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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphys.2021.743859</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Metabolic Energy Contributions During High-Intensity Hatha Yoga and Physiological Comparisons Between Active and Passive (<italic>Savasana</italic>) Recovery</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Lee</surname> <given-names>Kwang-Ho</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Ju</surname> <given-names>Hyo-Myeong</given-names></name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yang</surname> <given-names>Woo-Hwi</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/571734/overview"/>
</contrib>
</contrib-group>
<aff><institution>Graduate School of Sports Medicine, CHA University</institution>, <addr-line>Seongnam</addr-line>, <country>South Korea</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Kiwon Lim, Konkuk University, South Korea</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ma&#x00142;gorzata Grabara, Jerzy Kukuczka Academy of Physical Education in Katowice, Poland; Jisu Kim, Konkuk University, South Korea</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Woo-Hwi Yang <email>ywh1235&#x00040;cha.ac.kr</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>09</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>743859</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>08</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Lee, Ju and Yang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Lee, Ju and Yang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p><bold>Purpose:</bold> The objective of this study was to investigate metabolic energy contributions during high-intensity hatha yoga (HIHY) and to compare changes in physiological variables between active and passive recovery methods.</p>
<p><bold>Methods:</bold> The study involved 20 women yoga instructors (<italic>n</italic> = 20) who performed 10 min of HIHY (vigorous sun salutation). Upon completion, they were randomly assigned to either active (walking; <italic>n</italic> = 10) or passive (<italic>savasana</italic>; <italic>n</italic> = 10) recovery groups for a period of 10 min. During HIHY, physiological variables such as heart rate (HR<sub>peak</sub> and HR<sub>mean</sub>), oxygen uptake (VO<sub>2peak</sub> and VO<sub>2mean</sub>), and blood lactate concentrations (peak La<sup>&#x02212;</sup>) were measured. Energetic contributions (phosphagen; W<sub>PCR</sub>, glycolytic; W<sub>Gly</sub>, and oxidative; W<sub>Oxi</sub>) in kJ and % were estimated using VO<sub>2</sub> and La<sup>&#x02212;</sup> data. Furthermore, the metabolic equivalents (METs) of VO<sub>2peak</sub> and VO<sub>2mean</sub> were calculated. To compare different recovery modes, HR<sub>post</sub>, &#x00394;HR, VO<sub>2post</sub>, &#x00394;VO<sub>2</sub>, recovery La<sup>&#x02212;</sup>, and recovery &#x00394;La<sup>&#x02212;</sup> were analyzed.</p>
<p><bold>Results:</bold> The results revealed that HR<sub>peak</sub>, VO<sub>2peak</sub>, and peak La<sup>&#x02212;</sup> during HIHY showed no differences between the two groups (<italic>p</italic> &#x0003E; 0.05). Values of HR<sub>peak</sub>, HR<sub>mean</sub>, METs of VO<sub>2peak</sub> and VO<sub>2mean</sub>, and La<sup>&#x02212;</sup> during HIHY were 95.6% of HR<sub>max</sub>, 88.7% of HR<sub>max</sub>, 10.54 &#x000B1; 1.18, 8.67 &#x000B1;.98 METs, and 8.31 &#x000B1; 2.18 mmol&#x000B7;L<sup>&#x02212;1</sup>, respectively. Furthermore, W<sub>Oxi</sub> was significantly higher compared with W<sub>PCR</sub>, W<sub>Gly</sub>, and anaerobic contribution (W<sub>PCR</sub> &#x0002B; W<sub>Gly</sub>), in kJ and % (<italic>p</italic> &#x0003C; 0.0001). VO<sub>2post</sub> and recovery &#x00394;La<sup>&#x02212;</sup> were significantly higher in the active recovery group (<italic>p</italic> &#x0003C; 0.0001, <italic>p</italic> = 0.0369, respectively). Values of &#x00394;VO<sub>2</sub> and recovery La<sup>&#x02212;</sup> were significantly lower in the active group compared with the passive group (<italic>p</italic> = 0.0115, <italic>p</italic> = 0.0291, respectively).</p>
<p><bold>Conclusions:</bold> The study concluded that high-intensity hatha yoga which was performed for 10 min is a suitable option for relatively healthy people in the modern workplace who may have hatha yoga experience but do not have time to perform a prolonged exercise. Following active recovery, they can participate in further HIHY sessions during short breaks. Furthermore, a faster return to work can be supported by physiological recovery.</p></abstract>
<kwd-group>
<kwd>energy demands</kwd>
<kwd>phosphagen system</kwd>
<kwd>glycolytic system</kwd>
<kwd>oxidative system</kwd>
<kwd>blood lactate</kwd>
<kwd>resynthesis</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="8"/>
<word-count count="5619"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The greatest public health problem of the 21st century is physical inactivity which is usually the consequence of modern sedentary lifestyles (Booth et al., <xref ref-type="bibr" rid="B3">2000</xref>; Trost et al., <xref ref-type="bibr" rid="B38">2014</xref>). Most international guidelines for physical activity recommend at least 150 min of moderate-intensity physical activity (3&#x02013;5.9 metabolic equivalents; METs) or 75 min of vigorous-intensity aerobic physical activity (&#x02265;6 METs) per week for adults (Ainsworth et al., <xref ref-type="bibr" rid="B1">2011</xref>; Hallal et al., <xref ref-type="bibr" rid="B18">2012</xref>; Brinsley et al., <xref ref-type="bibr" rid="B4">2021</xref>). However, estimates based on self-reported data show that 40&#x02013;60% of the general adult population are not sufficiently active (Hallal et al., <xref ref-type="bibr" rid="B18">2012</xref>). This may lead to non-communicable diseases, including cardiovascular, coronary heart disease, diabetes, and cancer, which account for seven of the ten most common worldwide reasons for premature death (Hallal et al., <xref ref-type="bibr" rid="B18">2012</xref>; Brinsley et al., <xref ref-type="bibr" rid="B4">2021</xref>).</p>
