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      A Comparison between Different Methods of Estimating Anaerobic Energy Production

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          Abstract

          Purpose: The present study aimed to compare four methods of estimating anaerobic energy production during supramaximal exercise.

          Methods: Twenty-one junior cross-country skiers competing at a national and/or international level were tested on a treadmill during uphill (7°) diagonal-stride (DS) roller-skiing. After a 4-minute warm-up, a 4 × 4-min continuous submaximal protocol was performed followed by a 600-m time trial (TT). For the maximal accumulated O 2 deficit (MAOD) method the V . O 2-speed regression relationship was used to estimate the V . O 2 demand during the TT, either including (4+Y, method 1) or excluding (4-Y, method 2) a fixed Y-intercept for baseline V . O 2. The gross efficiency (GE) method (method 3) involved calculating metabolic rate during the TT by dividing power output by submaximal GE, which was then converted to a V . O 2 demand. An alternative method based on submaximal energy cost (EC, method 4) was also used to estimate V . O 2 demand during the TT.

          Results: The GE/EC remained constant across the submaximal stages and the supramaximal TT was performed in 185 ± 24 s. The GE and EC methods produced identical V . O 2 demands and O 2 deficits. The V . O 2 demand was ~3% lower for the 4+Y method compared with the 4-Y and GE/EC methods, with corresponding O 2 deficits of 56 ± 10, 62 ± 10, and 63 ± 10 mL·kg −1, respectively ( P < 0.05 for 4+Y vs. 4-Y and GE/EC). The mean differences between the estimated O 2 deficits were −6 ± 5 mL·kg −1 (4+Y vs. 4-Y, P < 0.05), −7 ± 1 mL·kg −1 (4+Y vs. GE/EC, P < 0.05) and −1 ± 5 mL·kg −1 (4-Y vs. GE/EC), with respective typical errors of 5.3, 1.9, and 6.0%. The mean difference between the O 2 deficit estimated with GE/EC based on the average of four submaximal stages compared with the last stage was 1 ± 2 mL·kg −1, with a typical error of 3.2%.

          Conclusions: These findings demonstrate a disagreement in the O 2 deficits estimated using current methods. In addition, the findings suggest that a valid estimate of the O 2 deficit may be possible using data from only one submaximal stage in combination with the GE/EC method.

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          Most cited references42

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          Slow component of VO2 kinetics: mechanistic bases and practical applications.

          The V·O₂ slow component, a slowly developing increase in V·O₂ during constant-work-rate exercise performed above the lactate threshold, represents a progressive loss of skeletal muscle contractile efficiency and is associated with the fatigue process. This brief review outlines the current state of knowledge concerning the mechanistic bases of the V·O₂ slow component and describes practical interventions that can attenuate the slow component and thus enhance exercise tolerance. There is strong evidence that, during constant-work-rate exercise, the development of the V·O₂ slow component is associated with the progressive recruitment of additional (type II) muscle fibers that are presumed to have lower efficiency. Recent studies, however, indicate that muscle efficiency is also lowered (resulting in a "mirror-image" V·O₂ slow component) during fatiguing, high-intensity exercise in which additional fiber recruitment is unlikely or impossible. Therefore, it seems that muscle fatigue underpins the V·O₂ slow component, although the greater fatigue sensitivity of recruited type II fibers might still play a crucial role in the loss of muscle efficiency in both situations. Several interventions can reduce the magnitude of the V·O₂ slow component, and these are typically associated with an enhanced exercise tolerance. These include endurance training, inspiratory muscle training, priming exercise, dietary nitrate supplementation, and the inspiration of hyperoxic gas. All of these interventions reduce muscle fatigue development either by improving muscle oxidative capacity and thus metabolic stability or by enhancing bulk muscle O2 delivery or local Q·O₂-to-V·O₂ matching. Future honing of these interventions to maximize their impact on the V·O₂ slow component might improve sports performance in athletes and exercise tolerance in the elderly or in patient populations.
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            Factors limiting maximal performance in humans.

