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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-042X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1757726</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2026.1757726</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of soft-surface mobility exercises on functional movement screen (FMS) scores among football referees</article-title>
<alt-title alt-title-type="left-running-head">Ka&#xe7;ay et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphys.2026.1757726">10.3389/fphys.2026.1757726</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ka&#xe7;ay</surname>
<given-names>Z&#xfc;lbiye</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3164761"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Baydemir</surname>
<given-names>Bar&#x131;&#x15f;</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Talaghir</surname>
<given-names>Laurentiu-Gabriel</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author">
<name>
<surname>Manolache</surname>
<given-names>Gabriel Marian</given-names>
</name>
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<sup>2</sup>
</xref>
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<aff id="aff1">
<label>1</label>
<institution>Faculty of Sport Sciences, &#xc7;anakkale Onsekiz Mart University</institution>, <city>&#xc7;anakkale</city>, <country country="TR">T&#xfc;rkiye</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Faculty of Physical Education and Sport, Dunarea de Jos University of Galati</institution>, <city>Galati</city>, <country country="RO">Romania</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Bar&#x131;&#x15f; Baydemir, <email xlink:href="mailto:barisbaydemir@hotmail.com">barisbaydemir@hotmail.com</email>; Laurentiu-Gabriel Talaghir, <email xlink:href="mailto:gtalaghir@ugal.ro">gtalaghir@ugal.ro</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1757726</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>17</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Ka&#xe7;ay, Baydemir, Talaghir and Manolache.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Ka&#xe7;ay, Baydemir, Talaghir and Manolache</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Football referees perform repeated sprints, rapid changes of direction, and frequent deceleration&#x2013;acceleration actions that place high demands on balance, mobility, and neuromuscular control. Limitations in functional movement patterns may negatively influence movement efficiency and increase mechanical stress during match officiating. This study aimed to examine the effects of a 12-week unstable/compliant surface&#x2013;based mobility exercise program on functional movement quality, as assessed by the Functional Movement Screen (FMS), in young male amateur football referees.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 60 male amateur referees (experimental &#x3d; 30; control &#x3d; 30; age &#x3d; 22.6 &#xb1; 1.3 years) participated in the study. Both groups continued their routine training, while the experimental group additionally performed mobility exercises on unstable and compliant surfaces (primarily BOSU-based drills) twice weekly for 12 weeks (45 &#xb1; 5 min/session). FMS tests were administered before and after the intervention. Data were analyzed using a 2 (group: experimental vs. control) &#xd7; 2 (time: pre-test vs. post-test) mixed-effects ANOVA, with verification of normality through Shapiro&#x2013;Wilk testing and visual inspection of residual distributions, and the group &#xd7; time interaction was considered the primary indicator of intervention effectiveness.</p>
</sec>
<sec>
<title>Results</title>
<p>The mixed ANOVA revealed significant group &#xd7; time interaction effects for Total FMS score (p &#x3c; 0.001) as well as for Deep Squat (p &#x3d; 0.004), Hurdle Step (p &#x3c; 0.001, partial &#x3b7;<sup>2</sup> &#x3d; 0.33), Active Straight Leg Raise (p &#x3d; 0.043), Trunk Stability Push-up (p &#x3d; 0.001), and Rotary Stability (p &#x3c; 0.001). The control group showed minimal changes across all outcomes.</p>
</sec>
<sec>
<title>Discussion</title>
<p>These findings indicate that unstable/compliant surface&#x2013;based mobility training can improve movement quality indicators measured by the FMS. Incorporating such exercises into referee conditioning programs may contribute to more efficient movement patterns and enhanced dynamic stability, with potential implications for physical preparedness during match officiating.</p>
</sec>
</abstract>
<kwd-group>
<kwd>football referees</kwd>
<kwd>functional movement screen</kwd>
<kwd>mobility</kwd>
<kwd>movement quality</kwd>
<kwd>neuromuscular control</kwd>
<kwd>soft-surface training</kwd>
<kwd>unstable surface training</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="1"/>
