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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijcs</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Cardiovascular Sciences</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Int. J. Cardiovasc. Sci.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2359-4802</issn>
      <issn pub-type="epub">2359-5647</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v3">D3GTNsSNjCd4Ymx6dKQBgdg</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S2359-56472019000400374</article-id>
      <article-id pub-id-type="doi">10.5935/2359-4802.20190058</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>ORIGINAL ARTICLE</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Speed and Grade Increment During Cardiopulmonary Treadmill Testing: Impact on Exercise Prescription</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-8310-7572</contrib-id>
          <name>
            <surname>Belli</surname>
            <given-names>Karlyse C.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Silva</surname>
            <given-names>Paula F. Da</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6327-1428</contrib-id>
          <name>
            <surname>Franzoni</surname>
            <given-names>Leandro T.</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Myers</surname>
            <given-names>Jonathan</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2357-5176</contrib-id>
          <name>
            <surname>Stein</surname>
            <given-names>Ricardo</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
          <xref ref-type="corresp" rid="c1"/>
          <xref ref-type="fn" rid="fn1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ribeiro</surname>
            <given-names>Jorge P.</given-names>
          </name>
          <xref ref-type="fn" rid="fn2">&#8224;</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Hospital de Cl&#237;nicas de Porto Alegre</institution>
        <addr-line>
          <city>Porto Alegre</city>
          <state>RS</state>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Hospital de Cl&#237;nicas de Porto Alegre, Porto Alegre, RS - Brazil</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Study Group in Exercise Cardiology (CardioEx)</institution>
        <addr-line>
          <city>Porto Alegre</city>
          <state>RS</state>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Study Group in Exercise Cardiology (CardioEx), Porto Alegre, RS - Brazil</institution>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution content-type="orgname">Stanford University</institution>
        <addr-line>
          <city>Palo Alto</city>
          <state>California</state>
        </addr-line>
        <country country="BR">USA</country>
        <institution content-type="original">Stanford University, Palo Alto, California - USA</institution>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution content-type="orgname">VA Palo Alto Health Care System</institution>
        <addr-line>
          <city>Palo Alto</city>
          <state>California</state>
        </addr-line>
        <country country="BR">USA</country>
        <institution content-type="original">VA Palo Alto Health Care System, Palo Alto, California - USA</institution>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution content-type="orgname">Federal University of Rio Grande do Sul</institution>
        <addr-line>
          <city>Porto Alegre</city>
          <state>RS</state>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Federal University of Rio Grande do Sul, Porto Alegre, RS - Brazil</institution>
      </aff>
      <author-notes>
        <corresp id="c1"><bold>Mailing Address: Ricardo Stein,</bold> Hospital de Cl&#237;nicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul (UFRGS) - Largo Eduardo Zaccaro Faraco, Rua Ramiro Barcelos 2350 - Servi&#231;o de Fisiatria,T&#233;rreo. Postal Code: 90035-903, Porto Alegre, RS - Brazil. E-mail: <email>rstein@cardiol.br</email>
				</corresp>
        <fn fn-type="deceased" id="fn2">
          <label>&#8224;</label>
          <p>Note: Deceased on August 23, 2012.</p>
        </fn>
        <fn fn-type="current-aff" id="fn1">
          <p>
            <fig id="f5">
              <alternatives>
                <graphic xlink:href=""/>
                <graphic xlink:href="https://minio.scielo.br/documentstore/2359-5647/D3GTNsSNjCd4Ymx6dKQBgdg/9239cb75a728ff58b7a16031409878ef51cdea1b.jpg"/>
              </alternatives>
            </fig>
          </p>
          <p>Ricardo Stein, PhD Professor Adjunto da Faculdade de Medicina da UFRGS Coordenador do CardioEx-HCPA <email>rstein@cardiol.br</email>
					</p>
        </fn>
        <fn fn-type="con">
          <p>
            <bold>Author contributions</bold>
          </p>
          <p>Conception and design of the research: Belli KC. Acquisition of data: Belli KC, Silva PF. Analysis and interpretation of the data: Belli KC, Silva PF, Franzoni LT, Myers J, Stein R. Statistical analysis: Belli KC, Franzoni LT. Writing of the manuscript: Belli KC, Myers J, Stein R. Critical revision of the manuscript for intellectual content: Belli KC, Franzoni LT, Myers J, Stein R.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>12</day>
