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<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.2025.1601074</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sports and Active Living</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>High-intensity interval training modifies energy supply in male artistic gymnastics and improves floor-specific but not pommel horse-specific endurance performance</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Seemann-Sinn</surname><given-names>Alexander</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2968819/overview"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>R&#x00FC;drich</surname><given-names>Peter</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/></contrib>
<contrib contrib-type="author"><name><surname>Sandau</surname><given-names>Ingo</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2160126/overview" /><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/></contrib>
<contrib contrib-type="author"><name><surname>Naundorf</surname><given-names>Falk</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2969162/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Wolfarth</surname><given-names>Bernd</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/400178/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Sports Medicine, Humboldt University of Berlin</institution>, <addr-line>Berlin</addr-line>, <country>Germany</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Strength, Power and Technical Sports, Institute for Applied Training Science</institution>, <addr-line>Leipzig</addr-line>, <country>Germany</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Sports Medicine, Institute for Applied Training Science</institution>, <addr-line>Leipzig</addr-line>, <country>Germany</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Department of Sports Medicine, Charit&#x00E9; - Universit&#x00E4;tsmedizin Berlin, Corporate Member of Freie Universit&#x00E4;t Berlin and Humboldt-Universit&#x00E4;t zu Berlin</institution>, <addr-line>Berlin</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/44793/overview">Olivier Girard</ext-link>, University of Western Australia, Australia</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/947511/overview">Qi Han</ext-link>, National Institute of Sports Medicine, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2399652/overview">&#x0130;sa Sa&#x011F;&#x0131;ro&#x011F;lu</ext-link>, Trakya University, T&#x00FC;rkiye</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3008530/overview">Masoud Moghaddam</ext-link>, University of Maryland Eastern Shore, United States</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Bernd Wolfarth <email>bernd.wolfarth@charite.de</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>29</day><month>10</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>7</volume><elocation-id>1601074</elocation-id>
<history>
<date date-type="received"><day>27</day><month>03</month><year>2025</year></date>
<date date-type="accepted"><day>10</day><month>10</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Seemann-Sinn, R&#x00FC;drich, Sandau, Naundorf and Wolfarth.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Seemann-Sinn, R&#x00FC;drich, Sandau, Naundorf and Wolfarth</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><sec><title>Introduction</title>
<p>Well-developed specific endurance performance in artistic gymnastics is a crucial foundation of successful performance. Therefore, the identification of effective training programs for gymnastics-specific endurance performance is an important factor. This study aims to analyze the effectiveness of high-intensity interval training (HIIT) on gymnastics-specific endurance performance and changes in energy supply during floor and pommel horse routines.</p>
</sec><sec><title>Methods</title>
<p>Twenty-five male artistic gymnasts (age: 15.0&#x2009;&#x00B1;&#x2009;1.5 years; weight: 51.2&#x2009;&#x00B1;&#x2009;10.6 kg; height: 160.0&#x2009;&#x00B1;&#x2009;10.4 cm) were allocated to either the experimental (n&#x2009;&#x003D;&#x2009;14) or the control group (n&#x2009;&#x003D;&#x2009;11). For 6 weeks, the intervention group completed a HIIT two times a week, integrated into the normal gymnastics training. The control group performed normal gymnastics training, including their routine programs for physical fitness development. Floor- and pommel horse-specific endurance performance was determined by the mean jump height in a repeated jump test and by the maximum number of circles in a circle test. Energy supply on the floor and pommel horse was calculated using mobile spiroergometry and the PCr-LA-O<sub>2</sub> method.</p>
</sec><sec><title>Results</title>
<p>The gain score analysis showed a significantly greater improvement in mean jump height for the intervention group, but no significant effect for the maximum number of circles. In terms of energy supply, the intervention group showed a significantly greater increase in aerobic metabolism on the floor and pommel horse. Additional correlation analyses show relationships between physiological parameters (O<sub>2</sub> deficit and VO<sub>2</sub> kinetics) and endurance performance as well as the modification of energy supply.</p>
</sec><sec><title>Conclusion</title>
<p>The results of the study show that 6 weeks of semi-specific HIIT can improve floor-specific endurance performance and increase the aerobic metabolism during floor and pommel horse routines. Faster VO<sub>2</sub> kinetics and the associated lower O<sub>2</sub> deficit seem to be important physiological parameters for these improvements.</p>
</sec>
</abstract>
<kwd-group>
<kwd>artistic gymnastics</kwd>
<kwd>HIIT</kwd>
<kwd>gymnastic endurance</kwd>
<kwd>energy metabolism</kwd>
<kwd>VO<sub>2</sub> kinetics</kwd>
<kwd>O<sub>2</sub> deficit</kwd>
</kwd-group><contract-sponsor id="cn001">German Federal Ministry</contract-sponsor><counts>
<fig-count count="4"/>
<table-count count="5"/><equation-count count="10"/><ref-count count="50"/><page-count count="14"/><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>Top international artistic gymnastics is characterized by an ongoing increase in the level of difficulty of the routines and, as a result, an increase in the duration and intensity of the routines (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Therefore, beyond a high technical skill level, simultaneous development of well-developed gymnastics-specific muscular strength and endurance are essential to meet the increased demands of the competition (<xref ref-type="bibr" rid="B4">4</xref>). Regarding gymnastics-specific endurance, there are clear indications that the demands on the cardiorespiratory and metabolic system are higher and more complex than previously assumed (<xref ref-type="bibr" rid="B5">5</xref>). In this context, previous studies based on routine duration and blood lactate concentrations (BLC) estimated that the aerobic metabolism is utilized by 3&#x0025;&#x2013;8&#x0025; during pommel horse, still rings, and bar routines and 20&#x0025;&#x2013;30&#x0025; during floor routines (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Recent studies on the physiological and energetic demands on the floor, pommel horse, and still rings contradict these assumptions (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). According to these studies, the percentage aerobic energy supply is 23.3&#x2009;&#x00B1;&#x2009;4.1&#x0025; on pommel horse (<xref ref-type="bibr" rid="B8">8</xref>), 28.6&#x2009;&#x00B1;&#x2009;4.8&#x0025; on still rings (<xref ref-type="bibr" rid="B9">9</xref>), and 54.4&#x2009;&#x00B1;&#x2009;6.8&#x0025; on floor (<xref ref-type="bibr" rid="B10">10</xref>). These results are consistent with studies confirming a notable aerobic energy supply (between 43&#x0025; and 49&#x0025;) in other sports with similar routine durations and intensity profiles (i.e., indoor climbing, 60&#x2005;s judo matches, or rhythmic gymnastics) (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Due to these differences between the earlier estimates and recent findings, there is still no consensus regarding the specific energetic demands or the most effective training method for gymnastics-specific endurance performance. While some authors do not attribute any importance to aerobic metabolism (<xref ref-type="bibr" rid="B6">6</xref>), other authors point out that aerobic performance training should not be neglected (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Currently, training regimes to improve the gymnastics-specific endurance performance focused either on strength training to improve maximal strength capabilities (<xref ref-type="bibr" rid="B17">17</xref>), or on high-intensity interval training (HIIT) to increase the endurance capabilities (i.e., VO<sub>2max</sub>, muscle endurance) (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). However, it is currently unclear whether HIIT improves specific endurance performance in artistic gymnastics and which physiological factors are important for achieving this kind of improvement.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Graphical presentation of a subject performing the floor routine (top left), the pommel horse routine (top right), the maximum circle test (below left) and the repeated jump test (below right).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1601074-g001.tif"><alt-text content-type="machine-generated">A collage of four images shows an athlete performing gymnastic routines and gymnastics-specific endurance tests. Top left: executing a backflip. Top right: balancing on a pommel horse with one leg extended. Bottom left: in a side support on a pommel horse. Bottom right: jumping off a trampoline with arms extended.</alt-text>
</graphic>
</fig>
<p>As mentioned previously, aerobic metabolism plays a significant role in the energy supply in artistic gymnastics. An improvement in aerobic performance can lead to a modification in energy supply and thus create an energetic power reserve at a given routine load. Increasing the proportion of aerobic metabolism could potentially save the limited high-energy creatine phosphate (PCr) and reduces lactate and H<sup>&#x002B;</sup> production and the breakdown of muscle glycogen (<xref ref-type="bibr" rid="B22">22</xref>). Reduced lactate and H<sup>&#x002B;</sup> production minimizes the reduction in muscle pH and thus the energetic factors of muscular fatigue caused by anaerobic lactacid metabolism, as the reduction in muscle pH interferes with biochemical and physiological processes (<xref ref-type="bibr" rid="B23">23</xref>). To achieve an increase in the aerobic metabolic rate, it is important to speed up the aerobic metabolism, which is determined by the oxygen uptake (VO<sub>2</sub>) kinetics (<xref ref-type="bibr" rid="B24">24</xref>). Faster VO<sub>2</sub> kinetics means a smaller O<sub>2</sub> deficit and therefore less PCr depletion and less production of lactate and H<sup>&#x002B;</sup> by the anaerobic lactic metabolism, which is associated with an increase in exercise tolerance (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The rate of VO<sub>2</sub> kinetics is mainly limited by the intramuscular part (enzyme activity and content and mitochondrial volume and content) of VO<sub>2</sub> (<xref ref-type="bibr" rid="B25">25</xref>). Notably, HIIT appears to be an effective method of speeding up VO<sub>2</sub> kinetics (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Studies have shown a 17&#x0025;&#x2013;34&#x0025; reduction in the time constant (<italic>&#x03C4;</italic><sub>1</sub>) of VO<sub>2</sub> kinetics during moderate and heavy exercise for both upper and lower body exercise (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). However, it is unclear how HIIT influences VO<sub>2</sub> kinetics during gymnastic specific endurance tests and whether these effects can be transferred to achieve the desired modification of energy supply during artistic gymnastic routines.</p>
<p>The aim of the study was therefore to analyze the effectiveness of HIIT on gymnastics-specific endurance performance and the change in energy supply using floor and pommel horse routines as examples. Based on the theoretical positions, it was hypothesized (H1) that HIIT integrated into gymnastics training would lead to a greater improvement in performance in gymnastics-specific endurance tests compared to normal gymnastics training. The second hypothesis (H2) was that HIIT integrated into gymnastics training would lead to a greater increase in the relative aerobic energy component and a greater reduction in the anaerobic energy component of gymnastics routines on the floor and pommel horse compared to normal gymnastics training. In order to examine the possible factors of the effectiveness of HIIT, it was examined whether there are correlations between physiological factors (e.g., O<sub>2</sub> deficit) and an improvement in endurance performance. In this context, it was hypothesized (H3) that the O<sub>2</sub> deficit correlates with the performance parameters in the gymnastics-specific endurance tests. The final hypothesis (H4) tested was that the O<sub>2</sub> deficit correlates with the aerobic and anaerobic energy contribution of the floor and pommel horse routines.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<sec id="s2a"><label>2.1</label><title>Experimental approach</title>
