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<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1638739</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2025.1638739</article-id>
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<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The effect of respiratory muscle training on swimming performance: a systematic review and meta-analysis</article-title>
<alt-title alt-title-type="left-running-head">Liu 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.2025.1638739">10.3389/fphys.2025.1638739</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Shunfang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3085816/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Gou</surname>
<given-names>Pengpeng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lin</surname>
<given-names>Menglong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>Faculty of Sport and Leisure, <institution>Guangdong Ocean University</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>Program in Global Exercise Science, Arts &#x26; Sports College, <institution>Inha University</institution>, <addr-line>Incheon</addr-line>, <country>Republic of Korea</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1324892/overview">Szczepan Wiecha</ext-link>, National Medical Institute of the Ministry of Interior and Administration, Poland</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2383841/overview">Tomasz Kowalski</ext-link>, National Research Institute, Poland</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3092065/overview">Yunshan Zhang</ext-link>, Guangxi Medical University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Menglong Lin, <email>lml518@gdou.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1638739</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Liu, Gou and Lin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Gou and Lin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) 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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Respiratory muscle training, which targets the inspiratory and/or expiratory muscles to enhance respiratory efficiency, is recognized as a method for improving athletic performance; however, its effectiveness in enhancing swimming performance remains controversial. This study aimed to evaluate the effects of respiratory muscle training on swimming performance.</p>
</sec>
<sec>
<title>Methods</title>
<p>Methodology followed the PRISMA guidelines. A comprehensive literature search was conducted in eight databases (Web of Science, PubMed (comprising MEDLINE and PubMed Central), SPORTDiscus, ScienceDirect, Scopus, Cochrane Library, Embase, and ProQuest) and supplemented with manual searches of other sources (e.g., Google Scholar) up to 22 May 2025. Studies were eligible for inclusion if they met the following criteria: (a) participants were healthy individuals without diagnosed disease or disability; (b) the intervention involved respiratory muscle training compared to a sham or control condition in a randomized controlled trial or controlled clinical trial; (c) swimming performance was reported as an outcome with sufficient data to compute effect sizes; and (d) the full text was available.</p>
</sec>
<sec>
<title>Results</title>
<p>Results of this systematic review revealed that of the 1,044 articles retrieved from the search strategy, 10 met the inclusion criteria. Meta-analysis indicated that respiratory muscle training significantly improved swimming performance, with low heterogeneity and no evidence of publication bias. Among the included studies, respiratory muscle training protocols were typically conducted at 50%&#x2013;80% of maximal inspiratory pressure for 6&#x2013;8 weeks, with a frequency of 3&#x2013;14 sessions per week. However, substantial variability in training frequency, progression, and duration limited direct comparisons between interventions. Due to inconsistent and limited reporting, subgroup analysis based on gender, stroke style, or competitive level could not be performed.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Respiratory muscle training appears to be an effective adjunct to swimming training, contributing to improved performance. Future studies should prioritise protocol standardisation, elucidate the dose-effect relationship, and explore moderating factors such as gender, stroke type, and training status. Registered on PROSPERO (registration number: CRD420251051091).</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>Identifier CRD420251051091.</p>
</sec>
</abstract>
<kwd-group>
<kwd>respiratory muscle training</kwd>
<kwd>inspiratory muscle training</kwd>
<kwd>swimming performance</kwd>
<kwd>athletic adaptation</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Exercise Physiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Swimming performance relies on the coordinated function of multiple physiological systems, with respiratory efficiency being a crucial yet often overlooked limiting factor. Swimmers face several unique physiological challenges in the aquatic environment. First, hydrostatic pressure causes elastic loading of the thoracic cavity, increasing the work and energetic cost of breathing, thereby elevating the burden on the inspiratory muscles (<xref ref-type="bibr" rid="B32">Pendergast et al., 2015</xref>). Second, the biomechanics of the stroke constrain the rhythm and timing of breathing, forcing it to adapt to the stroke cycle (<xref ref-type="bibr" rid="B35">Seifert et al., 2010</xref>). Additionally, during submersion, the diaphragm and respiratory muscles generate less force in the supine position than in the upright posture (<xref ref-type="bibr" rid="B24">Lomax and McConnell, 2003</xref>). These factors increase the likelihood of respiratory muscle fatigue, which can trigger the respiratory metaboreflex&#x2014;leading to vasoconstriction in inactive limbs (<xref ref-type="bibr" rid="B38">St Croix et al., 2000</xref>), a 23%&#x2013;30% reduction in limb blood flow, and increased vascular resistance (<xref ref-type="bibr" rid="B36">Sheel et al., 2001</xref>). In swimmers, these physiological constraints can impair stroke efficiency, elevate energy expenditure, and reduce overall training capacity. For instance, inspiratory muscle fatigue may lead swimmers to adopt suboptimal breathing patterns or shorten their stroke cycles to accommodate respiratory demands (<xref ref-type="bibr" rid="B35">Seifert et al., 2010</xref>; <xref ref-type="bibr" rid="B22">Lomax and Castle, 2011</xref>), both of which can negatively impact performance metrics such as sprint time and distance per stroke.</p>
