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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JSSM</journal-id>
<journal-title-group>
<journal-title>Journal of Sports Science and Medicine</journal-title>
<abbrev-journal-title>J Sports Sci &#x0026; Med</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1303-2968</issn>
<publisher>
<publisher-name>Uludag University</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">jssm-14-783</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Preseason Training: The Effects of a 17-Day High-Intensity Shock Microcycle in Elite Tennis Players</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Fernandez-Fernandez</surname><given-names>Jaime</given-names></name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x2709;</xref>
<bio>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jssm-14-783-g005.tif" mime-subtype="tif"/>
<p><bold>Jaime FERNANDEZ-FERNANDEZ</bold></p>
<sec>
<title>Employment</title>
<p>Assistant Professor at the Sports Research Centre, Miguel Hernandez University, Elche, Spain</p>
</sec>
<sec>
<title>Degree</title>
<p>PhD Sports Sciences</p>
</sec>
<sec>
<title>Research interests</title>
<p>Intermittent sports, physical performance, maturation</p>
<p><bold>E-mail:</bold> <email>jaime.fernandez&#x0040;goumh.umh.es</email></p>
</sec>
</bio>
</contrib>
<contrib contrib-type="author">
<name><surname>Sanz-Rivas</surname><given-names>David</given-names></name>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
<bio>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jssm-14-783-g006.tif" mime-subtype="tif"/>
<p><bold>David SANZ-RIVAS</bold></p>
<sec>
<title>Employment</title>
<p>Director of Coaches Education and Research. Royal Spanish Tennis Federation (RFET), Madrid, Spain</p>
</sec>
<sec>
<title>Degree</title>
<p>PhD Sports Sciences</p>
</sec>
<sec>
<title>Research interests</title>
<p>Tennis, Adapted physical activity, physical performance</p>
<p><bold>E-mail:</bold> <email>david.sanz&#x0040;rfet.es</email></p>
</sec>
</bio>
</contrib>
<contrib contrib-type="author">
<name><surname>Sarabia</surname><given-names>Jose Manuel</given-names></name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<bio>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jssm-14-783-g007.tif" mime-subtype="tif"/>
<p><bold>Jose Manuel SARABIA</bold></p>
<sec>
<title>Employment</title>
<p>Assistant Professor at the Sports Research Centre, Miguel Hernandez University, Elche, Spain</p>
</sec>
<sec>
<title>Degree</title>
<p>PhD Sports Sciences</p>
</sec>
<sec>
<title>Research interests</title>
<p>Strength training, physical performance, maturation</p>
<p><bold>E-mail:</bold> <email>jsarabia&#x0040;goumh.umh.es</email></p>
</sec>
</bio>
</contrib>
<contrib contrib-type="author">
<name><surname>Moya</surname><given-names>Manuel</given-names></name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<bio>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jssm-14-783-g008.tif" mime-subtype="tif"/>
<p><bold>Manuel MOYA</bold></p>
<sec>
<title>Employment</title>
<p>Professor at the Sports Research Centre, Miguel Hernandez University, Elche, Spain</p>
</sec>
<sec>
<title>Degree</title>
<p>PhD Sports Sciences</p>
</sec>
<sec>
<title>Research interests</title>
<p>Tennis, physical performance, testing and training in sports</p>
<p><bold>E-mail:</bold> <email>mmoya&#x0040;goumh.umh.es</email></p>
</sec>
</bio>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label><institution>Sports Research Centre, Miguel Hernandez University</institution>, <addr-line>Elche, Spain</addr-line></aff>
<aff id="aff002"><label>2</label><institution>Tennis Performance Research Group</institution>, <addr-line>Madrid, Spain</addr-line></aff>
<aff id="aff003"><label>3</label><institution>Royal Spanish Tennis Federation (RFET)</institution>, <addr-line>Madrid, Spain</addr-line></aff>
<author-notes>
<corresp id="cor1">&#x2709; Sports Research Centre; Miguel Hernandez University (Elche, Spain)</corresp>
</author-notes>
<pub-date pub-type="collection">
<month>12</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>01</day>
<month>12</month>
<year>2015</year>
</pub-date>
<volume>14</volume>
<issue>4</issue>
<fpage>783</fpage>
<lpage>791</lpage>
<history>
<date date-type="received">
<day>06</day>
<month>07</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>09</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; Journal of Sports Science and Medicine</copyright-statement>
<copyright-year>2015</copyright-year>
</permissions>
<abstract>
<p>Preseasons in tennis are normally reduced to 5 to 7 weeks duration, and coaches should use an integrated approach to conditioning and skill-based work. The aim of the present study was to investigate the effects of adding a high-intensity training (HIT) shock microcycle to the normal training content in several physical performance indicators in the preseason training of high-level male tennis players. Over 17 days, 12 male tennis players performed 13 HIT sessions in addition to their usual training. Physical performance tests (30:15 intermittent fitness test [V<sub>IFT</sub>], 20 m sprint, countermovement jump [CMJ], repeated sprint ability [RSA]) were conducted before (pre-test) and 5 days after the intervention (post-test). After the shock microcycle, results showed a significant increase in the VIFT (p &#x003C; 0.001; Large ES) and a significant decrease in the mean RSA time (RSAm) (p = 0.002; Small ES), while there were no significant changes in the other parameters analysed (e.g., 20 m, CMJ, best RSA time [RSAb]; percentage of decrement in the RSA [%Dec]). Moreover, the training load (TL) during tennis sessions was significantly higher (p &#x003C; 0.01; Large ES) than the TL during the integrated sessions, except during the first training session. A 17-day shock microcycle (i.e., 13 HIT sessions) in addition to the regular tennis training significantly improved parameters that can impact physical performance in tennis. Moreover, additional sessions, including running exercises based on the 30:15ITF and on-court specific exercises, were characterised by significantly lower TL than tennis-training sessions.</p>
