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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.2017.00172</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>Functional High-Intensity Circuit Training Improves Body Composition, Peak Oxygen Uptake, Strength, and Alters Certain Dimensions of Quality of Life in Overweight Women</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sperlich</surname> <given-names>Billy</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/115103/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wallmann-Sperlich</surname> <given-names>Birgit</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/403715/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zinner</surname> <given-names>Christoph</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/359422/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Von Stauffenberg</surname> <given-names>Valerie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Losert</surname> <given-names>Helena</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/423718/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Holmberg</surname> <given-names>Hans-Christer</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Integrative and Experimental Exercise Science, Institute of Sport Science, University of W&#x000FC;rzburg</institution> <country>W&#x000FC;rzburg, Germany</country></aff>
<aff id="aff2"><sup>2</sup><institution>Institute of Sport Science, University of W&#x000FC;rzburg</institution> <country>W&#x000FC;rzburg, Germany</country></aff>
<aff id="aff3"><sup>3</sup><institution>Institute of Health Promotion and Clinical Movement Science, German Sport University Cologne</institution> <country>Cologne, Germany</country></aff>
<aff id="aff4"><sup>4</sup><institution>School of Kinesiology, University of British Columbia</institution> <country>Vancouver, BC, Canada</country></aff>
<aff id="aff5"><sup>5</sup><institution>School of Sport Sciences, University of Troms&#x000F8;&#x02014;Arctic University of Norway</institution> <country>Troms&#x000F8;, Norway</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Luca Paolo Ardig&#x000F2;, University of Verona, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Beat Knechtle, University of Zurich, Switzerland; Alessandro Moura Zagatto, Universidade Estadual Paulista J&#x000FA;lio Mesquita Filho, Brazil; Hassane Zouhal, University of Rennes 2&#x02014;Upper Brittany, France</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Billy Sperlich <email>billy.sperlich&#x00040;uni-wuerzburg.de</email></p></fn>
<fn fn-type="other" id="fn002"><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>03</day>
<month>04</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>172</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>01</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>03</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Sperlich, Wallmann-Sperlich, Zinner, Von Stauffenberg, Losert and Holmberg.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Sperlich, Wallmann-Sperlich, Zinner, Von Stauffenberg, Losert and Holmberg</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) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>The effects of circuit-like functional high-intensity training (Circuit<sub>HIIT</sub>) alone or in combination with high-volume low-intensity exercise (Circuit<sub>combined</sub>) on selected cardio-respiratory and metabolic parameters, body composition, functional strength and the quality of life of overweight women were compared. In this single-center, two-armed randomized, controlled study, overweight women performed 9-weeks (3 sessions&#x000B7;wk<sup>&#x02212;1</sup>) of either Circuit<sub>HIIT</sub> (<italic>n</italic> &#x0003D; 11), or Circuit<sub>combined</sub> (<italic>n</italic> &#x0003D; 8). Peak oxygen uptake and perception of physical pain were increased to a greater extent (<italic>p</italic> &#x0003C; 0.05) by Circuit<sub>HIIT</sub>, whereas Circuit<sub>combined</sub> improved perception of general health more (<italic>p</italic> &#x0003C; 0.05). Both interventions lowered body mass, body-mass-index, waist-to-hip ratio, fat mass, and enhanced fat-free mass; decreased ratings of perceived exertion during submaximal treadmill running; improved the numbers of push-ups, burpees, one-legged squats, and 30-s skipping performed, as well as the height of counter-movement jumps; and improved physical and social functioning, role of physical limitations, vitality, role of emotional limitations, and mental health to a similar extent (all <italic>p</italic> &#x0003C; 0.05). Either forms of these multi-stimulating, circuit-like, multiple-joint training can be employed to improve body composition, selected variables of functional strength, and certain dimensions of quality of life in overweight women. However, Circuit<sub>HIIT</sub> improves peak oxygen uptake to a greater extent, but with more perception of pain, whereas Circuit<sub>combined</sub> results in better perception of general health.</p></abstract>
<kwd-group>
<kwd>aerobic fitness</kwd>
<kwd>body composition</kwd>
<kwd>female</kwd>
<kwd>functional training</kwd>
<kwd>interval training</kwd>
<kwd>power training</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="9"/>
<word-count count="6580"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Programs designed to improve cardiovascular, metabolic, and psychological health have begun to replace low-intensity exercise by repeated short-to-long bouts of high-intensity exercise with intervals of recovery [referred to as high-intensity interval training (HIIT)] (Kessler et al., <xref ref-type="bibr" rid="B30">2012</xref>; Little and Francois, <xref ref-type="bibr" rid="B33">2014</xref>; Elliott et al., <xref ref-type="bibr" rid="B14">2015</xref>; Gielen et al., <xref ref-type="bibr" rid="B17">2015</xref>; Schmitt et al., <xref ref-type="bibr" rid="B37">2016</xref>). In addition to allowing an unlimited number of protocols with different work-to-rest ratios, order of loading and distribution of training intensity, HIIT requires less time than low-intensity-high-volume training, which is attractive, since lack of time appears to be one of the major reasons for not exercising (Godin et al., <xref ref-type="bibr" rid="B18">1994</xref>).</p>
<p>In contrast to the traditional endurance-based HIIT, a relatively novel variation also called functional training/fitness incorporates multi-stimulating, circuit-like, multiple-joint, high-intensity training (Circuit<sub>HIIT</sub>), and becoming of increasing interest to fitness enthusiasts (Buckley et al., <xref ref-type="bibr" rid="B7">2015</xref>). Such exercise more related to strength can improve body composition (Sillanp&#x000E4;&#x000E4; et al., <xref ref-type="bibr" rid="B41">2009</xref>; Neves et al., <xref ref-type="bibr" rid="B35">2017</xref>), as well as cardiovascular (Shaw and Shaw, <xref ref-type="bibr" rid="B39">2009</xref>; Ho et al., <xref ref-type="bibr" rid="B25">2012a</xref>,<xref ref-type="bibr" rid="B26">b</xref>), metabolic (Schumann et al., <xref ref-type="bibr" rid="B38">2014</xref>; Neves et al., <xref ref-type="bibr" rid="B35">2017</xref>) and functional fitness (Neves et al., <xref ref-type="bibr" rid="B35">2017</xref>) in physically inactive individuals and, in addition, at least in older individuals, certain aspects of quality of life (Sillanp&#x000E4;&#x000E4; et al., <xref ref-type="bibr" rid="B40">2012</xref>). However, with increasing exercise intensity, enjoyment declines, and the excessive demands made by HIIT have been proposed to diminish intrinsic motivation and discourage adherence to further exercise (Hardcastle et al., <xref ref-type="bibr" rid="B23">2014</xref>).</p>