<p>The modern workplace has recently been recognized as an alternative setting for physical activity or exercise for people who may not have time, e.g., during lunch break, to participate in more formal exercise sessions (Kuoppala et al., <xref ref-type="bibr" rid="B22">2008</xref>; Dalager et al., <xref ref-type="bibr" rid="B9">2016</xref>). In this regard, hatha yoga (HY) lends itself to forming part of a general health regimen to prevent physical inactivity (Larson-Meyer, <xref ref-type="bibr" rid="B23">2016</xref>). Additionally, HY aims to improve the body, breath, and mind and prepare self-realization as an alternative form of exercise (Schmalzl et al., <xref ref-type="bibr" rid="B34">2015</xref>; Papp et al., <xref ref-type="bibr" rid="B28">2019</xref>). Previous review and meta-analytic findings have shown that HY decreases blood pressure, blood lipids, glycosylated hemoglobin, low-density lipoprotein, and increases high-density lipoprotein cholesterol (Hagins et al., <xref ref-type="bibr" rid="B17">2013</xref>; Cramer et al., <xref ref-type="bibr" rid="B7">2014</xref>).</p>
<p>However, the common HY program lasts for approximately an hour, which is unsuitable for most people in the workplace. Therefore, a program of high-intensity interval training (HIIT) is an alternative with preferred physical exercises which are also ranked in the top 10 fitness trends of the American College of Sports Medicine (Thompson, <xref ref-type="bibr" rid="B36">2021</xref>). HIIT improves cardiovascular fitness as measured by maximal oxygen uptake (VO<sub>2max</sub>) and includes repeated rounds of exercise that achieve &#x0003E;90% of maximal heart rate (HR<sub>max</sub>), the second ventilatory threshold (&#x0003E;VT<sub>2</sub>), over second lactate threshold (&#x0003E;4 mmol&#x000B7;L<sup>&#x02212;1</sup>; zone 3: high-intensity exercise), and &#x0003E;85% of peak and maximal oxygen uptake (VO<sub>2peak</sub> and VO<sub>2max</sub>) (Billat, <xref ref-type="bibr" rid="B2">2001</xref>; Treff et al., <xref ref-type="bibr" rid="B37">2019</xref>; Jamnick et al., <xref ref-type="bibr" rid="B20">2020</xref>).</p>
<p>Hatha yoga is considered as a low-to-moderate-intensity physical activity based on MET values and percentages of HR<sub>max</sub> and VO<sub>2max</sub> (Hagins et al., <xref ref-type="bibr" rid="B16">2007</xref>; Ainsworth et al., <xref ref-type="bibr" rid="B1">2011</xref>; Ray et al., <xref ref-type="bibr" rid="B32">2011</xref>). Furthermore, HY can be a form of high-intensity exercise (HIE) (Papp et al., <xref ref-type="bibr" rid="B28">2019</xref>). High-intensity hatha yoga (HIHY) includes vigorous sun salutation (SS) physical exercises (<italic>asanas</italic>) at rapid speed. The most common exercise sequence of HY programs consists of SS (Pascoe and Bauer, <xref ref-type="bibr" rid="B30">2015</xref>; Larson-Meyer, <xref ref-type="bibr" rid="B23">2016</xref>; Papp et al., <xref ref-type="bibr" rid="B28">2019</xref>).</p>
<p>Typically, meditative relaxation (<italic>savasana</italic>) such as passive recovery is conducted after HY and HIHY (Sharma et al., <xref ref-type="bibr" rid="B35">2007</xref>; Papp et al., <xref ref-type="bibr" rid="B28">2019</xref>). However, this recovery method is not suitable after HIHY in the workplace. In light of this, active recovery helps regenerate metabolic pathways which provide greater oxygen uptake (VO<sub>2</sub>) and O<sub>2</sub> transfer into muscle cells, both of which are necessary for the resynthesis of adenosine triphosphate (ATP) (Menzies et al., <xref ref-type="bibr" rid="B24">2010</xref>; Cupeiro et al., <xref ref-type="bibr" rid="B8">2016</xref>; Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>). The lactate shuttle mechanism plays a crucial role in lactate clearance (Brooks, <xref ref-type="bibr" rid="B5">2018</xref>). Lactate links glycolytic and oxidative energy systems. During active recovery, the accumulated lactate is predominantly re-metabolized by the cell-cell lactate shuttle, and by the Cori cycle and gluconeogenesis. These mechanisms are supported by increased hepatic blood flow during the active recovery phase (Nielsen et al., <xref ref-type="bibr" rid="B25">1999</xref>; Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>). Furthermore, active recovery (low-intensity) activates key enzymes and hormonal regulators of gluconeogenesis such as phosphofructokinase, pyruvate carboxylase, phosphoenolpyruvate carboxykinase, glucagon, cortisol, and other related regulators (Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>).</p>
<p>At present, it is unclear how different energy systems contribute during HIHY. In general, yoga studies have focused on the psychological aspects and benefits, and during HIHY only physiological parameters such as VO<sub>2peak</sub>, peak lactate concentration (peak La<sup>&#x02212;</sup>), and peak heart rate (HR<sub>peak</sub>) have been analyzed. Following HIHY, the traditional passive recovery process of <italic>savasana</italic> has commonly been utilized although an active recovery causes faster physiological regeneration. Therefore, this study aimed to define the different energetic contributions during HIHY and to compare the magnitude of changes in physiological parameters between passive and active recovery after HIHY.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Ethical Approval</title>