<p><boxed-text position="float">
<caption><title>Key points</title></caption>
<list list-type="bullet">
<list-item><p>HIT shock microcycle increases performance in professional tennis players in a short period of time.</p></list-item>
<list-item><p>The inclusion of additional sessions, with running exercises based on the 30:15ITF and on-court specific exercises, was characterised by a significantly lower TL than tennis-training sessions alone.</p></list-item>
<list-item><p>Coaches should be aware of TL (e.g., RPE) and fatigue-related parameters (e.g., muscle soreness) in order to avoid overreaching symptoms.</p></list-item>
</list>
</boxed-text></p>
</abstract>
<kwd-group>
<title>Key words</title>
<kwd>Block periodisation</kwd>
<kwd>high-intensity training</kwd>
<kwd>intermittent fitness test</kwd>
<kwd>repeated-sprint ability</kwd>
<kwd>rate of perceived exertion</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="9"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1-1">
<title>Introduction</title>
<p>Tennis is an intermittent sport involving high-intensity efforts interspersed with periods of low-intensity activity, during which active recovery (between points) and passive periods (between changeover breaks in play) take place (Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref16">2009</xref>; Kovacs, <xref ref-type="bibr" rid="ref30">2007</xref>). Although the technical and tactical skills are considered the most predominant factors in tennis performance (Smekal et al., <xref ref-type="bibr" rid="ref40">2001</xref>), players also need a mixture of fitness qualities such as speed, agility, and power combined with a well-developed aerobic fitness in order to achieve high levels of performance (Fernandez et al., <xref ref-type="bibr" rid="ref15">2006</xref>; <xref ref-type="bibr" rid="ref16">2009</xref>). During competitive matches, mean heart rate (HR) values range between 70 and 80% of maximum (HR<sub>max</sub>), and peak values around 90 to 100% of HR<sub>max</sub>. Average oxygen uptake (VO<sub>2</sub>) values correspond to approximately 50 to 60% of maximum oxygen consumption (VO<sub>2max</sub>), with values above 80% of VO<sub>2max</sub> during intensive rallies (Kovacs, <xref ref-type="bibr" rid="ref30">2007</xref>). Rating of perceived exertion (RPE) has been reported as ranging from 5 to 7 au (arbitrary units on a scale of 1 to 10) (Coutts et al., <xref ref-type="bibr" rid="ref12">2010</xref>; Gomes et al., <xref ref-type="bibr" rid="ref25">2013</xref>), and 10 to 16 (on the Borg 20-point scale) (Mendez-Villanueva et al., <xref ref-type="bibr" rid="ref34">2010</xref>). Thus, it seems that the ability to maintain a high technical efficiency during those phases of high-intensity intermittent exercise (which can result in fatigue) is an important feature of successful tennis players (Mendez-Villanueva et al., <xref ref-type="bibr" rid="ref35">2007</xref>).</p>
<p>Elite tennis players travel and compete year round and have a demanding calendar. This can result in athletes focusing on competition and thus compromising training, leading to suboptimal recovery, conditioning, and overall preparation (Duffield et al., <xref ref-type="bibr" rid="ref13">2013</xref>; Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref16">2009</xref>). Because of the ever-increasing demands imposed on players, there is a progressive reduction of total training time devoted to preparation, with preseasons normally reduced to 5 to 7 weeks duration. At the highest levels of the game, this preseason is even reduced further with the increase in high-paid exhibition matches or non-sanctioned team events/tournaments. During the preseason, most tennis players do prioritise fitness training during the first couple of weeks, while the maintenance of technical and tactical skills also seems to be a key factor. Thus, coaches are increasingly relying on an integrated approach to conditioning and skill-based work, often resulting in the programming of game-specific, on-court exercises that include both technical and tactical assignments as part of sport-specific conditioning (Buchheit et al., <xref ref-type="bibr" rid="ref6">2009</xref>). High-intensity training (HIT) (i.e., work and rest intervals ranging from 15 s to 4 min; 90&#x2013;100% velocity at the level of VO<sub>2max</sub>; HR values &#x007E;90% of HR<sub>max</sub>; work-to-rest ratios of 1:1 to 4:1) (Laursen and Jenkins, <xref ref-type="bibr" rid="ref32">2002</xref>) that incorporates skills and movements specific to the sport has been reported to result in physiological responses that mirrored aspects of both average and maximal match-play and can be used as a training method aiming to improve tennis-specific fitness levels (Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref18">2012</xref>; Reid et al., <xref ref-type="bibr" rid="ref37">2008</xref>). Previous research has shown that the implementation of HIT protocols during preseason conditioning (i.e., 2&#x2013;3 training sessions per week for 6&#x2013;10 weeks) leads to enhanced sport-specific performance (Dupont et al., <xref ref-type="bibr" rid="ref14">2004</xref>; Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref18">2012</xref>; Sperlich et al., <xref ref-type="bibr" rid="ref41">2011</xref>). However, little is known about the integration of HIT in daily training sessions or in short periods of concentrated training.</p>