<p>Strength exercise such as Circuit<sub>HIIT</sub>, is well known to elevate muscle mass and thereby potentially reduce numerous risk factors for cardiovascular disease (Hurley et al., <xref ref-type="bibr" rid="B29">1988</xref>; Poehlman et al., <xref ref-type="bibr" rid="B36">2000</xref>). In contrast, low-intensity endurance exercise is known to augment plasma volume (Green et al., <xref ref-type="bibr" rid="B21">1987</xref>, <xref ref-type="bibr" rid="B22">1990</xref>), muscular blood flow (Coyle, <xref ref-type="bibr" rid="B11">1999</xref>), and capillary and mitochondrial densities (Hoppeler and Weibel, <xref ref-type="bibr" rid="B28">2000</xref>) thereby improving peak oxygen uptake (Hickson et al., <xref ref-type="bibr" rid="B24">1981</xref>). Improved cardiorespiratory fitness (e.g., maximum oxygen uptake) has been associated with improved health and less premature death (Bouchard et al., <xref ref-type="bibr" rid="B6">2015</xref>). Due to the different responses evoked, functional strength training in the form of Circuit<sub>HIIT</sub> combined with low-intensity endurance exercise (Circuit<sub>combined</sub>) may lead to synergistic improvements in cardio-respiratory and metabolic parameters, body composition, functional strength and quality of life, which, to the best of our knowledge, has not yet been investigated in detail with respect to overweight women.</p>
<p>Accordingly, we compare here the psycho-physiological responses of physically inactive women performing a multi-stimulating, circuit-like, multiple-joint conditioning program (Circuit<sub>HIIT</sub>), or the same program in combination with low-intensity high-volume exercise (Circuit<sub>combined</sub>). On the basis of the responses discussed above, our hypothesis was that Circuit<sub>HIIT</sub> improves functional strength and metabolic parameters as well as body composition, but may at the same time impair quality of life, whereas Circuit<sub>combined</sub> improves cardio-respiratory and metabolic parameters and quality of life.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Participants</title>
<p>In this single-center, two-arm randomized, controlled study, 22 women (age: 23 &#x000B1; 2 years) recruited via social media platforms and bulletins were initially assigned randomly to perform either Circuit<sub>HIIT</sub> (<italic>n</italic> &#x0003D; 11) or Circuit<sub>combined;</sub> (<italic>n</italic> &#x0003D; 8), but three women in the latter group had to withdraw due to time constraints. All were informed in detail about the design of the study, the potential risks and benefits, before providing their written consent to participate. The inclusion criteria were an age of 18&#x02013;35 years and BMI &#x0003E;25 kg&#x000B7;m<sup>&#x02212;2</sup>; not having engaged in routine exercise programs for at least 6 months prior to the study; no daily intake of medication; and completion of more than 80% of the training sessions.</p>
<p>Each woman visited the laboratory once before the actual study to become comfortable performing all exercises. All procedures were conducted in accordance with the Declaration of Helsinki and the protocol was pre-approved by the ethical review board of the Sport Science Institute of the University of W&#x000FC;rzburg.</p>
<sec>
<title>Overall study design</title>
<p>All of the women completed a 9-week intervention involving 3 sessions of either Circuit<sub>HIIT</sub> or Circuit<sub>combined</sub> each week. The overall timeline of this intervention is illustrated in Figure <xref ref-type="fig" rid="F1">1</xref>.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>The timeline and main outcome variables of this study</bold>.</p></caption>
<graphic xlink:href="fphys-08-00172-g0001.tif"/>
</fig>
<p>Pre- and post-training testing included assessment of body composition, a treadmill ramp test to assess cardio-respiratory, and metabolic parameters, numerous tests of functional movement, and a questionnaire concerning quality of life. Baseline testing was completed during two visits at least 48 h apart and before assigning the women to one of the interventions. Post-intervention testing, also in two sessions at least 48 h apart, commenced 72 h after the final training session.</p>
</sec>
</sec>
<sec>
<title>The interventions</title>
<p>The 3 weekly sessions of Circuit<sub>HIIT</sub> were performed either indoors or outdoors, while Circuit<sub>combined</sub> involved two sessions of the same nature and a third of low-intensity endurance exercise targeting 65% of peak heart rate (see Table <xref ref-type="table" rid="T1">1</xref> for additional details). Heart rate, especially during the third session during weeks 1, 4, and 7, second session during weeks 2, 5, and 8 and weeks 3, 6 and 9 were monitored continuously (Polar M32, Polar, Oy, Finland).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Details of the 9-week Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> training interventions</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Week</bold></th>
<th valign="top" align="center"><bold>Session</bold></th>
<th valign="top" align="left"><bold>Circuit<sub>HIIT</sub></bold></th>
<th valign="top" align="left"><bold>Circuit<sub>combined</sub></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1, 4, 7</td>
<td valign="top" align="center">1</td>
<td valign="top" align="left">6 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s burpees &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s skipping &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;-  30-s pull-ups &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s 1-legged squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s leg levers &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s push-ups &#x0002B; 30-s recovery<break/> 7-min Shuttle run</td>
<td valign="top" align="left">6 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s burpees &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s skipping &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s pull-ups &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s 1-legged squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s leg levers &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s push-ups &#x0002B; 30-s recovery<break/> 7-min Shuttle run</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">2</td>
<td valign="top" align="left">3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s run/burpees &#x0002B;30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s burpees &#x0002B; 30-s leg levers <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s lunges &#x0002B; 1-min isometric squat <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s rows &#x0002B; 1-min recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 8x20-s burpees/plank &#x0002B; 10-s recovery</td>
<td valign="top" align="left">3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s run/burpees &#x0002B;30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s burpees &#x0002B; 30-s leg levers <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s lunges &#x0002B; 1-min isometric squat <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s rows &#x0002B; 1-min recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 8x20-s burpees/plank &#x0002B; 10-s recovery</td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td/>
<td valign="top" align="center">3</td>
<td valign="top" align="left">5 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s burpees &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s 1-legged squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s push-ups &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s crunches &#x0002B; 30-s recovery</td>
<td valign="top" align="left">4 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 10-min jogging &#x0002B; 5-min walking</td>
</tr>
<tr>
<td valign="top" align="left">2, 5, 8</td>
<td valign="top" align="center">1</td>
<td valign="top" align="left">3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s lunges/sprints &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s isometric squat &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s 1-legged squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s side lunges/sprints &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s isometric sumo squat &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s pushups &#x0002B; 30-s rows &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s plank&#x0002B;30-s skipping &#x0002B; 30-s recovery</td>