<ref-count count="26"/>
<page-count count="00"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Exercise Physiology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Football is inherently a demanding sport. The fact that it is played on large fields, on different surfaces, and under various weather conditions requires individuals involved in the game to demonstrate high-level physical performance (<xref ref-type="bibr" rid="B17">Liu et al., 2025</xref>). One essential component of football is the referee, who plays a crucial role in managing the match and ensuring fair play. Football referees are required to sustain a high level of physical exertion comparable to that of players, regardless of environmental conditions (<xref ref-type="bibr" rid="B17">Liu et al., 2025</xref>; <xref ref-type="bibr" rid="B4">Baydemir et al., 2021</xref>). Unlike players, whose movements are influenced by ball location and playing position, referees must move across almost the entire field to maintain an optimal viewing angle and minimize decision-making errors.</p>
<p>During a 90-min match, referees typically cover approximately 10&#x2013;12 km and perform repeated high-intensity actions such as accelerations, decelerations, directional changes, and backward running (<xref ref-type="bibr" rid="B7">Castagna et al., 2007</xref>; <xref ref-type="bibr" rid="B24">Weston et al., 2007</xref>). These continuous demands impose substantial mechanical load on the musculoskeletal system, and limitations in mobility, stability, or movement control may increase the likelihood of injury (<xref ref-type="bibr" rid="B18">Mallo et al., 2009</xref>). Therefore, improving movement quality and functional efficiency is highly relevant for referee performance and physical preparedness during match officiating. Movement quality reflects the efficiency and coordination with which fundamental movement patterns are executed and is closely linked to key motor abilities such as speed, agility, balance, and power. Previous research in team-sport athletes has demonstrated meaningful associations between functional movement quality and physical performance characteristics, indicating that higher-quality movement patterns may support more effective and economical execution of sport-specific tasks. These relationships have been demonstrated in various athletic populations, where FMS performance has been associated with speed, agility, jump performance, and selected anthropometric characteristics (<xref ref-type="bibr" rid="B16">Ko&#x17a;lenia et al., 2020</xref>; <xref ref-type="bibr" rid="B1">Alexe et al., 2024</xref>; <xref ref-type="bibr" rid="B20">Nicolozakes et al., 2018</xref>). Furthermore, functional movement quality has been linked to broader physical and health-related markers, suggesting that FMS performance may reflect multidimensional aspects of physical preparedness (<xref ref-type="bibr" rid="B11">Farrell et al., 2021</xref>; <xref ref-type="bibr" rid="B10">Cornell et al., 2017</xref>). In this context, assessing movement quality provides insight not only into potential injury risk factors but also into the functional foundation underpinning athletic performance.</p>
<p>Functional movement assessments are used to identify deficiencies and asymmetries in fundamental movement mechanics and to evaluate overall movement quality (<xref ref-type="bibr" rid="B9">Cook et al., 2014</xref>). In this context, the Functional Movement Screen (FMS) is a widely used tool for examining movement quality, highlighting limitations in mobility and stability, and identifying potential deficits in motor control (<xref ref-type="bibr" rid="B9">Cook et al., 2014</xref>). Previous research has shown that lower FMS scores may be associated with an increased risk of injury in athletic populations (<xref ref-type="bibr" rid="B15">Kiesel et al., 2007</xref>; <xref ref-type="bibr" rid="B6">Bonazza et al., 2017</xref>). Although this relationship has been examined primarily in players, evidence focusing on functional movement quality and FMS performance in football referees remains limited. Considering the high physical demands placed on referees during matches, assessing their movement quality and implementing targeted training programs may be particularly important (<xref ref-type="bibr" rid="B21">O&#x27;Connor et al., 2011</xref>).</p>