<p>As the tennis preseason is probably the shortest of all the major sports, the training schedule and how to organise the main physical abilities in order to achieve optimal training outcome and performance remain unclear. Block periodisation &#x2014; also described as &#x2018;a training cycle of highly concentrated specialized workloads&#x2019; or shock microcycle (Issurin, <xref ref-type="bibr" rid="ref29">2010</xref>), including HIT, in which training periods are divided into shorter periods (1&#x2013;4 weeks) with the main focus of improving a few specific abilities (i.e., VO<sub>2max</sub>) &#x2014; might be an alternative (Garcia-Pallares and Izquierdo, <xref ref-type="bibr" rid="ref24">2011</xref>; Issurin, <xref ref-type="bibr" rid="ref28">2008</xref>). While the potential benefits of this periodisation model have been theorised (Issurin, <xref ref-type="bibr" rid="ref29">2010</xref>), only a few studies have shown its relative effectiveness, mainly in endurance athletes (Breil et al., <xref ref-type="bibr" rid="ref3">2010</xref>; Garcia-Pallares and Izquierdo, <xref ref-type="bibr" rid="ref24">2011</xref>; Ronnestad et al., <xref ref-type="bibr" rid="ref39">2014</xref>). Results have shown that the use of shock microcycles leads to performance improvements in different sports (e.g., rowing, soccer, ski) (Breil et al., <xref ref-type="bibr" rid="ref3">2010</xref>; Christensen et al., <xref ref-type="bibr" rid="ref11">2011</xref>; Garcia-Pallares et al., <xref ref-type="bibr" rid="ref23">2010</xref>; Wahl et al., <xref ref-type="bibr" rid="ref46">2013</xref>). However, there is a lack of information about the use of these shock training microcycles in intermittent sports such as tennis. Therefore, the purpose of the present study was to investigate the effects of HIT addition to the normal training content in several physical performance indicators during the preseason training of high-level male tennis players.</p>
</sec>
<sec id="sec1-2" sec-type="methods">
<title>Methods</title>
<sec id="sec2-1">
<title>Subjects</title>
<p>Twelve healthy male tennis players (mean &#x00B1; SD: age 21.9 &#x00B1; 2.0 years; height 1.82 &#x00B1; 0.22 m and weight 76.4 &#x00B1; 5.9 kg) with a ranking between positions 500 and 800 (668.1 &#x00B1; 105.1) in the Association of Tennis Professionals (ATP) volunteered to participate in this study. Players trained 17 &#x00B1; 2.5 h&#x00B7;wk<sup>-1</sup> and had a training background of 12 &#x00B1; 2 years. All the players were free of cardiovascular and pulmonary disease and were not taking any medications. Prior to any participation, the experimental procedures and potential risks were explained fully to the players, and all provided written informed consent. The study was approved by the local ethics committee and conformed to the Declaration of Helsinki.</p>
</sec>
<sec id="sec2-2">
<title>Design</title>
<p>A 17-day HIT shock microcycle, including running exercises based on the 30:15 intermittent fitness test (30:15ITF) and on-court specific exercises organised in 13 training sessions (&#x007E;30 min each), was conducted (<xref ref-type="fig" rid="fig001">Figure 1</xref>). Before any baseline testing, all participants attended two familiarisation sessions to introduce the testing and training procedures and to ensure that any learning effect was minimal for the baseline measures. Fitness tests (30:15IFT, 20 m sprint, countermovement jump [CMJ], repeated sprint ability [RSA]) were conducted before (pre-test) and 5 days after the intervention (post-test). Between the last HIT session and the post-test, only on-court training combined with moderate intensity strength training and injury prevention (e.g., core training, shoulder strengthening, and flexibility) sessions were performed. Normal training consisted of 5 training sessions per week (60&#x2013;90 min each), with the main focus on technical/tactical drills and game-specific situations (e.g., sessions were designed by coaches to address the specific priorities of each athlete). Therefore, players were submitted to an overall training volume of &#x007E;22 h during the shock microcycle. The investigation was conducted during the European winter preparatory period (November&#x2013;December). All tests were conducted on an indoor synthetic court. To reduce the interference of uncontrolled variables, all subjects were instructed to maintain their habitual lifestyle and normal dietary intake before and during the study. The subjects were told not to exercise on the day before a test and to consume their last (caffeine-free) meal at least 2 h before the scheduled test time.</p>
</sec>
<sec id="sec2-3">
<title>Measurements</title>
<p><italic>30-15 Intermittent Fitness Test:</italic> Supramaximal intermittent performance with changes of direction was assessed using the 30-15IFT (Buchheit, <xref ref-type="bibr" rid="ref4">2008</xref>), which consisted of 30-s shuttle runs interspersed with 15-s passive recovery periods. The athletes had to run back and forth between two lines set 40 m apart at a pace dictated by an auditory signal. The speed was set at 8 km&#x00B7;h<sup>-1</sup> for the first 30-s run and was increased by 0.5 km&#x00B7;h<sup>-1</sup> every 45-s stage thereafter. The speed during the last completed stage was noted as velocity obtained in the intermittent fitness test (V<sub>IFT</sub>). The reliability of V<sub>IFT</sub> has been shown to be good (intraclass correlation coefficient [ICC] = 0.96; typical error [TE] 0.33 km&#x00B7;h<sup>-1</sup>) (Buchheit et al., <xref ref-type="bibr" rid="ref4">2008</xref>). HR was monitored and recorded at 5-s intervals during the test (Polar S610, Kempele, Finland), and maximum HR (HR<sub>max</sub>) was determined as the highest 5-s mean value.</p>
<p><italic>Speed Test:</italic> Running speed was evaluated by 20-m sprint times (standing start). Time was recorded with photoelectric cells (Time It; Eleiko Sport, Halmstad, Sweden). Each sprint was initiated 50 cm behind the photocell gate, which started a digital timer. Each player performed two maximal 20-m sprints, separated by at least 90 s of passive recovery (Buchheit et al., <xref ref-type="bibr" rid="ref7">2010</xref>). The best performance was recorded. The ICC and TE of the 20-m sprint were 0.96 and 0.06 s, respectively.</p>