<p>This intervention study uses a nonrandomized controlled trial with a pre&#x2013;post design. Data collection was conducted during the artistic gymnasts&#x2019; preseason training periods (September&#x2013;October and January&#x2013;March), when training focuses on the development of physical fitness. Over a period of 6 weeks, the intervention group completed a HIIT, which was integrated into the normal gymnastics training, while the control group performed normal gymnastics training including their previously used programs for physical fitness development. The training duration (min per week) of the two groups was kept the same, as the time needed for HIIT was reduced from the normal gymnastics training of the HIIT group. One week before and two weeks after the intervention, the pre-test and post-test were scheduled.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Subjects</title>
<p>Twenty-five male artistic gymnasts (age: 15.0&#x2009;&#x00B1;&#x2009;1.5 years; weight: 51.2&#x2009;&#x00B1;&#x2009;10.6&#x2005;kg; height 160.0&#x2009;&#x00B1;&#x2009;10.4&#x2005;cm) were recruited for this study. Due to different training locations, the athletes were not randomly assigned to a group; instead, the groups were divided according to the respective training location. The intervention group included 14 gymnasts (age: 14.4&#x2009;&#x00B1;&#x2009;1.3 years; weight: 47.9&#x2009;&#x00B1;&#x2009;9.2&#x2005;kg; height: 157.4&#x2009;&#x00B1;&#x2009;10.2&#x2005;cm) and the control group 11 gymnasts (age: 15.8&#x2009;&#x00B1;&#x2009;1.4 years; weight: 55.5&#x2009;&#x00B1;&#x2009;11.2&#x2005;kg; height: 163.3&#x2009;&#x00B1;&#x2009;10.2&#x2005;cm). The inclusion criteria for the athletes were: 1) healthy male artistic gymnasts, 2) age between 13 and 18 years, 3) membership of a regional or national squad, and 4) start of competitive gymnastics training at &#x2264;6 years of age. The weekly training time of the athletes was &#x2265;20.0&#x2005;h. Prior to the study, the coaches and athletes were informed about the procedure and possible risks of the study. All athletes or their parents signed an informed consent before the start of the study. The experimental protocol was approved by the Ethics Committee of the Faculty of Cultural, Social and Educational Sciences at Humboldt-Universit&#x00E4;t of Berlin (HU-KSBF-EK_2022_0021) and was conducted in accordance with the Declaration of Helsinki.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Tests and measurements</title>
<sec id="s2c1"><label>2.3.1</label><title>Pre- and post-tests</title>
<p>The pre- and post-tests consisted of two gymnastics-specific endurance tests and a gymnastics routine each on floor and pommel horse. These tests were performed on two consecutive days, with two tests per day. A 90-s repeated jump test (RJT) and a maximum circle test (CT) were used for the floor-specific and pommel horse-specific endurance performance, respectively (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<p>The CT is a classical endurance test in gymnastics that determines the maximum number of circles (<italic>C</italic><sub>max</sub>). Depending on the gymnasts&#x2019; abilities, the CT was performed on pommel horse or competition mushroom. Gymnasts who performed the pre-test on the mushroom also performed the post-test on the mushroom. For the RJT, a 12&#x2009;&#x00D7;&#x2009;12&#x2005;m competition floor (Moscow, Spieth Gymnastics, Altbach, Germany) was used. The jump height was continuously recorded during the RJT using a girder bridge construction (<xref ref-type="bibr" rid="B29">29</xref>) with a light barrier system (Optojump Next, Microgate Srl, Bolzano, Italy). Taking into account the height of the light barrier system above the floor, the exported ground and flight times were corrected accordingly. To make the RJT as specific to gymnastics as possible, the artistic gymnasts were instructed to jump as high as possible on each jump, but with a short contact time and free use of the arms (<xref ref-type="bibr" rid="B30">30</xref>). The floor routine was performed on a 12&#x2009;&#x00D7;&#x2009;12&#x2005;m competition floor (Moscow, Spieth Gymnastics, Altbach, Germany) and consisted of 10 acrobatic lines and one non-acrobatic element. In accordance with the characteristics of the sport, each gymnast performed individual acrobatic lines and non-acrobatic elements, which were identical in the pre- and post-test. The pommel horse routine consisted of 4 stations where different elements were performed. The stations involved were: a) 2 times front and back crossover travel with circles on the pommel horse without pommels, b) 20&#x2013;30 times circles on the pommel horse or mushroom, c) 10 times scissors left and right, and 4) 20&#x2013;30 times circles on the pommel horse or mushroom. Depending on the performance level, a different number of circles were completed at stations b and d, which, however, were identical in the pre- and post-test. Between the individual stations, the gymnasts left the apparatus briefly to move on to the next station. The execution of the floor and pommel horse routines were not evaluated, but the gymnasts were instructed to perform their routine in good quality. All four tests (including the pre- and post-load phases) were video-recorded (GC-PX100, JVCKENWOOD GmbH, Bad Vilbel, Germany) to determine the exact start and end as well as the difficulty score for the floor routine and the number of circles.</p>
</sec>
<sec id="s2c2"><label>2.3.2</label><title>Measurement of physiological data</title>
<p>During the RJT and CT, as well as the floor and pommel horse routines, breath-by-breath oxygen consumption (VO<sub>2</sub>) and heart rate (HR) were recorded using a portable telemetric spiroergometry system (VO2 Master, VO2 Master Health Sensors Inc, Vernon, Canada) coupled with an HR sensor (H9, Polar Electro Oy, Kempele, Finland). Prior to all tests, the spiroergometry system was calibrated with room air and a defined air volume of 3&#x2005;L in accordance with the manufacturer&#x0027;s instructions. In the run-up to the study, the VO2 Master spiroergometry system was proofed to be valid (MPE 6.7&#x0025; for VO<sub>2</sub> and 7.6&#x0025; for VE), reliable (SEM between 3.8 and 7.7&#x0025; for VO<sub>2</sub> parameters), and practically suitable in gymnastic-specific short-term exercise (e.g., circle test) (<xref ref-type="bibr" rid="B31">31</xref>). Before the start of the tests, the gymnasts had sufficient time to practice and become accustomed wearing the spiroergometry equipment. After the familiarization phase, a short rest phase was implemented to restore the resting level of the physiological parameters. Between the rest period and the start of the test, there was a 1-min pre-start phase, during which HR, VO<sub>2</sub>, and pre-start lactate were taken, and the video recording was started. VO<sub>2</sub> and HR were measured during the 1-min pre-start phase, the test and the 8-min post-load phase. Due to the conditions in the gyms, the gymnasts had to walk a short distance after the test (walking phase) to sit on a chair. This walking phase lasted approximately 10&#x2005;s and was considered in the calculation of the energy supply due to the different physiological conditions (<xref ref-type="bibr" rid="B32">32</xref>). To determine the blood lactate concentration (BLC), 20&#x2005;&#x03BC;l of capillary blood was taken from the hyperemic earlobe using an end-to-end glass capillary in the pre-start phase, immediately after the end of the test and in the 1st, 3rd, 5th and 7th&#x2005;min of post-exercise. The capillary blood was then analyzed with a blood analyzer (SuperGl, Dr. M&#x00FC;ller Ger&#x00E4;tebau, Freital, Germany) to determine the BLC. 30&#x2005;s after the end of the tests, the subjects had to report their subjective perception of exertion (RPE) using the 6&#x2013;20 Borg scale (<xref ref-type="bibr" rid="B33">33</xref>).</p>
</sec>
</sec>
<sec id="s2d"><label>2.4</label><title>Data analysis</title>
<p>To improve the underlying characteristics of the VO<sub>2</sub> and HR data, occasional erroneous breaths caused by swallowing, coughing, sighing, etc. were manually eliminated, and the VO<sub>2</sub> and HR data were then interpolated to 1-second values using the cubic spline method (OriginPro 8.0, Origin Laboratory Corp). The peak HR and peak VO<sub>2</sub> of the floor and pommel horse routines were defined as the mean value of the last 5&#x2005;s of the routines, the mean HR and mean VO<sub>2</sub> as the mean value over the entire routine. The maximum number of circles in the CT were determined by manual counting. The parameters of the RJT were defined as follows:
<list list-type="simple">
<list-item><label>-</label>
<p>Peak jump height (Jump<sub>peak</sub>)&#x2009;&#x003D;&#x2009;Highest value of the jump height over the entire 90&#x2005;s</p></list-item>
<list-item><label>-</label>
<p>Mean jump height (Jump<sub>mean</sub>)&#x2009;&#x003D;&#x2009;Average jump height over the entire 90&#x2005;s</p></list-item>
<list-item><label>-</label>
<p>Jump height between 0 and 10&#x2005;s (Jump<sub>10</sub>)&#x2009;&#x003D;&#x2009;Average jump height over the first 10&#x2005;s</p></list-item>
<list-item><label>-</label>
<p>Jump height between 80 and 90&#x2005;s (Jump<sub>90</sub>)&#x2009;&#x003D;&#x2009;Average jump height over the last 10&#x2005;s</p></list-item>
</list>The determination of the O<sub>2</sub> deficit in the RJT and CT is based on Bearden and Moffatt (<xref ref-type="bibr" rid="B34">34</xref>) by monoexponentially curve fitting of the filtered VO<sub>2</sub> data using non-linear least squares (OriginPro 8.0, Origin Laboratory Corp) (<xref ref-type="disp-formula" rid="disp-formula1">Equation&#x00A0;1</xref>):<disp-formula id="disp-formula1"><label>(1)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM1"><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></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">rest</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>A</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mo>&#x00D7;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>t</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>T</mml:mi><mml:mi>D</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mrow><mml:msub><mml:mi>&#x03C4;</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:mrow></mml:mrow></mml:mrow></mml:msup><mml:mo stretchy="false">)</mml:mo></mml:math></disp-formula>where VO<sub>2</sub> (<italic>t</italic>) is the VO<sub>2</sub> at any time (<italic>t</italic>), VO<sub>2rest</sub> is the VO<sub>2</sub> resting value before exercise, <italic>A</italic><sub>1</sub> is the increase in VO<sub>2</sub> above the resting value, <italic>&#x03C4;</italic><sub>1</sub> is the time constant (defined as the time required for VO<sub>2</sub> to increase to a value equal to 63&#x0025; of <italic>A</italic><sub>1</sub>), and TD is the time delay. Curve fitting was conducted from the start of exercise to the end of exercise, with the first 20&#x2005;s of VO<sub>2</sub> data after the start of exercise (i.e., the phase I response) being removed (<xref ref-type="bibr" rid="B22">22</xref>). Since a different load time could occur between the pre-test and post-test in the CT due to an increase/reduction of the maximum number of circles the data in both tests was adjusted to the shorter load time. VO<sub>2rest</sub> was calculated with the Benedict-Harris formula (<xref ref-type="bibr" rid="B35">35</xref>). Using the curve model, the O<sub>2</sub> deficit was then calculated as (<xref ref-type="disp-formula" rid="disp-formula2">Equation&#x00A0;2</xref>) (<xref ref-type="bibr" rid="B34">34</xref>):<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">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">DEF</mml:mi><mml:mspace width="thickmathspace" /></mml:mrow></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mrow><mml:mi mathvariant="normal">load</mml:mi></mml:mrow><mml:mspace width="thickmathspace" /><mml:mrow><mml:mi mathvariant="normal">time</mml:mi></mml:mrow><mml:mo>&#x00D7;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></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">rest</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>A</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x2212;</mml:mo><mml:msubsup><mml:mo>&#x222B;</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">Start</mml:mi></mml:mrow></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">End</mml:mi></mml:mrow></mml:mrow></mml:msubsup><mml:mrow><mml:mrow><mml:mi mathvariant="normal">equation</mml:mi></mml:mrow><mml:mn>1</mml:mn><mml:mspace