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<article article-type="brief-report" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sports Act. Living</journal-id>
<journal-title>Frontiers in Sports and Active Living</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sports Act. Living</abbrev-journal-title>
<issn pub-type="epub">2624-9367</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fspor.2024.1320698</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sports and Active Living</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Changes in roller skiing economy among Nordic combined athletes leading up to the competition season</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Yanaka</surname><given-names>Takuya</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2544010/overview"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Nakamura</surname><given-names>Mariko</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/693102/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Yamanobe</surname><given-names>Kaoru</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Ishige</surname><given-names>Yusuke</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/584860/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Sports Science and Research, Japan Institute of Sports Sciences</institution>, <addr-line>Tokyo</addr-line>, <country>Japan</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Faculty of Commerce, Yokohama College of Commerce</institution>, <addr-line>Kanagawa</addr-line>, <country>Japan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Paul S. R. Goods, Murdoch University, Australia</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Stephen David Myers, University of Chichester, United Kingdom</p>
<p>Martyn John Binnie, Western Australian Institute of Sport, Australia</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Takuya Yanaka <email>t.yanaka0214@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>04</day><month>03</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>6</volume><elocation-id>1320698</elocation-id>
<history>
<date date-type="received"><day>12</day><month>10</month><year>2023</year></date>
<date date-type="accepted"><day>21</day><month>02</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Yanaka, Nakamura, Yamanobe and Ishige.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Yanaka, Nakamura, Yamanobe and Ishige</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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.</p></license>
</permissions>
<abstract>
<p>The purpose of this study was to compare roller skiing economy during different training phases in Nordic combined (NC) athletes and determine the aerobic and anaerobic factors responsible for changes in skiing economy. Seven elite NC athletes underwent incremental load tests on a large buried treadmill in both spring and autumn using roller skis. Measurements included oxygen uptake, respiratory exchange ratio, and blood lactate concentration. Roller skiing economy was calculated from aerobic and anaerobic energy system contributions, and overall roller skiing economy was determined by combining the two. Comparisons were made between the skiing economies obtained in the two measurement sessions. Physical characteristics and incremental test performance remained consistent between the two measurement sessions. The overall skiing economy at each speed significantly improved toward the competition season (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Similarly, the contribution of anaerobic energy system at each speed showed significant improvement (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). In contrast, the contribution of aerobic energy system did not change between the two measurement sessions. This study reveals that NC athletes enhance their skiing economy at the same speed during submaximal efforts in preparation for the competition season. This improvement is predominantly associated with an improvement in the contribution of anaerobic energy system.</p>
</abstract>
<kwd-group>
<kwd>aerobic</kwd>
<kwd>anaerobic</kwd>
<kwd>cross-country skiing</kwd>
<kwd>ski jumping</kwd>
<kwd>&#x2A52;O<sub>2max</sub></kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="1"/><equation-count count="16"/><ref-count count="26"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Elite Sports and Performance Enhancement</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>In Nordic combined (NC), an athlete&#x0027;s competition ranking is determined by their performance in ski jumping (SJ) and cross-country skiing (XC). SJ requires high vertical jumping power, light body weight, and precise posture control during take-off (i.e., control of angular momentum) (<xref ref-type="bibr" rid="B1">1</xref>). Training for SJ focuses on enhancing lower limb power and the timing of power exertion during high-speed descents. Conversely, XC demands both high aerobic and anaerobic capacities (<xref ref-type="bibr" rid="B2">2</xref>) as well as efficient gliding (<xref ref-type="bibr" rid="B3">3</xref>). Improving these factors necessitates substantial endurance training. However, NC athletes have limited time available for each discipline compared with athletes specializing in SJ or XC (<xref ref-type="bibr" rid="B4">4</xref>), which requires them to train efficiently in both areas.</p>
<p>Maximal oxygen consumption <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM1"><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math></inline-formula> is commonly used as an indicator of aerobic capacity in long-distance events, including XC. Numerous studies have shown a positive correlation between higher <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM2"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula> and performance in XC athletes (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Some studies investigating XC athletes using running have observed seasonal variations in <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM3"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:math></inline-formula> max (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Meanwhile well-trained athletes may improve <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM4"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula> with high volume intensive training, improvements in <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM5"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula> may reach a plateau when training volumes are low (<xref ref-type="bibr" rid="B9">9</xref>). As mentioned earlier, NC athletes have less time for endurance training than XC athletes. These suggest that NC athletes may have limited opportunities to enhance their <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM6"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula> compared with XC athletes.</p>