<p><italic>Vertical Jumping:</italic> A CMJ without arm swing was performed on a contact-time platform (Ergojump&#x00AE;, Finland) according to Bosco et al. (<xref ref-type="bibr" rid="ref2">1983</xref>). Each player performed two maximal CMJs interspersed with 45 s of passive recovery, and the best height for each was recorded. The ICC and TE of the CMJ were 0.96 and 1 cm, respectively.</p>
<p><italic>RSA Test:</italic> The RSA test involved six repetitions of maximal 2 x 15-m shuttle sprints (&#x007E;6 s) departing every 20 s (Buchheit et al., <xref ref-type="bibr" rid="ref7">2010</xref>). During the approximately 14-s recovery between sprints, subjects were required to stand passively. Two seconds before starting each sprint, the subjects were asked to assume the start position as detailed for the 20-m sprints and await the start signal from a supervisor. The best sprint time (RSAb, s), mean sprint time (RSAm, s), and the percent sprint decrement (%Dec: 100 &#x2013; (mean time / best time &#x00D7; 100) were calculated. The ICC was 0.87, while the TE of the RSA test total time was 0.62 s.</p>
<p><italic>Training Programme:</italic> Before all training sessions, subjects performed a standardised dynamic warm-up (&#x007E;15 min) followed by submaximal 40-m shuttle runs at an intensity of 60 to 70% of HR<sub>max</sub> and four acceleration sprints during the runs based on the V<sub>IFT</sub>. During the on-court sessions, the 40-m shuttles and acceleration sprints were substituted by 6 to 8 min of tennis-specific activity (e.g., ground strokes, volleys, and serves).</p>
<p>The shock microcycle included 13 HIT sessions with different protocols (<xref ref-type="table" rid="table001">Table 1</xref> and <xref ref-type="fig" rid="fig002">Figures 2</xref> and <xref ref-type="fig" rid="fig003">3</xref>) designed with a similar training volume but a different work-to-rest-ratio. The first HIT protocol (P<sub>1</sub>) consisted of seven sets of 2 min intervals performed at intensities between 90 and 95% of HR<sub>max</sub> with 90 s of passive recovery in between. Players were required to perform forehand and backhand strokes in different positions on three tennis courts (i.e., hard court) following the methods previously described (<xref ref-type="fig" rid="fig002">Figure 2</xref>) (Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref17">2011</xref>). Three players performed the session at the same time, and thus the 12 players finished the training in a time window of &#x007E;80 min. An experienced professional coach, standing in the centre line of the opposite service boxes, hand-fed new tennis balls to the player at a speed determined by the completion of the previous shot (i.e., self-selected) (Reid et al., <xref ref-type="bibr" rid="ref37">2008</xref>) at a frequency of approximately one ball every 3 s, &#x00B1; 85 cm over the net, near designed landing circles (i.e., 60 x 90 cm). All players were required to move as fast as possible, hit with maximal effort, and try to maintain stroke accuracy.</p>
<p>HIT protocols 2 (P<sub>2</sub>; three sets of 10 repetitions of 30 s work and 30 s rest, with 2 min rest between sets) and 3 (P<sub>3</sub>; four sets of 15 repetitions of 15 s work and 15 s rest, with 90 s rest between sets) were intermittent runs performed over 40-m shuttles performed at individualised intensities ranging from 90 to 95% of the V<sub>IFT</sub>.</p>
<p>HIT protocol 4 (P<sub>4</sub>) consisted in the combination of different tennis drills (similar to previously described in different studies) (<xref ref-type="table" rid="table001">Table 1</xref>) selected by five qualified coaches with whom the athletes worked (Duffield et al., <xref ref-type="bibr" rid="ref13">2013</xref>; Reid et al., <xref ref-type="bibr" rid="ref37">2008</xref>, <xref ref-type="bibr" rid="ref38">2013</xref>). Drills involved specific groundstroke/open play from the baseline, with repeated strokes from different positions under pressure, but most specifically during baseline play (<xref ref-type="fig" rid="fig003">Figure 3</xref>) (Reid et al., <xref ref-type="bibr" rid="ref38">2013</xref>). An experienced professional coach hand-fed new tennis balls as in P<sub>1</sub>. Irrespective of the drill, all players were instructed to move and hit with maximal effort, directing all shots to the target areas placed in the baseline (<xref ref-type="fig" rid="fig003">Figure 3</xref>). Drills were performed on three tennis courts, with two players on each court. The 12 players finished the training in a time window of &#x007E;40 min.</p>
<p>HR was monitored during training sessions (Polar S610, Kempele, Finland). The data obtained from the HR monitors was downloaded onto a portable PC using the manufacturer&#x2019;s software. The training load (TL) for each session was calculated using the Session-RPE method for each subject during the intervention (Foster et al., <xref ref-type="bibr" rid="ref21">2001</xref>). TL was established post-session through multiplication of session-RPE (Borg CR-10) and duration. The following morning (09:00 h), players also provided the total quality recovery (TQR) (6&#x2013;20 Likert scale) and the perceived muscle and joint soreness (1&#x2013;10 Likert scale) (Duffield et al., <xref ref-type="bibr" rid="ref13">2013</xref>; Galambos et al., <xref ref-type="bibr" rid="ref22">2005</xref>).</p>
</sec>
<sec id="sec2-4">
<title>Statistical analysis</title>
<p>Descriptive statistics of the data are presented as means &#x00B1; standard deviation (&#x00B1; SD). To test if a 17-day high-intensity shock microcycle improves performance in elite tennis players, differences between pre- and post-test were calculated by a t-paired test, and two-way ANOVA (4 x 7) with different HIT protocols and physiological (e.g., HR, %HR<sub>max</sub>) and perceptual (e.g., RPE, session-RPE, TQR, perceived muscle and joint soreness) variables was used. When a significant difference was found for either main effect, a Bonferroni post-hoc analysis was performed in the measurements among the different training sessions. Moreover, Cohen&#x2019;s effect size (ES) was calculated for the comparison of variables analysed. The criteria to interpret the magnitude of the ES were: 0.0&#x2013;0.2 trivial, 0.2&#x2013;0.6 small, 0.6&#x2013;1.2 moderate, 1.2&#x2013;2.0 large, and >2.0 very large (Hopkins, <xref ref-type="bibr" rid="ref26">2000</xref>).</p>