            Theoretical best performance times (ttheor) in track running are calculated as follows. Maximal metabolic power (Emax) is a known function of maximal oxygen uptake (VO2max), of maximal anaerobic capacity (AnS) and of effort duration to exhaustion (te):Emax=f (te). Metabolic power requirement (Er) to cover the distance (d) in the performance time tp is the product of the energy cost of locomotion per unit distance (C) and the speed: Er=Cxd/tp. The time values for which Emax (te)=Er (tp), assumed to yield ttheor, can be obtained for any given subject and distance provided that VO2max, AnS and C are known, and compared with actual best performances (tact). For 15 min> or =te> or =100 s, the overall ratio tact/ttheor was rather close to 1.0. To estimate the relative role of the different factors limiting VO2max, several resistances to O2 transport are identified, inversely proportional to: alveolar ventilation (RV*), O2 transport by the circulation (RQ), O2 diffusion from capillary blood to mitochondria (Rt), mitochondrial capacity (Rm). Observed changes of VO2max are accompanied by measured changes of several resistances. The ratio of each resistance to the overall resistance can therefore be calculated by means of the O2 conductance equation. In exercise with large muscle groups (two legs), RQ is the major (75%) limiting factor downstream of the lung, its role being reduced to 50% during exercise with small muscle groups (one leg). Rt and Rm account for the remaining fractions. In normoxia RV* is negligible; at high altitude it increases progressively, together with Rt and Rm, at the expense of RQ.
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              The physiology of world-class sprint skiers.

              The present study investigated the physiological characteristics of eight world-class (WC) and eight national-class (NC) Norwegian sprint cross country skiers. To measure the physiological response and treadmill performance, the skiers performed a submaximal test, a peak aerobic capacity (VO2peak) test, and a peak treadmill speed (V(peak)) test in the skating G3 technique. Moreover, the skiers were tested for G3 acceleration outdoors on asphalt and maximal strength in the lab. The standard of sprint skating performance level on snow was determined by International Ski Federation points, and the training distribution was quantified. WC skiers showed 8% higher VO2peak and twice as long a VO(2) plateau time at the VO2peak test, and a higher gross efficiency at the submaximal test (all P<0.05). Furthermore, WC skiers showed 8% higher V(peak) (P<0.05), but did not differ from NC skiers in acceleration and maximal strength. WC skiers performed more low- and moderate-intensity endurance training and speed training (both P<0.05). The current results show that aerobic capacity, efficiency, and high speed capacity differentiate WC and NC sprint skiers and it is suggested that these variables determine sprint skiing performance. © 2010 John Wiley & Sons A/S.
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                Author and article information

                Contributors
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                08 February 2018
                2018
                : 9
                : 82
                Affiliations
                Swedish Winter Sports Research Centre, Department of Health Sciences, Mid Sweden University , Östersund, Sweden
                Author notes

                Edited by: Luca Paolo Ardigò, University of Verona, Italy

                Reviewed by: Leonardo Alexandre Peyré-Tartaruga, Federal University of Rio Grande do Sul (UFRGS), Brazil; Thomas Losnegard, Norwegian School of Sport Sciences, Norway; Fabio Milioni, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Brazil

                *Correspondence: Erik P. Andersson erik.andersson@ 123456miun.se

                This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology

                Article
                10.3389/fphys.2018.00082
                5809502
                29472871
                c8fdc810-e88e-414a-bde0-099da7aba012
                Copyright © 2018 Andersson and McGawley.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 June 2017
                : 23 January 2018
                Page count
                Figures: 3, Tables: 2, Equations: 9, References: 51, Pages: 11, Words: 8714
                Categories
                Physiology
                Original Research

                Anatomy & Physiology
                anaerobic capacity,cross-country skiing,endurance exercise,energetics,oxygen deficit,oxygen demand,oxygen uptake

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