        <month>08</month>
        <year>2019</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <season>Jul-Aug</season>
        <year>2019</year>
      </pub-date>
      <volume>32</volume>
      <issue>4</issue>
      <fpage>374</fpage>
      <lpage>383</lpage>
      <history>
        <date date-type="received">
          <day>01</day>
          <month>04</month>
          <year>2019</year>
        </date>
        <date date-type="rev-recd">
          <day>06</day>
          <month>05</month>
          <year>2019</year>
        </date>
        <date date-type="accepted">
          <day>22</day>
          <month>05</month>
          <year>2019</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>Maximal oxygen uptake (VO<sub>2</sub>max) and both first (VT<sub>1</sub>) and second (VT<sub>2</sub>) thresholds have been used as reference points for exercise prescription in different populations.</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>We aimed to test the hypothesis that exercise prescription, based on VTs determined by treadmill cardiopulmonary exercise testing (CPET), is influenced by the rate of increase in treadmill workload.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>Nine healthy individuals underwent two CPETs, followed by two sessions of submaximal exercise, both in randomized order. For the &#8220;speed&#8221; protocol, there was an increment of 0.1 to 0.3 km.h<sup>-1</sup> every 15s. The &#8220;grade&#8221; incremental protocol increased 1% every 30s and 0.1 km.h<sup>-1</sup> every 45s. This was followed by submaximal exercise sessions lasting 40min at an intensity corresponding to heart rate (HR) between the VT<sub>1</sub> and VT<sub>2</sub>. </p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>The &#8220;speed&#8221; protocol resulted in higher VT<sub>1</sub> (p = 0.01) and VT<sub>2</sub> (p = 0.02) when compared to the &#8220;grade&#8221; incremental protocol, but there was no effect on VO<sub>2</sub>max. The target HR for the submaximal exercise sessions was higher in the &#8220;speed&#8221; protocol compared to the &#8220;grade&#8221; incremental protocol (p &lt; 0.01) and remained stable during the two steady-state exercise sessions. Blood lactate remained stable during the submaximal exercise sessions, with higher values observed during the &#8220;speed&#8221; protocol than those &#8220;grade&#8221; incremental protocol (p &lt; 0.01). </p>
        </sec>
        <sec>
          <title>Conclusions:</title>
          <p>Compared to a grade-based protocol, a speed-based protocol resulted in higher VT<sub>1</sub> and VT<sub>2</sub>, which significantly affected cardiorespiratory and metabolic responses to prescribed exercise intensity in healthy young adults.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Cardiovascular Diseases</kwd>
        <kwd>Exercise Test</kwd>
        <kwd>Exercise Tolerance</kwd>
        <kwd>Oxygen Consunption</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>Cardiopulmonary exercise testing (CPET) provides valuable diagnostic and prognostic information for healthy subjects and patients with cardiovascular disease<xref ref-type="bibr" rid="B1">1</xref><sup>,</sup><xref ref-type="bibr" rid="B2">2</xref> and has long been used in the assessment of athletic performance, as well as for various research applications.<xref ref-type="bibr" rid="B3">3</xref> CPET responses have also been extensively used for the prescription of exercise intensity during aerobic training.<xref ref-type="bibr" rid="B4">4</xref> In this context, maximal oxygen uptake (VO<sub>2</sub>max) and, both first (VT<sub>1</sub>) and second (VT<sub>2</sub>) thresholds, have been used as reference points for exercise prescription among both athletes and patients with cardiovascular disease.<xref ref-type="bibr" rid="B4">4</xref><sup>-</sup><xref ref-type="bibr" rid="B7">7</xref>
			</p>
      <p>Tests based on ramp protocols are recommended for CPET because they generally provide a linear increase in VO<sub>2</sub> relative to workload, particularly when performed on the cycle ergometer.<xref ref-type="bibr" rid="B8">8</xref><sup>-</sup><xref ref-type="bibr" rid="B11">11</xref> The VT<sub>1</sub> and the VT<sub>2</sub> occur at similar VO<sub>2</sub>, independent of the rate of increase in exercise intensity on the cycle ergometer<xref ref-type="bibr" rid="B12">12</xref><sup>,</sup><xref ref-type="bibr" rid="B13">13</xref> and the same is true for the determination of the VT<sub>1</sub> on the treadmill.<xref ref-type="bibr" rid="B14">14</xref> Regardless of differences between cardiorespiratory fitness measured on a cycle ergometer and a treadmill, the choice of the ergometer may influence VT<sub>1</sub> determination.<xref ref-type="bibr" rid="B14">14</xref><sup>,</sup><xref ref-type="bibr" rid="B15">15</xref>
			</p>