</sec>
</sec>
<sec id="sec1-3">
<title>Results</title>
<p>A detailed analysis of the different training sessions (<xref ref-type="table" rid="table002">Table 2</xref>) showed the acute physiological and perceptual responses (<xref ref-type="table" rid="table003">Table 3</xref>) obtained in the four protocols used in the present study. Results showed that there were no significant differences in the parameters analysed except in the TL (e.g., session RPE), which was significantly higher in P1 and P4 (DSX) compared to P2 and P4 (DOP) (p &#x003C; 0.01; ES ranging from 1.2 to 1.4 [moderate to large]). Values for all variables at baseline and post intervention (e.g., 5 days after training) are presented in <xref ref-type="table" rid="table002">Table 2</xref>. Results showed a significant increase in the V<sub>IFT</sub> (p &#x003C; 0.001; Large ES) and a significant decrease in the RSAm (p = 0.002; Small ES), while there were no significant changes in the other parameters analysed (e.g., 20 m, CMJ, RSAb, %Dec).</p>
<p>A more detailed analysis of the TL induced by the training protocols used in the study and tennis training sessions is presented in <xref ref-type="fig" rid="fig004">Figure 4</xref>. Results show that the TL during tennis sessions was significantly higher (p &#x003C; 0.01; ES: 1.6 [Large]) than the TL during the training sessions using the training protocols, except during the first training session, where no differences were found.</p>
</sec>
<sec id="sec1-4">
<title>Discussion</title>
<p>Preseasons in professional tennis are short and traditional models of training periodisation seem to be unsuitable for high-level players. The aim of this study was to investigate the effects of HIT addition to the normal training content in several physical performance indicators during the preseason training of high-level male tennis players. The main results obtained were that a 17-day shock microcycle including 13 additional HIT sessions to the regular on-court tennis training significantly improved parameters (e.g., V<sub>IFT</sub>, RSAm) that can impact physical performance in tennis. Moreover, additional sessions, including running exercises based on the 30:15<sub>ITF</sub> and on-court specific exercises, were characterised by significantly lower TL than tennis-training sessions.</p>
<p>Several studies from intermittent sports &#x2014; mostly football &#x2014; have shown that HIT is an effective training strategy to enhance the aerobic capacity without negatively affecting strength, power, or sprint performance (Buchheit and Laursen, <xref ref-type="bibr" rid="ref5">2013</xref>). Despite the growing effectiveness from these training strategies in team sports (Iaia et al., <xref ref-type="bibr" rid="ref27">2009</xref>), to the authors&#x2019; knowledge, only two previous studies have focused on the specific effects of a 6- to 8-week intervention using different HIT programmes (i.e., on- and off-court HIT) in competitive and young tennis players (Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref18">2012</xref>; Srihirun et al., <xref ref-type="bibr" rid="ref42">2014</xref>) with positive results in aerobic fitness levels (e.g., VO<sub>2max</sub>). Thus, a severe increase in HIT volume for several consecutive days followed by a sufficient recovery seemed to provide a very time-efficient way for improving aerobic capacity (Breil et al., <xref ref-type="bibr" rid="ref3">2010</xref>). During the present 17-day intervention, tennis players performed 13 HIT sessions, resulting in large improvements in the V<sub>IFT</sub> (e.g., 6.5%) and small improvements in the RSAm (e.g., -0.5%). Although we were not able to show major improvements in VO<sub>2max</sub> due to the shock microcycle, as players did not perform a laboratory test, the results are similar to those reported in a previous study analysing the effects of a 6-week intervention using different HIT programmes, with 4 to 6% improvements in the players&#x2019; aerobic fitness levels, including the improvement in a tennis-specific endurance test (Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref18">2012</xref>). It has been reported that HIT can improve performance (e.g., time-trials) without the detection of concurrent increases in VO<sub>2max</sub> in well-trained endurance athletes (Lamberts et al., <xref ref-type="bibr" rid="ref31">2009</xref>; Swart et al., <xref ref-type="bibr" rid="ref43">2009</xref>; Wahl et al., <xref ref-type="bibr" rid="ref46">2013</xref>), with similar improvements in endurance performance (&#x007E;6%) as reported here. In addition, the present results are also similar to previous studies conducted with male soccer players, showing medium to large improvements (ES ranging from 0.8 to 1.9) in RSA and Yo-Yo intermittent recovery test level 2 (Yo-YoIR2) performance after a similar HIT block (e.g., 15 sessions) (Christensen et al., <xref ref-type="bibr" rid="ref11">2011</xref>; Wahl et al., <xref ref-type="bibr" rid="ref45">2014</xref>).</p>
