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      <journal-id journal-id-type="publisher">sei</journal-id><journal-id journal-id-type="ojs">sei</journal-id>
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        <journal-title xml:lang="en">Sport, Exercise, and Injury</journal-title>
      </journal-title-group>
      <issn pub-type="epub">3090-8213</issn>
      <publisher>
        <publisher-name>CV Rezki Media</publisher-name>
      </publisher>
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    <article-meta>
      <article-id pub-id-type="doi">10.56003/sei.v1i1.553</article-id><article-id pub-id-type="publisher-id">553</article-id>
      <article-categories><subj-group subj-group-type="heading" xml:lang="en"><subject>Original Research</subject></subj-group></article-categories>
      <title-group><article-title xml:lang="en">Eccentric hamstring strength and asymmetry in female handball athletes: A descriptive study</article-title></title-group>
      <contrib-group content-type="author">
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0009-0002-2388-1093</contrib-id>
          <name-alternatives>
            <name name-style="western" specific-use="primary">
              <surname>Sanjaya</surname>
              <given-names>Alvito Dandy Putra</given-names>
            </name>
          </name-alternatives>
          <xref ref-type="aff" rid="aff-1"/>
          <email>alvito.21015@mhs.unesa.ac.id</email>
          <bio xml:lang="en">
            <p>Alvito Dandy Putra Sanjaya is a student of the Department of Sport Science, Faculty of Sport and Health Sciences, Universitas Negeri Surabaya, Indonesia.</p>
          </bio>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0003-1149-6091</contrib-id>
          <name-alternatives>
            <name name-style="western" specific-use="primary">
              <surname>Firmansyah</surname>
              <given-names>Awang</given-names>
            </name>
          </name-alternatives>
          <xref ref-type="aff" rid="aff-1"/>
          <email>awangfirmasnyah@unesa.ac.id</email>
          <bio xml:lang="en">
            <p>Awang Firmansyah, S.Or., M.Kes. is a lecturer at Surabaya State University. In the last 1 year, he has done 16 community services. He has published 16 scientific articles in journals. He has one book. He has presented one scientific seminar. He has obtained 1 IPR.</p>
            <p>Faculty of Sport and Health Sciences, Universitas Negeri Surabaya, Indonesia</p>
          </bio>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0003-4933-4362</contrib-id>
          <name-alternatives>
            <name name-style="western" specific-use="primary">
              <surname>Hakim</surname>
              <given-names>Aziz Abdul</given-names>
            </name>
          </name-alternatives>
          <xref ref-type="aff" rid="aff-1"/>
          <email>abdulaziz@unesa.ac.id</email>
          <bio xml:lang="en">
            <p>Dr. Abdul Aziz Hakim, S.Or., M.Or. is a lecturer at Surabaya State University. </p>
            <p>Faculty of Sport and Health Sciences, Universitas Negeri Surabaya, Indonesia</p>
          </bio>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0003-0772-4872</contrib-id>
          <name-alternatives>
            <name name-style="western" specific-use="primary">
              <surname>Bana</surname>
              <given-names>Panji</given-names>
            </name>
          </name-alternatives>
          <xref ref-type="aff" rid="aff-1"/>
          <email>panjibana@unesa.ac.id</email>
          <bio xml:lang="en">
            <p>Panji Bana, M.Pd. is an Assistant Professor at Surabaya State University. In the last 1 year, he taught 8 courses. He has done 19 community services.</p>
            <p>Faculty of Sport and Health Sciences, Universitas Negeri Surabaya, Indonesia</p>
          </bio>
        </contrib>
      </contrib-group>
      <aff id="aff-1">
        <institution content-type="orgname">Universitas Negeri Surabaya</institution>
      </aff>
      <pub-date date-type="collection"><year>2025</year></pub-date><pub-date date-type="pub" publication-format="epub" pub-type="epub"><day>17</day><month>06</month><year>2025</year></pub-date>
      <volume seq="7">1</volume><issue>1</issue><issue-id>22</issue-id><issue-title xml:lang="en">Sport, Exercise, and Injury </issue-title><fpage>60</fpage>
      <lpage>69</lpage>
      <permissions>
        <copyright-statement>Copyright (c) 2025 Alvito Dandy Putra Sanjaya, Awang Firmansyah, Aziz Abdul Hakim, Panji Bana</copyright-statement>
        <copyright-year>2025</copyright-year>
        <copyright-holder>Alvito Dandy Putra Sanjaya, Awang Firmansyah, Aziz Abdul Hakim, Panji Bana</copyright-holder>