<td valign="top" align="left">3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s lunges/sprints &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s isometric squat &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s 1-legged squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s side lunges/sprints &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s isometric sumo squat &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s pushups &#x0002B; 30-s rows &#x0002B; 30-s recovery<break/> 30-s plank&#x0002B;30-s skipping &#x0002B; 30-s recovery</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">2</td>
<td valign="top" align="left">10 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 20-s isometric pull-up/push-up &#x0002B; 40-s run &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s squats/squat jumps &#x0002B; 30-s run &#x0002B; 30-s recovery 3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s rows &#x0002B; 45-s burpees &#x0002B; 3x 30-s lunges &#x0002B; 30-s run &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s leg levers &#x0002B; 30-s recovery</td>
<td valign="top" align="left">4 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;-  10-min jogging &#x0002B; 5-min walking</td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td/>
<td valign="top" align="center">3</td>
<td valign="top" align="left">3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s burpees/run &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s inchworms/lunges<break/> 5 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s run &#x0002B; 30-s recovery</td>
<td valign="top" align="left">10 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 20-s isometric pull-up/push-up &#x0002B; 40-s run &#x0002B; 30-s recovery 30-s squats/squat jumps &#x0002B; 30-s run &#x0002B; 30-s recovery<break/> 3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 45-s rows &#x0002B; 45-s burpees 3x 30-s lunges &#x0002B; 30-s run &#x0002B; 30-s recovery<break/> 60-s leg levers &#x0002B; 30-s recovery</td>
</tr>
<tr>
<td valign="top" align="left">3, 6, 9</td>
<td valign="top" align="center">1</td>
<td valign="top" align="left">2 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s jump squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s isometric squat &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s burpees &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s 1-legged squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s iron mikes &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s skipping run &#x0002B; 30-s recovery<break/> 10-min Shuttle run</td>
<td valign="top" align="left">2 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s jump squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s isometric squat &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s burpees &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s 1-legged squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s iron mikes &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s skipping run &#x0002B; 30-s recovery<break/> 10-min Shuttle run</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">2</td>
<td valign="top" align="left">3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s pull-ups &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s jump rope &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s push-ups &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s leg levers &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s rows &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s burpees &#x0002B; 30-s recovery<break/> 800-m run</td>
<td valign="top" align="left">3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 20-min jogging &#x0002B; 10-min walking</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">3</td>
<td valign="top" align="left">3 series <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s jumping jacks &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- Skipping &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;-  Squats &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 3-min burpees &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 30-s plank &#x0002B; 30-s lunges &#x0002B; 30-s recovery<break/> 15-min run</td>
<td valign="top" align="left">3 series of <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s pull-ups &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s jump rope &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s push-ups &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;-  60-s leg levers &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s rows &#x0002B; 30-s recovery <break/>&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;- 60-s burpees &#x0002B; 30-s recovery<break/> 800-m run</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec>
<title>Anthropometric data and body composition</title>
<p>Height was measured with a folding yardstick with the subjects standing barefoot. Body fat and fat-free mass were assessed to the nearest 0.1 kg with a four-electrode bio-impedance scale (Model 1609N; Tanita Corp, Tokyo, Japan) and body-mass-index (BMI; in kg&#x000B7;m<sup>&#x02212;2</sup>) then calculated. Since dehydration may affect bio-impedance analysis, we instructed all women to consume 500 mL of water 1 h before measurement. The minimal circumference between the iliac crest and rib cage was designated as the waist circumference, the maximal protuberance of the buttocks as the hip circumference, and the waist-to-hip ratio calculated. In our laboratory setting and with repeated measurements, the error of measurement for the waist and hip circumferences is 1.6 and 1.4 cm, respectively, in line with previous findings (Dhaliwal and Welborn, <xref ref-type="bibr" rid="B13">2009</xref>).</p>
</sec>
<sec>
<title>The treadmill test</title>
<p>After running for 5 min at 6 km&#x000B7;h<sup>&#x02212;1</sup> on a treadmill (Mercury, h/p/Cosmos Sports &#x00026; Medical GmbH, Nussdorf-Traunstein, Germany), the submaximal heart rate, oxygen uptake, respiratory exchange ratio, blood lactate concentration, and perceived exertion were all assessed. Thereafter, the speed was increased by 1 km&#x000B7;h<sup>&#x02212;1</sup> each minute until exhaustion for determination of the peak values of these same parameters (Kuipers et al., <xref ref-type="bibr" rid="B31">2003</xref>). Throughout the testing, oxygen uptake, respiratory exchange ratio and heart rate were monitored with an open circuit breath-by-breath gas and volume analyzer (Metamax 3B, Cortex, Leipzig, Germany), employing standard algorithms to compensate for the delay between oxygen consumption and generation of the signal.</p>
<p>All respiratory data and heart rates were averaged over 30-s intervals. The oxygen uptake at 6 km&#x000B7;h<sup>&#x02212;1</sup> was considered to be an indicator of running economy, as described elsewhere (Barnes and Kilding, <xref ref-type="bibr" rid="B1">2015</xref>). The oxygen uptake during the last 30 s of the test was considered to be maximal if (a) this uptake increased &#x0003C;1.0 mL min<sup>&#x02212;1</sup> kg<sup>&#x02212;1</sup> with elevated power output, (b) the respiratory exchange ratio was &#x0003E;1.10, and/or (c) the heart rate was within 5% of the age-predicted maximum. In all cases, at least two of these three criteria were met.</p>
<p>Both after running for 5 min at 6 km&#x000B7;h<sup>&#x02212;1</sup> and at the point of exertion, blood was collected from the right earlobe for analysis of lactate (Lactate Pro 2, Arkray KDK, Kyoto, Japan). With this device and in our laboratory setting, the routinely measured coefficient of variation in repeated measures for blood lactate at rest is 0.07 and 0.04, 0.11, 0.07, 0.06 when running at 70, 80, 90, and 95% of peak heart rate, respectively. At the same time as blood sampling, the rating of perceived exertion (RPE) was assessed employing the 6&#x02013;20-point Borg scale (Borg, <xref ref-type="bibr" rid="B5">1970</xref>).</p>
</sec>
<sec>
<title>Testing functional strength</title>
<p>During all tests of functional strength (separated by 3-min intervals of recovery) the women were asked to perform as many push-ups, leg-levers, burpees, and one-legged squats as they could.</p>
</sec>
</sec>
<sec>
<title>Counter-movement jump and 30-s skipping</title>
<p>The explosive strength of the leg muscles was examined utilizing three counter-movement jumps (OptoJump, MicroGate, Bolzano, Italy) separated by a 1-min rest period, with the best of the three being subjected to further analysis. In the same testing device, the number of times each woman could skip rope within a 30-s period was recorded.</p>