<p>This study was approved by the Institutional Ethics Committee of CHA University (No. 1044308-202007-HR-026-02). The applied protocols align with the Declaration of Helsinki. All participants signed an informed consent form.</p>
</sec>
<sec>
<title>Participants</title>
<p>In this study, 20 female yoga instructors (<italic>n</italic> = 20) participated. They were recruited from Korea Yoga Alliance (KYA) in the Seoul region and had completed the yoga teacher 300-h program (RYT 300) before study participation. All participants practiced yoga for at least more than 5 years. They practiced yoga independently for 10&#x02013;12 h per week, without performing any other exercise. The anthropometric parameters of all participants were as follows (<italic>M</italic> &#x000B1; <italic>SD</italic>): age: 31.0 &#x000B1; 4.2 years, height: 163.7 &#x000B1; 4.2 cm, bodyweight: 54.6 &#x000B1; 5.3 kg, body fat: 24.1 &#x000B1; 5.4%, BMI: 20.4 &#x000B1; 1.9 kg&#x000B7;m<sup>&#x02212;2</sup> (active recovery group (<italic>n</italic> = 10); age: 28.7 &#x000B1; 4.4 years, height: 162.4 &#x000B1; 3.5 cm, bodyweight: 53.9 &#x000B1; 4.1 kg, body fat: 26 &#x000B1; 4.6%, BMI: 20.4 &#x000B1; 1.2 kg&#x000B7;m<sup>&#x02212;2</sup>, passive recovery group (<italic>n</italic> = 10); age: 33.3 &#x000B1; 2.7 years, height: 165 &#x000B1; 4.5 cm, bodyweight: 55.4 &#x000B1; 6.5 kg, body fat: 22.6 &#x000B1; 5.8%, BMI: 20.3 &#x000B1; 2.5 kg&#x000B7;m<sup>&#x02212;2</sup>) (<xref ref-type="table" rid="T1">Table 1</xref>). After lunchtime, participants rested for 2 h and conducted the HIHY experiment. The participants did not take any medication during the test procedures and abstained from alcohol and nicotine for at least 24 h before the experiment.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Anthropometric data.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="left"><bold>Active recovery (<italic>n</italic> &#x0003D; 10)</bold></th>
<th valign="top" align="left"><bold>Passive recovery (<italic>n</italic> &#x0003D; 10)</bold></th>
<th valign="top" align="left"><bold>All participants (<italic>n</italic> &#x0003D; 20)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="left"><bold>(Mean &#x000B1; SD)</bold></th>
<th valign="top" align="left"><bold>(Mean &#x000B1; SD)</bold></th>
<th valign="top" align="left"><bold>(Mean &#x000B1; SD)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="left">28.70 &#x000B1; 4.45</td>
<td valign="top" align="left">33.30 &#x000B1; 2.71</td>
<td valign="top" align="left">31.00 &#x000B1; 4.29</td>
</tr>
<tr>
<td valign="top" align="left">Height (cm)</td>
<td valign="top" align="left">162.41 &#x000B1; 3.56</td>
<td valign="top" align="left">165.09 &#x000B1; 4.58</td>
<td valign="top" align="left">163.75 &#x000B1; 4.22</td>
</tr>
<tr>
<td valign="top" align="left">Body weight (kg)</td>
<td valign="top" align="left">53.94 &#x000B1; 4.18</td>
<td valign="top" align="left">55.40 &#x000B1; 6.51</td>
<td valign="top" align="left">54.67 &#x000B1; 5.37</td>
</tr>
<tr>
<td valign="top" align="left">Body fat (%)</td>
<td valign="top" align="left">26.08 &#x000B1; 4.68</td>
<td valign="top" align="left">22.63 &#x000B1; 5.80</td>
<td valign="top" align="left">24.18 &#x000B1; 5.43</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg&#x000B7;m<sup>&#x02212;2</sup>)</td>
<td valign="top" align="left">20.44 &#x000B1; 1.26</td>
<td valign="top" align="left">20.35 &#x000B1; 2.53</td>
<td valign="top" align="left">20.40 &#x000B1; 1.95</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Experimental Design</title>
<p>All participants conducted HIHY (<italic>n</italic> = 20) and were randomly separated into active (walking; <italic>n</italic> = 10) and passive (<italic>savasana</italic>; <italic>n</italic> = 10) recovery groups (<xref ref-type="fig" rid="F1">Figure 1</xref>). HIHY consisted of 19 SS physical exercises (<italic>asanas</italic>) of the Surya Namaskar B sequence (<xref ref-type="fig" rid="F2">Figure 2A</xref>). The HIHY duration of each movement lasted 1.5 s using a metronome and the entire HIHY was conducted for 10 min, which was modified from a previous study (Potiaumpai et al., <xref ref-type="bibr" rid="B31">2017</xref>). Active recovery was performed by walking while maintaining 40&#x02013;45% of the estimated maximal heart rate (Gellish et al., <xref ref-type="bibr" rid="B14">2007</xref>; Guru et al., <xref ref-type="bibr" rid="B15">2013</xref>) while the passive recovery was conducted in the lying position for 10 min (<xref ref-type="fig" rid="F2">Figure 2B</xref>) (Sharma et al., <xref ref-type="bibr" rid="B35">2007</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Study procedure. All subjects conducted high-intensity hatha yoga (<italic>n</italic> = 20) and were randomly separated into active (walking; <italic>n</italic> = 10) and passive (<italic>savasana</italic>; <italic>n</italic> = 10) recovery groups.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphys-12-743859-g0001.tif"/>
</fig>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>(A)</bold> Sequence of high-intensity hatha yoga: Ashtanga Vinyasa Yoga, Surya Namaskar B (10-min duration). <bold>(B)</bold> <italic>Savasana</italic>; passive recovery, Walking; active recovery (40&#x02013;45% of estimated maximal heart rate, 10-min duration).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphys-12-743859-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Anthropometry, Blood Sampling, and Processing</title>