        <license xlink:href="https://creativecommons.org/licenses/by-sa/4.0">
          <license-p>
            <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-sa/4.0">This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.</ext-link>
          </license-p>
        </license>
      </permissions>
      
      <self-uri xlink:href="https://journal.rezkimedia.or.id/index.php/sei/article/view/553/168" content-type="application/pdf"/><self-uri xlink:href="https://journal.rezkimedia.or.id/index.php/sei/article/view/553"/><abstract>
        <title>Abstract</title>
        <sec>
          <title>Background</title>
          <p>Handball is a competitive sport that requires high physical strength and muscle endurance. The game requires a balance of muscle strength to support athletes in performing movements such as sprints, jumps, and fast movement maneuvers. Lack of flexibility and high hamstring muscle asymmetry values ​​are risk factors for injury to handball athletes.</p>
        </sec>
        <sec>
          <title>Objectives</title>
          <p>This study aims to determine the eccentric strength and hamstring muscle asymmetry in female handball athletes in Surabaya City.</p>
        </sec>
        <sec>
          <title>Methods</title>
          <p>The study subjects were 13 female handball athletes from Surabaya aged 18-23 years with regional-level competition experience and no lower extremity injuries. The instrument in this study is Nordbord by Vald Performance; Nordbord is a portable rapid assessment tool that can analyze large groups, providing information about the exact functional strength parameters quickly and efficiently. This study used a quantitative descriptive method to analyze hamstring muscle strength and asymmetry data.</p>
        </sec>
        <sec>
          <title>Results</title>
          <p>Indicated the athletes had an average (body mass of 59.30 ± 10.94 kg and height of 164.80 ± 6.80 cm). The overall eccentric hamstring strength was 88.1% of the expected norm, with right and left maximum forces averaging 230.70 ± 48.80 N and 233.61 ± 50.15 N, respectively. The average asymmetry between legs was -1.44 ± 9.14%, suggesting relatively balanced muscle strength.</p>
        </sec>
        <sec>
          <title>Conclusions</title>
          <p>The study concluded that hamstring eccentric strength in both legs should be improved by approximately 11.9% while maintaining the current low asymmetry levels to support muscle balance. Targeted training interventions are recommended to increase hamstring strength and minimize asymmetry, enhancing performance and reducing injury risk in female handball athletes.</p>
        </sec>
      </abstract>
      
      <kwd-group xml:lang="en"><title>Keywords</title><kwd>asymmetry</kwd><kwd>eccentric</kwd><kwd>hamstring</kwd><kwd>handball</kwd><kwd>nordic hamstring</kwd></kwd-group><counts>
        <page-count count="10"/>
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  <body>
    <!-- PESSR Stage 13B | chart-map-count=0 -->
    <sec id="sec-2">
      <title>Introduction</title>
      <p>Handball is a very popular competitive sport today and has been quite popular in Indonesia. It is played in several regional and international competitions (<xref ref-type="bibr" rid="R9">Muarif et al., 2024</xref>). Depending on their position, each player has different physical demands, including explosive movements such as jumps, sprints, and quick direction changes, all of which require excellent strength and endurance. Therefore, handball is categorized as a sport with a high potential for injury, especially in the lower extremities (<xref ref-type="bibr" rid="R4">Firmansyah et al., 2024</xref>). In handball athletes playing in the Iceland league, the majority of injuries were to the lower extremities, particularly the knee (26%) and ankle (19%) (<xref ref-type="bibr" rid="R13">Rafnsson et al., 2019</xref>). Knee injuries, particularly anterior cruciate ligament (ACL) ruptures, are the most common serious injuries in individuals aged 15–19 years. Girls are at higher risk for ACL injuries, especially during adolescence (Schmidt &amp; Jaitner, 2023).</p>
      <p>The causes of injuries to the lower extremities of handball athletes are rapid changes in direction, sudden landings from jumps, and frequent contact and collisions between players (<xref ref-type="bibr" rid="R14">Raya-González et al., 2022</xref>). In addition, risk factors for injury also include weak muscle strength, improper technique, limited muscle flexibility, and a suboptimal injury rehabilitation process (<xref ref-type="bibr" rid="R5">Fredriksen et al., 2020</xref>).</p>