<p>Respiratory muscle training (RMT), including inspiratory muscle training (IMT), expiratory muscle training (EMT), combined, or breath-holding protocols, aims to improve respiratory endurance and/or strength through resistance-based (e.g., pressure-threshold loading) or endurance-based strategies (e.g., voluntary isocapnic hyperpnea using devices like Spirotiger) (<xref ref-type="bibr" rid="B27">McConnell and Romer, 2004</xref>; <xref ref-type="bibr" rid="B25">McConnell, 2013</xref>). A typical RMT protocol involves training using pressure-threshold devices at 50%&#x2013;70% of maximal inspiratory pressure (MIP), performed twice daily, with 30 effective breaths per session, 6&#x2013;7 days per week, for at least 4&#x2013;6 weeks (<xref ref-type="bibr" rid="B25">McConnell, 2013</xref>). Over the past decades, the role of RMT in enhancing athletic performance has been extensively investigated. For instance, in land-based endurance sports such as cycling and running, multiple studies have shown that RMT significantly improves time trial performance and delays fatigue (<xref ref-type="bibr" rid="B13">Holm et al., 2004</xref>; <xref ref-type="bibr" rid="B33">Romer et al., 2002</xref>; <xref ref-type="bibr" rid="B2">Bailey et al., 2010</xref>; <xref ref-type="bibr" rid="B1">Archiza et al., 2018</xref>). In combat sports, Tosun et al. reported that RMT significantly improved respiratory muscle strength and aerobic endurance in young wrestlers (<xref ref-type="bibr" rid="B40">Tosun et al., 2025</xref>).</p>
<p>Swimming is no exception. Several studies have reported that RMT can significantly improve swimming performance (<xref ref-type="bibr" rid="B15">Jakubovskis et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Ohya et al., 2021</xref>). The proposed physiological mechanisms may include: enhanced inspiratory muscle strength, enabling swimmers to overcome hydrostatic pressure on the thoracic cavity, reduce the energy cost of breathing, and redirect metabolic resources toward propulsion (<xref ref-type="bibr" rid="B32">Pendergast et al., 2015</xref>; <xref ref-type="bibr" rid="B9">G&#xf3;mez-Albareda et al., 2023</xref>); improved respiratory muscle function, allowing for more efficient breathing within constrained stroke cycles, minimizing movement disruption, and optimizing stroke frequency and length (<xref ref-type="bibr" rid="B17">Kilding et al., 2010</xref>); targeted training that increases diaphragmatic force output efficiency in a supine aquatic position (<xref ref-type="bibr" rid="B24">Lomax and McConnell, 2003</xref>); and greater respiratory muscle fatigue resistance, which may attenuate sympathetically mediated respiratory metaboreflexes, preserve limb blood flow and vascular function, and delay peripheral fatigue during exercise (<xref ref-type="bibr" rid="B38">St Croix et al., 2000</xref>; <xref ref-type="bibr" rid="B36">Sheel et al., 2001</xref>; <xref ref-type="bibr" rid="B18">Kowalski et al., 2022</xref>). However, other studies have failed to observe significant improvements in swimming performance following RMT (<xref ref-type="bibr" rid="B7">Cunha et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Wells et al., 2005</xref>). These inconsistencies may be attributed to methodological limitations, including lack of randomisation, small sample sizes, and variations in RMT protocols, all of which limit cross-study comparability. For example, Cunha et al. implemented a 12-week program involving 30 inspiratory efforts twice daily, 5 days per week, at 50% of MIP in 32 elite swimmers (<xref ref-type="bibr" rid="B7">Cunha et al., 2019</xref>). In contrast, Jakubovskis et al. conducted a 4-week intervention consisting of modified respiratory exercises three times per week with 31 swimmers (<xref ref-type="bibr" rid="B15">Jakubovskis et al., 2024</xref>). Given these methodological differences, a meta-analytic synthesis is warranted to enhance the scientific rigor of RMT-based training recommendations for swimmers.</p>
<p>Previous reviews, including that by HajGhanbari et al., have focused on endurance sports such as football, cycling, and rowing, and confirmed RMT&#x2019;s positive effects on endurance capacity, pulmonary function, and muscle strength (<xref ref-type="bibr" rid="B10">HajGhanbari et al., 2013</xref>; <xref ref-type="bibr" rid="B42">Xavier et al., 2025</xref>; <xref ref-type="bibr" rid="B21">Le&#xf3;n-Morillas et al., 2021</xref>; <xref ref-type="bibr" rid="B14">Illi et al., 2012</xref>). However, to date, no meta-analysis has systematically evaluated the effects of RMT on swimming performance while assessing the quality and risk of bias of included studies. One study by Tello et al. showed improvements in MIP in both elite and non-elite swimmers but did not assess direct performance outcomes (<xref ref-type="bibr" rid="B5">Carvajal-Tello et al., 2024</xref>). Therefore, this meta-analysis included randomized controlled trials (RCTs) or controlled clinical trials (CCTs) to investigate the effects of RMT on swimming performance in healthy individuals. Based on the PICO framework, the review focused on: Population: Healthy individuals or competitive swimmers; Intervention: RMT, IMT and/or EMT; Comparison: No RMT or placebo intervention; Outcome: Swimming performance outcomes.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>2 Methods</title>