<p>Anthropometric parameters were assessed and measured using 8-electrode segmental multi-frequency (20&#x02013;100 kHz) bioelectrical impedance analysis (BIA) (InBody 270; InBody Co. Ltd., Seoul, Korea) which enables segmental impedance measurement of arms and legs. The maximal heart rate was estimated using an equation described in the previous study (Gellish et al., <xref ref-type="bibr" rid="B14">2007</xref>). In addition, METs of VO<sub>2peak</sub> and VO<sub>2mean</sub> during HIHY were calculated (Ainsworth et al., <xref ref-type="bibr" rid="B1">2011</xref>). During 5 min rest, 10 min HIHY, and 10 min recovery phase, monitoring of heart rate using a Polar H10 (Polar Electro, Kempele, Finland) (HR<sub>peak</sub>, HR<sub>mean</sub>, HR<sub>post</sub>, and &#x00394;HR), oxygen uptake (VO<sub>2peak</sub>, VO<sub>2mean</sub>, VO<sub>2post</sub>, and &#x00394;VO<sub>2</sub>), and blood lactate concentration (peak La<sup>&#x02212;</sup>, recovery La<sup>&#x02212;</sup>, and recovery &#x00394;La<sup>&#x02212;</sup>) was performed. Capillary blood (20 &#x003BC;L) was sampled from the earlobe before and after HIHY as well as from the 1st to the 10th minute after different recovery to measure blood lactate concentration. La<sup>&#x02212;</sup> was analyzed by an enzymatic-amperometric sensor chip system (Biosen C-line, EKF diagnostics sales, GmbH, Barleben, Germany). Oxygen uptake was measured breath-by-breath using a mobile gas analyzer MetaMax 3B (Cortex Biophysik, Leipzig, Germany). The gas analyzer was calibrated using calibration gas (15% O<sub>2</sub>, 5% CO<sub>2</sub>; Cortex Biophysik, Leipzig, Germany), and the turbine volume transducer was calibrated with a 3 L syringe (Hans Rudolph, Kansas City, MO, USA).</p>
</sec>
<sec>
<title>Calculations of Metabolic Energy Contribution</title>
<p>Calculations of energetic contribution were based on measurement of VO<sub>2</sub> during HIHY and peak La<sup>&#x02212;</sup>, and VO<sub>2</sub> after HIHY, respectively (Campos et al., <xref ref-type="bibr" rid="B6">2012</xref>). The phosphagen system contribution (W<sub>PCR</sub>) was calculated by considering the fast component of excess VO<sub>2</sub> after HIHY (EPOC<sub>FAST</sub>; 6 min <italic>Off</italic> VO<sub>2</sub> kinetics). The value of W<sub>PCR</sub> was estimated by subtracting rest VO<sub>2</sub> (VO<sub>2rest</sub>) from the fast component VO<sub>2post</sub>. The VO<sub>2post</sub> data were fitted to a mono-exponential model because the slow component of the bi-exponential model was negligible (de Campos Mello et al., <xref ref-type="bibr" rid="B10">2009</xref>; Campos et al., <xref ref-type="bibr" rid="B6">2012</xref>). The contribution of the glycolytic system (W<sub>Gly</sub>) was calculated as La<sup>&#x02212;</sup> after HIHY, assuming that the accumulation of 1 mmol&#x000B7;L<sup>&#x02212;1</sup> is equivalent to 3 mL O<sub>2</sub> kg<sup>&#x02212;1</sup> of body mass (di Prampero and Ferretti, <xref ref-type="bibr" rid="B11">1999</xref>). The difference in La<sup>&#x02212;</sup> (&#x00394;La<sup>&#x02212;</sup>) was calculated as the lactate concentration after HIHY, minus the lactate concentration at rest. The oxidative energy (W<sub>Oxi</sub>) was estimated by subtracting VO<sub>2rest</sub> from VO<sub>2</sub> during HIHY by the trapezoidal method in which areas under the curve were divided into sections and then the sum of each trapezoid was used to estimate the integral (Campos et al., <xref ref-type="bibr" rid="B6">2012</xref>; Yang et al., <xref ref-type="bibr" rid="B39">2018</xref>; Park et al., <xref ref-type="bibr" rid="B29">2021</xref>). The value of VO<sub>2rest</sub> was determined in the standing position from the average of the last 30 s of a 5 min period (Campos et al., <xref ref-type="bibr" rid="B6">2012</xref>). The caloric quotient of 20.92 kJ was utilized in all three energy systems (Gastin, <xref ref-type="bibr" rid="B13">2001</xref>). The total energy demand was estimated as the sum of the three energy systems (W<sub>PCR</sub> &#x0002B; W<sub>Gly</sub> &#x0002B; W<sub>Oxi</sub>) (di Prampero and Ferretti, <xref ref-type="bibr" rid="B11">1999</xref>; de Campos Mello et al., <xref ref-type="bibr" rid="B10">2009</xref>; Campos et al., <xref ref-type="bibr" rid="B6">2012</xref>; Yang et al., <xref ref-type="bibr" rid="B39">2018</xref>; Park et al., <xref ref-type="bibr" rid="B29">2021</xref>).</p>
</sec>
<sec>
<title>Statistical Analyses</title>
<p>All data were statistically analyzed using GraphPad Prism 9.1.2 (GraphPad Prism Software, La Jolla, CA, USA). The data are presented as <italic>M</italic> &#x000B1; <italic>SD</italic> and normal distribution was performed using the Shapiro-Wilk test. Energetic contribution variables (kJ and %) were compared using a repeated-measures ANOVA with Bonferroni <italic>post-hoc</italic> testing. Other physiological variables were analyzed by independent <italic>t</italic>-test and Mann-Whitney-U rank test. The effect sizes (Cohen&#x00027;s <italic>d</italic> and <italic>Z</italic>/&#x0221A;<italic>N</italic>) were calculated and thresholds for small, moderate, and large effects were 0.2, 0.5, and 0.8 (parametric), and 0.1, 0.3, and 0.5 (non-parametric), respectively (Fritz et al., <xref ref-type="bibr" rid="B12">2012</xref>). Statistical difference was considered significant at <italic>p</italic> &#x0003C; 0.05 and <italic>p</italic> &#x0003C; 0.01.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Physiological Parameters and Energetic Contribution During HIHY</title>