      <p>In the Americas, the treadmill is the exercise mode of choice in clinical settings.<xref ref-type="bibr" rid="B1">1</xref><sup>,</sup><xref ref-type="bibr" rid="B2">2</xref><sup>,</sup><xref ref-type="bibr" rid="B16">16</xref> When using the treadmill, it can be difficult to achieve a linear response in metabolic rate because of the walk-run transition,<xref ref-type="bibr" rid="B17">17</xref> the rate of increase in speed and grade,<xref ref-type="bibr" rid="B18">18</xref><sup>-</sup><xref ref-type="bibr" rid="B20">20</xref> or handrail support and its effect on economy.<xref ref-type="bibr" rid="B14">14</xref> Moreover, there is little information available on the effects of different treadmill ramp protocol increments on the detection of the VT<sub>1</sub> and VT<sub>2</sub>.<xref ref-type="bibr" rid="B14">14</xref><sup>,</sup><xref ref-type="bibr" rid="B15">15</xref>
			</p>
      <p>Changes in speed and/or grade may be used to develop an appropriate treadmill ramp protocol in efforts to make the work rate increments as linear as possible.<xref ref-type="bibr" rid="B20">20</xref> In this regard, work rate increments can have notable effects on the response to exercise due to the disproportionate interaction between muscle activation,<xref ref-type="bibr" rid="B21">21</xref><sup>-</sup><xref ref-type="bibr" rid="B23">23</xref> kinematic variables related to gait, and oxygen uptake (VO<sub>2</sub>) kinetics;<xref ref-type="bibr" rid="B24">24</xref> and each of these factors can significantly influence VO<sub>2</sub> during exercise. Moreover, the impact of the type of increment during CPET performed on a treadmill with regard to exercise prescription has not been previously studied. Therefore, this study was conducted to compare the effects of two treadmill ramp protocols on the detection of VT<sub>1</sub> and VT<sub>2</sub>. We applied one protocol mainly using speed increments and another using mainly grade increments. In addition, we evaluated the steady-state response to exercise prescription based on the measured ventilatory thresholds from the two protocols.</p>
    </sec>
    <sec sec-type="materials|methods">
      <title>Material and methods</title>
      <sec>
        <title>Participants</title>
        <p>Four male and five female subjects, aged 29 &#177; 6 years [95% CI = 25; 33], height 170 &#177; 8 cm [95% CI = 165; 175], and weight 65 &#177; 8 kg [95% CI = 60; 71], participated in the study. All subjects were active and otherwise healthy as determined by medical history, physical examination, and resting and exercise electrocardiograms. None were taking medications. The subjects did not vary their activity levels during the testing period. All rights and privileges were honored in accordance with an established human subject&#8217;s protocol, and informed consent was obtained. The ethics committee of the institution approved the protocol.</p>
      </sec>
      <sec>
        <title>Protocol</title>
        <p>The protocol included two maximal incremental CPETs and two submaximal exercise sessions, performed on different days; the type of increment was chosen in random order. All tests were performed in a comfortable laboratory environment, with a minimum of 48 hours between tests. The CPET system underwent gas and volume calibration before each exercise test. No handrail support was allowed during the tests.<xref ref-type="bibr" rid="B3">3</xref> The randomization of protocols was performed by an independent researcher using the software Rx 64 version 13. The protocol randomized for the first incremental CPET was the same for the first submaximal exercise session.</p>
      </sec>
      <sec>
        <title>Incremental cardiopulmonary exercise tests</title>
        <p>Two incremental protocols were used for determination of VT<sub>1</sub>, VT<sub>2</sub>, and VO<sub>2</sub>max. The subjects were positioned on the treadmill (Inbramed, TK10200, Porto Alegre, Brazil) and initially walked 2.0 km.h<sup>-1</sup> and 1% grade for 2 min. The speed protocol then increased to 5.5 km.h<sup>-1</sup> and 1% of grade and increments of 0.1 to 0.3 km.h<sup>-1</sup> were added every 15s (<xref ref-type="fig" rid="f1">Figure 1A</xref>), with a constant grade (<xref ref-type="fig" rid="f1">Figure 1C</xref>). If the maximal speed of the treadmill (16 km/h) was attained, exercise intensity was further increased by grade increments of 0.5% per 30s. The grade protocol started at 5.5 km.h<sup>-1</sup> and 1% of grade, with increments of 0.1 km.h<sup>-1</sup> every 45s (<xref ref-type="fig" rid="f1">Figure 1B</xref>) and 1% increases in grade every 30s (<xref ref-type="fig" rid="f1">Figure 1D</xref>). Subjects exercised until volitional fatigue. During recovery from the incremental tests, subjects walked on the treadmill at 2 km.h<sup>-1</sup> for 7 min. Fingertip blood samples were collected at 1, 3, 5, and 7 min for the determination of maximal blood lactate during recovery.</p>
        <p>
          <fig id="f1">
            <label>Figure 1</label>
            <caption>