<p>Improvements in the endurance performance in intermittent sports athletes seem to depend on training intensity (Baar, <xref ref-type="bibr" rid="ref1">2006</xref>; Iaia et al., <xref ref-type="bibr" rid="ref27">2009</xref>), and several previous studies have shown the practical effect of training time spent at intensities &#x007E;90% of the individual HR<sub>max</sub> on aerobic fitness and performance variables in young and professional athletes (Dupont et al., <xref ref-type="bibr" rid="ref14">2004</xref>; Sperlicht et al., <xref ref-type="bibr" rid="ref41">2011</xref>; Wahl et al., <xref ref-type="bibr" rid="ref45">2014</xref>). Average intensities of the training protocols used in the present study ranged from 90 to 95% of HR<sub>max</sub>, with training volumes of &#x007E;30 min per training protocol (i.e., ranging from 23 to 36 min). In this regard, previous research showed that the training time spent with HR >90% of the HR<sub>max</sub> positively affected aerobic fitness (e.g., speed at 2 and 4 mmol&#x00B7;L<sup>-1</sup>) as well as Yo-YoIR1 performance (Castagna et al., <xref ref-type="bibr" rid="ref9">2011</xref>, <xref ref-type="bibr" rid="ref10">2013</xref>).</p>
<p>The actual shock-microcycle also led to a small (ES = 0.4) improvement in the RSA test values (-0.5% in the RSAm). Training protocols used in the study included shuttle runs and on-court specific exercises. The involvement of the same muscles during acceleration and deceleration movements could lead players to positive changes in specific coordination during the RSA test, which is in line with previous studies using HIT protocols in tennis and soccer players (Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref18">2012</xref>; Ferrari-Bravo et al., <xref ref-type="bibr" rid="ref19">2008</xref>). Moreover, the lack of significant improvements in the CMJ or sprint time (20 m) could be related to the lack of overload and focus on speed and power training (Vescovi and McGuigan, <xref ref-type="bibr" rid="ref44">2008</xref>). Thus, a different combination of training methods (e.g., power and strength) should be included.</p>
<p>It is well known that optimal TL is crucial to achieve training outcomes and to improve performance. Although the risk of overreaching or even overtraining exists, it seems that intensive sessions are needed to generate adaptations and increases in performance (Foster, <xref ref-type="bibr" rid="ref20">1998</xref>). The present study reported RPE values during training sessions of 6.5&#x00B1;1.5 AU, while values averaged 5.6&#x00B1;1.3 AU during tennis sessions. Several previous studies specifically reported the RPEs of athletes following completion of training sessions as well as matches (under real or simulated conditions). The present data were similar to previous research analysing TLs associated with on-court drills as well as simulated match-play (e.g., 5&#x2013;7 AU) (Coutts et al., <xref ref-type="bibr" rid="ref12">2010</xref>; Gomes et al., <xref ref-type="bibr" rid="ref25">2013</xref>; Murphy et al., <xref ref-type="bibr" rid="ref36">2014</xref>; Reid et al., <xref ref-type="bibr" rid="ref38">2013</xref>). A previous study described the RPE and TL during real tournament conditions, with a weekly TL during competition of &#x007E;2900 AU and &#x007E;2400 during a preparation week before the competitive period (Coutts et al., <xref ref-type="bibr" rid="ref12">2010</xref>). The weekly TL obtained in the present study was 2583 &#x00B1; 996.4 AU, similar to the values reported by Coutts et al. (<xref ref-type="bibr" rid="ref12">2010</xref>), reflecting a level of preparation for tournament demands. Comparisons are difficult because other factors might influence the RPE values during elite competition (i.e., audience, ranking/prize pressure). Moreover, despite the high demands of the shock microcycle, we can speculate that the TLs reported seem not to be related to overreaching symptoms, as the athletes had positive performance adaptations after the intervention. In this regard, the addition of fatigue-related measures such as TQR and muscle/joint soreness can provide specific information about overreaching/overtraining symptoms, and improved perceptual recovery following training seems to be an important component of athlete recovery (Duffield et al., <xref ref-type="bibr" rid="ref13">2013</xref>). In terms of perceptual recovery after training sessions, results showed that players were reasonably well recovered, with average TQR values of &#x007E;13 (i.e., values ranging from &#x201C;very poor recovery&#x201D; to &#x201C;reasonable recovery&#x201D;). Moreover, TQR values did not differ between training protocols. Similar results were obtained for the perceived muscle/joint soreness, with average values of 5 to 6 (i.e., &#x201C;light&#x201D; to &#x201C;moderate&#x201D; pain) and no differences between protocols. Comparisons are difficult, since there are no studies analysing these parameters during training interventions in tennis, but we could speculate that although training sessions were categorised as &#x201C;hard&#x201D; (i.e., RPE values &#x007E;6.5), players were following good recovery routines (e.g., sleep hygiene, stretching) which could help them to reduce perceived soreness and fatigue following repeated daily training sessions. Further research examining the effect of volume variation (e.g., on- and off-court) on performance, including stress-related measurements (e.g., hormonal), is warranted. This would be of great interest to more efficiently prescribe effective training in tennis.</p>
<sec id="sec2-5">
<title>Limitations</title>
<p>Although the present study showed positive performance results with the inclusion of an HIT shock microcycle in a short period of time, there are some limitations which must be acknowledged. This study did not use a control group. However, the study was conducted with professional tennis players under a real preparation programme, which makes it impossible to have a control group of similar characteristics. Another limitation is the lack of more detailed fatigue-related measurements (e.g., muscle inflammation) which can provide specific information about overreaching/overtraining symptoms. To get a clearer idea of its practicability, a comparison of different training programmes (e.g., low-intensity training vs HIT) and the exact volume of HIT that has to be performed to sustain the improvements should also be investigated. However, we felt confident based on the performance improvement that this protocol did not negatively impact performance on any of the variables that we were measuring.</p>