<p>Mobility and stability constitute the core components of functional movement ability. Mobility refers to muscle flexibility and joint range of motion, whereas stability involves postural control and balance. Adequate mobility may enhance movement efficiency during dynamic actions such as rapid direction changes, accelerations, and abrupt stops, while insufficient mobility or stability may increase the risk of injury (<xref ref-type="bibr" rid="B14">Hrysomallis, 2013</xref>). These components are fundamental targets of functional training interventions aimed at improving movement quality and neuromuscular control. Traditional mobility exercises are commonly performed on stable or rigid surfaces. However, training on soft or compliant surfaces may provide additional proprioceptive challenges and contribute to improvements in postural stability and neuromuscular control (<xref ref-type="bibr" rid="B22">Paillard, 2012</xref>). Such training environments may stimulate sensorimotor adaptations that support movement coordination and functional performance, potentially leading to improvements in functional movement patterns and FMS outcomes (<xref ref-type="bibr" rid="B25">Winter et al., 2022</xref>). Given the documented associations between functional movement quality and motor performance parameters in team-sport athletes, interventions targeting mobility and stability under increased neuromuscular demand may have practical relevance beyond isolated movement screening scores (<xref ref-type="bibr" rid="B16">Ko&#x17a;lenia et al., 2020</xref>; <xref ref-type="bibr" rid="B1">Alexe et al., 2024</xref>).</p>
<p>Despite these potential benefits, the effects of structured mobility exercises performed on soft surfaces on FMS scores have not been sufficiently investigated, particularly in football referees. Moreover, it remains unclear to what extent mobility training performed under unstable or compliant conditions can enhance movement quality as reflected by standardized functional assessments rather than isolated performance metrics. Given the high match demands experienced by referees, examining the impact of soft-surface mobility training on movement quality may provide a scientific basis for designing more effective conditioning strategies that support functional efficiency and neuromuscular preparedness. Based on the theoretical framework linking mobility, stability, and neuromuscular control to functional movement quality, it was hypothesized that:<list list-type="order">
<list-item>
<p>A 12-week unstable/compliant surface&#x2013;based mobility exercise program would result in significantly greater improvements in total FMS score in the experimental group compared with the control group; and</p>
</list-item>
<list-item>
<p>Significant group &#xd7; time interaction effects would be observed for key FMS components associated with lower-extremity mobility, balance, and core stability (e.g., Deep Squat, Hurdle Step, Trunk Stability Push-up, and Rotary Stability).</p>
</list-item>
</list>
</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Research group</title>
<p>The study included a total of 60 male football referees (30 experimental, 30 control) officiating in amateur leagues. The research was conducted in accordance with the principles of the Declaration of Helsinki. Ethical approval was obtained from the Non-Interventional Clinical Research Ethics Committee of &#xc7;anakkale Onsekiz Mart University (Approval No: 2025-49), and all participants provided written informed consent prior to participation. Participants were eligible for inclusion if they were actively officiating as football referees in amateur leagues, had at least 1 year of refereeing experience, and were free from musculoskeletal injury at the time of data collection. Referees were excluded if they reported any acute injury, neurological disorder, or medical condition that could affect movement performance or participation in physical training. Participants were allocated to the experimental and control groups using a non-randomized, convenience-based allocation procedure determined by training availability and scheduling constraints. Randomization was not feasible due to league-based training logistics; however, baseline characteristics were comparable between groups (<xref ref-type="table" rid="T1">Table 1</xref>). The control group continued their routine training and did not participate in the soft-surface mobility program. A total of 60 referees were initially recruited, and all participants completed the study protocol. No dropouts or missing data were recorded during the 12-week intervention period.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Descriptive characteristics of the football referees at baseline (Mean &#xb1; SD).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Control (n &#x3d; 30) mean &#xb1; SD</th>
<th align="left">Experimental (n &#x3d; 30) mean &#xb1; SD</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (years)</td>
<td align="left">22.60 &#xb1; 1.35</td>
<td align="left">22.50 &#xb1; 1.31</td>
</tr>
<tr>
<td align="left">Height (cm)</td>
<td align="left">181.17 &#xb1; 4.68</td>