              <title>Increments in speed and grade during the speed and grade protocols.</title>
            </caption>
            <graphic xlink:href="2359-5647-ijcs-32-04-0374-90058-gf01.jpg"/></fig>
        </p>
      </sec>
      <sec>
        <title>Cardiorespiratory variables</title>
        <p>Heart Rate (HR) was determinate based on the R-R intervals from a twelve-lead electrocardiogram (Micromed-Biotecnologia, Bras&#237;lia, Brazil). Perceived exertion using the 0 to 10 Borg scale<xref ref-type="bibr" rid="B25">25</xref> was obtained every 2 min. Gas exchange variables were measured breath-by-breath by a validated system (Metalyzer 3B, CPET System, Cortex, Leipzig, Germany) and expressed in 20s intervals.<xref ref-type="bibr" rid="B26">26</xref> VO<sub>2</sub>max was defined as the highest value measured for a period of 20s during the CPET. VT<sub>1</sub> and VT<sub>2</sub> were determined by visual inspection. VT<sub>1</sub> was identified as the VO<sub>2</sub> or HR immediately before a systematic increase in the ventilatory equivalent for oxygen (minute ventilation [VE] / VO<sub>2</sub>), without an increase in the ventilatory equivalent for carbon dioxide (VE / carbon dioxide output [ECO<sub>2</sub>]).<xref ref-type="bibr" rid="B3">3</xref><sup>,</sup><xref ref-type="bibr" rid="B27">27</xref> The V-slope method was also used to confirm the VT<sub>1</sub>. VT<sub>2</sub> was identified as the point immediately before a systematic increase in VE/VECO<sub>2</sub>, usually at the same time that the end-tidal CO<sub>2</sub> decreased systematically.<xref ref-type="bibr" rid="B3">3</xref> All ventilatory thresholds and VO<sub>2</sub>max evaluations were determined by the same experienced researcher, who was blinded to the protocols.</p>
      </sec>
      <sec>
        <title>Exercise prescription</title>
        <p>The exercise intensity during the submaximal exercise sessions was based on the HR corresponding to the mean point between VT<sub>1</sub> and VT<sub>2</sub>, obtained from the speed and grade protocols. During submaximal exercise sessions, the subjects underwent 10 min of walking-running in order to reach the target HR, followed by 30 min running at target HR. The treadmill was maintained at a constant level during the submaximal exercise sessions and speed was adjusted to maintain a stable HR. Rather than applying a constant workload, we chose to maintain a stable HR because the individuals exercised at intensities above the VT1, where the steady state is not established with a constant work rate.<xref ref-type="bibr" rid="B13">13</xref><sup>,</sup><xref ref-type="bibr" rid="B28">28</xref> Moreover, the target HR is frequently used to monitor aerobic training exercise sessions in practice.<xref ref-type="bibr" rid="B4">4</xref> During the submaximal exercise sessions, HR and gas exchange responses were continuously monitored as described above. Perceived exertion and blood lactate samples were obtained at rest and every 10 min. </p>
      </sec>
      <sec>
        <title>Blood lactate analysis</title>
        <p>Twenty-five &#181;L fingertip blood samples were mixed with 50&#181;L of 1% sodium fluoride. This solution was then frozen for later analysis of blood lactate concentration using a dedicated analyzer (YSI 1500-L Sport, Yellow Springs, Ohio, USA).</p>
      </sec>
      <sec>
        <title>Statistical analysis</title>
        <p>Based on a previous study,<xref ref-type="bibr" rid="B29">29</xref> a minimum sample size was estimated to be 7 subjects, using a power of 90% and an alpha of 0.05 to detect a 10% difference (16 bpm) in the prescribed HR between protocols. Two subjects were added to the sample to account for dropouts. We used the Kolmogorov-Smirnov test to assess the normality of variables. Descriptive data are presented as mean (M) and standard deviations (SD) and 95% confidence interval (95% CI). To evaluate intra-observer reproducibility in the detection of VT<sub>1</sub>, VT<sub>2</sub>, and VO<sub>2</sub>max, gas exchange curves of all tests were reviewed by the same blinded investigator twice within a one-week interval. Paired t tests, Pearson&#8217;s correlation coefficients, and Bland-Altman analyses<xref ref-type="bibr" rid="B30">30</xref> were used to assess intra-observer reproducibility. The responses to incremental and submaximal exercise tests were compared using paired t tests for two means and by generalized estimating equations for three or more means. When appropriate, multiple comparisons were evaluated using Bonferroni correction. The calculations for sample size, planning for randomization and Bland-Altman analyses were performed using R 3.0 (Free Software Foundation&#8217;s GNU Project), and all other analyses were performed using SPSS 21.0 software (IBM, New York, USA).