width="thickmathspace" /><mml:mi>d</mml:mi><mml:mi>f</mml:mi></mml:mrow></mml:math></disp-formula>Energy supply for the floor and pommel horse routines was calculated using the PCr-LA-O<sub>2</sub> method (<xref ref-type="bibr" rid="B36">36</xref>). <italic>W</italic><sub>AER</sub> was calculated from the VO<sub>2</sub> over the resting metabolic rate and the caloric equivalent as follows (<xref ref-type="disp-formula" rid="disp-formula3">Equation&#x00A0;3</xref>):<disp-formula id="disp-formula3"><label>(3)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM3"><mml:mtable columnalign="right left" rowspacing=".5em" columnspacing="thickmathspace" displaystyle="true"><mml:mtr><mml:mtd><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">AER</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mrow><mml:mo stretchy="false">[</mml:mo><mml:mi mathvariant="normal">kJ</mml:mi><mml:mo stretchy="false">]</mml:mo></mml:mrow><mml:mo>=</mml:mo><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:mi mathvariant="normal">ml</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x00D7;</mml:mo><mml:mi mathvariant="normal">caloric</mml:mi></mml:mrow><mml:mspace width="thickmathspace" /><mml:mrow><mml:mi mathvariant="normal">equivalent</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">J</mml:mi><mml:mo>&#x00D7;</mml:mo><mml:mi mathvariant="normal">m</mml:mi></mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">l</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mo>&#x2212;</mml:mo></mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msup><mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x00D7;</mml:mo><mml:mn>1</mml:mn><mml:mo>,</mml:mo><mml:mn>00</mml:mn></mml:mrow><mml:msup><mml:mn>0</mml:mn><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>VO<sub>2</sub> above resting metabolic rate was determined as the area under the curve of actual VO<sub>2</sub> minus resting metabolic rate. Resting metabolic rate (VO<sub>2rest</sub>) was calculated using the Benedict-Harris formula (<xref ref-type="bibr" rid="B35">35</xref>) to exclude the influence of sympathetic arousal. The required caloric equivalent was defined as 20.9&#x2005;J&#x00B7;ml<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B37">37</xref>). <italic>W</italic><sub>BLC</sub> was calculated from the highest change in BLC (&#x0394;BLC), the oxygen-lactate equivalent of 3.0&#x2005;ml-O<sub>2</sub>&#x00B7;kg<sup>&#x2212;1</sup>&#x00B7;mmol<sup>&#x2212;1</sup>&#x00B7;L<sup>&#x2212;1</sup> and body weight (<xref ref-type="disp-formula" rid="disp-formula4">Equation&#x00A0;4</xref>):<disp-formula id="disp-formula4"><label>(4)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM4"><mml:mtable columnalign="right left" rowspacing=".5em" columnspacing="thickmathspace" displaystyle="true"><mml:mtr><mml:mtd><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">BLC</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mrow><mml:mo stretchy="false">[</mml:mo><mml:mi mathvariant="normal">kJ</mml:mi><mml:mo stretchy="false">]</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mo>=</mml:mo><mml:mrow><mml:mi mathvariant="normal">&#x0394;</mml:mi><mml:mi mathvariant="normal">BLC</mml:mi><mml:mo>&#x00D7;</mml:mo><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn>.0</mml:mn><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">ml</mml:mi><mml:mo>&#x00D7;</mml:mo></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:mspace width="thickmathspace" /><mml:mo>&#x00D7;</mml:mo><mml:mspace width="thickmathspace" /><mml:mi mathvariant="normal">k</mml:mi></mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">g</mml:mi></mml:mrow><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup><mml:mrow><mml:mspace width="thickmathspace" /><mml:mo>&#x00D7;</mml:mo></mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">L</mml:mi></mml:mrow><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup><mml:mrow><mml:mspace width="thickmathspace" /><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd /><mml:mtd><mml:mspace width="1em" /><mml:mrow><mml:mo>&#x00D7;</mml:mo><mml:mi>c</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:mi>i</mml:mi><mml:mi>c</mml:mi></mml:mrow><mml:mspace width="thickmathspace" /><mml:mrow><mml:mi mathvariant="normal">equivalent</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">J</mml:mi><mml:mo>&#x00D7;</mml:mo><mml:mi mathvariant="normal">m</mml:mi></mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">l</mml:mi></mml:mrow><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup><mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x00D7;</mml:mo><mml:mn>1</mml:mn><mml:mo>,</mml:mo><mml:mn>00</mml:mn></mml:mrow><mml:msup><mml:mn>0</mml:mn><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula><italic>W</italic><sub>PCr</sub> was calculated based on the fast component of post-exercise oxygen uptake (VO<sub>2PCr</sub>) and determined using a biexponential curve fit of excessive post exercise oxygen consumption (EPOC) (<xref ref-type="disp-formula" rid="disp-formula5">Equation&#x00A0;5</xref>):<disp-formula id="disp-formula5"><label>(5)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM5"><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mi mathvariant="normal">EPOC</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mrow><mml:mo stretchy="false">[</mml:mo><mml:mi mathvariant="normal">t</mml:mi><mml:mo stretchy="false">]</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:msub><mml:mi>A</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mo>&#x00D7;</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>t</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>T</mml:mi><mml:mi>D</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:msub><mml:mi>&#x03C4;</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:mrow></mml:msup><mml:mo>+</mml:mo><mml:msub><mml:mi>A</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x00D7;</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>t</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>T</mml:mi><mml:mi>D</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:msub><mml:mi>&#x03C4;</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:msup><mml:mo>+</mml:mo><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></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">rest</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></disp-formula>where VO<sub>2</sub> (<italic>t</italic>) is the VO<sub>2</sub> at time t, VO<sub>2rest</sub> is the VO<sub>2</sub> of the resting metabolism, A<sub>1</sub> and A<sub>2</sub> are the amplitude of the fast and slow components, <italic>&#x03C4;</italic><sub>1</sub> and <italic>&#x03C4;</italic><sub>2</sub> are the associated time constants, and TD is a time delay. To account for the above-mentioned walking phase (end of exercise&#x2014;sitting chair), VO<sub>2PCr</sub> (first term of <xref ref-type="disp-formula" rid="disp-formula5">Equation&#x00A0;5</xref>) was divided into 2 phases. This was done because the resynthesis of creatine phosphate (PCr) can be reduced up to 20&#x0025; during the walking phase (<xref ref-type="bibr" rid="B32">32</xref>). The split time was defined as the end of the walking phase (<italic>t</italic>1) and determined manually from the video recordings. The VO<sub>2</sub> of phase 1 (<italic>P</italic>1) was calculated using the integral reduced by 20&#x0025; and the VO<sub>2</sub> of phase 2 (<italic>P</italic>2) was then determined using the integral from <italic>t</italic>1 to the end of the fast component (<italic>t</italic>2) (<xref ref-type="disp-formula" rid="disp-formula6">Equations&#x00A0;6</xref>, <xref ref-type="disp-formula" rid="disp-formula7">7</xref>):<disp-formula id="disp-formula6"><label>(6)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM6"><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mi>P</mml:mi><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mspace width="thickmathspace" /><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:mn>0.8</mml:mn><mml:mo>&#x00D7;</mml:mo><mml:mspace width="thickmathspace" /><mml:msubsup><mml:mo>&#x222B;</mml:mo><mml:mn>0</mml:mn><mml:mrow><mml:mi>t</mml:mi><mml:mn>1</mml:mn></mml:mrow></mml:msubsup><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mi>a</mml:mi></mml:mrow></mml:msub><mml:mo>&#x00D7;</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>T</mml:mi><mml:mi>D</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:msub><mml:mi>&#x03C4;</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:mrow></mml:msup></mml:mrow></mml:math></disp-formula><disp-formula id="disp-formula7"><label>(7)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM7"><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mi>P</mml:mi><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mspace width="thickmathspace" /><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:mspace width="thickmathspace" /><mml:msubsup><mml:mo>&#x222B;</mml:mo><mml:mrow><mml:mi>t</mml:mi><mml:mn>1</mml:mn></mml:mrow><mml:mrow><mml:mi>t</mml:mi><mml:mn>2</mml:mn></mml:mrow></mml:msubsup><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mi>a</mml:mi></mml:mrow></mml:msub><mml:mo>&#x00D7;</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>T</mml:mi><mml:mi>D</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:msub><mml:mi>&#x03C4;</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:mrow></mml:msup></mml:mrow></mml:math></disp-formula>Finally, W<sub>PCr</sub> was calculated from the sum of phase 1 and phase 2 multiplied by the caloric equivalent (<xref ref-type="disp-formula" rid="disp-formula8">Equation&#x00A0;8</xref>):<disp-formula id="disp-formula8"><label>(8)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM8"><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">PCr</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">kJ</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mi>P</mml:mi><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">ml</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>+</mml:mo><mml:mrow><mml:mi mathvariant="normal">V</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mi>P</mml:mi><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">ml</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x00D7;</mml:mo><mml:mrow><mml:mi mathvariant="normal">caloric</mml:mi></mml:mrow><mml:mspace width="thickmathspace" /><mml:mrow><mml:mi mathvariant="normal">equivalent</mml:mi></mml:mrow><mml:mspace width="thickmathspace" /><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">J</mml:mi></mml:mrow><mml:mo>&#x00D7;</mml:mo><mml:mrow><mml:mi mathvariant="normal">m</mml:mi></mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">l</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mo>&#x2212;</mml:mo></mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x00D7;</mml:mo><mml:mn>1</mml:mn><mml:mo>,</mml:mo><mml:msup><mml:mn>000</mml:mn><mml:mrow><mml:mrow><mml:mo>&#x2212;</mml:mo></mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:math></disp-formula>The total energy (<italic>W</italic><sub>TOTAL</sub>) was finally calculated as the sum of the contributions of the individual energy systems (<xref ref-type="disp-formula" rid="disp-formula9">Equation&#x00A0;9</xref>) and the anaerobic energy contribution (<italic>W</italic><sub>ANAER</sub>) as the sum of <italic>W</italic><sub>BLC</sub> and <italic>W</italic><sub>PCr</sub> (<xref ref-type="disp-formula" rid="disp-formula10">Equation&#x00A0;10</xref>):<disp-formula id="disp-formula9"><label>(9)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM9"><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">TOTAL</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo stretchy="false">[</mml:mo><mml:mrow><mml:mi mathvariant="normal">kJ</mml:mi></mml:mrow><mml:mo stretchy="false">]</mml:mo><mml:mo>=</mml:mo><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">AER</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">BLC</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">PCr</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></disp-formula><disp-formula id="disp-formula10"><label>(10)</label><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM10"><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">ANAER</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo stretchy="false">[</mml:mo><mml:mrow><mml:mi mathvariant="normal">kJ</mml:mi></mml:mrow><mml:mo stretchy="false">]</mml:mo><mml:mo>=</mml:mo><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">BLC</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>W</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">PCr</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></disp-formula>All energy shares were calculated in kJ and are presented in relative (&#x0025; of <italic>W</italic><sub>TOTAL</sub>) numbers</p>
</sec>
<sec id="s2e"><label>2.5</label><title>High intensity interval training</title>
