that young healthy individuals were capable of self-selecting their CP with greater accuracy than traditional methods (Mattioni Maturana et al 2017).…”
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confidence: 78%
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“…Despite the difference in bias, the dispersion of the data was remarkably similar in both studies (the 95% confidence interval was 54 W vs 61 W, respectively), indicating that the error associated with the estimate of CP was consistently high and that model parameter estimates were not accurate in approximating the "true" CP. We also demonstrated that the CP estimated from traditional modelling methods and the 3-min all-out test (Burnley et al 2006) differed in many participants by more than 30 W (this despite similar group mean power outputs), indicating large intra-individual variability between methods (Mattioni Maturana et al 2016). Furthermore, using blood lactate-based experimental verification of CP, we recently demonstrated that young healthy individuals were capable of self-selecting their CP with greater accuracy than traditional methods (Mattioni Maturana et al 2017).…”
mentioning
confidence: 78%
“…de Lucas also correctly points out a discrepancy between the results of Keir et al (2015) andMattioni Maturana et al (2016). That is, the 3-parameter hyperbolically derived CP was shown to approximate (mean bias = −2 W, p > 0.05) and overestimate (mean bias = 19 W, p < 0.05) the MLSS in 2 different sample groups, respectively.…”
mentioning
confidence: 79%
“…I read with great interest the study of Mattioni Maturana et al (2016), which was published in Applied Physiology, Nutrition, and Metabolism. However, I wish to raise some concerns regarding this study, especially considering 2 other studies from the same research group (Keir et al 2015;Mattioni Maturana et al 2017).…”
mentioning
confidence: 99%
“…The answer is: it depends! In general terms, the aforementioned studies (Keir et al 2015;Mattioni Maturana et al 2016, 2017, which aimed to compare CP and MLSS, have used different criteria to set CP, providing divergent conclusions.…”
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confidence: 99%
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