</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>All subjects completed the incremental exercise tests and the exercise sessions without complications. For the intra-observer reproducibility analysis, there were no significant differences in VO<sub>2</sub> (ml.kg<sup>-1</sup>.min<sup>-1</sup>) between the two evaluations in terms of detection of VT<sub>1</sub> (&#8220;speed&#8221;: 27.5 &#177; 7.4 [95% CI = 21.8; 33.2] vs 26.4 &#177; 7.2 [95% CI = 20.9; 31.9], p = 0.11; &#8220;grade&#8221;: 24.9 &#177; 6.1 [95% CI = 20.2; 29.6] vs 25.9 &#177; 6.2 [95% CI = 21.1; 30.7], p = 0.16); VT<sub>2</sub> (&#8220;speed&#8221;: 32.4 &#177; 9.2 [95% CI = 25.3; 39.5] vs 32.5 &#177; 9.2 [95% CI = 25.4; 39.6], p = 0.85; &#8220;grade&#8221;: 29.7 &#177; 6.5 [95% CI = 24.6; 34.7] vs 30.9 &#177; 6.9 [95% CI = 25.6; 36.2], p = 0.08), and VO<sub>2</sub>max (&#8220;speed&#8217;: 35.8 &#177; 10.8 [95% CI = 27.5; 44.2] vs 35.8 &#177; 10.8 [95% CI = 27.2; 44.2], p = 0.99; &#8220;grade&#8221;: 34.7 &#177; 9.7 [95% CI = 27.2; 42.1] vs 34.7 &#177; 9.8 [95% CI = 27.2; 42.1], p = 0.99). Intra-observer agreement results are presented in <xref ref-type="fig" rid="f2">Figure 2</xref>. The two protocols exhibited strong correlation coefficients between the first and second evaluations, varying from 0.95 to 1.00 (1<sup>st</sup> and 3<sup>rd</sup> columns of <xref ref-type="fig" rid="f2">Figure 2</xref>). Likewise, Bland-Altman plots demonstrated values within the acceptable limits of agreement between the first and second evaluations (2<sup>nd</sup> and 4<sup>th</sup> columns of <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
      <p>
        <fig id="f2">
          <label>Figure 2</label>
          <caption>
            <title>Validity testing of the first and second evaluations of ventilatory thresholds and maximal oxygen uptake. The first and third columns of the graphs show scatter plots and correlation coefficients. The diagonal lines represent the identity lines. Graphs on the second and fourth columns are Bland-Altman plots. The horizontal lines represent upper limit, bias and lower limit for difference between the two evaluations. CPET: cardiopulmonary exercise test.</title>
          </caption>
          <graphic xlink:href="2359-5647-ijcs-32-04-0374-90058-gf02.jpg"/></fig>
      </p>
      <p><xref ref-type="table" rid="t1">Table 1</xref> shows the incremental exercise test results performed according to the speed and grade protocol. Resting HR and blood lactate were similar between the protocols. At peak exercise, HR was higher with the speed protocol, while no differences were observed between VO<sub>2</sub>max, VCO<sub>2</sub>max, and VEmax. Peak respiratory exchange ratio was lower with the speed protocol, as well as perceived leg exertion. Maximal blood lactate concentrations and time to maximal blood lactate concentration during recovery were similar with the two protocols.</p>
      <table-wrap id="t1">
        <label>Table 1</label>
        <caption>
          <title>Ergometric data, cardiorespiratory, and metabolic results at rest and incremental exercise test with the speed and grade protocol</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup>
            <col width="33%"/>
            <col width="33%"/>
            <col width="33%"/>
          </colgroup>
          <thead>
            <tr>
              <th align="left" style="background-color:#C5C6C8">
							</th>
              <th align="center" style="background-color:#C5C6C8">Speed (n = 9)<break/>M &#177; SD (95% CI)</th>
              <th align="center" style="background-color:#C5C6C8">Grade (n = 9)<break/>M &#177; SD (95% CI)</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left">
                <bold>Rest</bold>
              </td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Heart rate (beats.min<sup>-1</sup>)</td>
              <td align="center">72 &#177; 12 (65; 79)</td>
              <td align="center">73 &#177; 12 (66; 81)</td>
            </tr>
            <tr>
              <td align="left">Blood lactate (mmol.L<sup>-1</sup>)</td>
              <td align="center">1.79 &#177; 0.62 (1.41; 2.17)</td>
              <td align="center">1.69 &#177; 0.59 (1.33; 2.06)</td>
            </tr>
            <tr>
              <td align="left">
                <bold>Peak exercise</bold>
              </td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Time (s)</td>
              <td align="center">694 &#177; 206 (574; 821)</td>
              <td align="center">568 &#177; 151 (483; 662)<xref ref-type="table-fn" rid="TFN2">*</xref>
							</td>
            </tr>
            <tr>
              <td align="left">Speed (km.h<sup>-1</sup>)</td>
              <td align="center">13.5 &#177; 2.5 (12.0; 14.9)</td>
              <td align="center">6.2 &#177; 0.3 (6.0; 6.4)<xref ref-type="table-fn" rid="TFN2">*</xref>
							</td>
            </tr>
            <tr>
              <td align="left">Grade (%)</td>
              <td align="center">2.6 &#177; 2.6 (1.2; 4.3)</td>
              <td align="center">19.7 &#177; 4.9 (16.8; 22.7)<xref ref-type="table-fn" rid="TFN2">*</xref>
							</td>
            </tr>
            <tr>
              <td align="left">Heart rate (beats.min<sup>-1</sup>)</td>
              <td align="center">189 &#177; 6 (184; 193)</td>
              <td align="center">183 &#177; 7 (179; 187)<xref ref-type="table-fn" rid="TFN2">*</xref>