<p>Two HIIT sessions took place per week with a time interval of at least two days between the sessions. The HIIT consisted of two sets with a 5-min passive recovery between the sets. For each set, eight exercise intervals with an exercise duration of 60&#x2005;s and a passive recovery of 60&#x2005;s were performed. The exercise intensity was set at 90&#x0025; of the gymnasts&#x2019; individual maximum heart rate (HR<sub>max</sub>), which was determined using the Fox formula (<xref ref-type="bibr" rid="B38">38</xref>). The heart rate sensor (H9, Polar Electro Oy, Kempele, Finland) and the &#x201C;Polar Team&#x201D; application on a tablet (iPad 6, Apple, Cupertino, USA), which displays the heart rate data in real-time, were used to monitor the exercise intensity during HIIT. Four upper and four lower body exercises were selected for the HIIT, which were performed two times in each set (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). The duration of each exercise was 30&#x2005;s, allowing two exercises (one exercise set) to be performed in one exercise interval. The exercises were selected based on the following criteria: a) high equivalence to the load profile of the pommel horse and floor b) achievement of the corresponding load intensity.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Interval structure and exercise description of the high intensity interval training.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Interval structure per set</th>
<th valign="top" align="center">Exercise block</th>
<th valign="top" align="center">Exercise description</th>
<th valign="top" align="center">body section</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center" rowspan="8">Two sets with 5-min passive recovery</td>
<td valign="top" align="center" rowspan="8">8&#x2009;&#x00D7;&#x2009;60 (30&#x2009;&#x002B;&#x2009;30) seconds work per exercise block&#x002B;60&#x2005;s rest between the exercise blocks</td>
<td valign="top" align="center" rowspan="2">1.</td>
<td valign="top" align="left">12-meter push gymnastic block (2,0&#x2005;m&#x2009;&#x00D7;&#x2009;1,0&#x2005;m&#x2009;&#x00D7;&#x2009;1,0&#x2005;m; 52&#x2005;kg)</td>
<td valign="middle" align="center" rowspan="4">Lower body</td>
</tr>
<tr>
<td valign="top" align="left">Alternating foot jumps on a 40&#x2005;cm gymnastic box</td>
</tr>
<tr>
<td valign="top" align="center" rowspan="2">2.</td>
<td valign="top" align="left">Two-legged obstacle jumping on the floor</td>
</tr>
<tr>
<td valign="top" align="left">12-m sprints</td>
</tr>
<tr>
<td valign="top" align="center" rowspan="2">3.</td>
<td valign="top" align="left">Battle Rope with alternate beating of the arms</td>
<td valign="middle" align="center" rowspan="4">Upper body</td>
</tr>
<tr>
<td valign="top" align="left">Push-ups</td>
</tr>
<tr>
<td valign="top" align="center" rowspan="2">4</td>
<td valign="top" align="left">Kettlebell Swing</td>
</tr>
<tr>
<td valign="top" align="left">Back push-up with hands on a 40&#x2005;cm gymnastic box</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2f"><label>2.6</label><title>Statistical analysis</title>
<p>Descriptive statistics were performed and the data are presented as median [Interquartile range (IQR)]. The gain score method was used to test for significant differences between the groups. The gain is the difference between the post- and the pre-test results (<xref ref-type="bibr" rid="B39">39</xref>). Normal distribution and homogeneity of variance of the gains were assessed using the Shapiro&#x2013;Wilk test and the Levene test and could not be confirmed. Therefore, the data were then analyzed for differences in the central tendencies using one-sided Mann&#x2013;Whitney <italic>U</italic> tests. The one-sided Mann&#x2013;Whitney <italic>U</italic> test was conducted on the basis of the directional hypotheses that the intervention group achieved a greater improvement in the relevant parameters compared to the control group. Before interpreting the results of the Mann&#x2013;Whitney <italic>U</italic> test, the distribution in the groups was analyzed for all parameters using the Kolmogorov&#x2013;Smirnov test and no different distribution was found. The effect size (Pearson <italic>r</italic>) was used to categorize the significance of the results, evaluated as trivial (0&#x2013;0.09), small (0.10&#x2013;0.29), medium (0.30&#x2013;0.49) and large (&#x2265; 0.50) (<xref ref-type="bibr" rid="B40">40</xref>). In addition, the 95&#x0025; confidence interval of Pearson r was calculated. Spearman&#x0027;s Rho was used to analyze the statistical correlations between the gains of the parameters. Statistical analyses were performed using Excel 2016 (Microsoft, Redmond, USA), Jamovi [version 2.3]) and RStudio [version 4.4.0]. The level of statistical significance was set at 5&#x0025; (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) for all analyses.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<p><xref ref-type="table" rid="T2">Tables&#x00A0;2</xref>, <xref ref-type="table" rid="T3">3</xref> show the results of the RJT and CT. The integrated HIIT in the normal gymnastics training led to a significantly greater improvement in Jump<sub>mean</sub> (<italic>Z</italic>&#x2009;&#x003D;&#x2009;17.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.011; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.511) and Jump<sub>90</sub> (<italic>Z</italic>&#x2009;&#x003D;&#x2009;13.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.005; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.587) in the RJT. In addition, the intervention group showed a significantly greater reduction in the O<sub>2</sub> deficit (<italic>Z</italic>&#x2009;&#x003D;&#x2009;10.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.002; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.644), <italic>&#x03C4;</italic><sub>1</sub> (<italic>Z</italic>&#x2009;&#x003D;&#x2009;11.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.002; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.625), and delta lactate (<italic>Z</italic>&#x2009;&#x003D;&#x2009;23.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.045; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.399) in the RJT (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). In the CT no significant difference was found between the groups for these parameters (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>). There was also no significantly greater improvement in <italic>C</italic><sub>max</sub> (<italic>Z</italic>&#x2009;&#x003D;&#x2009;48.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.575; <italic>r</italic>&#x2009;&#x003D;&#x2009;0.197) with the integrated HIIT compared to normal gymnastics training (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Statistical parameters in the performance and physiological parameters of the intervention (HIIT) and control group (CON) in the repeated jump test.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Parameters</th>
<th valign="top" align="center" colspan="3">HIIT</th>
<th valign="top" align="center" colspan="3">CON</th>
<th valign="top" align="center" rowspan="2">Significance</th>
<th valign="top" align="center" rowspan="2">Effect size</th>
<th valign="top" align="center" rowspan="2">CI 95&#x0025;</th>
</tr>
<tr>
<th valign="top" align="center">Pre</th>
<th valign="top" align="center">Post</th>
<th valign="top" align="center">difference</th>
<th valign="top" align="center">Pre</th>
<th valign="top" align="center">Post</th>
<th valign="top" align="center">difference</th>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Median [IQR]</th>
<th valign="top" align="center" colspan="3">Median [IQR]</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">Pearson r</th>
<th valign="top" align="center">Lower upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Jump<sub>peak</sub> [cm]</td>
<td valign="top" align="center">45.0</td>
<td valign="top" align="center">47.3</td>
<td valign="top" align="center">2.58</td>
<td valign="top" align="center">47.0</td>
<td valign="top" align="center">50.3</td>
<td valign="top" align="center">0.335</td>
<td valign="top" align="center" rowspan="2">0.300</td>
<td valign="top" align="center" rowspan="2">0.133 Small</td>
<td valign="top" align="center">&#x2212;0.369</td>
</tr>
<tr>
<td valign="top" align="center">[12.6]</td>
<td valign="top" align="center">[8.12]</td>
<td valign="top" align="center">[5.58]</td>
<td valign="top" align="center">[6.94]</td>
<td valign="top" align="center">[6.47]</td>
<td valign="top" align="center">[1.16]</td>
<td valign="top" align="center">0.571</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Jump<sub>mean</sub> [cm]</td>
<td valign="top" align="center">33.4</td>
<td valign="top" align="center">39.2</td>
<td valign="top" align="center">2.51</td>
<td valign="top" align="center">39.7</td>
<td valign="top" align="center">38.9</td>
<td valign="top" align="center">&#x2212;0.20</td>
<td valign="top" align="center" rowspan="2">0.013<xref ref-type="table-fn" rid="table-fn2">&#x002A;</xref></td>
<td valign="top" align="center">0.511</td>
<td valign="top" align="center">0.098</td>
</tr>
<tr>
<td valign="top" align="center">[8.91]</td>
<td valign="top" align="center">[6.21]</td>
<td valign="top" align="center">[3.43]</td>
<td valign="top" align="center">[4.90]</td>
<td valign="top" align="center">[5.31]</td>
<td valign="top" align="center">[0.65]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">0.830</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Jump<sub>10</sub> [cm]</td>
<td valign="top" align="center">41.5</td>
<td valign="top" align="center">44.3</td>
<td valign="top" align="center">1.46</td>
<td valign="top" align="center">44.7</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center" rowspan="2">0.329</td>
<td valign="top" align="center">0.114</td>
<td valign="top" align="center">&#x2212;0.344</td>
</tr>
<tr>
<td valign="top" align="center">[11.4]</td>
<td valign="top" align="center">[7.51]</td>
<td valign="top" align="center">[5.23]</td>
<td valign="top" align="center">[5.96]</td>
<td valign="top" align="center">[5.24]</td>
<td valign="top" align="center">[2.63]</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.551</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Jump<sub>90</sub> [cm]</td>
<td valign="top" align="center">31.0</td>
<td valign="top" align="center">35.1</td>
<td valign="top" align="center">1.37</td>
<td valign="top" align="center">35.8</td>
<td valign="top" align="center">36.0</td>
<td valign="top" align="center">&#x2212;0.89</td>
<td valign="top" align="center" rowspan="2">0.005<xref ref-type="table-fn" rid="table-fn2">&#x002A;</xref></td>
<td valign="top" align="center">0.587</td>
<td valign="top" align="center">0.188</td>
</tr>
<tr>
<td valign="top" align="center">[7.97]</td>
<td valign="top" align="center">[5.03]</td>
<td valign="top" align="center">[5.29]</td>
<td valign="top" align="center">[6.08]</td>
<td valign="top" align="center">[7.42]</td>
<td valign="top" align="center">[0.95]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">0.847</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">&#x0394; BLC [mmol/L]</td>
<td valign="top" align="center">5.98</td>
<td valign="top" align="center">5.29</td>
<td valign="top" align="center">&#x2212;0.64</td>
<td valign="top" align="center">4.81</td>
<td valign="top" align="center">5.44</td>
<td valign="top" align="center">0.625</td>
<td valign="top" align="center" rowspan="2">0.045<xref ref-type="table-fn" rid="table-fn2">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.399</td>
<td valign="top" align="center">&#x2212;0.762</td>
</tr>
<tr>
<td valign="top" align="center">[2.59]</td>
<td valign="top" align="center">[2.75]</td>
<td valign="top" align="center">[1.38]</td>
<td valign="top" align="center">[1.10]</td>
<td valign="top" align="center">[1.17]</td>
<td valign="top" align="center">[1.17]</td>
<td valign="top" align="center">Medium</td>
<td valign="top" align="center">0.043</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">RPE</td>
<td valign="top" align="center">15.0</td>
<td valign="top" align="center">16.0</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">16.0</td>
<td valign="top" align="center">16.05</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center" rowspan="2">0.273</td>
<td valign="top" align="center">&#x2212;0.155</td>
<td valign="top" align="center">&#x2212;0.569</td>
</tr>
<tr>
<td valign="top" align="center">[1.0]</td>
<td valign="top" align="center">[1.5]</td>
<td valign="top" align="center">[1.0]</td>
<td valign="top" align="center">[2.0]</td>
<td valign="top" align="center">[1.5]</td>
<td valign="top" align="center">[1.0]</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.317</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">O<sub>2</sub> deficit [ml/kg]</td>
<td valign="top" align="center">18.3</td>
<td valign="top" align="center">16.6</td>
<td valign="top" align="center">&#x2212;1.21</td>
<td valign="top" align="center">19.0</td>
<td valign="top" align="center">19.3</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center" rowspan="2">0.002<xref ref-type="table-fn" rid="table-fn2">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.544</td>
<td valign="top" align="center">&#x2212;0.803</td>