<p>Moreover, XC races entail high intensities, particularly during uphill sections on undulating terrain (<xref ref-type="bibr" rid="B2">2</xref>), necessitating a highly developed anaerobic capacity. Sandbakk et al. (<xref ref-type="bibr" rid="B7">7</xref>) highlighted the importance of anaerobic energy mechanisms in differentiating competition levels. Therefore, supplying adequate aerobic and anaerobic energy is crucial for XC racing. Additionally, efficient gliding with minimal energy expenditure is vital. Oxygen uptake at a given velocity (O<sub>2</sub>-cost) (<xref ref-type="bibr" rid="B6">6</xref>) and gross efficiency (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B7">7</xref>) have been used as methods to measure gliding efficiency. Studies have found that XC athletes with lower energy expenditure exhibit higher performance levels (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Furthermore, Losnegard et al. (<xref ref-type="bibr" rid="B2">2</xref>) demonstrated an improvement in O<sub>2</sub>-cost leading up to the competition season, indicating that XC athletes ski more efficiently during off snow season preceding the competition.</p>
<p>Another measure of efficiency is exercise economy, which quantifies energy consumption per unit distance. Kyr&#x00F6;l&#x00E4;inen et al. (<xref ref-type="bibr" rid="B10">10</xref>) and Tanji et al. (<xref ref-type="bibr" rid="B11">11</xref>) calculated running economy by combining aerobic energy expenditure, calculated from oxygen intake and respiratory quotient, with anaerobic energy, as indicated by blood lactate concentration, which is then converted to aerobic energy expenditure. The calculation also has been used to compare roller skiing economy of XC athletes among skiing techniques (<xref ref-type="bibr" rid="B12">12</xref>). This index is considered possible to examine the contribution of aerobic and anaerobic energy systems for skiing economy. Previous studies have primarily focused on the efficiency of XC athletes, raising questions about whether similar findings can be applied to NC athletes. Understanding the characteristics of changes in roller skiing economy among NC athletes for each energy mechanism could potentially lead to efficient XC training in the context of SJ training.</p>
<p>The purpose of this study was to compare roller skiing economy between different phases in NC athletes and identify the aerobic and anaerobic factors responsible for changes in roller skiing economy. XC and NC athletes often use roller skis in their XC training during the off-snow season. The sub-technique examined in this study revealed slight differences in hip angle (8&#x00B0;) and pole push time (0.04&#x2005;s) between roller skis and on snow. However, due to the similarity observed in ground-contact, hip acceleration, and hip displacement patterns, it is suggested that roller skiing can simulate movements on snow (<xref ref-type="bibr" rid="B13">13</xref>). Previous studies (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>) have reported performance improvements in XC athletes leading up to the competitive season. Losnegard et al. (<xref ref-type="bibr" rid="B14">14</xref>) highlighted the enhancement of O<sub>2</sub>-cost and O<sub>2</sub>-deficit, indicators of skiing economy during submaximal intensity exercise, as factors contributing to this improvement. NC athletes also aim to improve their performance for the competitive season, and endurance training is expected to influence these factors. Therefore, we hypothesize that the roller skiing economy of NC athletes will improve in the next competition season, driven by changes in both aerobic and anaerobic factors.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<sec id="s2a"><label>2.1</label><title>Subjects</title>
<p>Seven elite NC athletes participated in this study. They were part of the Japanese national team and competed in international competitions. The physical characteristics of the subjects were age 24.1&#x2009;&#x00B1;&#x2009;6.9 years-old, height 1.72&#x2009;&#x00B1;&#x2009;0.02&#x2005;m, weight 63.0&#x2009;&#x00B1;&#x2009;3.2&#x2005;kg, fat free mass (FFM) 56.3&#x2009;&#x00B1;&#x2009;3.0&#x2005;kg in spring (June) and age 24.6&#x2009;&#x00B1;&#x2009;6.9 years-old, height 1.72&#x2009;&#x00B1;&#x2009;0.02&#x2005;m, weight 63.8&#x2009;&#x00B1;&#x2009;3.8&#x2005;kg, FFM 56.4&#x2009;&#x00B1;&#x2009;2.5&#x2005;kg in autumn (September&#x2013;October). FFM was measured using the BOD POD Body Composition System (Life Measurement Instrument, California) employing air-displacement plethysmography. There were no differences in physical characteristics between two measurements. Prior to the measurements, the subjects were informed about the study details and their written consent to participate was obtained. The measurement sessions were conducted with the approval of the ethics committee affiliated with the Japan Institute of Sports Sciences.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Experimental procedure</title>
<p>The subjects performed an incremental load test using roller skis (MS610AS, MARWE, Finland) on a large buried treadmill (S3040, ForceLink, Netherlands). Before the test, the subjects underwent a warm-up period consisting of stretching and gliding on the treadmill at their desired speed for approximately 10&#x2005;min. The test began at 8&#x2005;km/h on a treadmill with a fixed incline of 5.2&#x0025; (approximately 3 degrees), and involved gradually increasing the speed by 1.5&#x2005;km/h every 3&#x2005;min. During the initial three stages, when the speed was relatively slow, the subjects were allowed to choose sub-techniques freely. However, from the fourth stage onward, they were instructed to use only gear three (G3) technique. This technique involves a synchronized double-poling movement for each skating stroke and is a symmetrical technique commonly adopted on flat to gently uphill terrains, frequently used even in competitions. Additionally, the subjects were given a 1-min break between stages for blood sampling, and the test continued until exhaustion. The test concluded when two of the following criteria were met: (1) the respiratory exchange ratio (RER) exceeded 1.15, (2) the subject reached their age-predicted