      <p>The hamstring muscle group is particularly crucial for activities such as acceleration, deceleration, and changing direction, where athletes often need to balance on one leg (<xref ref-type="bibr" rid="R19">Wing et al., 2020</xref>). Hamstring muscles play an important role in performance and injury prevention for handball athletes. Therefore, hamstring strength tests are important for athletes and coaches to understand hamstring muscle strength and its related normative data, and it is also important to design the right training program when evaluating rehabilitation progression and making return-to-play decisions (<xref ref-type="bibr" rid="R4">Firmansyah et al., 2024</xref>). In addition, normative data on hamstring muscle strength is essential for medical doctors and physical therapists to assess athletes' physical condition, determine their readiness, and ensure safety when they are ready to return to competition after injury. This data assists in evidence-based decision-making for rehabilitation and prevention (<xref ref-type="bibr" rid="R11">Owoeye et al., 2024</xref>).</p>
      <p>Four assessments of eccentric hamstring muscle strength with knee flexors often used to determine imbalance are carried out using the Nordic hamstring test (<xref ref-type="bibr" rid="R18">Van Dyk et al., 2019</xref>). Testing eccentric hamstring strength is crucial for assessing maximum strength and potential imbalances, especially for athletes and individuals at risk for hamstring injuries (<xref ref-type="bibr" rid="R3">Claudino et al., 2021</xref>). Eccentric strength assessment is more appropriate than isokinetic testing (<xref ref-type="bibr" rid="R2">Chavarro-Nieto et al., 2022</xref>). Several instruments are available to assess hamstring muscle strength, and eccentric strength assessment is helpful as an indicator for predicting injury, one of which is using the Nordic hamstring test (Timmins, 2016; Opar., 2015; Barrera-dom et al., 2021). Handball athletes with balanced hamstring muscle strength, indicated by low asymmetry values, tend to be able to perform techniques and movements more effectively. Good hamstring muscle balance not only improves athlete performance but also contributes to reducing the risk of injury. With optimal hamstring muscle strength, athletes can maintain stability and flexibility, which are very important in carrying out various techniques in handball. This study aimed to determine the strength and asymmetry of the hamstring muscles in female handball athletes in Surabaya City.</p>
      <p>Although many studies highlight the importance of hamstring muscle strength in preventing injury in handball athletes, data on the strength profile and asymmetry of hamstring muscles in female handball athletes is still limited. This study is important because it provides an empirical picture specific to the local population, which has not been widely explored in national and international literature. The results are expected to be a reference in developing evidence-based training programs and appropriate rehabilitation protocols while helping coaches and medical professionals identify and address muscle asymmetries at risk of increasing injury.</p>
    </sec>
    <sec id="sec-3">
      <title>Methods</title>
      <sec>
        <title>Study Design and Participants</title>
        <p>The subjects in this study were handball athletes from Surabaya City, consisting of 13 women aged 18-23 years. Subject selection was conducted using non-random (nonprobability) sampling with a purposive sampling technique. The selection of subjects was based on inclusion criteria, namely handball athletes with at least experience competing at the regional level and not currently experiencing lower extremity injuries. The exclusion criteria are athletes who do not have experience competing at the regional level and athletes who are currently experiencing lower extremity injuries.</p>
      </sec>
      <sec>
        <title>Ethical approval statement</title>
        <p>This research has been approved by the Health Research Ethics Committee of the Universitas Airlangga with Number 429/HRECC.FODM/VII/2024.</p>
      </sec>
      <sec>
        <title>Research Instruments</title>