</tr>
<tr>
<td valign="top" align="center">[4.29]</td>
<td valign="top" align="center">[3.34]</td>
<td valign="top" align="center">[1.56]</td>
<td valign="top" align="center">[5.45]</td>
<td valign="top" align="center">[4.69]</td>
<td valign="top" align="center">[1.76]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">&#x2212;0.139</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">A<sub>1</sub> [ml/min/kg]</td>
<td valign="top" align="center">44.3</td>
<td valign="top" align="center">43.6</td>
<td valign="top" align="center">&#x2212;0.07</td>
<td valign="top" align="center">47.7</td>
<td valign="top" align="center">47.5</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center" rowspan="2">0.054</td>
<td valign="top" align="center">&#x2212;0.379</td>
<td valign="top" align="center">&#x2212;0.723</td>
</tr>
<tr>
<td valign="top" align="center">[9.75]</td>
<td valign="top" align="center">[10.2]</td>
<td valign="top" align="center">[2.09]</td>
<td valign="top" align="center">[8.58]</td>
<td valign="top" align="center">[7.61]</td>
<td valign="top" align="center">[2.34]</td>
<td valign="top" align="center">Medium</td>
<td valign="top" align="center">0.078</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>&#x03C4;</italic><sub>1</sub> [s]</td>
<td valign="top" align="center">31.9</td>
<td valign="top" align="center">29.8</td>
<td valign="top" align="center">&#x2212;3.83</td>
<td valign="top" align="center">32.4</td>
<td valign="top" align="center">32.6</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center" rowspan="2">0.002<xref ref-type="table-fn" rid="table-fn2">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.625</td>
<td valign="top" align="center">&#x2212;0.837</td>
</tr>
<tr>
<td valign="top" align="center">[9.24]</td>
<td valign="top" align="center">[7.62]</td>
<td valign="top" align="center">[4.64]</td>
<td valign="top" align="center">[12.6]</td>
<td valign="top" align="center">[12.1]</td>
<td valign="top" align="center">[3.47]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">&#x2212;0.301</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>SD, standard deviation; Jump<sub>peak</sub>, Highest value of the jump height over the entire 90&#x2005;s in the repeated jump test; Jump<sub>mean</sub>, Average value of the jump height over the entire 90&#x2005;s in the repeated jump test; Jump<sub>10</sub>, Average value of the jump height over the first 10&#x2005;s in the repeated jump test; Jump<sub>90</sub>, Average value of the jump height over the last 10&#x2005;s in the repeated jump test; BLC, blood lactate concentration; RPE, rate of perceived exertion; A<sub>1</sub>, amplitude of VO<sub>2</sub> kinetic; &#x03C4;<sub>1</sub>, time constant of VO<sub>2</sub> kinetics.</p></fn>
<fn id="table-fn2"><label>&#x002A;</label>
<p>Significant difference in the gain between the intervention and control group.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Statistical parameters in the performance and physiological parameters of the intervention (HIIT) and control group (CON) in the maximum circle test.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Parameters</th>
<th valign="top" align="center" colspan="3">HIIT</th>
<th valign="top" align="center" colspan="3">CON</th>
<th valign="top" align="center" rowspan="2">Significance</th>
<th valign="top" align="center" rowspan="2">Effect size</th>
<th valign="top" align="center" rowspan="2">CI 95&#x0025;</th>
</tr>
<tr>
<th valign="top" align="center">Pre</th>
<th valign="top" align="center">Post</th>
<th valign="top" align="center">difference</th>
<th valign="top" align="center">Pre</th>
<th valign="top" align="center">Post</th>
<th valign="top" align="center">difference</th>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Median [IQR]</th>
<th valign="top" align="center" colspan="3">Median [IQR]</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">Pearson r</th>
<th valign="top" align="center">lower upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2"><italic>C</italic><sub>max</sub> [numbers]</td>
<td valign="top" align="center">55.5</td>
<td valign="top" align="center">55.7</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">58.5</td>
<td valign="top" align="center">63.5</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center" rowspan="2">0.575</td>
<td valign="top" align="center">&#x2212;0.034</td>
<td valign="top" align="center">&#x2212;0.483</td>
</tr>
<tr>
<td valign="top" align="center">[17.0]</td>
<td valign="top" align="center">[19.5]</td>
<td valign="top" align="center">[7.25]</td>
<td valign="top" align="center">[21.0]</td>
<td valign="top" align="center">[21.0]</td>
<td valign="top" align="center">[7.0]</td>
<td valign="top" align="center">Trivial</td>
<td valign="top" align="center">0.425</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">&#x0394; BLC [mmol/L]</td>
<td valign="top" align="center">6.71</td>
<td valign="top" align="center">7.33</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">7.05</td>
<td valign="top" align="center">7.55</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center" rowspan="2">0.163</td>
<td valign="top" align="center">&#x2212;0.288</td>
<td valign="top" align="center">&#x2212;0.633</td>
</tr>
<tr>
<td valign="top" align="center">[2.04]</td>
<td valign="top" align="center">[2.91]</td>
<td valign="top" align="center">[1.79]</td>
<td valign="top" align="center">[0.69]</td>
<td valign="top" align="center">[1.07]</td>
<td valign="top" align="center">[0.85]</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.248</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">RPE</td>
<td valign="top" align="center">15.50</td>
<td valign="top" align="center">15.00</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">16.00</td>
<td valign="top" align="center">16.50</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center" rowspan="2">0.439</td>
<td valign="top" align="center">&#x2212;0.043</td>
<td valign="top" align="center">&#x2212;0.476</td>
</tr>
<tr>
<td valign="top" align="center">[2.50]</td>
<td valign="top" align="center">[1.00]</td>
<td valign="top" align="center">[1.75]</td>
<td valign="top" align="center">[1.50]</td>
<td valign="top" align="center">[1.75]</td>
<td valign="top" align="center">[1.75]</td>
<td valign="top" align="center">Trivial</td>
<td valign="top" align="center">0.400</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">O<sub>2</sub> deficit [ml/kg]</td>
<td valign="top" align="center">8.50</td>
<td valign="top" align="center">9.04</td>
<td valign="top" align="center">&#x2212;0.36</td>
<td valign="top" align="center">8.43</td>
<td valign="top" align="center">7.98</td>
<td valign="top" align="center">&#x2212;0.05</td>
<td valign="top" align="center" rowspan="2">0.633</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">&#x2212;0.418</td>
</tr>
<tr>
<td valign="top" align="center">[2.49]</td>
<td valign="top" align="center">[1.83]</td>
<td valign="top" align="center">[0.75]</td>
<td valign="top" align="center">[3.10]</td>
<td valign="top" align="center">[3.02]</td>
<td valign="top" align="center">[0.47]</td>
<td valign="top" align="center">Trivial</td>
<td valign="top" align="center">0.487</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">A<sub>1</sub> [ml/min/kg]</td>
<td valign="top" align="center">32.0</td>
<td valign="top" align="center">32.4</td>
<td valign="top" align="center">&#x2212;0.34</td>
<td valign="top" align="center">31.6</td>
<td valign="top" align="center">29.6</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center" rowspan="2">0.575</td>
<td valign="top" align="center">0.034</td>
<td valign="top" align="center">&#x2212;0.443</td>
</tr>
<tr>
<td valign="top" align="center">[5.23]</td>
<td valign="top" align="center">[4.36]</td>
<td valign="top" align="center">[2.64]</td>
<td valign="top" align="center">[9.76]</td>
<td valign="top" align="center">[9.10]</td>
<td valign="top" align="center">[1.53]</td>
<td valign="top" align="center">Trivial</td>
<td valign="top" align="center">0.487</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">&#x03C4;<sub>1</sub> [s]</td>
<td valign="top" align="center">29.3</td>
<td valign="top" align="center">29.1</td>
<td valign="top" align="center">&#x2212;1.73</td>
<td valign="top" align="center">23.3</td>
<td valign="top" align="center">19.7</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center" rowspan="2">0.395</td>
<td valign="top" align="center">&#x2212;0.068</td>
<td valign="top" align="center">&#x2212;0.530</td>
</tr>
<tr>
<td valign="top" align="center">[9.17]</td>
<td valign="top" align="center">[7.88]</td>
<td valign="top" align="center">[3.30]</td>
<td valign="top" align="center">[11.0]</td>
<td valign="top" align="center">[7.72]</td>
<td valign="top" align="center">[3.85]</td>
<td valign="top" align="center">Trivial</td>
<td valign="top" align="center">0.384</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><p>SD, standard deviation; <italic>C</italic><sub>max</sub>, maximum numbers of circles in the maximum circle test; BLC, blood lactate concentration; RPE, rate of perceived exertion; A<sub>1</sub>, amplitude of VO<sub>2</sub> kinetic; &#x03C4;<sub>1</sub>, time constant of VO<sub>2</sub> kinetics.</p></fn>
<fn id="table-fn4"><label>&#x002A;</label>
<p>Significant difference in the gain between the intervention and control group.</p></fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T4">Tables&#x00A0;4</xref>, <xref ref-type="table" rid="T5">5</xref> present the physiological and energetic parameters of the floor and pommel horse routines. On the floor, the intervention group showed a significantly greater increase in VO<sub>2mean</sub> (<italic>Z</italic>&#x2009;&#x003D;&#x2009;18.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.027; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.461) and VO<sub>2peak</sub> (<italic>Z</italic>&#x2009;&#x003D;&#x2009;16.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.017; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.503) (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>.). On pommel horse, a significant reduction in HR<sub>mean</sub> (<italic>Z</italic>&#x2009;&#x003D;&#x2009;10.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.020; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.551) and HR<sub>peak</sub> (<italic>Z</italic>&#x2009;&#x003D;&#x2009;9.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.009; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.604) were achieved by the intervention group (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>). Regarding energy supply, the HIIT leads to a significantly greater increase in aerobic metabolism (<italic>Z</italic>&#x2009;&#x003D;&#x2009;14.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.010; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.544) and a significantly greater reduction (<italic>Z</italic>&#x2009;&#x003D;&#x2009;14.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.010; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.544) in anaerobic metabolism during floor routine. In addition, a significantly greater increase in aerobic metabolism (t&#x2009;&#x003D;&#x2009;9.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.007; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.604) and a significantly greater reduction was detected for anaerobic metabolism on the pommel horse (<italic>Z</italic>&#x2009;&#x003D;&#x2009;9.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.007; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.604). The HIIT group was able to increase the aerobic energy supply on floor by 2.69&#x2009;&#x00B1;&#x2009;4.13&#x0025; on average and at the same time reduce the anaerobic energy supply by &#x2212;2.68&#x2009;&#x00B1;&#x2009;4.13&#x0025;. On the pommel horse, the aerobic energy supply in the HIIT group increased by 2.78&#x2009;&#x00B1;&#x2009;2.16&#x0025; on average with a simultaneous reduction in the anaerobic energy supply of &#x2212;2.77&#x2009;&#x00B1;&#x2009;2.16&#x0025;. For both floor (<italic>Z</italic>&#x2009;&#x003D;&#x2009;15.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.013; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.461) and pommel horse (<italic>Z</italic>&#x2009;&#x003D;&#x2009;13.00; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.025; <italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.499), the intervention group shows a significant reduction in WPCr.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Statistical parameters of the physiological and energetic parameters of the intervention (HIIT) and control group (CON) on floor.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Parameters</th>
<th valign="top" align="center" colspan="3">HIIT</th>
<th valign="top" align="center" colspan="3">CON</th>
<th valign="top" align="center" rowspan="2">Significance</th>
<th valign="top" align="center" rowspan="2">Effect size</th>
<th valign="top" align="center" rowspan="2">CI 95&#x0025;</th>
</tr>
<tr>
<th valign="top" align="center">Pre</th>
<th valign="top" align="center">Post</th>