maximal heart rate (HR) (i.e., 220 &#x2013; age), or (3) their blood lactate concentration (La) exceeded 8.0&#x2005;mmol/L (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Respiratory gas analysis was performed continuously on a breath-by-breath basis using the computerized standard open circuit technique and an expiratory gas analyzer (AE310-S, Minato Medical Science, Japan). Before and after the measurements, the analyzer was calibrated using two calibration gases (air equivalent: O<sub>2</sub>, 20.90&#x0025;, CO<sub>2</sub>, 0.03&#x0025;, N<sub>2</sub> balance; exhaled air equivalent: O<sub>2</sub>, 15.90&#x0025;, CO<sub>2</sub>, 5.00&#x0025;, N<sub>2</sub> balance). The hot wire flowmeter was calibrated before the experiment using a flow calibrator. The oxygen uptake <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM7"><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math></inline-formula> and RER for each stage were averaged over a 1-min period preceding the stage&#x0027;s end. <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM8"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula> was determined as the maximum 30-s average <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM9"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:math></inline-formula> throughout the test. Blood samples were drawn from the participants&#x0027; fingertips before the start of the test, immediately after the end of each stage, and immediately after the test&#x0027;s completion. Blood La was measured using two blood lactate analyzers (Lactate Pro2, Arkray, Japan), and the average of the two values obtained was used as the representative value for each point.</p>
<p>Additionally, the HR during the test was measured at a frequency of 12&#x2005;Hz using a HR monitor (RS800, Polar, Finland). The time to exhaustion (TTE) was defined as the duration until the test was terminated, the HR immediately prior to exercise cessation was defined as the maximum HR (HR<sub>max</sub>), and the blood La immediately after the test was defined as the post-exercise blood La (La<sub>pe</sub>). V<sub>peak</sub> was calculated based on the method of a previous study (<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Data analysis</title>
<p>The analysis focused on the period from stage 4 (12.5&#x2005;km/h), when the subjects started using the G3 technique, to stage 8 (18.5&#x2005;km/h), at which point all subjects had completed the test. The roller skiing economy was calculated using methods described in previous studies (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). An energy equivalent of 20,202&#x2005;J&#x30FB;ml<sup>&#x2212;1</sup> oxygen was applied when RER was 0.82. The change of &#x00B1;0.01 in RER caused the respective 50&#x2005;J changes in energy expenditure (<xref ref-type="bibr" rid="B18">18</xref>). For example, if RER was 1.00, the energy equivalent applied was 21,102&#x2005;J&#x30FB;ml<sup>&#x2212;1</sup> oxygen. This was the contribution of the aerobic energy systems (C<sub>AE</sub>). When blood La exceeded 2.0&#x2005;mM (&#x003C;2.0&#x2005;mM was negligible), The contribution of anaerobic energy sytem (C<sub>AN</sub>) was then calculated based on an equivalent of 60&#x2005;J&#x30FB;kg<sup>&#x2212;1</sup>&#x30FB;mM<sup>&#x2212;1</sup> (3&#x2005;ml O<sub>2</sub>&#x30FB;kg<sup>&#x2212;1</sup>&#x30FB;mM<sup>&#x2212;1</sup>) (<xref ref-type="bibr" rid="B19">19</xref>). Each energy equivalents were divided by the speed of each stage to obtain C<sub>AE</sub> and C<sub>AN</sub>. Finally, The overall roller skiing economy (E<sub>ALL</sub>) was determined by combining C<sub>AE</sub> and C<sub>AN</sub>, the formulas of which were as follows (<xref ref-type="disp-formula" rid="disp-formula1">Equations 1</xref>, <xref ref-type="disp-formula" rid="disp-formula2">2</xref>),<disp-formula id="disp-formula1"><label>(1)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM1"><mml:msub><mml:mrow><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">AE</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mspace width="thickmathspace" /><mml:mo>=</mml:mo><mml:mspace width="thickmathspace" /><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mn>20202</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>0.82</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mrow><mml:mi mathvariant="normal">RE</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">R</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">stage</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mspace width="thickmathspace" /><mml:mo>&#x00D7;</mml:mo><mml:mspace width="thickmathspace" /><mml:mn>50</mml:mn><mml:mspace width="thickmathspace" /><mml:mo>&#x00D7;</mml:mo><mml:mspace width="thickmathspace" /><mml:mn>100</mml:mn><mml:mspace width="thickmathspace" /><mml:mo>&#x00D7;</mml:mo><mml:mspace width="thickmathspace" /><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mspace width="thinmathspace" /><mml:mrow><mml:mi mathvariant="normal">stage</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">stage</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:mrow></mml:mfrac></mml:mrow><mml:mo>,</mml:mo></mml:mstyle></mml:math></disp-formula><disp-formula id="disp-formula2"><label>(2)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM2"><mml:msub><mml:mrow><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">AN</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mspace width="thickmathspace" /><mml:mo>=</mml:mo><mml:mspace width="thickmathspace" /><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mn>60</mml:mn><mml:mspace width="thickmathspace" /><mml:mo>&#x00D7;</mml:mo><mml:mspace width="thickmathspace" /><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">L</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">a</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">stage</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mrow><mml:mi mathvariant="normal">L</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">a</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">rest</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">stage</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>&#x00D7;</mml:mo><mml:mn>3</mml:mn></mml:mrow></mml:mfrac></mml:mrow><mml:mo>,</mml:mo></mml:mstyle></mml:math></disp-formula>where <sub>stage</sub> represents the value of each stage, <sub>rest</sub> represents the value before the start of the test, and V<sub>stage</sub> represents the speed of each stage.</p>
</sec>
<sec id="s3"><label>2.4</label><title>Statistical analysis</title>