        <p>The instrument in this study used Nordbord (Vald Performance), a portable rapid assessment tool that can analyze large groups, providing information on the same functional strength parameters quickly and efficiently (<xref ref-type="bibr" rid="R17">Timmins et al., 2016</xref>). The Nordbord tool in bilateral Nordic hamstring assessment showed high to moderate reliability, namely Intraclass Correlation Coefficient (ICC) = 0.83-0.90 and Standard Error of Measurement (SEM) = 6-9%. In addition, in assessing imbalance between limbs, the peak force ratio averaged over six trials was found to have acceptable reliability values (ICC = 0.85; 95% CI 0.71-0.93; SEM = 5%, 95% CI 4-6%). Before taking the measurements, all athletes had their height and weight measured, and they were then asked to warm up with more focus on the lower extremities. They were instructed to lean forward as slowly as possible while resisting the movement with the hamstring muscles. Each athlete was tested three times with a 1-minute rest period per repetition.</p>
      </sec>
      <sec>
        <title>Data Analysis</title>
        <p>This research is a descriptive study with quantitative methods. Quantitative descriptive statistical analysis involves using statistical techniques to describe, summarize, and analyze quantitative data. Quantitative data refers to data that can be measured or calculated using numerical values, such as weight, height, and others. The purpose of quantitative descriptive statistical analysis is to provide a comprehensive and accurate picture of the data collected to enable the interpretation and decision-making process by utilizing the available data. To test the frequency distribution by displaying the average, standard deviation, and asymmetry results and using Excel to calculate the percentage. Then, the strength and asymmetry of the Nordic hamstring test results were analyzed to determine the strength and asymmetry values of the hamstring muscles of each athlete using the Nordic hamstring formula (N = 4 × body mass (kg) + 26). The existing norms are used in the Valdhub application for the asymmetry value, which is directly connected to the Nordbord tool.</p>
      </sec>
    </sec>
    <sec id="sec-8">
      <title>Results</title>
      <p>The research results displayed through Table 1 to Table 7 and Figure 1 to Figure 3 provide a comprehensive picture of eccentric strength and hamstring muscle asymmetry in female handball athletes in Surabaya City. Table 1 presents descriptive statistics showing that the average right and left hamstring muscle strengths are 230.70 N and 233.61 N, respectively, with an average asymmetry value of -1.44%, indicating a relatively balanced muscle condition. Figure 1 reinforces this data by visualizing the variation in strength between individuals.</p>
      <table-wrap id="table1" position="float">
        <label>Table 1</label>
        <caption>
          <title>Descriptive Statistics</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th/>
              <th>N</th>
              <th>Minimum</th>
              <th>Maximum</th>
              <th>Mean</th>
              <th>Std. Deviation</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>Weight (Kg)</td>
              <td>13</td>
              <td>47.00</td>
              <td>90.00</td>
              <td>59.30</td>
              <td>10.94</td>
            </tr>
            <tr>
              <td>Height (Cm)</td>
              <td>13</td>
              <td>158.00</td>
              <td>183.00</td>
              <td>164.80</td>
              <td>6.80</td>
            </tr>
            <tr>
              <td>RMax Force (N)</td>
              <td>13</td>
              <td>143.00</td>
              <td>320.00</td>
              <td>230.70</td>
              <td>48.80</td>
            </tr>
            <tr>
              <td>LMax Force (N)</td>
              <td>13</td>
              <td>178.00</td>
              <td>341.00</td>
              <td>233.61</td>
              <td>50.15</td>
            </tr>
            <tr>
              <td>Max Asymmetry (%)</td>
              <td>13</td>
              <td>-19.40</td>
              <td>13.38</td>
              <td>-1.44</td>
              <td>9.14</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <fig id="fig1" position="float">
        <label>Figure 1</label>
        <caption>
          <title>Power Chart Athlete's Hamstring</title>
        </caption>
        <graphic 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"/>
      </fig>
      <p>The frequency distribution of hamstring muscle strength is shown in Table 2 and Table 3, where the left muscle strength is more concentrated in the 178-221 N range, while the right strength is more spread out.</p>
      <table-wrap id="table2" position="float">
        <label>Table 2</label>
        <caption>
          <title>Power Frequency Distribution Left Hamstring</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th>No.</th>
              <th>Max Left Force (N)</th>
              <th>Frequency</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>1</td>