<th valign="top" align="center">difference</th>
<th valign="top" align="center">Pre</th>
<th valign="top" align="center">Post</th>
<th valign="top" align="center">difference</th>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Median [IQR]</th>
<th valign="top" align="center" colspan="3">Median [IQR]</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">Pearson r</th>
<th valign="top" align="center">lower upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">mean HR [bpm]</td>
<td valign="top" align="center">168</td>
<td valign="top" align="center">168</td>
<td valign="top" align="center">&#x2212;0.75</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">176</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center" rowspan="2">0.204</td>
<td valign="top" align="center">&#x2212;0.210</td>
<td valign="top" align="center">&#x2212;0.634</td>
</tr>
<tr>
<td valign="top" align="center">[10.3]</td>
<td valign="top" align="center">[4.50]</td>
<td valign="top" align="center">[6.20]</td>
<td valign="top" align="center">[13.4]</td>
<td valign="top" align="center">[22.4]</td>
<td valign="top" align="center">[6.40]</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.295</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">peak HR [bpm]</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">179</td>
<td valign="top" align="center">&#x2212;2.25</td>
<td valign="top" align="center">184</td>
<td valign="top" align="center">180</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center" rowspan="2">0.252</td>
<td valign="top" align="center">&#x2212;0.187</td>
<td valign="top" align="center">&#x2212;0.616</td>
</tr>
<tr>
<td valign="top" align="center">[5.08]</td>
<td valign="top" align="center">[6.20]</td>
<td valign="top" align="center">[5.44]</td>
<td valign="top" align="center">[13.4]</td>
<td valign="top" align="center">[15.9]</td>
<td valign="top" align="center">[5.04]</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.330</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">mean VO<sub>2</sub> [ml/kg]</td>
<td valign="top" align="center">38.7</td>
<td valign="top" align="center">40.0</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">45.4</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center" rowspan="2">0.027<xref ref-type="table-fn" rid="table-fn6">&#x002A;</xref></td>
<td valign="top" align="center">0.460</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="center">[6.53]</td>
<td valign="top" align="center">[7.10]</td>
<td valign="top" align="center">[2.20]</td>
<td valign="top" align="center">[1.58]</td>
<td valign="top" align="center">[1.81]</td>
<td valign="top" align="center">[1.49]</td>
<td valign="top" align="center">Medium</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">peak VO<sub>2</sub> [ml/kg]</td>
<td valign="top" align="center">50.0</td>
<td valign="top" align="center">51.3</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">55.8</td>
<td valign="top" align="center">55.1</td>
<td valign="top" align="center">&#x2212;0.92</td>
<td valign="top" align="center" rowspan="2">0.017<xref ref-type="table-fn" rid="table-fn6">&#x002A;</xref></td>
<td valign="top" align="center">0.502</td>
<td valign="top" align="center">0.059</td>
</tr>
<tr>
<td valign="top" align="center">[6.52]</td>
<td valign="top" align="center">[8.31]</td>
<td valign="top" align="center">[1.83]</td>
<td valign="top" align="center">[3.62]</td>
<td valign="top" align="center">[1.58]</td>
<td valign="top" align="center">[2.07]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">0.799</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">&#x0394; BLC [mmol/L]</td>
<td valign="top" align="center">8.02</td>
<td valign="top" align="center">7.69</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">6.41</td>
<td valign="top" align="center">6.23</td>
<td valign="top" align="center">&#x2212;0.11</td>
<td valign="top" align="center" rowspan="2">0.483</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">&#x2212;0.467</td>
</tr>
<tr>
<td valign="top" align="center">[1.06]</td>
<td valign="top" align="center">[1.93]</td>
<td valign="top" align="center">[1.32]</td>
<td valign="top" align="center">[0.97]</td>
<td valign="top" align="center">[1.62]</td>
<td valign="top" align="center">[0.60]</td>
<td valign="top" align="center">Trivial</td>
<td valign="top" align="center">0.445</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">RPE</td>
<td valign="top" align="center">16.0</td>
<td valign="top" align="center">15.5</td>
<td valign="top" align="center">&#x2212;1.0</td>
<td valign="top" align="center">17.0</td>
<td valign="top" align="center">16.0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center" rowspan="2">0.132</td>
<td valign="top" align="center">&#x2212;0.273</td>
<td valign="top" align="center">&#x2212;0.772</td>
</tr>
<tr>
<td valign="top" align="center">[1.75]</td>
<td valign="top" align="center">[1.75]</td>
<td valign="top" align="center">[1.50]</td>
<td valign="top" align="center">[1.50]</td>
<td valign="top" align="center">[1.25]</td>
<td valign="top" align="center">[0.50]</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.173</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>W</italic><sub>AER</sub> [&#x0025;]</td>
<td valign="top" align="center">47.4</td>
<td valign="top" align="center">49.3</td>
<td valign="top" align="center">1.91</td>
<td valign="top" align="center">56.0</td>
<td valign="top" align="center">53.4</td>
<td valign="top" align="center">&#x2212;1.80</td>
<td valign="top" align="center" rowspan="2">0.010<xref ref-type="table-fn" rid="table-fn6">&#x002A;</xref></td>
<td valign="top" align="center">0.544</td>
<td valign="top" align="center">0.147</td>
</tr>
<tr>
<td valign="top" align="center">[4.64]</td>
<td valign="top" align="center">[5.75]</td>
<td valign="top" align="center">[5.37]</td>
<td valign="top" align="center">[10.8]</td>
<td valign="top" align="center">[10.4]</td>
<td valign="top" align="center">[2.55]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">0.804</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>W</italic><sub>ANAER</sub> [&#x0025;]</td>
<td valign="top" align="center">52.6</td>
<td valign="top" align="center">49.8</td>
<td valign="top" align="center">&#x2212;1.91</td>
<td valign="top" align="center">44.0</td>
<td valign="top" align="center">46.6</td>
<td valign="top" align="center">1.79</td>
<td valign="top" align="center" rowspan="2">0.010<xref ref-type="table-fn" rid="table-fn6">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.544</td>
<td valign="top" align="center">&#x2212;0.801</td>
</tr>
<tr>
<td valign="top" align="center">[4.63]</td>
<td valign="top" align="center">[7.36]</td>
<td valign="top" align="center">[5.37]</td>
<td valign="top" align="center">[10.8]</td>
<td valign="top" align="center">[10.4]</td>
<td valign="top" align="center">[2.55]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">&#x2212;0.161</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>W</italic><sub>BLC</sub> [&#x0025;]</td>
<td valign="top" align="center">20.6</td>
<td valign="top" align="center">19.7</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">17.4</td>
<td valign="top" align="center">15.5</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center" rowspan="2">0.552</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">&#x2212;0.445</td>
</tr>
<tr>
<td valign="top" align="center">[5.37]</td>
<td valign="top" align="center">[5.54]</td>
<td valign="top" align="center">[5.74]</td>
<td valign="top" align="center">[2.55]</td>
<td valign="top" align="center">[4.16]</td>
<td valign="top" align="center">[5.41]</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.533</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>W</italic><sub>PCr</sub> [&#x0025;]</td>
<td valign="top" align="center">33.4</td>
<td valign="top" align="center">28.8</td>
<td valign="top" align="center">&#x2212;1.84</td>
<td valign="top" align="center">27.1</td>
<td valign="top" align="center">28.9</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center" rowspan="2">0.013<xref ref-type="table-fn" rid="table-fn6">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.460</td>
<td valign="top" align="center">&#x2212;0.761</td>
</tr>
<tr>
<td valign="top" align="center">[7.91]</td>
<td valign="top" align="center">[7.56]</td>
<td valign="top" align="center">[6.53]</td>
<td valign="top" align="center">[11.0]</td>
<td valign="top" align="center">[8.80]</td>
<td valign="top" align="center">[2.93]</td>
<td valign="top" align="center">Medium</td>
<td valign="top" align="center">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>SD, standard deviation; HR, heart rate; VO<sub>2</sub>, oxygen consumption; BLC, blood lactate concentration; RPE, rate of perceived exertion; <italic>W</italic><sub>AER</sub>, relative energy contribution from the aerobic metabolism; <italic>W</italic><sub>ANAER</sub>, relative energy contribution from the anaerobic metabolism; <italic>W</italic><sub>BLC</sub>, relative energy contribution from anaerobic-lactic metabolism; <italic>W</italic><sub>PCr</sub>, relative energy contribution from anaerobic-alactic metabolism; NA, not predictable.</p></fn>
<fn id="table-fn6"><label>&#x002A;</label>
<p>Significant difference in the gain between the intervention and control group.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>Statistical parameters of the physiological and energetic parameters of the intervention (HIIT) and control group (CON) on pommel horse.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Parameters</th>
<th valign="top" align="center" colspan="3">HIIT</th>
<th valign="top" align="center" colspan="3">CON</th>
<th valign="top" align="center" rowspan="2">Significance</th>
<th valign="top" align="center" rowspan="2">Effect size</th>
<th valign="top" align="center" rowspan="2">CI 95&#x0025;</th>
</tr>
<tr>
<th valign="top" align="center">Pre</th>
<th valign="top" align="center">Post</th>
<th valign="top" align="center">difference</th>
<th valign="top" align="center">Pre</th>
<th valign="top" align="center">Post</th>
<th valign="top" align="center">difference</th>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Median [IQR]</th>
<th valign="top" align="center" colspan="3">Median [IQR]</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">Pearson r</th>
<th valign="top" align="center">lower upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">mean HR [bpm]</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">167</td>
<td valign="top" align="center">&#x2212;3.41</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">&#x2212;0.35</td>
<td valign="top" align="center" rowspan="2">0.020<xref ref-type="table-fn" rid="table-fn8">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.537</td>
<td valign="top" align="center">&#x2212;0,842</td>
</tr>
<tr>
<td valign="top" align="center">[15.6]</td>
<td valign="top" align="center">[11.5]</td>
<td valign="top" align="center">[3.82]</td>
<td valign="top" align="center">[17.6]</td>
<td valign="top" align="center">[18.3]</td>
<td valign="top" align="center">[2.51]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">&#x2212;0,032</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">peak HR [bpm]</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">176</td>
<td valign="top" align="center">&#x2212;4.65</td>
<td valign="top" align="center">188</td>
<td valign="top" align="center">187</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center" rowspan="2">0.009<xref ref-type="table-fn" rid="table-fn8">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.605</td>
<td valign="top" align="center">&#x2212;0.842</td>
</tr>
<tr>
<td valign="top" align="center">[7.68]</td>
<td valign="top" align="center">[6.35]</td>
<td valign="top" align="center">[3.95]</td>
<td valign="top" align="center">[13.9]</td>
<td valign="top" align="center">[11.9]</td>
<td valign="top" align="center">[4.50]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">&#x2212;0.214</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">mean VO<sub>2</sub> [ml/kg]</td>
<td valign="top" align="center">35.9</td>
<td valign="top" align="center">37.2</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">35.7</td>
<td valign="top" align="center">34.1</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center" rowspan="2">0.080</td>
<td valign="top" align="center">0.368</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="center">[9.81]</td>
<td valign="top" align="center">[9.00]</td>
<td valign="top" align="center">[1.20]</td>
<td valign="top" align="center">[5.27]</td>
<td valign="top" align="center">[4.99]</td>
<td valign="top" align="center">[1.64]</td>
<td valign="top" align="center">Medium</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">peak VO<sub>2</sub> [ml/kg]</td>
<td valign="top" align="center">43.2</td>
<td valign="top" align="center">46.3</td>
<td valign="top" align="center">2.60</td>
<td valign="top" align="center">39.3</td>
<td valign="top" align="center">41.2</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center" rowspan="2">0.191</td>