<p>Physiological parameters showed no significant differences between active and passive groups during HIHY (<xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T3">3</xref>). Values of HR<sub>peak</sub>, HR<sub>mean</sub>, METs of VO<sub>2peak</sub> and VO<sub>2mean</sub>, and La<sup>&#x02212;</sup> during HIHY were 95.6% of HR<sub>max</sub>, 88.7% of HR<sub>max</sub>, 10.54 &#x000B1; 1.18, 8.67 &#x000B1; 0.98 METs, and 8.31 &#x000B1; 2.18 mmol&#x000B7;L<sup>&#x02212;1</sup>, respectively (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Energetic contribution and physiological parameters during high-intensity hatha yoga.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>Participants (<italic>n</italic> &#x0003D; 20)</bold></th>
<th valign="top" align="center"><bold>Significance</bold></th>
<th valign="top" align="center"><bold>Effect size (ES)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>(Mean &#x000B1; SD)</bold></th>
<th valign="top" align="center"><bold>(<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>(<italic>d</italic>)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">W<sub>PCR</sub> (kJ)</td>
<td valign="top" align="center">33.95 &#x000B1; 11.32</td>
<td valign="top" align="center">0.0232&#x0002A; vs. W<sub>Gly</sub> (kJ)</td>
<td valign="top" align="center"><italic>d</italic> = 0.93</td>
</tr>
<tr>
<td valign="top" align="left">W<sub>Gly</sub> (kJ)</td>
<td valign="top" align="center">24.90 &#x000B1; 7.63</td>
<td valign="top" align="center">&#x0003C;0.0001&#x0002A;&#x0002A;&#x0002A;&#x0002A; vs. W<sub>Oxi</sub> (kJ)</td>
<td valign="top" align="center"><italic>d</italic> = &#x02212;1.30</td>
</tr>
<tr>
<td valign="top" align="left">Anaerobic (kJ) (W<sub>PCR</sub> &#x0002B; W<sub>Gly</sub>)</td>
<td valign="top" align="center">58.84 &#x000B1; 14.25</td>
<td valign="top" align="center">&#x0003C;0.0001&#x0002A;&#x0002A;&#x0002A;&#x0002A; vs. W<sub>Oxi</sub> (kJ)</td>
<td valign="top" align="center"><italic>d</italic> = 7.41</td>
</tr>
<tr>
<td valign="top" align="left">W<sub>Oxi</sub> (kJ)</td>
<td valign="top" align="center">279.33 &#x000B1; 47.93</td>
<td valign="top" align="center">&#x0003C;0.0001&#x0002A;&#x0002A;&#x0002A;&#x0002A; vs. W<sub>PCR</sub> (kJ)</td>
<td valign="top" align="center"><italic>d</italic> = 7.04</td>
</tr>
<tr>
<td valign="top" align="left">W<sub>Total</sub> (kJ)</td>
<td valign="top" align="center">333.68 &#x000B1; 47.47</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">W<sub>PCR</sub> (%)</td>
<td valign="top" align="center">10.34 &#x000B1; 3.69</td>
<td valign="top" align="center">0.0437&#x0002A; vs. W<sub>Gly</sub> (%)</td>
<td valign="top" align="center"><italic>d</italic> = 0.79</td>
</tr>
<tr>
<td valign="top" align="left">W<sub>Gly</sub> (%)</td>
<td valign="top" align="center">7.70 &#x000B1; 2.88</td>
<td valign="top" align="center">&#x0003C;0.0001&#x0002A;&#x0002A;&#x0002A;&#x0002A; vs. W<sub>Oxi</sub> (kJ)</td>
<td valign="top" align="center"><italic>d</italic> = &#x02212;17.35</td>
</tr>
<tr>
<td valign="top" align="left">Anaerobic (%) (W<sub>PCR</sub> &#x0002B; W<sub>Gly</sub>)</td>
<td valign="top" align="center">18.04 &#x000B1; 5.32</td>
<td valign="top" align="center">&#x0003C;0.0001&#x0002A;&#x0002A;&#x0002A;&#x0002A; vs. W<sub>Oxi</sub> (kJ)</td>
<td valign="top" align="center"><italic>d</italic> = 12.01</td>
</tr>
<tr>
<td valign="top" align="left">W<sub>Oxi</sub> (%)</td>
<td valign="top" align="center">81.96 &#x000B1; 5.32</td>
<td valign="top" align="center">&#x0003C;0.0001&#x0002A;&#x0002A;&#x0002A;&#x0002A; vs. W<sub>PCR</sub> (kJ)</td>
<td valign="top" align="center"><italic>d</italic> = 15.64</td>
</tr>
<tr>
<td valign="top" align="left">Estimated HR<sub>max</sub> (beats&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">185.30 &#x000B1; 3.00</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">HR<sub>peak</sub> (beats&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">177.21 &#x000B1; 11.77</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">HR<sub>mean</sub> (beats&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">164.47 &#x000B1; 12.14</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">VO<sub>2peak</sub> (mL&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">36.90 &#x000B1; 4.14</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">METs (VO<sub>2peak</sub>)</td>
<td valign="top" align="center">10.54 &#x000B1; 1.18</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">VO<sub>2mean</sub> (mL&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">30.35 &#x000B1; 3.44</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">METs (VO<sub>2mean</sub>)</td>
<td valign="top" align="center">8.67 &#x000B1; 0.98</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Peak La<sup>&#x02212;</sup> (mmol&#x000B7;L<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">8.31 &#x000B1; 2.18</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>W<sub>PCR</sub>, W<sub>Gly</sub>, W<sub>Oxi</sub>, absolute (kJ) and relative (%) energetic contribution from phosphagen, glycolytic, and oxidative system; HR<sub>max</sub>, estimated maximal heart rate; HR<sub>peak</sub>, highest heart rate; HR<sub>mean</sub>, mean heart rate; peak La<sup>&#x02212;</sup>, highest level of blood lactate; METs, metabolic equivalents; VO<sub>2peak</sub>, highest oxygen uptake; VO<sub>2mean</sub>, mean oxygen uptake; anaerobic, phosphagen &#x0002B; glycolytic energy contributions</italic>.</p>
<p><italic><sup>&#x0002A;</sup>p &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;&#x0002A;&#x0002A;</sup>p &#x0003C; 0.0001</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Physiological parameters during high-intensity hatha yoga and 10 min recovery between different groups.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>Active recovery (<italic>n</italic> &#x0003D; 10)</bold></th>
<th valign="top" align="center"><bold>Passive recovery (<italic>n</italic> &#x0003D; 10)</bold></th>