              <td>178 - 221</td>
              <td>6</td>
            </tr>
            <tr>
              <td>2</td>
              <td>212 - 245</td>
              <td>2</td>
            </tr>
            <tr>
              <td>3</td>
              <td>246 - 279</td>
              <td>2</td>
            </tr>
            <tr>
              <td>4</td>
              <td>280 - 313</td>
              <td>2</td>
            </tr>
            <tr>
              <td>5</td>
              <td>314 - 347</td>
              <td>1</td>
            </tr>
            <tr>
              <td/>
              <td>Total</td>
              <td>13</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="table3" position="float">
        <label>Table 3</label>
        <caption>
          <title>Power Frequency Distribution Right Hamstring</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th>No.</th>
              <th>Max Right Force (N)</th>
              <th>Frequency</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>1</td>
              <td>143 - 178</td>
              <td>2</td>
            </tr>
            <tr>
              <td>2</td>
              <td>179 - 214</td>
              <td>3</td>
            </tr>
            <tr>
              <td>3</td>
              <td>215 - 250</td>
              <td>3</td>
            </tr>
            <tr>
              <td>4</td>
              <td>251 - 286</td>
              <td>2</td>
            </tr>
            <tr>
              <td>5</td>
              <td>287 - 322</td>
              <td>1</td>
            </tr>
            <tr>
              <td/>
              <td>Total</td>
              <td>13</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="table4" position="float">
        <label>Table 4</label>
        <caption>
          <title>Power Category Athlete's Hamstring</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th>Variable</th>
              <th>Min</th>
              <th>Max</th>
              <th>Mean</th>
              <th>Std. Deviation</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>Weight (Kg)</td>
              <td>47</td>
              <td>90</td>
              <td>59.31</td>
              <td>10.95</td>
            </tr>
            <tr>
              <td>L Force (N)</td>
              <td>177.75</td>
              <td>340.75</td>
              <td>233.73</td>
              <td>50.10</td>
            </tr>
            <tr>
              <td>R Force (N)</td>
              <td>143.25</td>
              <td>319.75</td>
              <td>230.48</td>
              <td>48.77</td>
            </tr>
            <tr>
              <td>Eccentric Strength (N=weight x 4 + 26)</td>
              <td>214</td>
              <td>386</td>
              <td>263.23</td>
              <td>43.80</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="table5" position="float">
        <label>Table 5</label>
        <caption>
          <title>Muscle Strength Percentage Right and Left Leg Hamstrings</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th>Variable</th>
              <th>Min</th>
              <th>Max</th>
              <th>Mean</th>
              <th>Std. Deviation</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>L Force (N)</td>
              <td>71.1</td>
              <td>106.4</td>
              <td>88.6</td>
              <td>11.48</td>
            </tr>
            <tr>
              <td>R Force (N)</td>
              <td>57.3</td>
              <td>106.9</td>
              <td>87.6</td>
              <td>12.84</td>
            </tr>
            <tr>
              <td>(% L + % R) / 2</td>
              <td>64.2</td>
              <td>106.6</td>
              <td>88.1</td>
              <td>11.48</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="table6" position="float">
        <label>Table 6</label>
        <caption>
          <title>Asymmetry Category Right and Left Hamstring</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th>Variable</th>
              <th>Min</th>
              <th>Max</th>
              <th>Mean</th>
              <th>Std. Deviation</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>Max Asymmetry (%)</td>
              <td>-19.4</td>
              <td>13.3</td>
              <td>-1.44</td>
              <td>9.10</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <fig id="fig2" position="float">
        <label>Figure 2</label>
        <caption>
          <title>Vald Normative Nordic Asymmetry</title>
        </caption>
        <graphic 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"/>
      </fig>
      <fig id="fig3" position="float">
        <label>Figure 3</label>