<td align="left">181.47 &#xb1; 4.20</td>
</tr>
<tr>
<td align="left">Body weight (kg)</td>
<td align="left">77.37 &#xb1; 4.53</td>
<td align="left">74.40 &#xb1; 6.21</td>
</tr>
<tr>
<td align="left">BMI (kg/m<sup>2</sup>)</td>
<td align="left">23.51 &#xb1; 1.38</td>
<td align="left">22.42 &#xb1; 1.90</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as mean &#xb1; standard deviation (SD). BMI, body mass index (kg/m<sup>2</sup>). Control group: n &#x3d; 30; Experimental group: n &#x3d; 30.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-2">
<title>Implementation of soft-surface mobility exercises</title>
<p>During the 12-week intervention period, the football referees in the experimental group performed soft-surface mobility exercises twice per week for approximately 45 &#xb1; 5 min per session. The program aimed to improve joint range of motion, muscular flexibility, proprioception, balance, and dynamic stability through exercises performed on unstable and compliant surfaces.</p>
<p>The training program consisted of two weekly sessions (Session A and Session B), including a standardized warm-up (5&#x2013;10 min), a main exercise section (&#x223c;30 min), and a cool-down phase (5&#x2013;10 min). The exercises included progressive mobility and stability drills using BOSU-based movements (e.g., BOSU squat, BOSU lunge, BOSU glute bridge, BOSU plank, BOSU bird-dog), with gradual progression in training volume and duration throughout the 12 weeks. The full intervention protocol is provided in <xref ref-type="sec" rid="s15">Supplementary Table S1</xref>.</p>
<p>In brief, during the first 3 weeks, the sessions focused on fundamental mobility drills, joint range-of-motion development, and core activation. From weeks four to six, balance, stabilization, and proprioception-oriented exercises were introduced. Between the seventh and ninth weeks, the program emphasized mobility exercises targeting the hip, knee, and ankle joints. In the final stage (weeks 10&#x2013;12), dynamic movements combining mobility and agility were incorporated (<xref ref-type="bibr" rid="B19">Nepocatych et al., 2018</xref>; <xref ref-type="bibr" rid="B26">Zech et al., 2010</xref>).</p>
<p>Exercise sessions were supervised by the research team, and attendance was recorded for each session using a standardized participation log. All participants completed the 12-week protocol, resulting in 100% adherence and no attrition. Intervention fidelity was ensured through direct supervision during all sessions. Correct exercise execution was monitored visually by the supervising researchers, and verbal feedback was provided when necessary to maintain proper technique. Session attendance was recorded using signed participation logs, and all referees attended all scheduled training sessions, resulting in full adherence to the intervention protocol.</p>
<p>The term &#x201c;soft-surface&#x201d; was used as a general category referring to compliant and unstable training conditions (e.g., BOSU devices, grass, sand, tatami). Surface-specific effects were not analyzed separately, as the aim of the intervention was to induce generalized proprioceptive and neuromuscular challenges rather than isolate individual surface characteristics.</p>
</sec>
<sec id="s2-3">
<title>Data collection procedures</title>
<sec id="s2-3-1">
<title>Anthropometric measurements</title>
<p>The height and body weight of the referees were measured, and Body Mass Index (BMI) was calculated. A Dikomsan BW-200 digital scale and stadiometer were used for all anthropometric assessments. Measurements were taken in the morning under standardized conditions. BMI was computed using the following formula:<disp-formula id="equ1">
<mml:math id="m1">
<mml:mrow>
<mml:mtext>BMI</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mtext>body&#x2009;mass&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="&#x7c;">
<mml:mrow>
<mml:mtext>kg</mml:mtext>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>/</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:msup>
<mml:mtext>height</mml:mtext>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="&#x7c;">
<mml:mrow>
<mml:msup>
<mml:mi mathvariant="normal">m</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>(<xref ref-type="bibr" rid="B5">Benazeera, 2014</xref>).</p>
</sec>
<sec id="s2-3-2">
<title>Functional movement screening (FMS)</title>
<p>The Functional Movement Screen (FMS) was used to assess functional movement quality. The FMS consists of seven movement patterns, each scored on a scale from 0 to 3, and the total FMS score ranges from 0 to 21, representing the sum of all individual scores (<xref ref-type="bibr" rid="B8">Cook et al., 2006</xref>). Each movement was scored based on established normative criteria (<xref ref-type="bibr" rid="B2">Bardenett et al., 2015</xref>; <xref ref-type="bibr" rid="B3">Baydemir and Dilican, 2025</xref>).</p>