<p>This study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (<xref ref-type="bibr" rid="B31">Page et al., 2021</xref>).</p>
<sec id="s2-1">
<title>2.1 Eligibility criteria</title>
<p>Studies were included if they met all of the following criteria: (1) Participants were healthy and able-bodied individuals of any age, with no diagnosed diseases or physical disabilities; (2) the study design was a RCT or CCT; (3) the experimental group imposed additional respiratory muscle-related training, whereas the control group was identical to the experimental group except that they did not impose additional respiratory muscle-related training (or a placebo was imposed); (4) at least one swimming performance-related outcome was reported, and sufficient data were available to calculate effect sizes (ES); and (5) the full text was accessible.</p>
</sec>
<sec id="s2-2">
<title>2.2 Information sources</title>
<p>An independent researcher conducted a Boolean search across eight databases&#x2014;Web of Science, PubMed (comprising MEDLINE and PubMed Central), SPORTDiscus, ScienceDirect, Scopus, Cochrane Library, Embase, and ProQuest. It is important to note that the search strategy for this study was expanded beyond the scope initially registered in PROSPERO, in order to broaden the retrieval of relevant literature. The search was conducted without restrictions on language, publication type, or publication date, with the final search performed on 22 May 2025. In addition, supplementary sources such as Google Scholar and ResearchGate were consulted, and the reference lists of relevant articles were manually screened to identify additional eligible studies.</p>
</sec>
<sec id="s2-3">
<title>2.3 Search strategy</title>
<p>The search terms are (&#x2018;Breathing Exercises&#x2019; OR &#x2018;Exercise, Breathing&#x2019; OR &#x2018;Respiratory Muscle Training&#x2019; OR &#x2018;Muscle Training, Respiratory&#x2019; OR &#x2018;Training, Respiratory Muscle&#x2019; OR &#x2018;Inspiratory Muscle Training&#x2019; OR &#x2018;Expiratory Muscle Training&#x2019;) AND (&#x2018;Swimming Exercise&#x2019; OR &#x2018;Swimming Performance&#x2019; OR &#x2018;Swimming&#x2019;). Detailed search strategies are provided in <xref ref-type="sec" rid="s12">Supplementary Appendix A</xref>. Two independent reviewers imported the retrieved records into EndNote X9 for reference management and duplicate removal. Titles and abstracts were then screened independently based on the predefined eligibility criteria. All reviewers underwent standardized training prior to the screening process to ensure consistency. After the initial screening, the full texts of potentially eligible studies were assessed against the inclusion criteria. In cases of disagreement between the two reviewers, a third researcher was consulted to resolve discrepancies and reach consensus.</p>
</sec>
<sec id="s2-4">
<title>2.4 Risk of bias</title>
<p>In accordance with the PROSPERO registration protocol, the risk of bias of included randomized controlled trials was assessed using the Cochrane Risk of Bias 2.0 (RoB 2) tool (<xref ref-type="bibr" rid="B12">Higgins et al., 2024</xref>). Two independent reviewers conducted the assessments. This domain-based tool evaluates five specific bias domains: (1) bias arising from the randomization process, (2) bias due to deviations from intended interventions, (3) bias due to missing outcome data, (4) bias in measurement of the outcome, and (5) bias in selection of the reported result. Each domain contains a number of signalling questions. Once the signalling questions are answered, the next step is to reach a risk-of-bias judgement and assign one of three levels to each domain: &#x2018;Low risk of bias&#x2019;, &#x2018;Some concerns&#x2019;, or &#x2018;High risk of bias&#x2019; (<xref ref-type="bibr" rid="B12">Higgins et al., 2024</xref>). Disagreements between the two reviewers were resolved through discussion with a third reviewer until consensus was reached.</p>
</sec>
<sec id="s2-5">
<title>2.5 Data extraction</title>
<p>Each study was coded based on the following variables: first author, participant characteristics (gender, age, swimming experience), intervention details for experimental and control groups, duration of intervention, and swimming performance outcomes (<xref ref-type="table" rid="T1">Table 1</xref>). Data for this study were independently extracted by two reviewers. Discrepancies were resolved through discussion, and a third reviewer was consulted to arbitrate any unresolved conflicts when necessary. Although inter-rater reliability statistics were not calculated, all discrepancies were resolved prior to data synthesis to ensure consistency and objectivity. Interventions in the experimental group included respiratory muscle-related approaches, such as IMT, EMT, and breathing exercises. Swimming performance was defined as the time taken to complete a specific swimming event. If baseline performance differed significantly between groups, the outcome was excluded from the analysis. In studies with three or more groups (e.g., two experimental and one control group), groups with incomplete data or protocol deviations (e.g., missing follow-ups) were excluded from the analysis. When studies presented swimming performance using bar charts with error bars without reporting exact means and standard deviations, data were extracted using digitization software by a designated researcher (<xref ref-type="bibr" rid="B12">Higgins et al., 2024</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Basic characteristics of included studies in the meta-analysis (n &#x3d; 10). M &#x3d; mean, SD &#x3d; standard deviation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Study</th>