<th valign="top" align="center"><bold>Significance</bold></th>
<th valign="top" align="center"><bold>Effect size (ES)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>(Mean &#x000B1; SD)</bold></th>
<th valign="top" align="center"><bold>(Mean &#x000B1; SD)</bold></th>
<th valign="top" align="center"><bold>(<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>(<italic>d</italic> and <italic>r</italic>)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">HR<sub>peak</sub> (beats&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">175.77 &#x000B1; 9.34</td>
<td valign="top" align="center">178.65 &#x000B1; 13.09</td>
<td valign="top" align="center">ns</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">HR<sub>post</sub> (beats&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">116.87 &#x000B1; 9.88</td>
<td valign="top" align="center">107.97 &#x000B1; 11.66</td>
<td valign="top" align="center">ns</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x00394;HR (beats&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">58.91 &#x000B1; 12.41</td>
<td valign="top" align="center">70.68 &#x000B1; 15.85</td>
<td valign="top" align="center">ns</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">VO<sub>2peak</sub> (mL&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">38.21 &#x000B1; 3.60</td>
<td valign="top" align="center">35.59 &#x000B1; 4.40</td>
<td valign="top" align="center">ns</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">VO<sub>2post</sub> (mL&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">12.80 &#x000B1; 1.40</td>
<td valign="top" align="center">5.77 &#x000B1; 1.65</td>
<td valign="top" align="center">&#x0003C;0.0001&#x0002A;&#x0002A;&#x0002A;&#x0002A;</td>
<td valign="top" align="center"><italic>r</italic> = &#x02212;0.84</td>
</tr>
<tr>
<td valign="top" align="left">&#x00394;VO<sub>2</sub> (mL&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">25.41 &#x000B1; 3.89</td>
<td valign="top" align="center">29.82 &#x000B1; 2.91</td>
<td valign="top" align="center">0.0115&#x0002A;</td>
<td valign="top" align="center"><italic>r</italic> = &#x02212;0.45</td>
</tr>
<tr>
<td valign="top" align="left">Peak La<sup>&#x02212;</sup> (mmol&#x000B7;L<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">7.77 &#x000B1; 1.88</td>
<td valign="top" align="center">8.85 &#x000B1; 2.41</td>
<td valign="top" align="center">ns</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Recovery La<sup>&#x02212;</sup> (mmol&#x000B7;L<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">5.70 &#x000B1; 1.67</td>
<td valign="top" align="center">7.44 &#x000B1; 2.15</td>
<td valign="top" align="center">0.0291&#x0002A;</td>
<td valign="top" align="center"><italic>d</italic> = &#x02212;0.90</td>
</tr>
<tr>
<td valign="top" align="left">Recovery &#x00394;La<sup>&#x02212;</sup> (mmol&#x000B7;L<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">2.07 &#x000B1; 0.75</td>
<td valign="top" align="center">1.42 &#x000B1; 0.53</td>
<td valign="top" align="center">0.0369&#x0002A;</td>
<td valign="top" align="center"><italic>d</italic> = 1.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>HR<sub>peak</sub>, highest heart rate; HR<sub>post</sub>, heart rate after recovery; &#x00394;HR, delta heart rate between HR<sub>peak</sub> and HR<sub>post</sub>; VO<sub>2peak</sub>, highest oxygen uptake; VO<sub>2post</sub>, oxygen uptake after recovery; &#x00394;VO<sub>2</sub>, delta oxygen uptake between VO<sub>2peak</sub> and VO<sub>2post</sub>; peak La<sup>&#x02212;</sup>, the highest level of blood lactate; recovery La<sup>&#x02212;</sup>, blood lactate concentration after recovery; recovery &#x00394;La<sup>&#x02212;</sup>, delta blood lactate concentration between peak La<sup>&#x02212;</sup> and recovery La<sup>&#x02212;</sup></italic>.</p>
<p><italic><sup>&#x0002A;</sup> p &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;&#x0002A;&#x0002A;</sup> p &#x0003C; 0.0001</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>The absolute value (kJ) of W<sub>Oxi</sub> was significantly higher compared with W<sub>PCR</sub>, W<sub>Gly</sub>, and anaerobic energy contribution (W<sub>PCR</sub> &#x0002B; W<sub>Gly</sub>) during HIHY [<italic>p</italic> &#x0003C; 0.0001; ES (<italic>d</italic>): 7.04, ES (<italic>d</italic>): &#x02212;1.30, ES (<italic>d</italic>): 7.41, respectively]. Furthermore, the absolute W<sub>PCR</sub> value was higher compared with W<sub>Gly</sub> [<italic>p</italic> = 0.0232; ES (<italic>d</italic>): 0.93] (<xref ref-type="fig" rid="F3">Figure 3A</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). As well, the relative values (%) for energetic contributions showed the same significant differences as the absolute values [<italic>p</italic> &#x0003C; 0.0001; ES (<italic>d</italic>): 15.64, ES (<italic>d</italic>): &#x02212;17.35, ES (<italic>d</italic>): 12.01, <italic>p</italic> = 0.0437; ES (<italic>d</italic>): 0.79, respectively] (<xref ref-type="fig" rid="F3">Figure 3B</xref>; <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Energetic contribution. <italic>M</italic> &#x000B1; <italic>SD</italic>. <bold>(A)</bold> Absolute and <bold>(B)</bold> relative energetic contribution during high-intensity hatha yoga. &#x0002A;<italic>p</italic> &#x0003C; 0.05 (phosphagen vs. glycolytic energy contribution), &#x0002A;&#x0002A;&#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.0001 (oxidative vs. glycolytic energy contribution), &#x0002A;&#x0002A;&#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.0001 (oxidative vs. phosphagen energy contribution), &#x0002A;&#x0002A;&#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.0001 [anaerobic (W<sub>PCR</sub> &#x0002B; W<sub>Gly</sub>) vs. oxidative energy contribution].</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphys-12-743859-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Physiological Parameters During Active and Passive Recovery</title>