<p>Means and standard deviations were calculated for each parameter in the incremental load test. The normality of each parameter was tested using the Shapiro-Wilk test. With the exception of stage 7 of spring C<sub>AE</sub>, the other parameters were shown to be normally distributed (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05). Paired t-tests were conducted to determine differences between seasons for the parameters in the incremental load test, and t-values and Cohen&#x0027;s d were calculated as effect size (ES). Furthermore, to compare the roller skiing economy (E<sub>ALL</sub>) and the contributions of aerobic and anaerobic energy systems (C<sub>AE</sub>, and C<sub>AN</sub>) at each stage between seasons, a correlated two-factor analysis of variance (ANOVA; 5 stages&#x2009;&#x00D7;&#x2009;2 seasons) was employed to test for interactions and main effects. In cases where interaction was found, a <italic>post hoc</italic> test using the Bonferroni method was conducted to assess simple main effects. For the ANOVA, <italic>F</italic>-values and partial <italic>&#x03B7;</italic> were calculated as ES. The significance level for all tests was set at 5&#x0025;. All data analyses were conducted using statistical software (SPSS 24.0 for Windows, IBM, Japan).</p>
</sec>
</sec>
<sec id="s4" sec-type="results"><label>3</label><title>Results</title>
<p>No significant differences were observed in incremental load test performance (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Performance parameters of the incremental load test.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" colspan="2"/>
<th valign="top" align="center">Spring</th>
<th valign="top" align="center">Autumn</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center"><italic>t</italic></th>
<th valign="top" align="center">ES</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM10"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula></td>
<td valign="top" align="left">(ml/kg/min)</td>
<td valign="top" align="center">64.4&#x2009;&#x00B1;&#x2009;3.2</td>
<td valign="top" align="center">64.8&#x2009;&#x00B1;&#x2009;2.0</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">&#x2212;0.35</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">La<sub>pe</sub></td>
<td valign="top" align="left">(mM)</td>
<td valign="top" align="center">17.6&#x2009;&#x00B1;&#x2009;3.0</td>
<td valign="top" align="center">15.6&#x2009;&#x00B1;&#x2009;1.9</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">1.49</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left">HR<sub>max</sub></td>
<td valign="top" align="left">(b/m)</td>
<td valign="top" align="center">192.3&#x2009;&#x00B1;&#x2009;6.8</td>
<td valign="top" align="center">190.0&#x2009;&#x00B1;&#x2009;6.8</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">1.40</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">TTE</td>
<td valign="top" align="left">(min)</td>
<td valign="top" align="center">33.7&#x2009;&#x00B1;&#x2009;1.8</td>
<td valign="top" align="center">35.3&#x2009;&#x00B1;&#x2009;2.7</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">&#x2212;1.97</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">V<sub>peak</sub></td>
<td valign="top" align="left">(km/h)</td>
<td valign="top" align="center">19.3&#x2009;&#x00B1;&#x2009;0.6</td>
<td valign="top" align="center">19.9&#x2009;&#x00B1;&#x2009;0.9</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">&#x2212;2.17</td>
<td valign="top" align="center">0.75</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>A significant main effect of the season [<italic>F</italic> (1,6)&#x2009;&#x003D;&#x2009;6.97, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.04, ES&#x2009;&#x003D;&#x2009;0.54] and stage [<italic>F</italic> (4,24)&#x2009;&#x003D;&#x2009;20.34, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, ES&#x2009;&#x003D;&#x2009;0.77] was found for E<sub>ALL</sub> (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>), with no significant interaction between the two factors [<italic>F</italic> (4,24)&#x2009;&#x003D;&#x2009;0.74, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.58, ES&#x2009;&#x003D;&#x2009;0.11]. E<sub>ALL</sub> in autumn was consistently lower than in spring across all stages. Additionally, E<sub>ALL</sub> significantly increased in stage 7 and 8 compared with stage 4 and 5 (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Changes in E<sub>ALL</sub>. Open and closed circles represent spring and autumn data, respectively. Lowercase letters indicate significant differences between stages: (a) vs. Stage 4, (b) vs. Stage 5, (c) vs. Stage 6, (d) vs. Stage 7, and (e) vs. Stage 8. &#x002A;Represents a significant difference between seasons (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-06-1320698-g001.tif"/>
</fig>
<p>A significant main effect of stage [<italic>F</italic> (1.6,9.6)&#x2009;&#x003D;&#x2009;10.53, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, ES&#x2009;&#x003D;&#x2009;0.64] was observed for C<sub>AE</sub>, with no significant interaction between the two factors [<italic>F</italic> (4,24)&#x2009;&#x003D;&#x2009;0.04, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.99, ES&#x2009;&#x003D;&#x2009;0.01]. However, no significant main effect of season was found for C<sub>AE</sub> (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Changes in C<sub>AE</sub>. Open and closed circles represent spring and autumn data, respectively.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-06-1320698-g002.tif"/>
</fig>
<p>Significant main effects of season [<italic>F</italic> (1,6)&#x2009;&#x003D;&#x2009;26.91, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, ES&#x2009;&#x003D;&#x2009;0.82] and stage [<italic>F</italic> (1.5,8.8)&#x2009;&#x003D;&#x2009;55.81, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, ES&#x2009;&#x003D;&#x2009;0.90] were observed for C<sub>AN</sub>, along with a significant interaction between the two factors [<italic>F</italic> (2.1,12.8)&#x2009;&#x003D;&#x2009;4.29, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.04, ES&#x2009;&#x003D;&#x2009;0.42] (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). C<sub>AN</sub> in autumn was consistently lower than in spring across all stages. In spring, C<sub>AN</sub> did not differ between stage 4 and 5 but significantly increased in later stages (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). In contrast, in autumn, C<sub>AN</sub> significantly increased from stage 4 to stage 7 but showed no difference between stage 7 and 8 (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Changes in C<sub>AN</sub>. Open and closed circles represent spring and autumn data, respectively. Lowercase letters indicate significant differences between stages: (a) vs. Stage 4, (b) vs. Stage 5, (c) vs. Stage 6, (d) vs. Stage 7, and (e) vs. Stage 8. &#x002A;Represents a significant difference between seasons (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-06-1320698-g003.tif"/>