</sec>
</sec>
<sec id="sec1-5">
<title>Conclusion</title>
<p>In conclusion, a 17-day shock microcycle (i.e., 13 HIT sessions) in addition to the regular on-court tennis training significantly improved parameters (e.g., V<sub>IFT</sub>, RSAm) that can impact physical performance in tennis. Moreover, additional sessions, including running exercises based on the 30:15ITF and on-court specific exercises, were characterised by significantly lower TL than tennis-training sessions. Although the results were positive, further research examining the effect of volume variation (e.g., on- and off-court) on performance, including stress-related measurements (e.g., hormonal), is warranted.</p>
<sec id="sec2-6">
<title>Practical applications</title>
<p>Tennis professionals have to deal with short preparation schedules, ranging from 5 to 7 weeks. Because maintaining technical skills is determinant and training time is premium, coaches are increasingly relying on an integrated approach to conditioning and skill-based work (Fernandez-Fernandez et al., <xref ref-type="bibr" rid="ref17">2011</xref>). However, to the best of our knowledge, there is no information about the specific preparation of professional tennis players. The results of the present study showed that an HIT shock microcycle, including running exercises based on the 30:15<sub>ITF</sub> and on-court specific exercises (e.g., training intervals ranging from 15 to 120 s; &#x007E;90-95% HR<sub>max</sub>), increases performance-related parameters in professional tennis players in a short period of time. Coaches should be aware of TL (e.g., RPE) and fatigue-related parameters (e.g., muscle soreness) in order to avoid overreaching symptoms. Regarding the use of these shock microcyles, further investigations should be directed to answer the questions &#x201C;How much is too much?&#x201D; and how many HIT sessions are needed to sustain this improvement throughout the subsequent training periods (Breil et al., <xref ref-type="bibr" rid="ref3">2010</xref>).</p>
</sec>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank all the players and coaches who participated in the study for their support in the design, testing, as well as the execution of the training sessions.</p>
</ack>
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</back>
<floats-group>
<fig id="fig001" position="float">
<label>Figure 1.</label>
<caption><p>Schematic representation of the training intervention.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jssm-14-783-g001.tif" mime-subtype="tif"/>
</fig>
<fig id="fig002" position="float">
<label>Figure 2.</label>
<caption><p>Schematic representation of the HIT training protocol 1 (P1). C: coach; P: player</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jssm-14-783-g002.tif" mime-subtype="tif"/>
</fig>
<fig id="fig003" position="float">
<label>Figure 3.</label>
<caption><p>Schematic representation of the HIT training protocols (P4). 3.1: &#x201C;Big X&#x201D;; 3.2: &#x201C;Suicide&#x201D;; 3.3: &#x201C;Recovery/Defensive&#x201D;; 3.4: &#x201C;Open Pattern&#x201D;</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jssm-14-783-g003.tif" mime-subtype="tif"/>
</fig>
<fig id="fig004" position="float">
<label>Figure 4.</label>
<caption><p><bold>Mean &#x00B1; standard deviation of the training load (TL) during the shock microcyle in both tennis sessions (TL-Tennis) and HIT training protocols (TL-Training).</bold> *, # Significantly different than the previous session; &#x0024; Significantly higher than specific-training sessions; TL: training load; S: session</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jssm-14-783-g004.tif" mime-subtype="tif"/>
</fig>
<table-wrap id="table001" position="float" orientation="portrait">
<label>Table 1.</label>
<caption><p>Descriptions of tennis training drills performed.</p></caption>
<table rules="all" frame="box">
<thead>
<tr>
<th align="center" valign="middle">Drill Category</th>
<th align="center" valign="middle">Description</th>
<th align="center" valign="middle">Example</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle"><bold>&#x201C;Suicide&#x201D;</bold></td>
<td align="center" valign="middle">Movement along the baseline (i.e., maximal efforts and jogging) combined with forehand and backhand strokes</td>
<td align="center" valign="middle">Figure 3.1</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>&#x201C;Big X&#x201D;</bold></td>
<td align="center" valign="middle">Diagonal movements inside/outside the court (i.e., maximal efforts and jogging) combined with forehand and backhand strokes</td>
<td align="center" valign="middle">Figure 3.2</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>Recovery/Defensive</bold></td>
<td align="center" valign="middle">Two players must both hit cross-court strokes, recover past centre mark after each stroke, then hit down the line strokes.</td>
<td align="center" valign="middle">Figure 3.3</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>Open Pattern</bold></td>
<td align="center" valign="middle">One player remains in a corner, hits alternating (e.g., free) cross-court strokes, then down the line. Other player must return ball to same corner.</td>
<td align="center" valign="middle">Figure 3.4</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="table002" position="float" orientation="portrait">
<label>Table 2.</label>
<caption><p>Changes in the physical performance measurements obtained during the pre- and post-tests. Values are presented as mean (&#x00B1; SD).</p></caption>
<table rules="all" frame="box">
<thead>
<tr>
<th align="left" valign="top">Measurements</th>
<th align="center" valign="top">Before training</th>
<th align="center" valign="top">5 days after training</th>