<p>After different recovery phases, VO<sub>2post</sub> was significantly higher in the active recovery group compared with the passive group [<italic>p</italic> &#x0003C; 0.0001; ES (<italic>r</italic>): &#x02212;0.84]. The value of &#x00394;VO<sub>2</sub> between VO<sub>2peak</sub> and VO<sub>2post</sub> was significantly lower in the active group compared with the passive group [<italic>p</italic> = 0.0115; ES (<italic>r</italic>): &#x02212;0.45] (<xref ref-type="table" rid="T3">Table 3</xref>). Furthermore, recovery La<sup>&#x02212;</sup> was significantly lower in the active group compared with the passive group [<italic>p</italic> = 0.0291; ES (<italic>d</italic>): &#x02212;0.90] (<xref ref-type="fig" rid="F4">Figure 4A</xref>; <xref ref-type="table" rid="T3">Table 3</xref>). Accordingly, recovery &#x00394;La<sup>&#x02212;</sup> was significantly higher in the active group compared with the passive group [<italic>p</italic> = 0.0369; ES (<italic>d</italic>): 1] (<xref ref-type="fig" rid="F4">Figure 4C</xref>; <xref ref-type="table" rid="T3">Table 3</xref>). Other physiological variables such as HR<sub>peak</sub>, HR<sub>post</sub>, &#x00394;HR, VO<sub>2peak</sub>, and peak La<sup>&#x02212;</sup> showed no significant differences between groups (<xref ref-type="fig" rid="F4">Figure 4B</xref>; <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p><bold>(A)</bold> Blood lactate concentration for active recovery group and passive recovery group, before high-intensity hatha yoga (HIHY) (resting La<sup>&#x02212;</sup>), after high-intensity hatha yoga (peak La<sup>&#x02212;</sup>), after 10-min recovery (recovery La<sup>&#x02212;</sup>), <bold>(B)</bold> Change in lactate concentration (&#x00394;La<sup>&#x02212;</sup>) between resting blood lactate and peak blood lactate after high-intensity hatha yoga, <bold>(C)</bold> Change in lactate concentration (&#x00394;La<sup>&#x02212;</sup>) between peak blood lactate after high-intensity hatha yoga and blood lactate after 10-min recovery. Data are minimum to maximum and median values. ns: <italic>p</italic> &#x0003E; 0.05, &#x0002A;<italic>p</italic> &#x0003C; 0.05.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphys-12-743859-g0004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The metabolic energy contributions during HIHY are currently unclear and it is somewhat controversial which recovery methods are physiologically more efficient after HIHY. To the best of our knowledge, this study is the first to evaluate how different energy systems contribute during HIHY and how physiological parameters are influenced by different recovery methods (active vs. passive) afterward. The major findings indicated that oxidative energy predominates over anaerobic energy contributions (W<sub>PCR</sub> and W<sub>Gly</sub>).</p>
<p>Randomly assigned participants in recovery groups showed no significant differences in HR<sub>peak</sub>, HR<sub>mean</sub>, VO<sub>2peak</sub>, VO<sub>2mean</sub>, and peak La<sup>&#x02212;</sup> during HIHY. These indicated that all participants conducted the same HIHY workout. Additionally, values of HR<sub>peak</sub> (95.6% of HR<sub>max</sub>), HR<sub>mean</sub> (88.7% of HR<sub>max</sub>), METs (10.5 and 8.5), and peak La<sup>&#x02212;</sup> (8.3 mmol&#x000B7;L<sup>&#x02212;1</sup>) exhibited parameters consistent with HIE (&#x0003E;90%, &#x02265;6 METs; vigorous/heavy, &#x0003E;4 mmol&#x000B7;L<sup>&#x02212;1</sup>; zone 3: HIE, respectively) (Jett&#x000E9; et al., <xref ref-type="bibr" rid="B21">1990</xref>; Billat, <xref ref-type="bibr" rid="B2">2001</xref>; Ainsworth et al., <xref ref-type="bibr" rid="B1">2011</xref>; Treff et al., <xref ref-type="bibr" rid="B37">2019</xref>; Jamnick et al., <xref ref-type="bibr" rid="B20">2020</xref>). Furthermore, VO<sub>2peak</sub> (36.9 mL&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>) indicated a result similar to a previous study in which a VO<sub>2max</sub> of 37.5 mL&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup> during HIHY was reported (<xref ref-type="table" rid="T2">Table 2</xref>) (Papp et al., <xref ref-type="bibr" rid="B27">2016</xref>). Regarding the energetic contribution, a predominant utilization of W<sub>Oxi</sub> in kJ and % (81.9%) was found and was dominant over W<sub>PCR</sub>, W<sub>Gly</sub>, and the entire anaerobic system (W<sub>PCR</sub> &#x0002B; W<sub>Gly</sub>). These results were influenced by the duration of HIHY (10 min) and decreased the contribution provided by the glycolytic energy system (Heck et al., <xref ref-type="bibr" rid="B19">2003</xref>; Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>; Park et al., <xref ref-type="bibr" rid="B29">2021</xref>). To obtain a maximal lactate production rate, 10 s exercise duration was suggested because the contribution of the glycolytic system (accumulated lactate rate) decreases with increasing duration of maximal exercise, due to inhibition of phosphofructokinase activity (Heck et al., <xref ref-type="bibr" rid="B19">2003</xref>). Consistent with this, previous studies have shown that the contribution of the oxidative energy system was increased as a consequence of increased VO<sub>2</sub> uptake during taekwondo (62&#x02013;70%) and 2,000 m rowing (83&#x02013;85%), activities which lasted &#x0007E;6 and 8.5 min, respectively, while the glycolytic system was reduced (de Campos Mello et al., <xref ref-type="bibr" rid="B10">2009</xref>; Campos et al., <xref ref-type="bibr" rid="B6">2012</xref>).</p>