</fig>
</sec>
<sec id="s5" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>The aim of this study was to examine changes in roller skiing economy among high-level NC athletes during different seasons leading up to the competition. The results revealed that E<sub>ALL</sub> decreased as the competition season approached, and this was attributed to an improvement in anaerobic energy system. These findings support the hypothesis that roller skiing economy improves as competition approaches, but we must partially reject the hypothesis that both aerobic and anaerobic factors contribute to the improvement.</p>
<p>No significant changes in physical characteristics were observed between each measurement. NC athletes must also perform SJ, and extreme changes in body composition, such as increases in body weight and fat-free mass (FFM), can negatively impact SJ performance. Additionally, there were no statistically significant changes in roller skiing performance (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>), but moderate ES was observed for La<sub>pe</sub>, TTE, and V<sub>peak</sub>. Some studies have reported improvements in performance measures, including TTE, over the competitive season, whereas aerobic capacity measures, such as <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM11"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula>, remained unchanged (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Although statistically significant changes were not observed in the present study, the trends were similar to those reported in previous studies. The small sample size may have contributed to the lack of significant changes.</p>
<p>E<sub>ALL</sub> decreased at submaximal speeds leading up to the competition season (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>), suggesting that NC athletes were able to glide more efficiently. This is consistent with findings from a previous study, in which XC athletes reported improved efficiency after three months of daily training (<xref ref-type="bibr" rid="B14">14</xref>). Considered in the context of decreasing E<sub>ALL</sub>, significant changes were observed in C<sub>AN</sub> at submaximal speeds, whereas C<sub>AE</sub> did not change at such speeds between each test. These results indicate that the change in E<sub>ALL</sub> was driven by changes in C<sub>AN</sub> rather than C<sub>AE</sub>. A previous study (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>) suggested improved anaerobic energy system as a factor contributing to enhanced endurance performance for well-trained athletes during training periods rather than aerobic energy system, which is consistent with the present findings. It is possible that the adaptation of anaerobic energy system occurs more rapidly than that of aerobic energy system.</p>
<p>C<sub>AN</sub> was calculated from blood La. Blood La is also the value resulting from its production by the glycolytic (anaerobic) system and its removal by oxidative (aerobic) system (<xref ref-type="bibr" rid="B20">20</xref>). When considering factors affecting improved skiing economy, these include changes in kinematics (e.g., cycle time and length) (<xref ref-type="bibr" rid="B21">21</xref>), muscle fiber&#x2013;type alterations, increased buffering capacity within the muscles (<xref ref-type="bibr" rid="B22">22</xref>), enhanced oxidative capacity through mitochondria (<xref ref-type="bibr" rid="B23">23</xref>), and increased capillary density (<xref ref-type="bibr" rid="B24">24</xref>). Considering that C<sub>AE</sub> and <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM12"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula> did not improve, it is likely that the ability of mitochondria and capillaries to remove blood La through relevant oxidative system was not altered. It is also difficult to assume that NC athletes undergo changes in muscle fiber-type, given that they perform endurance training for XC and power training for SJ. Importantly, as the subjects in this study were well-trained, adaptations in physiological areas may occur at a slower pace. Therefore, changes in blood La concentrations are not likely to be due to oxidative system, but to depend on the generation of the glycolytic system. The changes in kinematics are considered the most likely reason for the reduced blood La production and improved contribution of anaerobic energy system. Moreover, kinematics can be modified through short-term training, suggesting that kinematics may be the primary reason for the reduced roller skiing economy associated with C<sub>AN</sub>. Indeed, it has been reported that changing kinematics can alter the blood La (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Longer and more extensive training may be necessary to improve factors other than kinematics in the well-trained NC athletes in this study (<xref ref-type="bibr" rid="B14">14</xref>). However, NC athletes have limited time for endurance training owing to their involvement in SJ. For instance, compared to the training time and sessions of XC athletes, NC athletes only devote about 70&#x0025; of that of XC athletes to cross-country ski training (72&#x0025; of training hours and 77&#x0025; of sessions) (<xref ref-type="bibr" rid="B4">4</xref>). Hence, the lack of improvement in aerobic system was an expected outcome.</p>
<sec id="s5a"><label>4.1</label><title>Limitation</title>
<p>A limitation of this study was the small sample size (<italic>n</italic>&#x2009;&#x003D;&#x2009;7), which may have influenced the statistical results. However, it should be noted that the subjects were highly competitive athletes participating in international-level competitions, making these data valuable for the development and enhancement of NC athletes. As noted above, the blood lactate concentration used to calculate C<sub>AN</sub> is measured as the net of production and removal during exercise (<xref ref-type="bibr" rid="B20">20</xref>). The exercise of each stage in this study was submaximal intensity, not maximal intensity. The response of the oxidative system reached a steady state after 2&#x2013;3&#x2005;min, suggesting that the removal of blood La was constant. The production of blood La by the glycolytic system did not change significantly because it was also submaximal intensity. Therefore, blood lactate levels were considered stable, given that both systems were at steady state, although blood La fluctuated fluidly between production and removal. In addition, although this study focused solely on roller skiing economy, changes in economy are likely associated with kinematics and training. These aspects should be addressed in future research.</p>