<th align="left">Subjects</th>
<th align="left">Sex</th>
<th align="left">Age (M&#xb1;SD)</th>
<th align="left">Swimming experience (M&#xb1;SD)</th>
<th align="left">Experimental group/Control group treatment</th>
<th align="left">Duration of intervention</th>
<th align="left">Swimming performance index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B30">Ohya et al. (2021)</xref>
</td>
<td align="left">20</td>
<td align="left">EXP: 10M<break/>CON: 10M</td>
<td align="left">EXP: 19 &#xb1; 1 year<break/>CON: 19 &#xb1; 1 year</td>
<td align="left">EXP: 785 &#xb1; 53 FINA points<break/>CON: 762 &#xb1; 45 FINA points</td>
<td align="left">IMT (50%-75%MIP)/no IMT</td>
<td align="left">12 times per week of 6 weeks</td>
<td align="left">100 m Freestyle</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B17">Kilding et al. (2010)</xref>
</td>
<td align="left">16</td>
<td align="left">EXP: 5M3F<break/>CON: 5M3F</td>
<td align="left">EXP: 19.1 &#xb1; 2.6 years<break/>CON: 19.0 &#xb1; 2.1 years</td>
<td align="left">EXP: 7.8 &#xb1; 3.1 years<break/>CON: 8.1 &#xb1; 2.9 years</td>
<td align="left">IMT (50%MIP)/sham IMT</td>
<td align="left">14 times per week of 6 weeks</td>
<td align="left">100 m/200 m/400 m (stroke not reported)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B41">Wells et al. (2005)</xref>
</td>
<td align="left">34</td>
<td align="left">14M20F</td>
<td align="left">15.6 &#xb1; 1.3 years</td>
<td align="left">at least 3 years</td>
<td align="left">IMT (50%-80%MIP)/sham IMT</td>
<td align="left">10 times per week of 12 weeks</td>
<td align="left">200 m Freestyle</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B20">Lemaitre et al. (2013)</xref>
</td>
<td align="left">20</td>
<td align="left">EXP: 6M4F<break/>CON: 7M3F</td>
<td align="left">EXP: 16.5 &#xb1; 2.4 years<break/>CON: 16.1 &#xb1; 2.0 years</td>
<td align="left">train for 45&#x2013;48 weeks each year</td>
<td align="left">RMT (40%&#x2013;50% of vital capacity)/no RMT</td>
<td align="left">5 times per week of 8 weeks</td>
<td align="left">50 m/100 m (stroke not reported)</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B16">Kapus (2013)</xref>
</td>
<td align="left">12</td>
<td align="left">EXP: 3M4F<break/>CON: 2M3F</td>
<td align="left">EXP: 14 &#xb1; 1 year<break/>CON: 14 &#xb1; 1 year</td>
<td align="left">at least 6 years</td>
<td align="left">IMT (50%MIP)/sham IMT</td>
<td align="left">14 times per week of 6 weeks</td>
<td align="left">50 m Freestyle<break/>50 m Butterfly<break/>50 m Breaststroke<break/>100 m Freestyle</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B39">Tan et al. (2023)</xref>
</td>
<td align="left">43</td>
<td align="left">EXP: 20M<break/>CON: 23M</td>
<td align="left">EXP: 21.21 &#xb1; 0.61 years<break/>CON: 21.26 &#xb1; 0.74 years</td>
<td align="left">about 6 months</td>
<td align="left">IMT/no IMT</td>
<td align="left">3 times per week of 6 weeks</td>
<td align="left">100 m Freestyle</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B23">Lomax et al. (2019)</xref>
</td>
<td align="left">33</td>
<td align="left">18M15F</td>
<td align="left">LOW: 16 &#xb1; 3 years<break/>HIGH: 16 &#xb1; 1 year</td>
<td align="left">3&#x2013;8 years</td>
<td align="left">IMT (50% PImax<break/>)/no IMT</td>
<td align="left">14 times per week of 6 weeks</td>
<td align="left">100 m Freestyle<break/>200 m Freestyle</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B43">Ya&#xf1;ez-Sepulveda et al. (2021)</xref>
</td>
<td align="left">15</td>
<td align="left">EXP: 9M<break/>CON: 6M</td>
<td align="left">EXP: 15.5 &#xb1; 1.15 years<break/>CON: 14.7 &#xb1; 1.09 years</td>
<td align="left">EXP: 7.0 &#xb1; 1.12 years<break/>CON: 6.0 &#xb1; 0.89 years</td>
<td align="left">IMT (50%-70%MIP)/no IMT</td>
<td align="left">14 times per week of 4 weeks</td>
<td align="left">50 m Freestyle<break/>100 m Freestyle</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B4">Bernhardt (2025)</xref>
</td>
<td align="left">17</td>
<td align="left">15M2F</td>
<td align="left">EXP: 19.6 &#xb1; 1.1 years<break/>CON: 19.1 &#xb1; 1.0 years</td>
<td align="left">EXP: 10.6 &#xb1; 4.8 years<break/>CON: 10.5 &#xb1; 4.6 years</td>
<td align="left">IMT (75&#x2013;140%MEP)/sham IMT</td>
<td align="left">5 times per week of 4 weeks</td>
<td align="left">6&#x2a;100 m Freestyle</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B8">Ghannadi et al. (2024)</xref>
</td>
<td align="left">20</td>
<td align="left">EXP: 10M<break/>CON: 10M</td>
<td align="left">EXP: 13.61 &#xb1; 1.51 years<break/>CON: 12.53 &#xb1; 2.56 years</td>
<td align="left">at least 2 years</td>
<td align="left">IMT (30%MIP-30%MIP&#x2b;70cmH<sub>2</sub>O)/sham IMT</td>
<td align="left">14 times per week of 8 weeks</td>
<td align="left">50 m (stroke not reported)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-6">
<title>2.6 Synthesis of results</title>
<p>In this study, Review Manager (RevMan) version 5.3 was used to analyze extracted data (sample size, mean, and standard deviation) for overall effect estimation (forest plot) and bias assessment (funnel plot). Stata version 17.0 was employed for sensitivity analysis. Given that baseline values were generally balanced across studies, post-intervention data were analyzed using a fixed-effects model. Heterogeneity, defined as the variability in effect sizes across studies, was assessed using the Chi<sup>2</sup> p-value and the I<sup>2</sup> statistic. A p-value &#x3e;0.1 and I<sup>2</sup> &#x3c; 40% were considered indicative of low heterogeneity (<xref ref-type="bibr" rid="B12">Higgins et al., 2024</xref>). Because the included studies involved different swimming strokes and outcome measures, the standardized mean difference (SMD) was used for pooled analysis. A p-value &#x3c;0.05 was considered statistically significant. SMD values were categorized as follows: trivial (&#x3c;0.2), small (0.2&#x2013;0.49), moderate (0.5&#x2013;0.79), and large (&#x2265;0.8) (<xref ref-type="bibr" rid="B6">Cohen, 1988</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Study characteristics</title>