<p>FMS scoring was performed by two trained raters (academics working in the field of Sport Sciences) who had received formal training in FMS assessment and scoring procedures. All tests were conducted using direct observation. Each rater scored the participants independently and blinded to the other rater&#x2019;s scores, and the mean of the two raters&#x2019; scores was used for statistical analysis. The same two raters performed both the pre-test and post-test assessments to ensure scoring consistency across time.</p>
<p>Although both raters were formally trained and adhered to standardized FMS scoring guidelines, formal inter-rater reliability statistics (e.g., intraclass correlation coefficients) were not calculated. Individual rater-level scores were not retained following computation of the mean score used for statistical analyses; therefore, inter-rater ICC values could not be calculated retrospectively. This approach was chosen to maintain scoring consistency across testing sessions by using identical raters at both time points; however, the absence of empirical reliability indices is acknowledged as a methodological limitation.</p>
</sec>
</sec>
<sec id="s2-4">
<title>Statistical analysis</title>
<p>
<italic>A priori</italic> power analysis was conducted using G&#x2a;Power (&#x3b1; &#x3d; 0.05, power &#x3d; 0.80, medium effect size f &#x3d; 0.25) for a mixed ANOVA design (group &#xd7; time), indicating that a minimum sample size of 54 participants was required. Prior to the main analyses, missing-value and outlier diagnostics were performed; no missing or extreme values were detected, and descriptive statistics were subsequently computed. Normality of the outcome variables was assessed using the Shapiro&#x2013;Wilk test and visual inspection methods (e.g., histograms and Q&#x2013;Q plots) (<xref ref-type="bibr" rid="B13">Gonz&#xe1;lez-Estrada and Cosmes, 2019</xref>). Model residuals were visually inspected to confirm approximate normality. Although individual FMS component scores are ordinal in nature (0&#x2013;3), they were treated as quasi-continuous variables for statistical analysis, consistent with previous FMS-based research employing parametric methods in similar designs (<xref ref-type="bibr" rid="B15">Kiesel et al., 2007</xref>; <xref ref-type="bibr" rid="B12">Frost et al., 2015</xref>; <xref ref-type="bibr" rid="B6">Bonazza et al., 2017</xref>; <xref ref-type="bibr" rid="B23">Uysal and Baydemir, 2026</xref>). The main analysis was conducted using a 2 (group: experimental vs. control) &#xd7; 2 (time: pre-test vs. post-test) mixed ANOVA for each FMS outcome, with the group &#xd7; time interaction considered the primary indicator of the intervention effect. Effect sizes were reported using partial eta squared (partial &#x3b7;<sup>2</sup>). Statistical significance was set at p &#x3c; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Participant characteristics at baseline are presented in <xref ref-type="table" rid="T1">Table 1</xref>. The experimental and control groups showed comparable demographic and anthropometric profiles. Pre- and post-intervention FMS component scores and total FMS scores are summarized in <xref ref-type="table" rid="T2">Table 2</xref>. The control group demonstrated minimal changes from pre-test to post-test across all FMS outcomes, whereas the experimental group showed noticeable improvements in several FMS components and in total FMS score. The 2 (group: experimental vs. control) &#xd7; 2 (time: pre-test vs. post-test) mixed ANOVA revealed statistically significant group &#xd7; time interaction effects for Total FMS score (p &#x3c; 0.001) as well as for Deep Squat (p &#x3d; 0.004, partial &#x3b7;<sup>2</sup> &#x3d; 0.14), Hurdle Step (p &#x3c; 0.001, partial &#x3b7;<sup>2</sup> &#x3d; 0.49), Active Straight Leg Raise (p &#x3d; 0.043, partial &#x3b7;<sup>2</sup> &#x3d; 0.07), Trunk Stability Push-up (p &#x3d; 0.001, partial &#x3b7;<sup>2</sup> &#x3d; 0.17), and Rotary Stability (p &#x3c; 0.001, partial &#x3b7;<sup>2</sup> &#x3d; 0.42) (<xref ref-type="table" rid="T3">Table 3</xref>). These interaction effects indicate that the experimental group demonstrated significantly greater improvements over time compared with the control group, with effect sizes ranging from moderate to large depending on the FMS component. The group &#xd7; time interaction for total FMS score is illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>. In contrast, the group &#xd7; time interaction effect was not statistically significant for In-line Lunge (p &#x3d; 0.206, partial &#x3b7;<sup>2</sup> &#x3d; 0.03) and Shoulder Mobility (p &#x3d; 0.689, partial &#x3b7;<sup>2</sup> &#x3c; 0.01) (<xref ref-type="table" rid="T3">Table 3</xref>), indicating comparable pre-to post-test changes between groups for these movement patterns.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Pre&#x2013;post intervention FMS component and total scores in the experimental and control groups (Mean &#xb1; SD).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Outcome</th>