</sec>
<sec id="s5b"><label>4.2</label><title>Practical application</title>
<p>This study revealed that physical characteristics and physiological indices at maximum intensity, such as <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM13"><mml:mrow><mml:mover><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:mo>&#x02D9;</mml:mo></mml:mover></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">max</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula>, La<sub>pe</sub>, and HR<sub>max</sub>, as well as roller skiing economy associated with the contribution of aerobic energy system, remained unchanged over a three-month training period. However, the contribution of the anaerobic energy system changed during the training period. To enhance the skiing economy of NC athletes, two approaches are suggested: (1) making short-term technical adjustments, such as cycle length and cycle time, to improve the anaerobic energy system, and (2) implementing long-term training to enhance factors related to metabolism and improve the aerobic energy system. It is important to tailor the strategies for improving economy based on the athletes&#x0027; level, with short-term improvements focused on elite athletes and long-term improvements aimed at developing athletes in lower categories.</p>
</sec>
</sec>
<sec id="s6" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>In NC athletes, overall roller skiing economy decreased consistently at submaximal speeds leading up to the competition season. This decline was primarily attributed to an improvement in anaerobic energy system.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s8" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by the ethics committee affiliated with the Japan Institute of Sports Sciences (2019-037). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s9" sec-type="author-contributions"><title>Author contributions</title>
<p>TY: Writing &#x2013; original draft. MN: Writing &#x2013; review &#x0026; editing. KY: Writing &#x2013; review &#x0026; editing. YI: Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s10" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article.</p>
<p>This study was conducted as a part of Science Support Programs of Japan Institute of Sports Sciences.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We would like to thank the Nordic Combined national-team athletes who participated in this study and coaches who helped this study. In addition, we sincerely thank Mr. Kenichiro Kawata for his help on data correction and analysis.</p>
</ack>
<sec id="s11" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
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<ref-list><title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>M&#x00FC;ller</surname><given-names>W</given-names></name></person-group>. <article-title>Determinants of ski-jump performance and implications for health, safety and fairness</article-title>. <source>Sports Med</source>. (<year>2009</year>) <volume>39</volume>:<fpage>85</fpage>&#x2013;<lpage>106</lpage>. <pub-id pub-id-type="doi">10.2165/00007256-200939020-00001</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Losnegard</surname><given-names>T</given-names></name></person-group>. <article-title>Energy system contribution during competitive cross-country skiing</article-title>. <source>Eur J Appl Physiol</source>. (<year>2019</year>) <volume>119</volume>:<fpage>1675</fpage>&#x2013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1007/s00421-019-04158-x</pub-id><pub-id pub-id-type="pmid">31076890</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ainegren</surname><given-names>M</given-names></name><name><surname>Carlsson</surname><given-names>P</given-names></name><name><surname>Tinnsten</surname><given-names>M</given-names></name><name><surname>Laaksonen</surname><given-names>MS</given-names></name></person-group>. <article-title>Skiing economy and efficiency in recreational and elite cross-country skiers</article-title>. <source>J Strength Cond Res</source>. (<year>2013</year>) <volume>27</volume>:<fpage>1239</fpage>&#x2013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1519/JSC.0b013e31824f206</pub-id><pub-id pub-id-type="pmid">22344058</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sandbakk</surname><given-names>&#x00D8;</given-names></name><name><surname>Rasdal</surname><given-names>V</given-names></name><name><surname>Br&#x00E5;ten</surname><given-names>S</given-names></name><name><surname>Moen</surname><given-names>F</given-names></name><name><surname>Ettema</surname><given-names>G</given-names></name></person-group>. <article-title>How do world-class Nordic combined athletes differ from specialized cross-country skiers and ski jumpers in sport-specific capacity and training characteristics?</article-title> <source>Int J Sports Physiol Perform</source>. (<year>2016</year>) <volume>11</volume>:<fpage>899</fpage>&#x2013;<lpage>906</lpage>. <pub-id pub-id-type="doi">10.1123/ijspp.2015-0285</pub-id><pub-id pub-id-type="pmid">26791774</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ingier</surname><given-names>F</given-names></name></person-group>. <article-title>Maximal oxygen uptake as a predictor of performance ability in women and men elite cross-country skiers</article-title>. <source>Scand J Med Sci Sports</source>. (<year>1991</year>) <volume>1</volume>:<fpage>25</fpage>&#x2013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.1111/j.1600-0838.1991.tb00267.x</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mahood</surname><given-names>NV</given-names></name><name><surname>Kenefick</surname><given-names>RW</given-names></name><name><surname>Kertzer</surname><given-names>R</given-names></name><name><surname>Quinn</surname><given-names>TJ</given-names></name></person-group>. <article-title>Physiological determinants of cross-country ski racing performance</article-title>. <source>Med Sci Sports Exerc</source>. (<year>2001</year>) <volume>33</volume>:<fpage>1379</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1097/00005768-200108000-00020</pub-id><pub-id