<p>After 10 min recovery phases, the active recovery group (40&#x02013;45% of HR<sub>max</sub>) had faster lactate clearance (resynthesis) than the passive recovery group (<xref ref-type="fig" rid="F4">Figures 4A,C</xref>). Consequently, higher VO<sub>2post</sub> and lower &#x00394;VO<sub>2</sub> were found in the active recovery group compared with the passive (<xref ref-type="table" rid="T3">Table 3</xref>). This is consistent with a previous study that reported blood lactate concentration after intense running (VO<sub>2max</sub> and lactate threshold test) was reduced more by active rather than passive recovery regimens with intensities of 25&#x02013;63% of VO<sub>2max</sub> and 40&#x02013;80% of lactate threshold (Menzies et al., <xref ref-type="bibr" rid="B24">2010</xref>). For a low-intensity activity or exercise, such as walking or jogging ATP resynthesis is affected more by substrate-level and oxidative phosphorylation reactions than by accumulated lactate concentration (Rodr&#x000ED;guez and Mader, <xref ref-type="bibr" rid="B33">2011</xref>; Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>). In particular, this mechanism is affected by more skeletal muscle activation, including more O<sub>2</sub> uptake into skeletal muscle cells (Cupeiro et al., <xref ref-type="bibr" rid="B8">2016</xref>; Brooks, <xref ref-type="bibr" rid="B5">2018</xref>; Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>). It mostly occurs in type 1 muscle fibers which predominantly express monocarboxylic transport 1 (MCT1) while MCT2 is prominently expressed in the liver. MCT1 is the most important protein for lactate transport into or out of red blood cells (Menzies et al., <xref ref-type="bibr" rid="B24">2010</xref>; Brooks, <xref ref-type="bibr" rid="B5">2018</xref>; Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>). The study of Yang et al. suggested that accumulated lactate is predominantly eliminated by the Cori cycle during the low-intensity exercise/recovery phase (Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>). As evidence of the mechanism in the liver, hepatic blood flow is increased and muscle lactate output and hepatic lactate uptake are similar during recovery, while a two-third decrease in hepatic blood flow is among the most distinct alterations during HIE in humans (Nielsen et al., <xref ref-type="bibr" rid="B26">2007</xref>). With regard to this aspect, when exercise intensity is higher than 50% of VO<sub>2max</sub>, gluconeogenesis is decreased because of reduced hepatic blood flow (Nielsen et al., <xref ref-type="bibr" rid="B26">2007</xref>; Yang et al., <xref ref-type="bibr" rid="B40">2020</xref>). After active recovery in this study, VO<sub>2post</sub> was 33% of VO<sub>2peak</sub> during HIHY (<xref ref-type="table" rid="T3">Table 3</xref>). Therefore, lactate accumulated during HIHY might be resynthesized in large part by gluconeogenesis during active recovery in the liver. According to the findings of this study, active recovery is more effective at regenerating the metabolic system after 10 min HIHY.</p>
<p>This study identified the energetic contribution during HIHY and physiological differences between active and passive recovery. However, this study has some limitations. The baseline VO<sub>2max</sub>, which can enable the determination of VO<sub>2</sub> levels during HIHY as percentages of VO<sub>2max</sub>, was not measured in this study. Furthermore, the pure contribution of the calculated glycolytic energy system was limited. This was underestimated because lactate elimination and production rate could not be analyzed between HIHY. Therefore, further studies are expected to investigate different durations of exercise, e.g., 2, 4, 6, 8, and 10 min, which should be randomly determined and blinded to the duration. Furthermore, 10 min HIHY should be used and considered in interventional studies of how cardiovascular/cardiorespiratory fitness such as VO<sub>2max</sub> and VO<sub>2peak</sub> will be changed in different populations, such as the unskilled general public.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Our findings indicated that 10 min HIHY is suitable for an HIE session based on the high levels of physiological parameters and energetic contributions. Because of the high level of exercise intensity, this form of exercise is appropriate for relatively healthy employees in the workplace who may have HY experience, but do not have time for physical exercise. However, for safety, HIHY should be preceded by appropriate warm-up exercises, such as the classical sun salutation, which is performed slowly. Finally, this study found that active recovery is a more helpful method compared with traditional passive (<italic>savasana</italic>) recovery after 10 min HIHY. After active recovery, people can participate in further HIHY sessions during short breaks such as lunchtime. Consequently, a quicker return to the workplace can be supported by metabolic regeneration.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Ethics Committee of CHA University (No. 1044308-202007-HR-026-02). The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>K-HL and W-HY were involved in study conception and design and wrote the first draft of the manuscript. K-HL, H-MJ, and W-HY collected the data and analyzed the data. All authors revised, edited, and approved the final manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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>
</body>
<back>
<ack><p>The authors would like to thank all participants for participating in this study.</p>
</ack>

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