<td valign="top" align="center">0.236</td>
<td valign="top" align="center">&#x2212;0.290</td>
</tr>
<tr>
<td valign="top" align="center">5.87</td>
<td valign="top" align="center">8.89</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">6.57</td>
<td valign="top" align="center">10.1</td>
<td valign="top" align="center">2.76</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.678</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">&#x0394; BLC [mmol/L]</td>
<td valign="top" align="center">6.30</td>
<td valign="top" align="center">4.98</td>
<td valign="top" align="center">&#x2212;0.42</td>
<td valign="top" align="center">7.21</td>
<td valign="top" align="center">6.60</td>
<td valign="top" align="center">&#x2212;0.53</td>
<td valign="top" align="center" rowspan="2">0.439</td>
<td valign="top" align="center">0.053</td>
<td valign="top" align="center">&#x2212;0.445</td>
</tr>
<tr>
<td valign="top" align="center">[1.25]</td>
<td valign="top" align="center">[2.46]</td>
<td valign="top" align="center">[1.07]</td>
<td valign="top" align="center">[0.87]</td>
<td valign="top" align="center">[0.50]</td>
<td valign="top" align="center">[1.18]</td>
<td valign="top" align="center">Trivial</td>
<td valign="top" align="center">0.550</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">RPE</td>
<td valign="top" align="center">15.0</td>
<td valign="top" align="center">15.0</td>
<td valign="top" align="center">&#x2212;1.0</td>
<td valign="top" align="center">17.0</td>
<td valign="top" align="center">17.0</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center" rowspan="2">0.141</td>
<td valign="top" align="center">0.282</td>
<td valign="top" align="center">&#x2212;0.690</td>
</tr>
<tr>
<td valign="top" align="center">[2.0]</td>
<td valign="top" align="center">[2.0]</td>
<td valign="top" align="center">[1.5]</td>
<td valign="top" align="center">[1.5]</td>
<td valign="top" align="center">[1.25]</td>
<td valign="top" align="center">[2.50]</td>
<td valign="top" align="center">Small</td>
<td valign="top" align="center">0.206</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>W</italic><sub>AER</sub> [&#x0025;]</td>
<td valign="top" align="center">56.3</td>
<td valign="top" align="center">57.0</td>
<td valign="top" align="center">2.55</td>
<td valign="top" align="center">57.2</td>
<td valign="top" align="center">56.2</td>
<td valign="top" align="center">&#x2212;1.17</td>
<td valign="top" align="center" rowspan="2">0.007<xref ref-type="table-fn" rid="table-fn8">&#x002A;</xref></td>
<td valign="top" align="center">0.605</td>
<td valign="top" align="center">0.212</td>
</tr>
<tr>
<td valign="top" align="center">[7.87]</td>
<td valign="top" align="center">[9.39]</td>
<td valign="top" align="center">[2.33]</td>
<td valign="top" align="center">[5.73]</td>
<td valign="top" align="center">[4.49]</td>
<td valign="top" align="center">[5.67]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">0.838</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>W</italic><sub>ANAER</sub> [&#x0025;]</td>
<td valign="top" align="center">43.8</td>
<td valign="top" align="center">43.0</td>
<td valign="top" align="center">&#x2212;2.55</td>
<td valign="top" align="center">42.8</td>
<td valign="top" align="center">43.8</td>
<td valign="top" align="center">1.17</td>
<td valign="top" align="center" rowspan="2">0.007<xref ref-type="table-fn" rid="table-fn8">&#x002A;</xref></td>
<td valign="top" align="center">0.605</td>
<td valign="top" align="center">&#x2212;0.840</td>
</tr>
<tr>
<td valign="top" align="center">[7.87]</td>
<td valign="top" align="center">[9.40]</td>
<td valign="top" align="center">[2.32]</td>
<td valign="top" align="center">[5.73]</td>
<td valign="top" align="center">[4.48]</td>
<td valign="top" align="center">[5.68]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">&#x2212;0.214</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>W</italic><sub>BLC</sub> [&#x0025;]</td>
<td valign="top" align="center">17.1</td>
<td valign="top" align="center">15.0</td>
<td valign="top" align="center">&#x2212;1.27</td>
<td valign="top" align="center">17.3</td>
<td valign="top" align="center">17.2</td>
<td valign="top" align="center">&#x2212;1.27</td>
<td valign="top" align="center" rowspan="2">0.0561</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">&#x2212;0.495</td>
</tr>
<tr>
<td valign="top" align="center">[7.37]</td>
<td valign="top" align="center">[4.05]</td>
<td valign="top" align="center">[3.07]</td>
<td valign="top" align="center">[3.07]</td>
<td valign="top" align="center">[4.54]</td>
<td valign="top" align="center">2.03]</td>
<td valign="top" align="center">Trivial</td>
<td valign="top" align="center">0.555</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><italic>W</italic><sub>PCr</sub> [&#x0025;]</td>
<td valign="top" align="center">27.0</td>
<td valign="top" align="center">27.7</td>
<td valign="top" align="center">&#x2212;0.45</td>
<td valign="top" align="center">24.4</td>
<td valign="top" align="center">26.7</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center" rowspan="2">0.025<xref ref-type="table-fn" rid="table-fn8">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.500</td>
<td valign="top" align="center">0.838</td>
</tr>
<tr>
<td valign="top" align="center">[3.03]</td>
<td valign="top" align="center">[8.52]</td>
<td valign="top" align="center">[3.93]</td>
<td valign="top" align="center">[7.12]</td>
<td valign="top" align="center">[10.6]</td>
<td valign="top" align="center">[4.86]</td>
<td valign="top" align="center">Large</td>
<td valign="top" align="center">&#x2212;0.014</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn7"><p>SD, standard deviation; HR, heart rate; VO<sub>2</sub>, oxygen consumption; BLC, blood lactate concentration; RPE, rate of perceived exertion; <italic>W</italic><sub>AER</sub>, relative energy contribution from the aerobic metabolism; <italic>W</italic><sub>ANAER</sub>, relative energy contribution from the anaerobic metabolism; <italic>W</italic><sub>BLC</sub>, relative energy contribution from anaerobic-lactic metabolism; <italic>W</italic><sub>PCr</sub>, relative energy contribution from anaerobic-alactic metabolism; NA, not predictable.</p></fn>
<fn id="table-fn8"><label>&#x002A;</label>
<p>Significant difference in the gain between the intervention and control group.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Looking at the physiological factors for the effectiveness of HIIT, the correlation analyses revealed a significant negative correlation (Rho&#x2009;&#x003D;&#x2009;&#x2212;0.73; <italic>p</italic>&#x2009;&#x003D;&#x2009;&#x2009;&#x003C;&#x2009;0.001) between the difference in O<sub>2</sub> deficit and the difference in Jump<sub>mean</sub> in the RJT (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). There is also a significant negative correlation for the difference in O<sub>2</sub> deficit and the difference in Jump<sub>90</sub> (Rho&#x2009;&#x003D;&#x2009;&#x2212;0.58; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.010). The difference in <italic>&#x03C4;</italic><sub>1</sub> also shows a significant negative correlation with the difference in Jump<sub>mean</sub> in the RJT (Rho&#x2009;&#x003D;&#x2009;&#x2212;0.74; <italic>p</italic>&#x2009;&#x003D;&#x2009;&#x003C;&#x2009;0.001) as well as with the difference in Jump<sub>90</sub> (Rho&#x2009;&#x003D;&#x2009;&#x2212;0.67; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.002).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Correlogram for the comparison of the performance and physiological parameters in the repeated jump test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1601074-g002.tif"><alt-text content-type="machine-generated">Scatterplot matrix displaying pairwise relationships and correlations between seven variables: Jumppeak, Jump10, Jumpmean, Jump90, &#x0394;BLC, O2deficit, and &#x03C4;1. Upper triangle shows correlation coefficients with significance levels. Diagonal panels depict variable distributions. Lower triangle contains scatterplots, illustrating relationships between variable pairs, with varied spread and linear trends.</alt-text>
</graphic>
</fig>
<p>Furthermore, there is a significant negative correlation (Rho&#x2009;&#x003D;&#x2009;&#x2212;0.60; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.020) between the difference in O<sub>2</sub> deficit in the RJT and the difference in the relative <italic>W</italic><sub>AER</sub> on floor (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). There is also a significant negative correlation (Rho&#x2009;&#x003D;&#x2009;&#x2212;0.61; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.019) for the difference in <italic>&#x03C4;</italic><sub>1</sub> in the RJT and the difference in the relative <italic>W</italic><sub>AER</sub> on floor (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Correlogram for the comparison of the physiological parameters in the repeated jump test and the energy parameter on floor.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1601074-g003.tif"><alt-text content-type="machine-generated">Scatter plot matrix displaying relationships and correlations among variables: O2deficit, &#x03C4;1, WAER, and WANAER. Diagonal shows histograms for each variable. Upper triangle displays correlation coefficients with stars indicating significance levels. Lower triangle contains scatter plots for pairwise comparisons between variables.</alt-text>
</graphic>
</fig>
<p>In CT, there is a significant negative correlation for the difference in O<sub>2</sub> deficit and the difference in <italic>C</italic><sub>max</sub> (Rho&#x2009;&#x003D;&#x2009;&#x2212;0.58; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.008) and a significant negative correlation for the difference <italic>&#x03C4;</italic><sub>1</sub> and the difference in <italic>C</italic><sub>max</sub> (Rho&#x2009;&#x003D;&#x2009;&#x2212;0.55; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.013) (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>). No significant correlations were found for the differences in the physiological parameters in the CT and the differences in the relative energy fractions on pommel horse.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Correlogram for the comparison of the physiological parameters in the circle test and the energy parameter on pommel horse.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1601074-g004.tif"><alt-text content-type="machine-generated">Scatter plot matrix displaying relationships among six variables: Cmax, &#x0394;BLC, O2deficit, &#x03C4;1, WAER, and WANAER. Each pair is represented by a scatter plot, with correlation coefficients labeled. Positive and negative correlations are shown, with notable correlations like -0.575 for Cmax and O2deficit, and -1.000 for WAER and WANAER. Diagonal plots display distribution density curves for each variable.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>The study aimed to examine the effectiveness of HIIT integrated into normal gymnastics training on gymnastics-specific endurance performance and energy supply during floor and pommel horse routines. Contrary to the first hypothesis (H1), the HIIT only leads to a greater improvement in gymnastics-specific endurance performance in the RJT (i.e., Jump<sub>mean</sub>), however, the HIIT did not increase the maximum number of circles in the CT. The increase in Jump<sub>mean</sub> is in contrast to a previous study that reported no effects of HIIT on mean jump height in a 30-second RJT (seven young female sub-elite aerobic gymnasts) compared to a control group performing normal acrobatic training (<xref ref-type="bibr" rid="B41">41</xref>). The reason for the inconsistent results of the studies could be explained by the different loading times of the RJT and thus the different energy supply. The anaerobic part of the energy supply is presumably higher during a 30&#x2005;s RJT compared to a 90&#x2005;s RJT, so the effects of HIIT (i.e., increase in aerobic power) on the average jump performance did not fully apply. Improving the mean jump height in an RJT is important as gymnasts must be able to generate a similar amount of net momentum and force throughout the floor routine (<xref ref-type="bibr" rid="B30">30</xref>). The aforementioned positive association is strengthened by the study of Marina and Rodr&#x00ED;guez (<xref ref-type="bibr" rid="B30">30</xref>), where the mean jump height in a 60&#x2005;s RJT is positively correlated (Rho&#x2009;&#x003D;&#x2009;0.98) with the judge&#x0027;s score on the floor in twenty teenage elite artistic gymnasts. A greater improvement in peak jumping performance, expressed in Jump<sub>peak</sub> could not be achieved with the integrated HIIT. However, both groups achieved an improvement in Jump<sub>peak</sub> in the post-test (HIIT&#x2009;&#x003D;&#x2009;&#x002B;1.62&#x2009;&#x00B1;&#x2009;3.92&#x2005;cm; CON&#x2009;&#x003D;&#x2009;&#x002B;1.15&#x2009;&#x00B1;&#x2009;1.83&#x2005;cm), which can presumably be attributed to the normal gymnastics training in the preparation phase. As the aim of the study was to improve the gymnastics-specific endurance performance and thus Jump<sub>mean</sub>, this result is understandable. In a study with aerobic gymnasts, integrating HIIT into normal training also did not result in a significantly greater improvement in peak jumping power performance in a counter-movement jump compared to a control group with only normal acrobatic training (<xref ref-type="bibr" rid="B42">42</xref>). However, the same study showed a significantly greater improvement in peak jump power performance for the jump interval training (JIT) group compared to the control group with only normal training (<xref ref-type="bibr" rid="B42">42</xref>). So, if the training goal is to achieve a greater improvement in peak jumping performance compared to normal gymnastics or acrobatics training, JIT should be used. HIIT and JIT appear to produce different adaptations that should be used as specifically as possible, especially in high-performance sport. JIT requires explosive force generation, which more effectively stimulates fast-twitch muscle fibers than running intervals, resulting in an enhanced neuromuscular power, which is crucial for improving maximum jump height (<xref ref-type="bibr" rid="B42">42</xref>). HIIT, on the other hand, results in adaptations at physiological energetic levels (oxidative adaptations), which appears to be crucial for the increase in mean jumping power during RJT. The present study found a significant correlation between the increase in mean jump height and the reduction in the O<sub>2</sub> deficit as well as between the increase in mean jump height and the reduction in the time constants of VO<sub>2</sub> kinetics, which partially confirms the third hypothesis.</p>