</sec>
<sec>
<title>Assessment of quality of life</title>
<p>Prior to baseline testing and again before post-testing, all of the women completed the German version of the health-related quality of life questionnaire (SF-36), which has been shown to be valid and reliable (Bullinger et al., <xref ref-type="bibr" rid="B8">1995</xref>). This questionnaire assesses general health, physical functioning, mental health, social functioning, vitality, bodily pain, and the roles of physical and emotional limitations, with higher scores (0&#x02013;100) reflecting better quality of life.</p>
</sec>
<sec>
<title>Statistical analyses</title>
<p>All data were confirmed to be normally distributed by the Kolmogorov-Smirnov test, so that no transformation was required. Repeated-measures ANOVA [time-point (pre- or post-exercise) &#x000D7; group (Circuit<sub>HIIT</sub> or Circuit<sub>combined</sub>)] was performed for each outcome variable, with an alpha of <italic>p</italic> &#x0003C; 0.05 being considered statistically significant and indicated by <sup>&#x0002A;</sup>. In addition, the values obtained were evaluated by calculating the effect size partial eta-square (<inline-formula><mml:math id="M1"><mml:mrow><mml:msubsup><mml:mo>&#x003B7;</mml:mo><mml:mtext>p</mml:mtext><mml:mn>2</mml:mn></mml:msubsup></mml:mrow></mml:math></inline-formula>). The means and standard deviations (<italic>SD</italic>) for all data sets were calculated and all statistical tests carried out in the SPSS 22.0 software package for Microsoft. The smallest worthwhile effect was defined as the smallest Cohen change in the mean, i.e., 0.2 times the SD of the between-subject baseline values for all participants (Batterham and Hopkins, <xref ref-type="bibr" rid="B3">2006</xref>). Chances of benefit and harm were assessed qualitatively as follows: &#x0003C;1% almost certainly none, 1&#x02013;5% very unlikely, 5&#x02013;25% unlikely, 25&#x02013;75% possibly, 75&#x02013;95% likely, 95&#x02013;99% very likely, &#x0003E;99% almost certainly (Hopkins, <xref ref-type="bibr" rid="B27">2002</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>The women in the Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> groups completed 89 &#x000B1; 5 and 90 &#x000B1; 6% of the planned training sessions, respectively. Their pre- and post-values with statistical analysis are documented in Tables <xref ref-type="table" rid="T2">2</xref>&#x02013;<bold>5</bold>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Anthropometric values (means &#x000B1; SD) for the women in the Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> groups before and after the intervention</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameter</bold></th>
<th valign="top" align="left"><bold>Intervention</bold></th>
<th valign="top" align="center"><bold>Before</bold></th>
<th valign="top" align="center"><bold>After</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>(T)/<italic>p</italic>(T &#x000D7; G)</bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M2"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula>(T)/<inline-formula><mml:math id="M3"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula>(T &#x000D7; G)</bold></th>
<th valign="top" align="center"><bold><italic>F</italic></bold></th>
<th valign="top" align="center"><bold>Mean effect<xref ref-type="table-fn" rid="TN3"><sup>a</sup></xref>&#x000B1; 90% CI<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></bold></th>
<th valign="top" align="left"><bold>Qualitative inference</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Body mass [kg]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">79.7 &#x000B1; 7.5</td>
<td valign="top" align="center">77.7 &#x000B1; 8.2</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.243</td>
<td valign="top" align="center">6.41</td>
<td valign="top" align="center">&#x02212;2.0 &#x000B1; 2.1</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">83.0 &#x000B1; 10.5</td>
<td valign="top" align="center">82.5 &#x000B1; 11.0</td>
<td valign="top" align="center">0.121</td>
<td valign="top" align="center">0.116</td>
<td valign="top" align="center">2.62</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Body mass index [kg&#x000B7;m<sup>&#x02212;2</sup>]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">28.1 &#x000B1; 2.7</td>
<td valign="top" align="center">27.3 &#x000B1; 2.8</td>
<td valign="top" align="center">0.015<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.263</td>
<td valign="top" align="center">7.12</td>
<td valign="top" align="center">&#x02212;2.0 &#x000B1; 2.1</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">28.3 &#x000B1; 3.3</td>
<td valign="top" align="center">28.1 &#x000B1; 3.2</td>
<td valign="top" align="center">0.124</td>
<td valign="top" align="center">0.114</td>
<td valign="top" align="center">2.58</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Waist-to-hip ratio</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">0.80 &#x000B1; 0.06</td>
<td valign="top" align="center">0.75 &#x000B1; 0.05</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.359</td>
<td valign="top" align="center">11.2</td>
<td valign="top" align="center">&#x02212;5.1 &#x000B1; 4.6</td>
<td valign="top" align="left">Unclear</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">0.79 &#x000B1; 0.03</td>
<td valign="top" align="center">0.78 &#x000B1; 0.04</td>
<td valign="top" align="center">0.340</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">0.956</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Fat mass [kg]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">40.0 &#x000B1; 4.9</td>
<td valign="top" align="center">38.1 &#x000B1; 5.6</td>
<td valign="top" align="center">0.002<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.401</td>
<td valign="top" align="center">13.4</td>
<td valign="top" align="center">&#x02212;2.5 &#x000B1; 3.9</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">40.2 &#x000B1; 4.8</td>
<td valign="top" align="center">39.2 &#x000B1; 5.6</td>
<td valign="top" align="center">0.240</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">1.47</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Fat free mass [%]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">26.5 &#x000B1; 2.4</td>
<td valign="top" align="center">27.4 &#x000B1; 2.6</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.359</td>
<td valign="top" align="center">11.2</td>
<td valign="top" align="center">1.6 &#x000B1; 2.9</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">26.4 &#x000B1; 2.0</td>
<td valign="top" align="center">26.9 &#x000B1; 2.5</td>
<td valign="top" align="center">0.340</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">0.956</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>HIIT, high-intensity interval training; p, probability; <inline-formula><mml:math id="M4"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow><mml:mrow><mml:mstyle class="text"><mml:mtext class="textit" mathvariant="italic">2</mml:mtext></mml:mstyle></mml:mrow></mml:msubsup></mml:math></inline-formula>, effect size partial eta-square; T, global effect of time; G, global effect of group; T &#x000D7; G, global effect of Time &#x000D7; Group; F, degrees of freedom</italic>.</p>
<fn id="TN1"><label>&#x0002A;</label><p><italic>P &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN2"><label>&#x0002A;&#x0002A;</label><p><italic>P &#x0003C; 0.01 for the differences between groups</italic>.</p></fn>
<fn id="TN3"><label>a</label><p><italic>Refers to Circuit<sub>HIIT</sub> minus Circuit<sub>combined</sub></italic>.</p></fn>
<fn id="TN4"><label>b</label><p><italic>&#x000B1; 90% CI: add or subtract this number from the mean effect to obtain the 90% confidence intervals for the true difference</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Body mass, body-mass index, waist-to-hip ratio and fat mass declined and fat-free mass increased to the same extent in both groups (Table <xref ref-type="table" rid="T2">2</xref>).</p>