pub-id-type="pmid">11474341</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sandbakk</surname><given-names>&#x00D8;</given-names></name><name><surname>Holmberg</surname><given-names>HC</given-names></name><name><surname>Leirdal</surname><given-names>S</given-names></name><name><surname>Ettema</surname><given-names>G</given-names></name></person-group>. <article-title>Metabolic rate and gross efficiency at high work rates in world class and national level sprint skiers</article-title>. <source>Eur J Appl Physiol</source>. (<year>2010</year>) <volume>109</volume>:<fpage>473</fpage>&#x2013;<lpage>81</lpage>. <pub-id pub-id-type="doi">10.1007/s00421-010-1372-3</pub-id><pub-id pub-id-type="pmid">20151149</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ingjer</surname><given-names>F</given-names></name></person-group>. <article-title>Development of maximal oxygen uptake in young elite male cross-country skiers: a longitudinal study</article-title>. <source>J Sports Sci</source>. (<year>1992</year>) <volume>10</volume>:<fpage>49</fpage>&#x2013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1080/02640419208729906</pub-id><pub-id pub-id-type="pmid">1556778</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rusko</surname><given-names>HK</given-names></name></person-group>. <article-title>Development of aerobic power in relation to age and training in cross-country skiers</article-title>. <source>Med Sci Sports Exerc</source>. (<year>1992</year>) <volume>24</volume>:<fpage>1040</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1249/00005768-199209000-00014</pub-id><pub-id pub-id-type="pmid">1406188</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kyr&#x00F6;l&#x00E4;inen</surname><given-names>H</given-names></name><name><surname>Belli</surname><given-names>A</given-names></name><name><surname>Komi</surname><given-names>PV</given-names></name></person-group>. <article-title>Biomechanical factors affecting running economy</article-title>. <source>Med Sci Sports Exerc</source>. (<year>2001</year>) <volume>33</volume>:<fpage>1330</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1097/00005768-200108000-00014</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tanji</surname><given-names>F</given-names></name><name><surname>Shirai</surname><given-names>Y</given-names></name><name><surname>Tsuji</surname><given-names>T</given-names></name><name><surname>Shimazu</surname><given-names>W</given-names></name><name><surname>Nabekura</surname><given-names>Y</given-names></name></person-group>. <article-title>Relationship between 1,500-m running performance and running economy during high intensity running well-trained distance runners</article-title>. <source>J Phys Fit Sports Med</source>. (<year>2017</year>) <volume>6</volume>:<fpage>41</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.7600/jpfsm.6.355</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pellegrini</surname><given-names>B</given-names></name><name><surname>Zoppirolli</surname><given-names>C</given-names></name><name><surname>Bortolan</surname><given-names>L</given-names></name><name><surname>Holmberg</surname><given-names>HC</given-names></name><name><surname>Zamparo</surname><given-names>P</given-names></name><name><surname>Schena</surname><given-names>F</given-names></name></person-group>. <article-title>Biomechanical and energetic determinants of technique selection in classical cross-country skiing</article-title>. <source>Hum Mov Sci</source>. (<year>2013</year>) <volume>32</volume>(<issue>6</issue>):<fpage>1415</fpage>&#x2013;<lpage>29</lpage>. <pub-id pub-id-type="doi">10.1016/j.humov.2013.07.010</pub-id><pub-id pub-id-type="pmid">24071549</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Myklebust</surname><given-names>H</given-names></name><name><surname>Losnegard</surname><given-names>T</given-names></name><name><surname>Hall&#x00E9;n</surname><given-names>J</given-names></name></person-group>. <article-title>Kinematic differences between uphill roller skiing and on-snow skiing using the V2 skating technique</article-title>. <source>Eur J Appl Physiol</source>. (<year>2022</year>) <volume>122</volume>:<fpage>2355</fpage>&#x2013;<lpage>65</lpage>. <pub-id pub-id-type="doi">10.1007/s00421-022-05007-0</pub-id><pub-id pub-id-type="pmid">35895144</pub-id></citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Losnegard</surname><given-names>T</given-names></name><name><surname>Myklebust</surname><given-names>H</given-names></name><name><surname>Spencer</surname><given-names>M</given-names></name><name><surname>Hall&#x00E9;n</surname><given-names>J</given-names></name></person-group>. <article-title>Seasonal variations in VO<sub>2</sub>max, O<sub>2</sub>-cost, O<sub>2</sub>-deficit and performance in elite cross-country skiers</article-title>. <source>J Strength Cond Res</source>. (<year>2013</year>) <volume>27</volume>:<fpage>1780</fpage>&#x2013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1519/JSC.0b013e31827368f6</pub-id><pub-id pub-id-type="pmid">22996025</pub-id></citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Polat</surname><given-names>M</given-names></name><name><surname>Korkmaz Ery&#x0131;lmaz</surname><given-names>SK</given-names></name><name><surname>Aydo&#x011F;an</surname><given-names>S</given-names></name></person-group>. <article-title>Seasonal variations in body composition, maximal oxygen uptake, and gas exchange threshold in cross-country skiers</article-title>. <source>Open Access J Sports Med</source>. (<year>2018</year>) <volume>9</volume>:<fpage>91</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.2147/OAJSM.S154630</pub-id><pub-id pub-id-type="pmid">29760574</pub-id></citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fletcher</surname><given-names>JR</given-names></name><name><surname>Esau</surname><given-names>SP</given-names></name><name><surname>MacIntosh</surname><given-names>BR</given-names></name></person-group>. <article-title>Economy of running: beyond the measurement of oxygen uptake</article-title>. <source>J Appl Physiol</source>. (<year>2009</year>) <volume>107</volume>:<fpage>1918</fpage>&#x2013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1152/japplphysiol.00307.2009</pub-id><pub-id pub-id-type="pmid">19833811</pub-id></citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Da Silva</surname><given-names>DF</given-names></name><name><surname>Sim&#x00F5;es</surname><given-names>HG</given-names></name><name><surname>Machado</surname><given-names>FA</given-names></name></person-group>. <article-title>vVO2max versus vpeak, what is the best predictor of running performances in middle-aged recreationally-trained runners?