<th align="left">Control (Pre) (n &#x3d; 30)</th>
<th align="left">Control (Post) (n &#x3d; 30)</th>
<th align="left">Experimental (Pre) (n &#x3d; 30)</th>
<th align="left">Experimental (Post) (n &#x3d; 30)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Deep squat (score)</td>
<td align="left">2.10 &#xb1; 0.84</td>
<td align="left">2.03 &#xb1; 0.85</td>
<td align="left">2.07 &#xb1; 0.78</td>
<td align="left">2.53 &#xb1; 0.51</td>
</tr>
<tr>
<td align="left">Hurdle step (score)</td>
<td align="left">1.33 &#xb1; 0.61</td>
<td align="left">1.33 &#xb1; 0.61</td>
<td align="left">1.37 &#xb1; 0.61</td>
<td align="left">2.30 &#xb1; 0.47</td>
</tr>
<tr>
<td align="left">In-line lunge (score)</td>
<td align="left">1.97 &#xb1; 0.49</td>
<td align="left">1.97 &#xb1; 0.49</td>
<td align="left">2.00 &#xb1; 0.45</td>
<td align="left">2.13 &#xb1; 0.35</td>
</tr>
<tr>
<td align="left">Shoulder mobility (score)</td>
<td align="left">2.40 &#xb1; 0.72</td>
<td align="left">2.37 &#xb1; 0.72</td>
<td align="left">2.47 &#xb1; 0.68</td>
<td align="left">2.50 &#xb1; 0.51</td>
</tr>
<tr>
<td align="left">Active straight leg raise (score)</td>
<td align="left">1.80 &#xb1; 0.55</td>
<td align="left">1.80 &#xb1; 0.55</td>
<td align="left">1.83 &#xb1; 0.53</td>
<td align="left">2.13 &#xb1; 0.35</td>
</tr>
<tr>
<td align="left">Trunk stability push-up (score)</td>
<td align="left">1.73 &#xb1; 0.94</td>
<td align="left">1.80 &#xb1; 0.96</td>
<td align="left">1.80 &#xb1; 0.96</td>
<td align="left">2.53 &#xb1; 0.51</td>
</tr>
<tr>
<td align="left">Rotary stability (score)</td>
<td align="left">1.27 &#xb1; 0.64</td>
<td align="left">1.30 &#xb1; 0.65</td>
<td align="left">1.23 &#xb1; 0.63</td>
<td align="left">2.17 &#xb1; 0.38</td>
</tr>
<tr>
<td align="left">Total FMS (score)</td>
<td align="left">14.60 &#xb1; 2.71</td>
<td align="left">14.67 &#xb1; 2.72</td>
<td align="left">14.73 &#xb1; 2.30</td>
<td align="left">17.80 &#xb1; 1.47</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as mean &#xb1; standard deviation (SD). FMS, Functional Movement Screen. All outcomes are expressed as FMS, scores (0&#x2013;3 for each movement pattern). Control group: n &#x3d; 30; Experimental group: n &#x3d; 30. Higher scores indicate better movement quality.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Group &#xd7; time interaction effects (intervention effect) for FMS outcomes (Mixed design: Experimental vs. Control &#xd7; Pre vs. Post).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Outcome</th>
<th align="left">F(1,58)</th>
<th align="left">p-value</th>
<th align="left">Partial &#x3b7;<sup>2</sup>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Deep squat (score)</td>
<td align="left">9.05</td>
<td align="left">0.004</td>
<td align="left">0.14</td>
</tr>
<tr>
<td align="left">Hurdle step (score)</td>
<td align="left">54.65</td>
<td align="left">&#x3c;0.001</td>
<td align="left">0.49</td>
</tr>
<tr>
<td align="left">In-line lunge (score)</td>
<td align="left">1.63</td>
<td align="left">0.206</td>
<td align="left">0.03</td>
</tr>
<tr>
<td align="left">Shoulder mobility (score)</td>
<td align="left">0.16</td>
<td align="left">0.689</td>
<td align="left">0.00</td>
</tr>
<tr>
<td align="left">Active straight leg raise (score)</td>
<td align="left">4.28</td>
<td align="left">0.043</td>
<td align="left">0.07</td>
</tr>
<tr>
<td align="left">Trunk stability push-up (score)</td>
<td align="left">11.46</td>
<td align="left">0.001</td>
<td align="left">0.17</td>
</tr>
<tr>
<td align="left">Rotary stability (score)</td>
<td align="left">41.86</td>
<td align="left">&#x3c;0.001</td>
<td align="left">0.42</td>
</tr>
<tr>
<td align="left">Total FMS (score)</td>
<td align="left">28.60</td>
<td align="left">&#x3c;0.001</td>
<td align="left">0.33</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Group &#x3d; experimental vs. control (between-subject factor). Time &#x3d; pre-test vs. post-test (within-subject factor). F &#x3d; F-statistics. Partial &#x3b7;<sup>2</sup> &#x3d; effect size. A significant group &#xd7; time interaction indicates that the experimental group improved more than the control group over time.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Group &#xd7; time interaction for total Functional Movement Screen (FMS) score in the experimental and control groups. Values are presented as means with 95% confidence intervals.</p>
</caption>