<p>As mentioned previously, a greater increase in <italic>C</italic><sub>max</sub> through the integrated HIIT was not detected. Possible reasons for this could be related to the used CT or the designed HIIT. In addition to muscular fatigue, there may have been other influences on <italic>C</italic><sub>max</sub> in the CT. The fatigue at the end of the CT may have resulted in a poor grip and thus impaired balance, which could have resulted in the CT being stopped without complete fatigue being achieved. However, this effect can also be transferred to the control group. The analysis of the HR data from the HIIT shows that the required exercise intensity of 90&#x0025; of HR<sub>max</sub> was mostly not achieved in the upper body exercises. This can be explained by lower muscle mass in the upper body, which leads to differences in metabolic and cardiovascular responses compared to leg training (<xref ref-type="bibr" rid="B28">28</xref>). Arm cranking shows slower HR kinetics compared to leg training, probably due to lower sympathetic stimulation of the heart during arm training (<xref ref-type="bibr" rid="B43">43</xref>). Achieving a high intensity in HIIT is important as only exercise intensities near VO<sub>2max</sub> allow for both large motor unit recruitment (i.e., type II muscle fibres) and attainment of near-to-maximal cardiac output, which, in turn, together represent signals for oxidative muscle fibre adaptation and myocardium enlargement (<xref ref-type="bibr" rid="B44">44</xref>). Therefore, it can be assumed that the training stimulus for an adaptation of aerobic performance in the upper body was not sufficient. Another explanation is that circles are too specific movements to be trained by the implemented HIIT. Although one study showed that HIIT can significantly increase maximum numbers of circles, the HIIT carried out in this study also included 40&#x2005;s circles as one of the five exercises (<xref ref-type="bibr" rid="B20">20</xref>). In the present study, circles were not used as a HIIT exercise, as gymnasts are often affected by wrist problems due to pommel horse training. In addition to physiological and test-related factors, the non-randomized design and sample size may also have limited the statistical power to detect changes in <italic>C</italic><sub>max</sub>.</p>
<p>The second research hypothesis, that semi-specific HIIT increases the relative aerobic energy contribution during floor and pommel horse routines, was confirmed. The greater increase in aerobic metabolism reduced anaerobic metabolism and thus offers the possibility of a) creating energetic performance reserves (conservation of PCr stores) and b) reducing factors of muscular fatigue. This provides the conditional basis for increasing exercise difficulty and ensures that a high exercise quality is maintained throughout the exercise. These aspects highlight the importance of developing specific endurance performance in artistic gymnastics. The modification of energy supply through HIIT is consistent with the results of other studies (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B47">47</xref>). Some of these studies showed that the change in energy supply also resulted in a reduced O<sub>2</sub> deficit (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). In the present study, the O<sub>2</sub> deficit was not calculated for the floor and pommel horse routines. However, there is a correlation between the reduction of the O<sub>2</sub> deficit in the RJT and the modification of the metabolic components on the floor. This confirms the fourth hypothesis. The reduction in the O<sub>2</sub> deficit can be attributed to a faster VO<sub>2</sub> kinetic.</p>
<p>The energy data also show that the integrated HIIT primarily reduces the energy of the anaerobic alactic metabolism by increasing the aerobic metabolism. The anaerobic lactic metabolism showed no significant reduction in the relative energy content. Thus, the results are somewhat contrary to the results of Park and Yang (<xref ref-type="bibr" rid="B47">47</xref>), who reported that a 4-week integrated HIIT led to a significant reduction in the relative anaerobic lactic energy content in a high-intensity cardio yoga test (ten physically active individuals). This discrepancy may be due to the different energy demands of the different types of exercise. For example, the relative W<sub>PCr</sub> for the floor and pommel horse routines examined in this study is around 30&#x0025;, while for the high-intensity cardio yoga test it is around 10&#x0025;. The fact that different types of exercise have different energy demands was also demonstrated by Kaufmann, Hoos (<xref ref-type="bibr" rid="B48">48</xref>), who showed that a 30-second RJT depends more on alactic and less on lactic energy contribution than a Wingate test. Because anaerobic alactic capacity is an important component of gymnastic-specific endurance (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), reducing W<sub>PCr</sub> is an important training adaptation. In this way, HIIT can be performed to save PCr, which can be used as an energy reserve for increasing exercise difficulty.</p>
<p>Based on the determined correlation, conclusions about the physiological reason for the effectiveness of HIIT in modifying energy supply and improving specific endurance performance on the floor can be made. Notably, an acceleration of VO<sub>2</sub> kinetics is mainly due to an improvement in the intramuscular part (enzyme activity and content, and mitochondrial volume and content) of VO<sub>2</sub>. Aerobic power, expressed as maximum VO<sub>2</sub>, is made up of the power of the pulmonary, cardiovascular, and muscular systems (<xref ref-type="bibr" rid="B49">49</xref>). Therefore, it can be concluded that especially the intramuscular part of aerobic performance is an important component of gymnastic-specific endurance performance. Using this knowledge, future gymnastics-specific endurance training programs and performance tests can be designed more specifically to stimulate or identify corresponding physiological adaptations.</p>
<p>When interpreting the results, however, the following limitations of the study must be taken into account. The study was conducted with twenty-five male junior high-level gymnasts. Due to the small sample size, the generalizability of the results is limited. The selection of exclusively male junior high-level gymnasts limits the transferability to other groups of people (junior female gymnasts or senior male gymnasts), meaning that the validity and significance of the results can only be related to the group of people and performance level studied. Future studies with a larger participant group and an age- and gender-related expansion of the participant group are recommended to increase the transferability of the results. Instead of randomization, group selection in this study was based on the training location, which could not be realized otherwise in professional training practice. Nevertheless, the insufficient randomization leads to a reduction in internal validity and could have caused a selection or location effect. Further limitations of the study include the use of the Fox formula to determine HRmax, which is less accurate in adolescents, and the matching of the total training duration of the groups instead of the training volume. This approach was taken to enable the practicability of such a study in a professional sports context, as, for example, an additional HRmax test could not be performed due to time limitations. The experimental process was routine in a training competition, therefore, the available data should be compared with future studies. When calculating the energy contributions, it was assumed that the replenishment of PCr stores after exercise is entirely attributable to the aerobic system, whereby a possible minor contribution of the glycolytic system to PCr resynthesis was neglected (<xref ref-type="bibr" rid="B48">48</xref>). Another point that needs to be addressed is the calculation of the energy supply during the pommel horse routine. For the pommel horse routines, the VO<sub>2</sub> data during the short breaks were neglected as a potential W<sub>PCr</sub> contribution, as the recovery time was very short and the athletes jogged during the breaks, which maintained the increased VO<sub>2</sub>. Thus, there was no rest period in which the PCr could have been replenished, so these values were considered as oxidative phosphorylation energy (<xref ref-type="bibr" rid="B50">50</xref>). Since this study is mainly concerned with the difference between the intervention and control groups, the aspects of energy calculation can be neglected.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusions</title>
<p>It was shown that HIIT resulted in a greater increase in the relative aerobic and a greater reduction in the relative anaerobic energy component during floor and pommel horse routines. The modification of the energy supply can have a positive influence, as it can create energetic performance reserves and reduce factors of muscular fatigue. It was also shown that HIIT increased Jump<sub>mean</sub> in a 90-s RJT. The average jump height is an important performance parameter for gymnastic-specific endurance on the floor (<xref ref-type="bibr" rid="B30">30</xref>). HIIT fosters faster VO<sub>2</sub> kinetics and thus a reduced O<sub>2</sub> deficit. Based on this, it can be concluded that the muscular part of aerobic performance is an important component of gymnastics-specific endurance performance. Contrary to assumptions before the study, a greater improvement in <italic>C</italic><sub>max</sub> through HIIT could not be confirmed. This could be due to upper body exercises used in the HIIT, which mostly failed to achieve the desired exercise intensity. For this reason, future studies could examine whether a modified exercise selection or a modified load profile can positively influence endurance performance on the pommel horse.</p>
</sec>
</body>
<back>
<sec id="s6" 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="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of the Faculty of Cultural, Social and Educational Sciences at Humboldt-Universit&#x00E4;t of Berlin (HU-KSBF-114 EK_2022_0021). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>AS-S: Project administration, Methodology, Investigation, Formal analysis, Data curation, Conceptualization, Writing &#x2013; original draft. PR: Conceptualization, Investigation, Writing &#x2013; review &#x0026; editing, Methodology. IS: Visualization, Data curation, Writing &#x2013; review &#x0026; editing, Methodology. FN: Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing. BW: Writing &#x2013; review &#x0026; editing, Supervision.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was funded by the German Federal Ministry of the Interior and Community and was supported by a decision of the German Bundestag.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>The authors thank the athletes and their coaches for participating in the study.</p>
</ack>
<sec id="s10" 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>
</sec>
<sec id="s11" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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