        <caption>
          <title>Results Average Asymmetry Nordic Hamstring Athletes</title>
        </caption>
        <graphic 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"/>
      </fig>
    </sec>
    <sec id="sec-9">
      <title>Discussion</title>
      <p>The results showed a significant variation in hamstring muscle strength in female handball athletes in Surabaya City. The average hamstring strength of the left leg reached 233.6 N, with the highest value of 340.75 N and the lowest 177.75 N, while the right leg had an average of 230 N, with the highest value of 319.75 N and the lowest 143.25 N. This difference indicates an imbalance of strength between athletes, even between limbs in one athlete. The proportion of athletes with strength below the average value is quite large, indicating that some athletes have not reached the optimal strength standard required to support performance and prevent injury. This underscores the importance of a training program focused on improving hamstring strength, especially for athletes with low strength values, to reduce the risk of injury and improve knee joint stability during competitive activities. The hamstring muscles are crucial in controlling daily body movements, playing a role in basic activities such as walking and running, as well as complex activities such as jumping and maintaining posture when sitting or standing (Paramita, Rahmanto, &amp; Rahim, 2024).</p>
      <p>In addition to hamstring muscle strength values, muscle asymmetry is an important factor affecting injury risk. The results showed that the lowest asymmetry value was -2.5% in the left leg and 0.4% in the right leg, while the highest asymmetry reached -19.4% in the left leg and 13.3% in the right leg. This significant difference in asymmetry indicates a muscle imbalance that can potentially increase the risk of injury, given that <xref ref-type="bibr" rid="R16">Silvers-Granelli et al. (2021)</xref> stated that the risk of injury increases if the strength deficit between sides exceeds 10-15%. However, on average, the asymmetry in Surabaya City female handball athletes is only 1.4%, far below the international normative limit of 6.8% for ages 20-30 years (Vald Performance), which indicates a relatively balanced muscle condition and supports optimal performance (<xref ref-type="bibr" rid="R6">Hammi, 2018</xref>).</p>
      <p>The asymmetry imbalance found in some athletes is likely due to the dominance of certain limbs, where athletes tend to use one leg more often as a fulcrum or dominant leg in movements such as kicking, jumping, or changing direction. In addition, uneven training loads or a lack of unilateral strengthening exercises may exacerbate this imbalance. Therefore, coaches need to identify athletes with high asymmetry and design training programs that target the strengthening of weaker limbs to reduce the risk of injury and improve athletes' stability and overall performance.</p>
      <p>The results showed that most female handball athletes in Surabaya City had not reached the ideal hamstring muscle strength category based on the Nordic Hamstring formula (N = 4 x body mass (kg) + 26). The average percentage of hamstring strength of all athletes only reached 88.1%, with details of 88.7% on the left leg and 87.6% on the right leg. This indicates an overall need for improvement in hamstring muscle strength of approximately 11.9%, with a slightly greater improvement in the right leg (12.4%) than the left leg (11.3%). Nonetheless, these results must be interpreted with caution, given the several limitations of this study. First, the relatively small sample size may limit the generalizability of the findings to a broader population of female handball athletes. In addition, strength measurements using the Nordic Hamstring Test are potentially subject to bias due to variability in execution techniques and athletes' motivation levels at the time of testing, which may affect the accuracy of the results. Geographical limitations are also important because the training conditions, coaching patterns, and characteristics of athletes in Surabaya may differ from those of other regions, so these results are not necessarily representative of athletes from other regions.</p>
      <p>A study with a larger and geographically diverse sample is recommended for future research to increase external validity. In addition, exploration of biomechanical factors that influence hamstring muscle strength and asymmetry, such as movement patterns, posture, and jumping technique, may provide further insight. Longitudinal studies are also highly recommended to monitor the development of muscle strength and injury risk over time, especially the training program implemented. With such an approach, training interventions can be better targeted to improve hamstring muscle strength and flexibility, which in turn can reduce injury risk and improve overall athlete performance; some exercise models that can be used to increase hamstring muscle strength and flexibility include:</p>