<graphic xlink:href="fphys-17-1757726-g001.tif">
<alt-text content-type="machine-generated">Line graph illustrating the group &#xd7; time interaction for total Functional Movement Screen (FMS) scores in the experimental and control groups. Scores are presented at pre-test and post-test with mean values and 95% confidence intervals. The experimental group increases from approximately 14.7 to 17.8 following the 12-week soft-surface mobility intervention, whereas the control group remains relatively stable (approximately 14.6 to 14.7). The figure demonstrates a significant improvement over time in the experimental group compared with the control group.</alt-text>
</graphic>
</fig>
<p>
<xref ref-type="fig" rid="F1">Figure 1</xref> illustrates the group &#xd7; time interaction for total FMS score, showing a marked increase in the experimental group from pre-to post-test, while the control group remained relatively stable.</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The present study investigated the effects of a 12-week unstable/compliant surface&#x2013;based mobility exercise program on Functional Movement Screen (FMS) performance in male football referees. The main finding of this study was that the experimental group demonstrated significantly greater improvements than the control group in total FMS score, suggesting that this type of mobility training is associated with improvements in movement quality indicators measured by the FMS.</p>
<p>In addition to improvements in total FMS score, the mixed ANOVA results indicated significant group &#xd7; time interaction effects for key movement components including Deep Squat, Hurdle Step, Active Straight Leg Raise, Trunk Stability Push-up, and Rotary Stability. These outcomes reflect improvements in lower-extremity mobility, dynamic balance, core stability, and rotational control, which are essential physical qualities for football referees due to the frequent accelerations, decelerations, directional changes, and multi-planar movements required during match officiating. Referees perform under repeated high-intensity demands, and efficient movement patterns may support more economical movement execution during match activities.</p>
<p>From a physiological and neuromuscular perspective, the observed improvements may be explained by the specific demands imposed by training on unstable and compliant surfaces. Exercises performed under unstable conditions increase postural challenge and modify afferent sensory input from mechanoreceptors located in muscles, tendons, and joint structures. This enhanced sensory feedback promotes greater sensorimotor integration within the central nervous system, facilitating improved coordination between agonist, antagonist, and stabilizing muscle groups (<xref ref-type="bibr" rid="B22">Paillard, 2012</xref>; <xref ref-type="bibr" rid="B26">Zech et al., 2010</xref>; <xref ref-type="bibr" rid="B25">Winter et al., 2022</xref>).</p>
<p>Furthermore, soft-surface training has been shown to increase activation of deep stabilizing musculature and to enhance trunk control through both feedforward and feedback motor control mechanisms. Improved feedforward activation may allow referees to better anticipate perturbations during rapid changes of direction, whereas enhanced feedback control contributes to effective postural corrections during unexpected balance challenges. These neuromuscular adaptations may explain the substantial improvements observed in trunk stability and rotary stability FMS components, which are particularly sensitive to deficits in core control and intermuscular coordination.</p>
<p>Improvements in lower-extremity mobility-related components such as the Deep Squat and Active Straight Leg Raise may also be attributed to enhanced joint range of motion and reduced neuromuscular inhibition following repeated exposure to controlled instability. Training on compliant surfaces may promote more efficient regulation of joint stiffness and improved intermuscular coordination, allowing referees to execute complex movement patterns with greater symmetry and control.</p>
<p>The findings of this study are in line with previous literature suggesting that balance- and mobility-oriented training programs can positively influence functional movement performance (<xref ref-type="bibr" rid="B26">Zech et al., 2010</xref>; <xref ref-type="bibr" rid="B22">Paillard, 2012</xref>; <xref ref-type="bibr" rid="B25">Winter et al., 2022</xref>). The FMS has been widely used to assess movement quality and identify potential limitations in fundamental movement patterns. Given that football referees operate in environments requiring high levels of multi-joint coordination, improving movement quality through targeted mobility and stability training may provide practical benefits for performance preparation. Therefore, incorporating soft-surface mobility exercises into referee conditioning routines may be considered a feasible and sport-specific approach to support functional movement capacity in this population.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In conclusion, a 12-week unstable/compliant surface&#x2013;based mobility exercise program performed twice weekly significantly improved total FMS score and several key movement components compared with the control condition.</p>