<p>The flow diagram illustrates the complete process of the systematic literature search conducted for this study (<xref ref-type="fig" rid="F1">Figure 1</xref>). A list of excluded full-text studies with reasons for exclusion is provided in <xref ref-type="sec" rid="s12">Supplementary Appendix F</xref>. A total of 1,043 records were identified through database searching, and after sequential screening, nine articles (<xref ref-type="bibr" rid="B30">Ohya et al., 2021</xref>; <xref ref-type="bibr" rid="B17">Kilding et al., 2010</xref>; <xref ref-type="bibr" rid="B41">Wells et al., 2005</xref>; <xref ref-type="bibr" rid="B20">Lemaitre et al., 2013</xref>; <xref ref-type="bibr" rid="B16">Kapus, 2013</xref>; <xref ref-type="bibr" rid="B39">Tan et al., 2023</xref>; <xref ref-type="bibr" rid="B23">Lomax et al., 2019</xref>; <xref ref-type="bibr" rid="B43">Ya&#xf1;ez-Sepulveda et al., 2021</xref>; <xref ref-type="bibr" rid="B4">Bernhardt, 2025</xref>) met the inclusion criteria. An additional eligible article was identified through other sources (<xref ref-type="bibr" rid="B8">Ghannadi et al., 2024</xref>), resulting in 10 studies included in the final analysis (<xref ref-type="table" rid="T1">Table 1</xref>). The included studies involved 238 participants. After excluding 8 participants from groups with missing follow-up visits, a final total of 230 participants remained (experimental group: n &#x3d; 117; control group: n &#x3d; 113). A summary of study characteristics is as follows: six studies included both male and female participants, while four studies included only males. Regarding participant age, four studies included adults, four included minors, and two included both age groups. All 230 participants had prior swimming experience and were not classified as beginners. Regarding swimming performance, seven studies evaluated freestyle events ranging from 50 m to 200 m, while three studies did not specify stroke type. All 10 studies reported intervention duration and training frequency, but only two provided details on the duration of individual training sessions. Nine studies reported training intensity, with most prescribing loads at 50%&#x2013;80% of MIP; one study did not report intensity. During data extraction, four studies provided image-derived estimates (<xref ref-type="bibr" rid="B30">Ohya et al., 2021</xref>; <xref ref-type="bibr" rid="B17">Kilding et al., 2010</xref>; <xref ref-type="bibr" rid="B39">Tan et al., 2023</xref>; <xref ref-type="bibr" rid="B4">Bernhardt, 2025</xref>). Two swimming performance outcomes (Tan et al., 50 m freestyle (<xref ref-type="bibr" rid="B39">Tan et al., 2023</xref>); Sepulveda et al., 200 m freestyle (<xref ref-type="bibr" rid="B34">Romer and Polkey, 2008</xref>)) were excluded due to significant baseline differences.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Article retrieval and filtering flow.</p>
</caption>
<graphic xlink:href="fphys-16-1638739-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting a systematic review process. Identification stage: 1,044 records found, with 235 duplicates removed. Screening stage: 808 records screened, 791 excluded, 17 sought for retrieval, 1 not retrieved. Eligibility stage: 16 assessed, 7 excluded due to various reasons, such as lack of indicators and missing control group. Inclusion stage: 9 new studies included. Total included studies: 10.</alt-text>
</graphic>
</fig>
<p>The quality of the research methodology was assessed using the RoB 2 tool. The results are presented in <xref ref-type="fig" rid="F2">Figures 2,3</xref>, <xref ref-type="fig" rid="F3"/>, with specific justifications for the judgements provided in <xref ref-type="sec" rid="s12">Supplementary Appendix C</xref>. Of the 10 included studies, overall methodological quality was moderate, with some concerns or high risk of bias noted in several domains. Specifically, most studies were judged as low risk in domains related to outcome measurement and selective reporting. However, concerns were frequently identified in domains such as the randomization process and deviations from intended interventions, and four studies (<xref ref-type="bibr" rid="B39">Tan et al., 2023</xref>; <xref ref-type="bibr" rid="B23">Lomax et al., 2019</xref>; <xref ref-type="bibr" rid="B43">Ya&#xf1;ez-Sepulveda et al., 2021</xref>; <xref ref-type="bibr" rid="B4">Bernhardt, 2025</xref>) were rated as having a high overall risk of bias due to high risk ratings in one or more domains. In total, five studies (<xref ref-type="bibr" rid="B30">Ohya et al., 2021</xref>; <xref ref-type="bibr" rid="B17">Kilding et al., 2010</xref>; <xref ref-type="bibr" rid="B41">Wells et al., 2005</xref>; <xref ref-type="bibr" rid="B20">Lemaitre et al., 2013</xref>; <xref ref-type="bibr" rid="B16">Kapus, 2013</xref>) were rated as having &#x201c;some concerns,&#x201d; and only one study (<xref ref-type="bibr" rid="B8">Ghannadi et al., 2024</xref>) were judged as having an overall low risk of bias. These findings underscore the need for more rigorous study designs in future research, including clearer reporting of randomization procedures and adherence to intervention protocols.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Summary of risk-of-bias judgments across individual studies using the RoB 2 tool. Each domain is evaluated as low risk (green), some concerns (yellow), or high risk (red).</p>
</caption>
<graphic xlink:href="fphys-16-1638739-g002.tif">
<alt-text content-type="machine-generated">Risk of bias summary table displaying assessment outcomes for various studies in different bias categories. Each cell contains a green plus, red minus, or yellow question mark indicating low, high, or unclear risk respectively, across categories like randomization, deviations, missing data, measurement, selection, and overall bias.</alt-text>