<th align="center" valign="top"><italic>P</italic></th>
<th align="center" valign="top">ES</th>
<th align="center" valign="top">% of change</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><bold>30-15IFT (kmh)</bold></td>
<td align="center" valign="top">19.3 (.7)</td>
<td align="center" valign="top">20.6 (.6)</td>
<td align="center" valign="top">&#x003C; .001<xref ref-type="table-fn" rid="tfn001">*</xref></td>
<td align="center" valign="top">1.88</td>
<td align="center" valign="top">6.5 (2.9)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>20 m (s)</bold></td>
<td align="center" valign="top">3.01 (.07)</td>
<td align="center" valign="top">3.01 (.08)</td>
<td align="center" valign="top">.13</td>
<td align="center" valign="top">.14</td>
<td align="center" valign="top">-.4 (.7)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>CMJ (cm)</bold></td>
<td align="center" valign="top">41.1 (2.4)</td>
<td align="center" valign="top">41.2 (2.2)</td>
<td align="center" valign="top">.62</td>
<td align="center" valign="top">.04</td>
<td align="center" valign="top">.2 (1.5)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>RSAb (s)</bold></td>
<td align="center" valign="top">6.01 (.08)</td>
<td align="center" valign="top">6.00 (.10)</td>
<td align="center" valign="top">.32</td>
<td align="center" valign="top">.25</td>
<td align="center" valign="top">-.3 (.9)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>RSAm (s)</bold></td>
<td align="center" valign="top">6.12 (.07)</td>
<td align="center" valign="top">6.10 (.10)</td>
<td align="center" valign="top">.002<xref ref-type="table-fn" rid="tfn001">*</xref></td>
<td align="center" valign="top">.43</td>
<td align="center" valign="top">-.5 (.3)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>%Dec</bold></td>
<td align="center" valign="top">-1.7 (.6)</td>
<td align="center" valign="top">-1.5 (.6)</td>
<td align="center" valign="top">.35</td>
<td align="center" valign="top">.09</td>
<td align="center" valign="top">-13.0 (4.4)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn001"><p>* Significant differences compared to pre-training; ES: effect sizes; CMJ: countermovement jump; RSAb: best time in the RSA; RSAm: mean time in the RSA; %Dec: percentage of decrement</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="table003" position="float" orientation="portrait">
<label>Table 3.</label>
<caption><p>Mean (&#x00B1; standard deviation) of acute physiological/perceptual responses obtained during the different training protocols. Values are presented as mean (&#x00B1; SD).</p></caption>
<table rules="all" frame="box">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Measurements</th>
<th align="center" valign="middle" rowspan="2">P<sub>1</sub></th>
<th align="center" valign="middle" rowspan="2">P<sub>2</sub></th>
<th align="center" valign="middle" rowspan="2">P<sub>3</sub></th>
<th align="center" valign="middle" colspan="2">P<sub>4</sub></th>
</tr>
<tr>
<th align="center" valign="top">DSX</th>
<th align="center" valign="top">DOP</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><bold>HR<sub>av</sub></bold></td>
<td align="center" valign="top">187(4)</td>
<td align="center" valign="top">179(5)</td>
<td align="center" valign="top">178(3)</td>
<td align="center" valign="top">187.4 &#x00B1; 2.9</td>
<td align="center" valign="top">177.8 &#x00B1; 2.0</td>
</tr>
<tr>
<td align="left" valign="top"><bold>%HR<sub>max</sub></bold></td>
<td align="center" valign="top">94.8 &#x00B1; 1.9</td>
<td align="center" valign="top">90.9 &#x00B1; 2.1</td>
<td align="center" valign="top">90.3 &#x00B1; 1.4</td>
<td align="center" valign="top">95.1 &#x00B1; 1.2</td>
<td align="center" valign="top">90.3 &#x00B1; 1.1</td>
</tr>
<tr>
<td align="left" valign="top"><bold>RPE</bold></td>
<td align="center" valign="top">7.3 &#x00B1; 0.8</td>
<td align="center" valign="top">5.8 &#x00B1; 1.0</td>
<td align="center" valign="top">6.4 &#x00B1; 0.5</td>
<td align="center" valign="top">7.4 &#x00B1; 0.8</td>
<td align="center" valign="top">5.6 &#x00B1; 1.3</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Training load (AU)</bold></td>
<td align="center" valign="top">218.3 &#x00B1; 23.4<sup><xref ref-type="table-fn" rid="tfn002">*</xref><xref ref-type="table-fn" rid="tfn003">#</xref></sup></td>
<td align="center" valign="top">172.5 &#x00B1; 30.3</td>
<td align="center" valign="top">191.7 &#x00B1; 14.7</td>
<td align="center" valign="top">222.5 &#x00B1; 22.9<sup><xref ref-type="table-fn" rid="tfn002">*</xref><xref ref-type="table-fn" rid="tfn003">#</xref></sup></td>
<td align="center" valign="top">167.5 &#x00B1; 38.3</td>
</tr>
<tr>
<td align="left" valign="top"><bold>TQR</bold></td>
<td align="center" valign="top">13.7 &#x00B1; 1.0</td>
<td align="center" valign="top">13.1 &#x00B1; 1.4</td>
<td align="center" valign="top">9.9 &#x00B1; 0.7</td>
<td align="center" valign="top">13.3 &#x00B1; 1.4</td>
<td align="center" valign="top">13.7 &#x00B1; 1.5</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Muscle Soreness</bold></td>
<td align="center" valign="top">4.9 &#x00B1; 0.9</td>
<td align="center" valign="top">5.5 &#x00B1; 0.7</td>
<td align="center" valign="top">7.0 &#x00B1; 0.8</td>
<td align="center" valign="top">7.3 &#x00B1; 0.7</td>
<td align="center" valign="top">5.8 &#x00B1; 0.8</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Joint Soreness</bold></td>
<td align="center" valign="top">4.9 &#x00B1; 1.0</td>
<td align="center" valign="top">3.3 &#x00B1; 0.9</td>
<td align="center" valign="top">4.5 &#x00B1; 1.3</td>
<td align="center" valign="top">6.4 &#x00B1; 0.8</td>
<td align="center" valign="top">6.9 &#x00B1; 0.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn002"><p>* Significantly higher than P2</p></fn>
<fn id="tfn003"><p># Significantly higher than P4 (DOP); HRav: average HR; %HRmax: percentage of maximum HR; RPE: rate of perceived exertion; AU: arbitrary units; TQR: total quality recovery</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
