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dc.contributor.authorAndersson, Erik
dc.contributor.authorBjörklund, Glenn
dc.contributor.authorMcGawley, Kerry
dc.date.accessioned2021-09-30T07:02:28Z
dc.date.available2021-09-30T07:02:28Z
dc.date.issued2021-08-04
dc.description.abstract<i>Introduction</i>: To date, no study has compared anaerobic capacity (AnC) estimates computed with the maximal accumulated oxygen deficit (MAOD) method and the gross energy cost (GEC) method applied to treadmill running exercise.<br><br> <i>Purpose</i>: Four different models for estimating anaerobic energy supply during treadmill running exercise were compared.<br><br> <i>Methods</i>: Fifteen endurance-trained recreational athletes performed, after a 10-min warm-up, five 4-min stages at ∼55–80% of peak oxygen uptake, and a 4-min time trial (TT). Two linear speed-metabolic rate (MR) regression models were used to estimate the instantaneous required MR during the TT (MR<i><sub>TT_req</sub></i>), either including (5+Y<i><sub>LIN</sub></i>) or excluding (5-Y<i><sub>LIN</sub></i>) a measured Y-intercept. Also, the average GEC (GEC<i><sub>AVG</sub></i>) based on all five submaximal stages, or the GEC based on the last submaximal stage (GEC<i><sub>LAST</sub></i>), were used as models to estimate the instantaneous MR<i><sub>TT_req</sub></i>. The AnC was computed as the difference between the MR<i><sub>TT_req</sub></i> and the aerobic MR integrated over time.<br><br> <i>Results</i>: The GEC remained constant at ∼4.39 ± 0.29 J⋅kg<sup>–1</sup>⋅m<sup>–1</sup> across the five submaximal stages and the TT was performed at a speed of 4.7 ± 0.4 m⋅s<sup>–1</sup>. Compared with the 5-Y<i><sub>LIN</sub></i>, GEC<i><sub>AVG</sub></i>, and GEC<i><sub>LAST</sub></i> models, the 5+Y<i><sub>LIN</sub></i> model generated a MR<i><sub>TT_req</sub></i> that was ∼3.9% lower, with corresponding anaerobic capacities from the four models of 0.72 ± 0.20, 0.74 ± 0.16, 0.74 ± 0.15, and 0.54 ± 0.14 kJ⋅kg<sup>–1</sup>, respectively (<i>F</i><sub>1.07,42</sub> = 13.9, <i>P</i> = 0.002). The GEC values associated with the TT were 4.22 ± 0.27 and 4.37 ± 0.30 J⋅kg<sup>–1</sup>⋅m<sup>–1</sup> for 5+Y<i><sub>LIN</sub></i> and 5-Y<i><sub>LIN</sub></i>, respectively (calculated from the regression equation), and 4.39 ± 0.28 and 4.38 ± 0.27 J⋅kg<sup>–1</sup>⋅m<sup>–1</sup> for GEC<i><sub>AVG</sub></i> and GEC<i><sub>LAST</sub></i>, respectively (<i>F</i><sub>1.08,42</sub> = 14.6, <i>P</i> < 0.001). The absolute typical errors in AnC ranged between 0.03 and 0.16 kJ⋅kg<sup>–1</sup> for the six pair-wise comparisons and the overall standard error of measurement (SEM) was 0.16 kJ⋅kg<sup>–1</sup>.<br><br> <i>Conclusion</i>: These findings demonstrate a generally high disagreement in estimated anaerobic capacities between models and show that the inclusion of a measured Y-intercept in the linear regression (i.e., 5+Y<i><sub>LIN</sub></i>) is likely to underestimate the MR<i><sub>TT_req</sub></i> and the GEC associated with the TT, and hence the AnC during maximal 4-min treadmill running.en_US
dc.identifier.citationAndersson, Björklund, McGawley. Anaerobic Capacity in Running: The Effect of Computational Method. Frontiers in Physiology. 2021en_US
dc.identifier.cristinIDFRIDAID 1927785
dc.identifier.doi10.3389/fphys.2021.708172
dc.identifier.issn1664-042X
dc.identifier.urihttps://hdl.handle.net/10037/22684
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.relation.journalFrontiers in Physiology
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.subjectVDP::Medical disciplines: 700::Sports medicine: 850en_US
dc.subjectVDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850en_US
dc.titleAnaerobic Capacity in Running: The Effect of Computational Methoden_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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