<p>These findings suggest that this form of mobility training is associated with improvements in functional movement quality, dynamic balance, and neuromuscular control in football referees.</p>
<p>Incorporating such training into referee conditioning programs may support movement efficiency and physical preparedness for match demands; however, direct effects on performance or injury outcomes were not assessed in the present study.</p>
</sec>
<sec id="s6">
<title>Limitations</title>
<p>This study has several limitations. First, the sample consisted of male amateur football referees, which may limit the generalizability of the findings to female referees or elite-level officials. Second, although FMS scoring was conducted independently by two trained raters and the mean score was used for analysis, formal inter-rater reliability statistics (e.g., intraclass correlation coefficients) were not calculated. While rater training and standardized scoring procedures help reduce measurement error, the absence of empirical reliability estimates limits confidence in the objectivity and reproducibility of the FMS scores. Furthermore, because individual rater-level data were not archived, inter-rater agreement statistics could not be computed <italic>post hoc</italic>, and future studies should retain individual scoring sheets to allow formal ICC calculation. Third, FMS component scores are ordinal measures; although they were treated as quasi-continuous variables in accordance with common practice in the FMS literature, future studies may benefit from complementary biomechanical or kinematic assessments to strengthen interpretation of movement-quality changes. Finally, the absence of long-term follow-up precludes conclusions regarding the retention of observed improvements over time.</p>
</sec>
<sec id="s7">
<title>Practical implications and future directions</title>
<p>These findings suggest that incorporating soft-surface mobility exercises into referee conditioning programs may enhance movement quality and functional stability, with potential implications for movement efficiency during match officiating. Future studies should examine long-term retention of these adaptations, include female and professional referees, and compare different training surfaces and intensity progressions to optimize functional movement outcomes. Additionally, future research incorporating direct performance metrics and injury surveillance would help clarify the practical significance of improvements in functional movement quality.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s8">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s9">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Non-Interventional Clinical Research Ethics Committee of &#xc7;anakkale Onsekiz Mart University (Approval No: 2025-49). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s10">
<title>Author contributions</title>
<p>ZK: Writing &#x2013; review and editing, Formal Analysis, Data curation, Conceptualization, Methodology, Writing &#x2013; original draft, Investigation. BB: Formal Analysis, Writing &#x2013; original draft, Project administration, Data curation, Conceptualization, Investigation, Writing &#x2013; review and editing. L-GT: Writing &#x2013; original draft, Validation, Methodology, Writing &#x2013; review and editing. GM: Formal Analysis, Writing &#x2013; original draft, Data curation, Writing &#x2013; review and editing, Investigation.</p>
</sec>
<sec sec-type="COI-statement" id="s12">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s13">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s14">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s15">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphys.2026.1757726/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphys.2026.1757726/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1605369/overview">Mustafa Gul</ext-link>, Atat&#xfc;rk University, T&#xfc;rkiye</p>
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<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1414176/overview">Jaros&#x142;aw Domaradzki</ext-link>, Wroclaw University of Health and Sport Sciences, Poland</p>
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