</article-title> <source>Sci Sports</source>. (<year>2015</year>) <volume>30</volume>:<fpage>e85</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1016/j.scispo.2014.10.006</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>P&#x00E9;ronnet</surname><given-names>F</given-names></name><name><surname>Massicotte</surname><given-names>D</given-names></name></person-group>. <article-title>Table of nonprotein respiratory quotient: an update</article-title>. <source>Can J Sport Sci</source>. (<year>1991</year>) <volume>16</volume>(<issue>1</issue>):<fpage>23</fpage>&#x2013;<lpage>9</lpage>.</citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Di Prampero</surname><given-names>PE</given-names></name><name><surname>Capelli</surname><given-names>C</given-names></name><name><surname>Pagliaro</surname><given-names>P</given-names></name><name><surname>Antonutto</surname><given-names>G</given-names></name><name><surname>Girardis</surname><given-names>M</given-names></name><name><surname>Zamparo</surname><given-names>P</given-names></name><etal/></person-group> <article-title>Energetics of best performances in middle-distance running</article-title>. <source>J Appl Physiol</source>. (<year>1993</year>) <volume>74</volume>(<issue>5</issue>):<fpage>2318</fpage>&#x2013;<lpage>24</lpage>. <pub-id pub-id-type="doi">10.1152/jappl.1993.74.5.2318</pub-id><pub-id pub-id-type="pmid">8335562</pub-id></citation></ref>
<ref id="B20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brooks</surname><given-names>GA</given-names></name><name><surname>Arevalo</surname><given-names>JA</given-names></name><name><surname>Osmond</surname><given-names>AD</given-names></name><name><surname>Leija</surname><given-names>RG</given-names></name><name><surname>Curl</surname><given-names>CC</given-names></name><name><surname>Tovar</surname><given-names>AP</given-names></name></person-group>. <article-title>Lactate in contemporary biology: a phoenix risen</article-title>. <source>J Physiol</source>. (<year>2022</year>) <volume>600</volume>(<issue>5</issue>):<fpage>1229</fpage>&#x2013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1113/JP280955</pub-id><pub-id pub-id-type="pmid">33566386</pub-id></citation></ref>
<ref id="B21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Williams</surname><given-names>KR</given-names></name><name><surname>Cavanagh</surname><given-names>PR</given-names></name></person-group>. <article-title>Relationship between distance running mechanics, running economy, and performance</article-title>. <source>J Appl Physiol</source>. (<year>1987</year>) <volume>63</volume>:<fpage>1236</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1152/jappl.1987.63.3.1236</pub-id><pub-id pub-id-type="pmid">3654469</pub-id></citation></ref>
<ref id="B22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gore</surname><given-names>CJ</given-names></name><name><surname>Hahn</surname><given-names>AG</given-names></name><name><surname>Aughey</surname><given-names>RJ</given-names></name><name><surname>Martin</surname><given-names>DT</given-names></name><name><surname>Ashenden</surname><given-names>MJ</given-names></name><name><surname>Clark</surname><given-names>SA</given-names></name><etal/></person-group> <article-title>Live high: train low increases muscle buffer capacity and submaximal cycling efficiency</article-title>. <source>Acta Physiol Scand</source>. (<year>2001</year>) <volume>173</volume>:<fpage>275</fpage>&#x2013;<lpage>86</lpage>. <pub-id pub-id-type="doi">10.1046/j.1365-201X.2001.00906.x</pub-id><pub-id pub-id-type="pmid">11736690</pub-id></citation></ref>
<ref id="B23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Assumpc&#x00E3;o</surname><given-names>CO</given-names></name><name><surname>Lima</surname><given-names>LC</given-names></name><name><surname>Oliveira</surname><given-names>FB</given-names></name><name><surname>Greco</surname><given-names>CC</given-names></name><name><surname>Denadai</surname><given-names>BS</given-names></name></person-group>. <article-title>Exercise-induced muscle damage and running economy in humans</article-title>. <source>The Sci World J</source>. (<year>2013</year>) <volume>2013</volume>:<fpage>189149</fpage>. <pub-id pub-id-type="doi">10.1155/2013/189149</pub-id></citation></ref>
<ref id="B24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hoppeler</surname><given-names>H</given-names></name><name><surname>Howald</surname><given-names>H</given-names></name><name><surname>Conley</surname><given-names>K</given-names></name><name><surname>Lindstedt</surname><given-names>SL</given-names></name><name><surname>Claassen</surname><given-names>H</given-names></name><name><surname>Vock</surname><given-names>P</given-names></name><etal/></person-group> <article-title>Endurance training in humans: aerobic capacity and structure of skeletal muscle</article-title>. <source>J Appl Physiol</source>. (<year>1985</year>) <volume>59</volume>:<fpage>320</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1152/jappl.1985.59.2.320</pub-id><pub-id pub-id-type="pmid">4030584</pub-id></citation></ref>
<ref id="B25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Holmberg</surname><given-names>HC</given-names></name><name><surname>Lindinger</surname><given-names>S</given-names></name><name><surname>St&#x00F6;ggl</surname><given-names>T</given-names></name><name><surname>Bj&#x00F6;rklund</surname><given-names>G</given-names></name><name><surname>M&#x00FC;ller</surname><given-names>E</given-names></name></person-group>. <article-title>Contribution of the legs to double-poling performance in elite cross-country skiers</article-title>. <source>Med Sci Sports Exerc</source>. (<year>2006</year>) <volume>38</volume>(<issue>10</issue>):<fpage>1853</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1249/01.mss.0000230121.83641.d1</pub-id><pub-id pub-id-type="pmid">17019309</pub-id></citation></ref>
<ref id="B26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lindinger</surname><given-names>SJ</given-names></name><name><surname>Holmberg</surname><given-names>HC</given-names></name></person-group>. <article-title>How do elite cross-country skiers adapt to different double poling frequencies at low to high speed?</article-title> <source>Eur J Appl Physiol</source>. (<year>2011</year>) <volume>111</volume>:<fpage>1103</fpage>&#x2013;<lpage>19</lpage>. <pub-id pub-id-type="doi">10.1007/s00421-010-1736-8</pub-id><pub-id pub-id-type="pmid">21113613</pub-id></citation></ref></ref-list>
</back>
</article>