							</td>
            </tr>
            <tr>
              <td align="left">Oxygen uptake (ml.kg<sup>-1</sup>.min<sup>-1</sup>)</td>
              <td align="center">35.8 &#177; 10.8 (29.7; 43.2)</td>
              <td align="center">34.7 &#177; 9.7 (28.9; 41.0)</td>
            </tr>
            <tr>
              <td align="left">Carbon dioxide output (L.min<sup>-1</sup>)</td>
              <td align="center">2.69 &#177; 1.0 (2.05; 3.28)</td>
              <td align="center">2.88 &#177; 1.16 (2.16; 3.54)</td>
            </tr>
            <tr>
              <td align="left">Minute ventilation (L.min<sup>-1</sup>)</td>
              <td align="center">102 &#177; 33 (81; 122)</td>
              <td align="center">106 &#177; 34 (84; 127)</td>
            </tr>
            <tr>
              <td align="left">Respiratory exchange ratio</td>
              <td align="center">1.14 &#177; 0.11 (1.06; 1.20)</td>
              <td align="center">1.25 &#177; 0.11 (1.17; 1.31)</td>
            </tr>
            <tr>
              <td align="left">
                <bold>Perceived exertion</bold>
              </td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Respiratory</td>
              <td align="center">9 &#177; 2 (8; 10)</td>
              <td align="center">9 &#177; 1 (8-; 10)</td>
            </tr>
            <tr>
              <td align="left">Legs</td>
              <td align="center">8 &#177; 2 (7; 10)</td>
              <td align="center">9 &#177; 1 (9; 10)<xref ref-type="table-fn" rid="TFN2">*</xref>
							</td>
            </tr>
            <tr>
              <td align="left">
                <bold>Maximal blood lactate during recovery</bold>
              </td>
              <td align="center">
							</td>
              <td align="center">
							</td>
            </tr>
            <tr>
              <td align="left">Blood lactate (mmol.L<sup>-1</sup>) </td>
              <td align="center">9.07 &#177; 2.29 (7.30; 10.83)</td>
              <td align="center">9.95 &#177; 2.25 (8.21; 11.68)</td>
            </tr>
            <tr>
              <td align="left">Time to maximal (min)</td>
              <td align="center">2 &#177; 2 (0.5; 3)</td>
              <td align="center">3 &#177; 2 (1; 5)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>M: mean; SD: standard deviation; 95%CI: 95% confidence interval.</p>
          </fn>
          <fn id="TFN2">
            <label>*</label>
            <p>p &lt; 0.01.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p><xref ref-type="fig" rid="f3">Figure 3</xref> shows VO<sub>2</sub> and HR responses to incremental exercise according to VT<sub>1</sub>, VT<sub>2</sub>, the mean point between VT<sub>1</sub> and VT<sub>2</sub>, and VO<sub>2</sub>max. VO<sub>2</sub> at these 4 intensities was higher with the speed protocol (<xref ref-type="fig" rid="f3">Figure 3A</xref>). When expressed as a percentage of VO<sub>2</sub>max, these differences were also statistically significant (Intensity: P &lt; 0.01; Protocol: P = 0.01; Interaction: P = 0.18). The &#8220;speed&#8221; protocol resulted in higher HR (bpm) for the VT1 (153 &#177; 14 [95% CI = 146; 168] vs 144 &#177; 8 [95% CI = 137; 150], p &lt; 0.01), the VT<sub>2</sub> (176 &#177; 7 [95% CI = 171; 182] vs 165 &#177; 8 [95% CI = 159; 171], p &lt; 0.01), the mean point between VT<sub>1</sub> and VT<sub>2</sub> (169 &#177; 9 [95% CI = 162; 176] vs 156 &#177; 8 [95% CI = 150; 162], p &lt; 0.01), and peak exercise (189 &#177; 8 [95% CI = 183; 195] vs 183 &#177; 7 [95% CI = 178; 188], p &lt; 0.01) (<xref ref-type="fig" rid="f3">Figure 3B</xref>). The responses were also significantly different when HR was analyzed as a percentage of the peak (Intensity: p &lt; 0.01; Protocol: p &lt; 0.01; Interaction: p = 0.01).</p>
      <p>
        <fig id="f3">
          <label>Figure 3</label>
          <caption>
            <title>Oxygen consumption and heart rate responses at four points during the maximal exercise tests with the speed and grade protocols. Data are expressed as mean +/- SE. VT<sub>1</sub>: first ventilatory threshold; VT<sub>2</sub>: second ventilatory threshold. * p &lt; 0.01 between protocols.</title>
          </caption>
          <graphic xlink:href="2359-5647-ijcs-32-04-0374-90058-gf03.jpg"/></fig>
      </p>
      <p>The submaximal exercise sessions were analyzed from 10 to 40 min, corresponding to the steady-state phase of exercise (<xref ref-type="fig" rid="f4">Figure 4</xref>). Similarly to the comparison of protocols, subjects exhibited stable HR responses (<xref ref-type="fig" rid="f4">Figure 4A</xref>), with higher levels observed during the session based on the speed protocol. Blood lactate concentrations (<xref ref-type="fig" rid="f4">Figure 4B</xref>) were stable after 20 min, with higher concentrations observed during the speed protocol. To maintain a stable HR, speed was progressively reduced (<xref ref-type="fig" rid="f4">Figure 4C</xref>), resulting in a reduction of VO<sub>2</sub> (<xref ref-type="fig" rid="f4">Figure 4D</xref>). VE/VO<sub>2</sub> increased progressively (<xref ref-type="fig" rid="f4">Figure 4E</xref>), but there were no significant differences between protocols. The respiratory exchange ratio decreased progressively (<xref ref-type="fig" rid="f4">Figure 4F</xref>), with significant differences between the protocols. Perceived rates of respiratory (<xref ref-type="fig" rid="f4">Figure 4G</xref>) and leg (<xref ref-type="fig" rid="f4">Figure 4H</xref>) exertion were significantly higher during the sessions based on the speed protocol.</p>