</graphic>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Proportion of included studies rated as low risk, some concerns, or high risk in each RoB 2 domain.</p>
</caption>
<graphic xlink:href="fphys-16-1638739-g003.tif">
<alt-text content-type="machine-generated">Bar chart depicting various types of bias in a study, with three categories: low risk of bias (green), some concerns (yellow), and high risk of bias (red). Most categories show low risk, except for overall risk, which has some concerns and high risk sections.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Holistic analysis</title>
<p>A total of 21 swimming performance outcomes from 10 studies were included in the analysis to assess the pooled effect of RMT on swimming performance. The weighted mean SMD was &#x2212;0.49 (95% CI [&#x2212;0.70, &#x2212;0.28], p &#x3c; 0.00001; Chi<sup>2</sup> &#x3d; 20.63, p &#x3d; 0.42; I<sup>2</sup> &#x3d; 3%), regardless of participants&#x2019; gender, age, or intervention type (<xref ref-type="fig" rid="F4">Figure 4</xref>). In this context, shorter completion time indicates better swimming performance. Therefore, the results suggest that RMT has a small but statistically significant effect on swimming performance (0.2 &#x2264; SMD &#x3c;0.5), with negligible heterogeneity. Subsequently, a funnel plot was generated (<xref ref-type="fig" rid="F5">Figure 5</xref>) and the Egger&#x2019;s test was performed, which revealed that the funnel plot was relatively symmetrical and the result of the Egger&#x2019;s test was p &#x3d; 0.408 &#x3e; 0.05, which suggests that there is essentially no publication bias in the included literature.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Forest plot showing the overall effect of RMT on swimming performance. Mean &#x3d; mean, SD &#x3d; standard deviation, Total &#x3d; sample size, Std. Mean Difference &#x3d; standardized mean difference, CI &#x3d; confidence interval, df &#x3d; degrees of freedom, IV &#x3d; inverse variance, Fixed &#x3d; fixed effects model.</p>
</caption>
<graphic xlink:href="fphys-16-1638739-g004.tif">
<alt-text content-type="machine-generated">Forest plot showing standardized mean differences between experimental (EXP) and control (CON) groups across various studies. Each study's effect size is represented with a green square and confidence interval lines. The overall mean difference is shown as a black diamond at the bottom, indicating a pooled result of -0.49 with a 95% confidence interval of -0.70 to -0.28.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Funnel plot assessing publication bias across included studies. Each dot represents a single outcome; the vertical line indicates the pooled effect, and the dashed lines represent the pseudo 95% confidence limits.</p>
</caption>
<graphic xlink:href="fphys-16-1638739-g005.tif">
<alt-text content-type="machine-generated">Funnel plot showing the standard error of the standardized mean difference (SMD) on the y-axis and SMD on the x-axis. Data points are mostly centered within the triangular region formed by dashed lines, indicating study distribution in a meta-analysis.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>This meta-analysis is the first to systematically evaluate the effect of RMT on swimming performance. The pooled results revealed a small but significant improvement in performance among swimmers receiving RMT, with low heterogeneity and no publication bias. These findings provide quantitative support for the inclusion of RMT in swim training programs, reinforcing its potential as an effective ergogenic strategy in aquatic sports.</p>
<p>The results of the study showed a small effect size improvement of RMT on swimming performance compared to the control group, with a combined effect size of SMD &#x3d; &#x2212;0.49 (95% CI [-0.70, &#x2212;0.28], p &#x3c; 0.00001), low heterogeneity (Chi<sup>2</sup> &#x3d; 20.63, p &#x3d; 0.42; I<sup>2</sup> &#x3d; 3%) and no significant publication bias (Egger&#x2019;s test: p &#x3d; 0.408 &#x3e; 0.05) further supported this result. In addition, a leave-one-out sensitivity analysis was conducted to evaluate the robustness of the findings (<xref ref-type="fig" rid="F6">Figure 6</xref>). The analysis showed that only the study by Tan et al. exhibited substantial skewness. Excluding this study led to a reduced overall effect size, although it remained within the small effect range (0.2&#x2013;0.49). This suggests that the exclusion of any single study did not materially alter the overall effect estimate&#x2014;that is, the beneficial effect of RMT on swimming performance was not driven by any one study. Nevertheless, risk-of-bias considerations temper the confidence in these results. According to the RoB 2 assessment, four included (<xref ref-type="bibr" rid="B39">Tan et al., 2023</xref>; <xref ref-type="bibr" rid="B23">Lomax et al., 2019</xref>; <xref ref-type="bibr" rid="B43">Ya&#xf1;ez-Sepulveda et al., 2021</xref>; <xref ref-type="bibr" rid="B4">Bernhardt, 2025</xref>) studies were rated as having a high overall risk of bias due to concerns related to deviations from intended interventions and missing outcome data (<xref ref-type="fig" rid="F2">Figure 2</xref>). Although their exclusion did not significantly change the pooled estimate, the potential for bias in these studies cannot be fully dismissed. Therefore, while the meta-analysis supports the positive effects of RMT, the strength of this conclusion should be interpreted with caution given the methodological limitations present across several studies. Future trials should adopt more rigorous designs, including improved randomization, adherence monitoring, and complete outcome reporting, to increase the confidence in effect estimates.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Leave-one-out sensitivity analysis. Each point represents the pooled effect estimate after excluding the named study.</p>
