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dc.contributor.authorGløersen, Øyvind Nøstdahl
dc.contributor.authorColosio, Alessandro L.
dc.contributor.authorBoone, Jan
dc.contributor.authorDysthe, Dag Kristian
dc.contributor.authorMalthe-Sørenssen, Anders
dc.contributor.authorCapelli, Carlo
dc.contributor.authorPogliaghi, Silvia
dc.date.accessioned2023-06-23T11:57:07Z
dc.date.available2023-06-23T11:57:07Z
dc.date.created2022-09-13T19:38:34Z
dc.date.issued2022
dc.identifier.citationJournal of applied physiology. 2022, 132(6), 1480-1488.en_US
dc.identifier.issn8750-7587
dc.identifier.urihttps://hdl.handle.net/11250/3072911
dc.descriptionI Brage finner du siste tekst-versjon av artikkelen, og den kan inneholde ubetydelige forskjeller fra forlagets pdf-versjon. Forlagets pdf-versjon finner du på journals.physiology.org / In Brage you'll find the final text version of the article, and it may contain insignificant differences from the journal's pdf version. The original publication is available at journals.physiology.orgen_US
dc.description.abstractThis study presents and evaluates a new mathematical model of V̇o2 on-kinetics, with the following properties: 1) a progressively slower primary phase following the size-principle of motor unit recruitment, explaining the delayed V̇o2 steady state seen in the heavy exercise intensity domain, and 2) a severe-domain slow component modeled as a time-dependent decrease in efficiency. Breath-by-breath V̇o2 measurements from eight subjects performing step cycling transitions, in the moderate, heavy, and severe exercise domains, were fitted to the conventional three-phase model and the new model. Model performance was evaluated with a residual analysis and by comparing Bayesian (BIC) and corrected Akaike (AICc) information criteria. The residual analysis showed no systematic deviations, except perhaps for the initial part of the primary phase. BIC favored the new model, being 9.3 (SD 7.1) lower than the conventional model whereas AICc was similar between models. Compared with the conventional three-phase model, the proposed model distinguishes between the kinetic adaptations in the heavy and severe domains by predicting a delayed steady-state V̇o2 in the heavy and no steady-state V̇o2 in the severe domain. This allows to determine when stable oxygen costs of exercise are attainable and it also represents a first step in defining time-dependent oxygen costs when stable energy conversion efficiency is not attainable. NEW & NOTEWORTHY: We propose and assess a new minimalistic integrated model for the V̇o2 on-kinetics, inspired by the currently available best evidence of the underlying mechanisms. We show that the model provides a similar fit as the conventionally used three-phase model, even though a stricter data fitting method is used for the proposed model. The proposed model clarifies misconceptions related to the V̇o2 slow component’s behavior, by clearly predicting that steady-state V̇o2 is attainable in the moderate and heavy exercise intensity domains. Furthermore, the model opens new possibilities for assessing oxygen cost during severe intensity exercise without the fallible assumption of time-constant energy-conversion efficiency.en_US
dc.language.isoengen_US
dc.subjectmodelingen_US
dc.subjectoxidative metabolismen_US
dc.subjectprimary componenten_US
dc.subjectvo2 kineticsen_US
dc.titleModeling V̇o2 on-kinetics based on intensity-dependent delayed adjustment and loss of efficiency (DALE)en_US
dc.title.alternativeModeling V̇o2 on-kinetics based on intensity-dependent delayed adjustment and loss of efficiency (DALE)en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber1480-1488en_US
dc.source.volume132en_US
dc.source.journalJournal of applied physiologyen_US
dc.source.issue6en_US
dc.identifier.doi10.1152/japplphysiol.00570.2021
dc.identifier.cristin2051416
dc.description.localcodeInstitutt for fysisk prestasjonsevne / Department of Physical Performanceen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.fulltextpostprint
cristin.qualitycode2


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