      <p>
        <fig id="f4">
          <label>Figure 4</label>
          <caption>
            <title>Ventilatory and metabolic results from the prescribed submaximal exercise tests according to the speed and grade protocols. Darkened circles: exercise prescription based on the speed protocol; open circles: exercise prescription based on the grade protocol. All p values were obtained from generalized estimating equations. VE/VO<sub>2</sub>: ventilatory equivalent for oxygen. * p &lt; 0.05 between protocols.</title>
          </caption>
          <graphic xlink:href="2359-5647-ijcs-32-04-0374-90058-gf04.jpg"/></fig>
      </p>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>The major finding of the present study was that a treadmill protocol based mainly on speed increments resulted in higher VO<sub>2</sub> and HR corresponding to the VT<sub>1</sub> and VT<sub>2</sub> when compared to a treadmill protocol based mainly on grade increments. Moreover, the choice of the protocol had a significant impact on exercise prescription based on ventilatory thresholds. To our knowledge, this is the first report describing the impact of the type of increment during CPET performed on the treadmill on aerobic exercise prescriptions. </p>
      <p>Previous studies have shown that, when the cycle ergometer is used for the detection of ventilatory thresholds, the results are independent of the rate of increment in power output.<xref ref-type="bibr" rid="B9">9</xref><sup>,</sup><xref ref-type="bibr" rid="B31">31</xref><sup>,</sup><xref ref-type="bibr" rid="B32">32</xref> The detection of VT<sub>1</sub> is also not affected by the rate of increment in exercise intensity on the treadmill.<xref ref-type="bibr" rid="B14">14</xref> Despite the fact that the treadmill is the ergometer of choice in many clinical settings, no study has previously evaluated the impact of changing grade versus speed on the detection of ventilatory thresholds using the treadmill. Kinderman et al.,<xref ref-type="bibr" rid="B15">15</xref> evaluated the influence of different incremental treadmill protocols on the detection of the 4 mmol.L<sup>-1</sup> lactate threshold. In agreement with what had been shown for the cycle ergometer,<xref ref-type="bibr" rid="B9">9</xref> when fixed, absolute blood lactate concentrations are used to detect thresholds, and the results were dependent on the protocol used. In the present study, VO<sub>2</sub> values at the ventilatory thresholds were ~7% higher on the speed-based protocol when compared to the grade-based protocol. Likewise, HR at the ventilatory thresholds was ~8% higher on the speed-based protocol when compared to the grade-based protocol. The mechanisms by which a speed-based protocol results in higher ventilatory thresholds when compared to a grade-based protocol are not readily apparent from our data. Based on the findings of Kelsey &amp; Duffin,<xref ref-type="bibr" rid="B19">19</xref> in which greater ventilatory responses to speed than grade increments were observed on the treadmill for the same VO<sub>2</sub>, one would expect lower ventilatory thresholds with the speed protocol, assuming that greater limb movement frequency would be responsible for our findings. An additional potential explanation for the lower ventilatory thresholds for the grade-based protocol is activation of a larger muscle mass with increments in grade.<xref ref-type="bibr" rid="B23">23</xref> During uphill (+10%) running, the volume of activated limb muscles increases from 67% to 73%, and this is associated with greater oxygen deficit.<xref ref-type="bibr" rid="B21">21</xref> Moreover, uphill running is associated with greater glycogen depletion in the lower extremities.<xref ref-type="bibr" rid="B33">33</xref> Therefore, the grade-based protocol used in the present study probably resulted in the activation of a larger muscle mass, greater glycogen utilization, and earlier blood lactate accumulation, resulting in a lower VO<sub>2</sub> at the ventilatory thresholds. </p>