</caption>
<graphic xlink:href="fphys-16-1638739-g006.tif">
<alt-text content-type="machine-generated">Forest plot showing meta-analysis estimates with various studies omitted, listed on the left. Each study's estimate is represented by a circle, with horizontal lines indicating the confidence intervals. The x-axis ranges from negative 0.70 to negative 0.16.</alt-text>
</graphic>
</fig>
<p>This finding is consistent with the majority of previously published empirical studies. For example, Ohya et al. conducted a 6-week MIP intervention in 30 male swimmers and reported significant improvements in 100 m freestyle performance compared to the control group (HI: p &#x3d; 0.046; MOD: p &#x3d; 0.042) (<xref ref-type="bibr" rid="B30">Ohya et al., 2021</xref>). However, some studies reported no significant effects of RMT on swimming performance. For instance, Cunha et al. conducted a 12-week intervention involving 32 participants and found no significant changes in swimming performance (p &#x3d; 0.271), inspiratory muscle strength (p &#x3d; 0.914), exercise-related lung capacity (p &#x3d; 0.262), forced expiratory volume in one second (p &#x3d; 0.265), peak expiratory flow rate (p &#x3d; 0.270), or perceived dyspnoea (p &#x3d; 0.568) (<xref ref-type="bibr" rid="B7">Cunha et al., 2019</xref>). Despite the overall positive trend, inconsistencies across studies warrant further investigation. Variations in RMT outcomes may be attributed to differences in training load (e.g., 30% vs. 80% of MIP), training frequency (5&#x2013;14 sessions per week), and intervention duration (4&#x2013;12 weeks), suggesting the existence of a potential dose&#x2013;effect relationship. However, only two studies reported detailed training duration (<xref ref-type="bibr" rid="B20">Lemaitre et al., 2013</xref>; <xref ref-type="bibr" rid="B39">Tan et al., 2023</xref>), limiting our understanding of the optimal training dose. Comparisons were further complicated by the absence of standardised progression protocols (e.g., criteria for increasing training intensity). Future research should clearly define and standardise these parameters. Regarding dose&#x2013;effect, Mickleborough et al. emphasised that exceeding certain thresholds and maintaining sustained loads are critical for inducing adaptations in pulmonary function, a principle that may also apply to RMT&#x2019;s performance effects (<xref ref-type="bibr" rid="B29">Mickleborough et al., 2008</xref>). Nevertheless, optimal RMT parameters for swimmers remain unclear. With respect to gender, no included study enrolled exclusively female participants, precluding conclusions about potential gender-specific responses to RMT. Variables such as baseline respiratory muscle strength, athletic level (elite vs. sub-elite), age, and intrinsic pulmonary capacity may influence the response to RMT. Yet, the study lacked subgroup stratification or sufficient statistical power to examine these interactions. Lastly, although RMT improves respiratory muscle strength, allocating excessive time to RMT may detract from swimming-specific technical training. Consequently, RMT must be carefully integrated within an athlete&#x2019;s overall training plan. McConnell emphasized that excessive RMT may compromise sport-specific adaptations if improperly timed or dosed, particularly during periods of high-volume technical training (<xref ref-type="bibr" rid="B25">McConnell, 2013</xref>). The concept of a &#x2018;training interference&#x2019; underscores the importance of applying the minimum effective dose and aligning RMT with the athlete&#x2019;s periodized program. This highlights the importance of balancing general physiological adaptation with sport-specific skill acquisition. Given that RMT constitutes an additional training component, its potential to contribute to accumulated fatigue and interfere with sport-specific training adaptations should not be overlooked. Future studies should examine whether integrated periodised programmes combining RMT and swimming training yield superior performance outcomes.</p>
<p>To the authors&#x2019; knowledge, this is the first meta-analysis to evaluate the effect of RMT on swimming performance. In a recent meta-analysis focusing solely on lung function in swimmers, Tello et al. reported that RMT significantly improved MIP (MD &#x3d; 29.35 cmH<sub>2</sub>O; 95% CI [13.04, 45.65] cmH<sub>2</sub>O; p &#x3c; 0.01), whereas no significant effects were observed for maximal expiratory pressure, forced expiratory volume in one second, or forced vital capacity (<xref ref-type="bibr" rid="B5">Carvajal-Tello et al., 2024</xref>). Furthermore, the current findings are broadly consistent with previous meta-analysis investigating the effects of RMT in trained athletes (<xref ref-type="bibr" rid="B10">HajGhanbari et al., 2013</xref>; <xref ref-type="bibr" rid="B42">Xavier et al., 2025</xref>; <xref ref-type="bibr" rid="B21">Le&#xf3;n-Morillas et al., 2021</xref>; <xref ref-type="bibr" rid="B14">Illi et al., 2012</xref>). For example, HajGhanbari et al. reported that RMT had significant positive effects on time-trial performance (MD &#x3d; 0.40), exercise endurance (MD &#x3d; 5.17), and Yo-Yo test performance (MD &#x3d; 4.86) (<xref ref-type="bibr" rid="B10">HajGhanbari et al., 2013</xref>). Similar to cycling, swimming imposes high ventilatory demands, and respiratory muscle fatigue may limit blood flow redistribution to working limb muscles, thereby impairing performance (<xref ref-type="bibr" rid="B34">Romer and Polkey, 2008</xref>; <xref ref-type="bibr" rid="B11">Harms et al., 2000</xref>). RMT may enhance swimming economy by increasing MIP and MEP, delaying respiratory muscle fatigue, and improving oxygen utilization efficiency (<xref ref-type="bibr" rid="B17">Kilding et al., 2010</xref>; <xref ref-type="bibr" rid="B26">McConnell, 2009</xref>). Notably, the swimming distances included in this study (50&#x2013;400 m) corresponded to submaximal intensities. The effects of RMT on shorter sprint events (&#x3c;30 s) may be limited due to their predominant reliance on anaerobic energy pathways (<xref ref-type="bibr" rid="B37">Shei, 2018</xref>).</p>