<p>Ratings of perceived exertion following either intervention were lower than at baseline. Peak oxygen uptake improved to a greater extent following Circuit<sub>HIIT</sub> than Circuit<sub>combined</sub> (Table <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p><bold>Cardio-respiratory and metabolic values and perceived exertion (means &#x000B1; SD) of the women in the Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> groups before and after the intervention</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="left"><bold>Intervention</bold></th>
<th valign="top" align="center"><bold>Before</bold></th>
<th valign="top" align="center"><bold>After</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>(T)/<italic>p</italic>(T &#x000D7; G)</bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M5"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula>(T)/<inline-formula><mml:math id="M6"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula>(T &#x000D7; G)</bold></th>
<th valign="top" align="center"><bold><italic>F</italic></bold></th>
<th valign="top" align="center"><bold>Mean effect<xref ref-type="table-fn" rid="TN7"><sup>a</sup></xref>&#x000B1; 90% CI<xref ref-type="table-fn" rid="TN8"><sup>b</sup></xref></bold></th>
<th valign="top" align="left"><bold>Qualitative inference</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="9" style="background-color:#bbbdc0"><bold>VALUES AT A SUBMAXIMAL RUNNING SPEED OF 6 KM&#x000B7;H<sup>&#x02212;1</sup></bold></td>
</tr>
<tr>
<td valign="top" align="left">Heart rate [bpm]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">166 &#x000B1; 18</td>
<td valign="top" align="center">160 &#x000B1; 18</td>
<td valign="top" align="center">0.087</td>
<td valign="top" align="center">0.140</td>
<td valign="top" align="center">3.250</td>
<td valign="top" align="center">&#x02212;2.3 &#x000B1; 4.4</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">167 &#x000B1; 14</td>
<td valign="top" align="center">165 &#x000B1; 12</td>
<td valign="top" align="center">0.424</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">0.665</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Oxygen uptake [ml&#x000B7;min<sup>&#x02212;1</sup>]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">2,070 &#x000B1; 206</td>
<td valign="top" align="center">2,110 &#x000B1; 141</td>
<td valign="top" align="center">0.742</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">0.112</td>
<td valign="top" align="center">3.4 &#x000B1; 6.8</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">2,130 &#x000B1; 311</td>
<td valign="top" align="center">2,110 &#x000B1; 304</td>
<td valign="top" align="center">0.391</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">0.770</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Respiratory exchange ratio</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">0.93 &#x000B1; 0.09</td>
<td valign="top" align="center">0.91 &#x000B1; 0.10</td>
<td valign="top" align="center">0.136</td>
<td valign="top" align="center">0.113</td>
<td valign="top" align="center">2.430</td>
<td valign="top" align="center">2.5 &#x000B1; 8.3</td>
<td valign="top" align="left">Unclear</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">0.94 &#x000B1; 0.10</td>
<td valign="top" align="center">0.89 &#x000B1; 0.07</td>
<td valign="top" align="center">0.556</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">0.359</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Blood lactate concentration [mmol&#x000B7;L<sup>&#x02212;1</sup>]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">4.4 &#x000B1; 2.0</td>
<td valign="top" align="center">3.1 &#x000B1; 1.2</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">0.265</td>
<td valign="top" align="center">6.850</td>
<td valign="top" align="center">&#x02212;25.3 &#x000B1; 17.7</td>
<td valign="top" align="left">Very likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">4.0 &#x000B1; 2.3</td>
<td valign="top" align="center">3.7 &#x000B1; 1.7</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center">0.146</td>
<td valign="top" align="center">3.25</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ratings of perceived exertion [a.u.]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">12.0 &#x000B1; 1.6</td>
<td valign="top" align="center">9.5 &#x000B1; 2.0</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.683</td>
<td valign="top" align="center">36.6</td>
<td valign="top" align="center">&#x02212;7.6 &#x000B1; 11.5</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">13.1 &#x000B1; 2.0</td>
<td valign="top" align="center">11.1 &#x000B1; 1.9</td>
<td valign="top" align="center">0.510</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">0.452</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="9" style="background-color:#bbbdc0"><bold>PEAK VALUES AT THE POINT OF EXERTION</bold></td>
</tr>
<tr>
<td valign="top" align="left">Maximal oxygen uptake [ml&#x000B7;min<sup>&#x02212;1</sup>]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">2,630 &#x000B1; 297</td>
<td valign="top" align="center">2,900 &#x000B1; 298</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.612</td>
<td valign="top" align="center">30.0</td>
<td valign="top" align="center">5.8 &#x000B1; 4.9</td>
<td valign="top" align="left">Very likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">2,560 &#x000B1; 348</td>
<td valign="top" align="center">2,670 &#x000B1; 398</td>
<td valign="top" align="center">0.038<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.207</td>
<td valign="top" align="center">4.95</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Respiratory exchange ratio</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">1.23 &#x000B1; 0.08</td>
<td valign="top" align="center">1.17 &#x000B1; 0.08</td>
<td valign="top" align="center">0.102</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">2.95</td>
<td valign="top" align="center">&#x02212;2.4 &#x000B1; 7.6</td>
<td valign="top" align="left">Unclear</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">1.18 &#x000B1; 0.09</td>
<td valign="top" align="center">1.15 &#x000B1; 0.07</td>
<td valign="top" align="center">0.591</td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">0.299</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Blood lactate concentration [mmol&#x000B7;L<sup>&#x02212;1</sup>]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">7.0 &#x000B1; 2.1</td>
<td valign="top" align="center">8.0 &#x000B1; 2.8</td>
<td valign="top" align="center">0.645</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.220</td>
<td valign="top" align="center">26.5 &#x000B1; 37.4</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">7.0 &#x000B1; 2.2</td>
<td valign="top" align="center">6.5 &#x000B1; 2.5</td>
<td valign="top" align="center">0.128</td>
<td valign="top" align="center">0.118</td>
<td valign="top" align="center">2.54</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ratings of perceived exertion [a.u.]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">18.2 &#x000B1; 1.5</td>
<td valign="top" align="center">17.9 &#x000B1; 2.2</td>
<td valign="top" align="center">0.396</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.755</td>
<td valign="top" align="center">0.9 &#x000B1; 9.2</td>
<td valign="top" align="left">Unclear</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">17.8 &#x000B1; 1.8</td>
<td valign="top" align="center">17.3 &#x000B1; 1.6</td>
<td valign="top" align="center">0.801</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.065</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>HIIT, high-intensity interval training; p, probability; <inline-formula><mml:math id="M7"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow><mml:mrow><mml:mstyle class="text"><mml:mtext class="textit" mathvariant="italic">2</mml:mtext></mml:mstyle></mml:mrow></mml:msubsup></mml:math></inline-formula>, effect size partial eta-square; T, global effect of time; G, global effect of group; T &#x000D7; G, global effect of Time &#x000D7; Group; F, degrees of freedom; a.u, arbitrary units</italic>.</p>
<fn id="TN5"><label>&#x0002A;</label><p><italic>P &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN6"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>P &#x0003C; 0.001 for the differences between groups</italic>.</p></fn>