      <p>Some investigators have suggested that the prescription of exercise intensities for aerobic training using ventilatory (or blood lactate) thresholds as the reference is more physiologically sound than using a percentage of VO<sub>2</sub>max or a percentage of maximal HR.<xref ref-type="bibr" rid="B4">4</xref><sup>,</sup><xref ref-type="bibr" rid="B6">6</xref><sup>,</sup><xref ref-type="bibr" rid="B34">34</xref> Despite the fact that there are few data from controlled studies to support this strategy,<xref ref-type="bibr" rid="B35">35</xref> the concept that individuals with different ventilatory thresholds may exhibit different metabolic and cardiorespiratory responses to exercise at a given percentage of VO<sub>2</sub>max is well established.<xref ref-type="bibr" rid="B4">4</xref><sup>,</sup><xref ref-type="bibr" rid="B6">6</xref><sup>,</sup><xref ref-type="bibr" rid="B13">13</xref><sup>,</sup><xref ref-type="bibr" rid="B34">34</xref> Therefore, we compared metabolic and cardiorespiratory responses during exercise sessions with the intensities determined on CPET based on either speed or grade increments. As is commonly done in practice, exercise intensity was adjusted according to the HR corresponding to the mean point between VT<sub>1</sub> and VT<sub>2</sub>. Our data show that the choice of protocol has a significant impact on the exercise intensity prescribed for aerobic training based on the determination of ventilatory thresholds. The speed-based protocol resulted in a higher HR, blood lactate, speed, and perceived exertion during the exercise sessions. The size of this difference (~8% for HR and ~2 mmol.L<sup>-1</sup> for blood lactate) is substantial. If, for instance, the exercise prescription were to be set at the HR corresponding to VT<sub>2</sub>, the steady state blood lactate concentration would be reached using a grade-based protocol, but blood lactate would likely accumulate if a speed-based protocol was used.<xref ref-type="bibr" rid="B13">13</xref>
			</p>
      <p>Our study has several limitations. Ventilatory thresholds were visually determined by one experienced investigator (JPR) blinded to the identity of the subjects and the utilized protocol. Despite the fact that we did not evaluate the inter-observer agreement for the detection of thresholds, the intra-observer agreement was appropriate,<xref ref-type="bibr" rid="B11">11</xref><sup>,</sup><xref ref-type="bibr" rid="B27">27</xref> as demonstrated by similar mean values, high correlation coefficients, and Bland-Altman analyses within acceptable limits. Moreover, the standard criteria used in clinical practice, including ventilatory equivalents, V-slope, and the end-tidal CO<sub>2</sub>, were applied.<xref ref-type="bibr" rid="B3">3</xref><sup>,</sup><xref ref-type="bibr" rid="B36">36</xref> With this approach, the reproducibility for the detection of the ventilatory threshold was in agreement with previous studies.<xref ref-type="bibr" rid="B31">31</xref><sup>,</sup><xref ref-type="bibr" rid="B36">36</xref><sup>-</sup><xref ref-type="bibr" rid="B38">38</xref> Furthermore, to avoid the walking-running transition, which affects the linearity of VO<sub>2</sub> response, both protocols began at 5.5 km/h, a speed at which all subjects were jogging. Perhaps, other faster transition speeds might produce different results, which in fact may be the subject of a future experiment. Therefore, our findings cannot be extrapolated to protocols in which individuals do not run. Finally, our findings are limited to healthy young adults, and therefore may not be applicable to elderly individuals, children or those with pathological conditions. </p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>A speed-based protocol results in higher ventilatory thresholds when compared to a grade-based protocol during CPET performed on a treadmill. These findings have a significant impact on cardiorespiratory and metabolic responses to prescribed exercise intensity in healthy subjects. Due to fact that exercise prescription based on CPET often requires a high degree of confidence and safety, it is necessary to keep in mind that the same protocol must be utilized when the subject is re-tested during clinical practice. Finally, the speed-based protocol was more convenient because it was more applicable for exercise prescription.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure">
        <p>
          <bold>Sources of Funding</bold>
        </p>
        <p>There were no external funding sources for this study.</p>
      </fn>
      <fn fn-type="other">
        <p>
          <bold>Study Association</bold>
        </p>
        <p>This article is part of the thesis of doctoral submitted by Karlyse C. Belli, from <italic>Universidade Federal do Rio Grande do Sul</italic>.</p>
      </fn>
      <fn fn-type="other">
        <p>
          <bold>Ethics approval and consent to participate</bold>
        </p>
        <p>This article does not contain any studies with human participants or animals performed by any of the authors.</p>
      </fn>
    </fn-group>
    <ack>
      <title>Acknowledgements </title>
      <p>This work was supported by the <italic>Hospital de Cl&#237;nicas de Porto Alegre</italic> Fund for the Incentive of Research (FIPE/HCPA) from Porto Alegre, Brazil; the <italic>Coordena&#231;&#227;o de Aperfei&#231;oamento de Pessoal de N&#237;vel Superior</italic> (CAPES), Bras&#237;lia, Brazil; and the Brazilian Research Council (CNPq) Bras&#237;lia, Brazil.</p>
    </ack>
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