<p>Although the present study observed a consistent trend of improvement across different strokes, the majority of performance outcomes were derived from freestyle events (13 out of 21), which may obscure stroke-specific effects. The lateral breathing pattern in freestyle places high demands on diaphragmatic and intercostal muscle coordination (<xref ref-type="bibr" rid="B28">McLeod, 2009</xref>). RMT may improve breathing efficiency by enhancing stroke-breath synchronization, for example, by reducing peak inspiratory resistance during the breathing cycle (<xref ref-type="bibr" rid="B19">Lavin et al., 2015</xref>). However, other strokes such as butterfly or breaststroke involve different breathing mechanics, including forward head lifts and varying trunk rotations, which may engage distinct respiratory and postural muscle groups (<xref ref-type="bibr" rid="B3">Barbosa et al., 2006</xref>). These biomechanical and muscular differences suggest that the effectiveness of RMT could vary by stroke type. Therefore, future studies should consider evaluating RMT efficacy in stroke-specific contexts and reporting outcomes separately for each stroke. Tailored RMT protocols may be necessary to address the unique ventilatory demands of each swimming style.</p>
</sec>
<sec id="s5">
<title>5 Limitations</title>
<p>Several limitations of this study should be acknowledged. The small number of included studies (n &#x3d; 10) limited the statistical power of the subgroup analysis. Notably, none of the studies specifically examined female swimmers, precluding any meaningful exploration of gender-based differences. Furthermore, the lack of detailed information on training duration and the absence of standardised progression protocols hindered a robust dose&#x2013;effect analysis. Although the overall methodological quality was rated as &#x2018;moderate&#x2019;, four studies were assessed as being at high risk of bias, and most failed to implement adequate blinding and rigorous randomisation procedures. These methodological weaknesses could potentially result in performance bias or an overestimation of the true effects. Additionally, the analysis were unable to adequately account for how RMT was integrated into the swimmers&#x2019; overall training programmes, leaving possible confounding effects unresolved. Since all participants had prior swimming experience, the generalisability of the findings to untrained or recreational populations remains limited. Lastly, four studies relied on image-based data (<xref ref-type="bibr" rid="B30">Ohya et al., 2021</xref>; <xref ref-type="bibr" rid="B17">Kilding et al., 2010</xref>; <xref ref-type="bibr" rid="B39">Tan et al., 2023</xref>; <xref ref-type="bibr" rid="B4">Bernhardt, 2025</xref>), which may have introduced measurement errors.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<title>6 Conclusion</title>
<p>The findings of this meta-analysis suggest that RMT may confer moderate improvements in swimming performance compared to control conditions (SMD &#x3d; &#x2212;0.49). RMT serves as a supplementary modality to resistance training in swimmers. Among the included studies, RMT protocols were generally implemented at intensities ranging from 50% to 80% of MIP, over 6&#x2013;8 weeks, with a training frequency of 3&#x2013;14 sessions per week. However, due to considerable heterogeneity in programme design and the absence of direct comparisons across RMT modalities, no definitive conclusions can be drawn regarding the optimal training parameters. Moreover, the physiological mechanisms underlying the observed performance benefits remain speculative, as they were not directly assessed within the scope of this review. Future research should aim to clarify the dose-effect relationship, explore long-term physiological adaptations, and evaluate how individual swimmer characteristics&#x2014;such as sex, stroke style, and competitive level&#x2014;moderate the effects of RMT.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>SL: Data curation, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review and editing. PG: Data curation, Formal Analysis, Investigation, Methodology, Software, Validation, Writing &#x2013; review and editing. ML: Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Supervision, Validation, Writing &#x2013; review and editing, Resources.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<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="s12">
<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.2025.1638739/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphys.2025.1638739/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Supplementaryfile3.docx" id="SM2" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Supplementaryfile2.docx" id="SM3" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Supplementaryfile4.docx" id="SM4" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<sec id="s13">
<title>Abbreviations</title>
<p>BR, Breaststroke; FL, Butterfly; FR, Freestyle; CI, Confidence Interval; RMT, respiratory muscle training; IMT, inspiratory muscle training; EMT, expiratory muscle training; MIP, maximal inspiratory pressure; RCT, randomized controlled trial; CCT, controlled clinical trial; ES, effect size; IV, Inverse Variance; SMD, standardized mean difference; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-analyses; PROSPERO, International Prospective Register of Systematic Reviews.</p>
</sec>
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