<fn id="TN7"><label>a</label><p><italic>Refers to Circuit<sub>HIIT</sub> minus Circuit<sub>combined</sub></italic>.</p></fn>
<fn id="TN8"><label>b</label><p><italic>&#x000B1; 90% CI: add or subtract this number from the mean effect to obtain the 90% confidence intervals for the true difference</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The number of push-ups, burpees, one-legged squats and 30-s skipping, as well as the counter-movement jumping height improved after both Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub>, with no differences between these groups (Table <xref ref-type="table" rid="T3">3</xref>). The number of leg-levers was improved to a greater extent by Circuit<sub>HIIT</sub> than Circuit<sub>combined</sub> (Table <xref ref-type="table" rid="T4">4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p><bold>Funtional performance (means &#x000B1; <italic>SD</italic>) of the women in the Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> groups before and after the intervention</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameter</bold></th>
<th valign="top" align="left"><bold>Intervention</bold></th>
<th valign="top" align="center"><bold>Before</bold></th>
<th valign="top" align="center"><bold>After</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>(T)/<italic>p</italic>(T &#x000D7; G)</bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M8"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula>(T)/<inline-formula><mml:math id="M9"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula>(T &#x000D7; G)</bold></th>
<th valign="top" align="center"><bold><italic>F</italic></bold></th>
<th valign="top" align="center"><bold>Mean effect<xref ref-type="table-fn" rid="TN11"><sup>a</sup></xref> &#x000B1; 90% CI<xref ref-type="table-fn" rid="TN12"><sup>b</sup></xref></bold></th>
<th valign="top" align="left"><bold>Qualitative inference</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Push-ups [n]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">7.5 &#x000B1; 3.6</td>
<td valign="top" align="center">19.6 &#x000B1; 4.2</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.869</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">&#x02212;23.2 &#x000B1; 47.8</td>
<td valign="top" align="left">Unclear</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">4.3 &#x000B1; 4.0</td>
<td valign="top" align="center">17.4 &#x000B1; 6.1</td>
<td valign="top" align="center">0.663</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.196</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Leg-levers [n]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">15.7 &#x000B1; 11.0</td>
<td valign="top" align="center">58.5 &#x000B1; 22.3</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.754</td>
<td valign="top" align="center">55.0</td>
<td valign="top" align="center">120.4 &#x000B1;84.5</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">15.9 &#x000B1; 8.0</td>
<td valign="top" align="center">28.3 &#x000B1; 6.5</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.480</td>
<td valign="top" align="center">16.6</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Burpees [n]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">9.2 &#x000B1; 3.7</td>
<td valign="top" align="center">24.9 &#x000B1; 9.9</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.753</td>
<td valign="top" align="center">57.8</td>
<td valign="top" align="center">&#x02212;28.0 &#x000B1; 33.6</td>
<td valign="top" align="left">Likely negative</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">7.0 &#x000B1; 2.7</td>
<td valign="top" align="center">27.6 &#x000B1; 10.8</td>
<td valign="top" align="center">0.321</td>
<td valign="top" align="center">0.052</td>
<td valign="top" align="center">1.04</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">1-Legged squats [n]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">18.0 &#x000B1; 8.2</td>
<td valign="top" align="center">36.9 &#x000B1; 10.1</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.868</td>
<td valign="top" align="center">125</td>
<td valign="top" align="center">&#x02212;32.7 &#x000B1; 24.6</td>
<td valign="top" align="left">Very likely negative</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">13.7 &#x000B1; 5.9</td>
<td valign="top" align="center">39.9 &#x000B1; 9.4</td>
<td valign="top" align="center">0.086</td>
<td valign="top" align="center">0.147</td>
<td valign="top" align="center">3.28</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Counter-movement jump [cm]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">23.8 &#x000B1; 7.0</td>
<td valign="top" align="center">28.3 &#x000B1; 7.2</td>
<td valign="top" align="center">0.017<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.253</td>
<td valign="top" align="center">6.79</td>
<td valign="top" align="center">16.4 &#x000B1;16.8</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">24.8 &#x000B1; 5.1</td>
<td valign="top" align="center">25.3 &#x000B1; 3.2</td>
<td valign="top" align="center">0.050</td>
<td valign="top" align="center">0.178</td>
<td valign="top" align="center">4.33</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">30-s Skipping [n]</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">84.0 &#x000B1; 32.2</td>
<td valign="top" align="center">116 &#x000B1; 8.3</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.679</td>
<td valign="top" align="center">38.0</td>
<td valign="top" align="center">&#x02212;19.0 &#x000B1; 25.1</td>
<td valign="top" align="left">Likely negative</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">76.6 &#x000B1; 21.9</td>
<td valign="top" align="center">136 &#x000B1; 37.0</td>
<td valign="top" align="center">0.074</td>
<td valign="top" align="center">0.167</td>
<td valign="top" align="center">3.60</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>HIIT, high-intensity interval training; p, probability; <inline-formula><mml:math id="M10"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow><mml:mrow><mml:mstyle class="text"><mml:mtext class="textit" mathvariant="italic">2</mml:mtext></mml:mstyle></mml:mrow></mml:msubsup></mml:math></inline-formula>, effect size partial eta-square; T, global effect of time; G, global effect of group; T &#x000D7; G, global effect of Time &#x000D7; Group; F, degrees of freedom</italic>.</p>
<fn id="TN9"><label>&#x0002A;</label><p><italic>P &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN10"><label>&#x0002A;&#x0002A;&#x0002A;</label><p><italic>P &#x0003C; 0.001 for the differences between groups</italic>.</p></fn>
<fn id="TN11"><label>a</label><p><italic>Refers to the Circuit<sub>HIIT</sub> minus Circuit<sub>combined</sub></italic>.</p></fn>
<fn id="TN12"><label>b</label><p><italic>&#x000B1; 90% CI: add or subtract this number from the mean effect to obtain the 90% confidence intervals for the true difference</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Physical and social functioning, vitality, role of emotional limitations and mental health improved following both Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> (Table <xref ref-type="table" rid="T5">5</xref>). However, perception of physical pain was higher only after Circuit<sub>HIIT</sub> and perception of general health was enhanced only by Circuit<sub>combined</sub>.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p><bold>Quality of Life (arbitrary units, means &#x000B1; SD) for the women in the Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> groups before and after the intervention</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Dimension</bold></th>
<th valign="top" align="left"><bold>Intervention</bold></th>
<th valign="top" align="center"><bold>Before</bold></th>
<th valign="top" align="center"><bold>After</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>(T)/<italic>p</italic>(T &#x000D7; G)</bold></th>
<th valign="top" align="center"><bold><inline-formula><mml:math id="M11"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula>(T)/<inline-formula><mml:math id="M12"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula>(T &#x000D7; G)</bold></th>
<th valign="top" align="center"><bold><italic>F</italic></bold></th>