      <table-wrap id="table7" position="float">
        <label>Table 7</label>
        <caption>
          <title>Bilateral and Unilateral Exercise Recommendations for Improving Hamstring Muscle Strength and Balance</title>
        </caption>
        <table>
          <thead>
            <tr>
              <th>Bilateral Exercise</th>
              <th>Unilateral Exercise</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>Nordic Hamstring Curl</td>
              <td>Single Leg Hamstring Bridge</td>
            </tr>
            <tr>
              <td>Hip Thrust Exercise</td>
              <td>Single Leg Hip Thrust</td>
            </tr>
            <tr>
              <td>Swiss Ball Hip Extension and Leg Curl</td>
              <td>Single Leg Kettlebell Deadlift</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <sec>
        <title>Limitations of the study</title>
        <p>Although the results of this study provide important insights into hamstring muscle strength and balance, some limitations need to be noted. Firstly, the limited number of subjects (13 athletes) may reduce the generalizability of the findings to a broader population. Secondly, muscle strength measurements were made using the Nordic Hamstring test, which is susceptible to variations in execution techniques and athletes' motivation levels during testing, which may affect the accuracy of the data. In addition, this study only included athletes from the Surabaya area, so the results may not represent the characteristics of athletes from other regions. For this reason, future research should use a larger and geographically diverse sample and consider additional variables such as biomechanical factors, injury history, and differences in athlete ability levels.</p>
      </sec>
    </sec>
    <sec id="sec-11">
      <title>Conclusions</title>
      <p>This study confirms that most Surabaya City female handball athletes have not achieved ideal hamstring muscle eccentric strength based on the Nordic Hamstring formula (N = 4 x body mass (Kg) + 26), with an average overall strength of only 88.1%. The average strength of the left and right limbs was 88.7% and 87.6%, respectively, indicating the need for increased strength on both sides—the asymmetry assessment of female handball athletes in Surabaya City with an overall average of 1.4%. Ten female handball athletes in Surabaya City have an asymmetry value below 10%; these results make it perfect for athletes towards peak performance. A small number of athletes with asymmetries above 10% signal the need for unilateral specialized training interventions to address these imbalances. These findings provide important input for coaches and athletes to focus on training programs that target improvements in hamstring muscle strength and balance to optimize performance and prevent injury risk.</p>
      <p>Future research is recommended to develop variables that have not been explored, such as biomechanical factors or injury history. Expansion of subjects and data collection to make the sample more representative is also important. In addition, future research should consider gender differences by including male athletes and comparing athletes with different skill levels (e.g., elite athletes) for a more comprehensive understanding.</p>
    </sec>
    <sec id="sec-12">
      <title>Acknowledgments</title>
      <p>The researcher would like to thank all the participants who helped complete this research project.</p>
    </sec>
    <sec id="sec-13">
      <title>Data availability</title>
      <p>All data supporting the findings in this study are available and accessible upon reasonable request to the corresponding authors. Data were collected and analyzed by ethical research standards and stored securely by the research team to ensure the confidentiality and integrity of the information.</p>
    </sec>
    <sec id="sec-14">
      <title>Funding</title>
      <p>This research does not receive external funding.</p>
    </sec>
    <sec id="sec-15">
      <title>Conflict of interest</title>
      <p>The author hereby declares that this research is free from conflicts of interest with any party.</p>
    </sec>
    <!-- PESSR Stage 13B result | chart-rels=none | svg-built=0 -->
  </body>
  <back>
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