<th valign="top" align="center"><bold>Mean effect<xref ref-type="table-fn" rid="TN15"><sup>a</sup></xref> &#x000B1; 90% CI<xref ref-type="table-fn" rid="TN16"><sup>b</sup></xref></bold></th>
<th valign="top" align="left"><bold>Qualitative inference</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Physical functioning</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">94 &#x000B1; 5.5</td>
<td valign="top" align="center">98 &#x000B1; 3</td>
<td valign="top" align="center">0.008<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.317</td>
<td valign="top" align="center">8.82</td>
<td valign="top" align="center">&#x02212;7.6 &#x000B1; 10.4</td>
<td valign="top" align="left">Likely negative</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">87 &#x000B1; 14</td>
<td valign="top" align="center">97 &#x000B1; 4</td>
<td valign="top" align="center">0.228</td>
<td valign="top" align="center">0.075</td>
<td valign="top" align="center">1.55</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Role of physical limitations</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">100 &#x000B1; 0</td>
<td valign="top" align="center">98 &#x000B1; 8</td>
<td valign="top" align="center">0.439</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">0.624</td>
<td valign="top" align="center">0.3 &#x000B1; 16.1</td>
<td valign="top" align="left">Unclear</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">95 &#x000B1; 16</td>
<td valign="top" align="center">93 &#x000B1; 17</td>
<td valign="top" align="center">0.970</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.001</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pain</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">96 &#x000B1; 9</td>
<td valign="top" align="center">74 &#x000B1; 19</td>
<td valign="top" align="center">0.008<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center">8.93</td>
<td valign="top" align="center">&#x02212;24.5 &#x000B1; 14.3</td>
<td valign="top" align="left">Very likely negative</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">91 &#x000B1; 19</td>
<td valign="top" align="center">90 &#x000B1; 17</td>
<td valign="top" align="center">0.016<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.270</td>
<td valign="top" align="center">7.04</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Perception of general health</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">74 &#x000B1; 15</td>
<td valign="top" align="center">74 &#x000B1; 18</td>
<td valign="top" align="center">0.039<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.206</td>
<td valign="top" align="center">4.94</td>
<td valign="top" align="center">&#x02212;23.1 &#x000B1; 16.3</td>
<td valign="top" align="left">Very likely negative</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">66 &#x000B1; 18</td>
<td valign="top" align="center">83 &#x000B1; 17</td>
<td valign="top" align="center">0.037<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.210</td>
<td valign="top" align="center">5.05</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Vitality</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">58 &#x000B1; 13</td>
<td valign="top" align="center">66 &#x000B1; 10</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.427</td>
<td valign="top" align="center">14.2</td>
<td valign="top" align="center">&#x02212;11.7 &#x000B1; 17.4</td>
<td valign="top" align="left">Likely negative</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">49 &#x000B1; 14</td>
<td valign="top" align="center">63 &#x000B1; 13</td>
<td valign="top" align="center">0.336</td>
<td valign="top" align="center">0.049</td>
<td valign="top" align="center">0.975</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Social functioning</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">77 &#x000B1; 18</td>
<td valign="top" align="center">94 &#x000B1; 10</td>
<td valign="top" align="center">0.009<xref ref-type="table-fn" rid="TN14"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.306</td>
<td valign="top" align="center">8.38</td>
<td valign="top" align="center">18.0 &#x000B1; 19.8</td>
<td valign="top" align="left">Likely positive</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">91 &#x000B1; 10</td>
<td valign="top" align="center">96 &#x000B1; 8</td>
<td valign="top" align="center">0.130</td>
<td valign="top" align="center">0.116</td>
<td valign="top" align="center">2.50</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Role of emotional limitations</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">73 &#x000B1; 29</td>
<td valign="top" align="center">91 &#x000B1; 22</td>
<td valign="top" align="center">0.015<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.273</td>
<td valign="top" align="center">7.14</td>
<td valign="top" align="center">3.0 &#x000B1; 42.0</td>
<td valign="top" align="left">Unclear</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">77 &#x000B1; 39</td>
<td valign="top" align="center">93 &#x000B1; 21</td>
<td valign="top" align="center">0.909</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.014</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mental health</td>
<td valign="top" align="left">Circuit<sub>HIIT</sub></td>
<td valign="top" align="center">72 &#x000B1; 14</td>
<td valign="top" align="center">76 &#x000B1; 11</td>
<td valign="top" align="center">0.013<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.285</td>
<td valign="top" align="center">7.57</td>
<td valign="top" align="center">&#x02212;8.0 &#x000B1; 12.4</td>
<td valign="top" align="left">Likely negative</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Circuit<sub>combined</sub></td>
<td valign="top" align="center">68 &#x000B1; 11</td>
<td valign="top" align="center">79 &#x000B1; 12</td>
<td valign="top" align="center">0.222</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">1.60</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>HIIT, high-intensity interval training; p, probability; <inline-formula><mml:math id="M13"><mml:msubsup><mml:mrow><mml:mi>&#x003B7;</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow><mml:mrow><mml:mstyle class="text"><mml:mtext class="textit" mathvariant="italic">2</mml:mtext></mml:mstyle></mml:mrow></mml:msubsup></mml:math></inline-formula>, effect size partial eta-square; T, global effect of time; G, global effect of group; T &#x000D7; G, global effect of Time &#x000D7; Group; F, degrees of freedom</italic>.</p>
<fn id="TN13"><label>&#x0002A;</label><p><italic>P &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN14"><label>&#x0002A;&#x0002A;</label><p><italic>P &#x0003C; 0.01 for the difference between groups</italic>.</p></fn>
<fn id="TN15"><label>a</label><p><italic>Refers to Circuit<sub>HIIT</sub> minus Circuit<sub>combined</sub></italic>.</p></fn>
<fn id="TN16"><label>b</label><p><italic>&#x000B1; 90% CI: add or subtract this number from the mean effect to obtain the 90% confidence intervals for the true difference</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The major findings of this comparison of several psycho-physiological responses of overweight women to 9 weeks of either Circuit<sub>HIIT</sub> or Circuit<sub>combined</sub> were as follows:
<list list-type="order">
<list-item><p>With Circuit<sub>HIIT</sub>, perception of physical pain and peak oxygen uptake both rose to a greater extent.</p></list-item>
<list-item><p>Perception of general health was improved more by Circuit<sub>combined</sub>.</p></list-item>
<list-item><p>Both interventions caused the following changes to a similar degree:
<list list-type="simple">
<list-item><p>- lowering of body mass, body-mass index, waist-to-hip ratio, and fat mass and increase in fat-free mass;</p></list-item>
<list-item><p>- decreased ratings of perceived exertion during submaximal treadmill running;</p></list-item>
<list-item><p>- improvements in the number of push-ups, burpees, one-legged squats, and 30-s skipping, as well as counter-movement jump height;</p></list-item>
<list-item><p>- improvements in physical and social functioning, role of physical limitations, vitality, role of emotional limitations and mental health.</p></list-item>
</list></p></list-item>
</list></p>
<p>Numerous investigations have focused on the effect of HIIT on parameters of cardio-respiratory fitness including VO<sub>2peak</sub> (Stoggl and Sperlich, <xref ref-type="bibr" rid="B43">2014</xref>; Schmitt et al., <xref ref-type="bibr" rid="B37">2016</xref>; Zinner et al., <xref ref-type="bibr" rid="B45">2016</xref>). Since this value limits ATP production via oxidative phosphorylation and is thus strongly associated with cardiorespiratory fitness, as well as general health and premature death, it is frequently utilized as an integrative indicator of cardiopulmonary fitness (Bassett and Howley, <xref ref-type="bibr" rid="B2">2000</xref>; Bouchard et al., <xref ref-type="bibr" rid="B6">2015</xref>). Here, peak oxygen uptake was improved after 9 weeks with 3 weekly sessions of either Circuit<sub>HIIT</sub> (10.1%) or Circuit<sub>combined</sub> (4.4%). The overall greater response of VO<sub>2peak</sub> to high-intensity exercise can be explained by better central adaptation, including augmented plasma and blood volumes (Convertino et al., <xref ref-type="bibr" rid="B10">1980</xref>; Green et al., <xref ref-type="bibr" rid="B21">1987</xref>; Graham et al., <xref ref-type="bibr" rid="B20">2016</xref>) with elevated stroke volume (Green et al., <xref ref-type="bibr" rid="B22">1990</xref>; Goodman et al., <xref ref-type="bibr" rid="B19">2005</xref>).</p>
<p>From this point of view, we may conclude that three sessions of Circuit<sub>HIIT</sub> enhance VO<sub>2peak</sub> more effectively than two sessions of Circuit<sub>HIIT</sub> and one session of low-intensity exercise (Circuit<sub>combined</sub>).</p>
<p>The Circuit<sub>HIIT</sub> participants performed primarily resistance training (i.e., squats, lunges, push-ups, etc.) in combination with repeated sprints, with very little rest between these exercises. Although this regimen was more related to strength, the women enhanced their cardiorespiratory fitness (i.e., oxygen uptake) to an extent similar to that observed with earlier circuit-based exercise (Gettman et al., <xref ref-type="bibr" rid="B16">1982</xref>; Beckham and Earnest, <xref ref-type="bibr" rid="B4">2000</xref>). A 7&#x02013;12% increase in peak oxygen uptake following 4&#x02013;12 weeks of body weight circuit training is consistent with previous reports (Gettman et al., <xref ref-type="bibr" rid="B16">1982</xref>; McRae et al., <xref ref-type="bibr" rid="B34">2012</xref>). However, our present observations reveal that 3 weekly sessions of Circuit<sub>HIIT</sub> improve peak oxygen uptake in a time-effective manner.</p>
<p>Circuit<sub>combined</sub> consisted of two of the weekly Circuit<sub>HIIT</sub> sessions and an additional weekly session of high-volume exercise (60&#x02013;105 min at approximately 65% of peak oxygen uptake). In the case of well-trained endurance athletes a combination of HIIT and high-volume low-intensity exercise might be more beneficial than either alone, since a) low-intensity endurance exercise (&#x0003C;2 mM blood lactate or &#x0007E;55&#x02013;85% peak heart rate) allows the body to recover sufficiently and b) excess HIIT may exert a negative impact on the autonomic nervous system (Chwalbinska-Moneta et al., <xref ref-type="bibr" rid="B9">1998</xref>; Esteve-Lanao et al., <xref ref-type="bibr" rid="B15">2007</xref>). Although the combination of low-volume, high-intensity exercise and high-volume, low-intensity exercise (so-called polarized intensity distribution) led to greater improvements in selected endurance values for elite endurance athletes (St&#x000F6;ggl and Sperlich, <xref ref-type="bibr" rid="B42">2015</xref>), our present findings indicate that this is not the case for overweight women performing multi-stimulating, circuit-like, multiple-joint training together with high-volume low-intensity exercise (Circuit<sub>combined</sub>).</p>
<p>In the current investigation, the women in the Circuit<sub>HIIT</sub> group perceived more pain, with no change in perception of general health. High-intensity strength training with eccentric components such as those involved in multi-stimulating, circuit-like, multiple-joint training induces muscle soreness. Although in general in adults, perception of muscle pain is attenuated as training proceeds, (Levinger et al., <xref ref-type="bibr" rid="B32">2007</xref>), the women in the Circuit<sub>HIIT</sub> group perceived more pain after the 9-week intervention. The injury rate associated with multi-stimulating, circuit-like, multiple-joint training is approximately 20% (Weisenthal et al., <xref ref-type="bibr" rid="B44">2014</xref>), but none of the women in either of our groups mentioned any injury. However, elevated pain in connection with HIIT may discourage untrained individuals from performing regular physical activity (Hardcastle et al., <xref ref-type="bibr" rid="B23">2014</xref>; Del Vecchio et al., <xref ref-type="bibr" rid="B12">2015</xref>), although previous studies showed no effect of high-intensity exercise on perceived pain in female patients (Schmitt et al., <xref ref-type="bibr" rid="B37">2016</xref>). Further studies are needed to clarify the effect of high-intensity training, especially short- and long-term, on perceived pain. However, Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> induced improvements in several dimensions of quality of life, which are perhaps the most important reasons to continue training. To summarize, in the present investigation Circuit<sub>combined</sub> appears to have augmented certain aspects of quality of life somewhat more, because there was no enhanced perception of pain.</p>
<sec>
<title>Limitations</title>
<p>This study was not designed specifically to assess improvements in body composition, but rather to compare the responses of cardio-respiratory and metabolic parameters, body composition, functional strength and quality of life to Circuit<sub>HIIT</sub> and Circuit<sub>Combined</sub>. Although we instructed our participants not to alter their eating habits, we cannot exclude the possibility that some nonetheless altered their nutritional intake. Since the study was relatively time-consuming, we did not ask the women to maintain nutritional diaries as well.</p>
<p>Since Circuit<sub>HIIT</sub> and Circuit<sub>Combined</sub> can be designed in very many different ways, we cannot be certain that the exercise described here is superior to other protocols. Nor can we generalize the responses observed to other populations, such as men, younger, and older individuals, or those with greater fitness.</p>
</sec>
<sec>
<title>Practical implications</title>
<p>Depending on the training goal, both Circuit<sub>HIIT</sub> and Circuit<sub>combined</sub> achieve potent improvements in body composition, selected parameters of functional strength, and certain dimensions of quality of life in overweight women. Moreover, Circuit<sub>HIIT</sub> improves peak oxygen uptake, which is associated with improved health and less risk for premature death (Bouchard et al., <xref ref-type="bibr" rid="B6">2015</xref>), in less training time, but with more perception of pain. More pain could, in turn, diminish pleasure and, thereby, the motivation to continue a program of exercise (Hardcastle et al., <xref ref-type="bibr" rid="B23">2014</xref>).</p>
<p>Circuit<sub>combined</sub> appears to improve perception of general health to a greater extent than Circuit<sub>HIIT</sub> and, if this is the goal, Circuit<sub>combined</sub> seems to be the method of choice.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Nine weeks of multi-stimulating, circuit-like, multiple-joint training involving either Circuit<sub>HIIT</sub> or Circuit<sub>combined</sub> improved the body composition, selected variables of functional strength and certain dimensions of quality of life in overweight women. Circuit<sub>HIIT</sub> also improved peak oxygen uptake, but with more perception of pain. Circuit<sub>combined</sub> appears to improve perception of general health to a greater extent than Circuit<sub>HIIT</sub>.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>BS, BWS, CZ, VVS, HL, HCH designed and approved the methods, analyzed data, and assisted in manuscript writting. BS, VVS, HL, CZ performed data collection.</p>
<sec>
<title>Conflict of interest statement</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>
</body>
<back>
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