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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title-group>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
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<issn pub-type="epub">1664-0640</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="doi">10.3389/fpsyt.2026.1741195</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Influencing factors of physical exercise motivation among military academy cadets: a social ecological model analysis</article-title>
</title-group>
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<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Wenqi</given-names></name>
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<name><surname>Xu</surname><given-names>Chao</given-names></name>
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<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Gao</surname><given-names>Guoxian</given-names></name>
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<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Cheng</given-names></name>
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<name><surname>Wang</surname><given-names>Fengxiang</given-names></name>
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<name><surname>Song</surname><given-names>Yanliang</given-names></name>
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<name><surname>Wang</surname><given-names>Wei</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Military and Physical Education, Qingdao Branch of Naval Aviation University</institution>, <city>Qingdao</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>College of Physical Education, Guizhou University of Finance and Economics</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Military Physical Education, Naval Aviation University</institution>, <city>Yantai</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Chao Xu, <email xlink:href="mailto:xc13791999062@163.com">xc13791999062@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-03">
<day>03</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1741195</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>13</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Wang, Xu, Gao, Zhang, Wang, Song and Wang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Wang, Xu, Gao, Zhang, Wang, Song and Wang</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-03">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>Background</title>
<p>Physical exercise motivation is a critical determinant of health behavior among military academy cadets. While individual psychological factors have been extensively studied, the multilevel influences based on the Social Ecological Model (SEM) remain underexplored in this population. This study aimed to investigate the effects of intrapersonal (exercise self-efficacy), interpersonal (social support), and Organizational (institutional support) factors on exercise motivation among Chinese military academy cadets.</p>
</sec>
<sec>
<title>Methods</title>
<p>A validated questionnaire was developed based on SEM constructs. After pilot testing with 294 participants (Cronbach&#x2019;s &#x3b1; &#x2265; 0.82 for all scales), a cross-sectional survey was conducted among 581 cadets. Structural Equation Modeling (SEM) was performed using AMOS 24.0 to examine direct and indirect pathways. Bootstrap resampling (5,000 iterations) was employed to test mediating effects.</p>
</sec>
<sec>
<title>Results</title>
<p>Exercise self-efficacy demonstrated a significant total effect on exercise motivation (&#x3b2; = 0.465, <italic>p</italic> &lt; 0.001, 95% CI [0.357&#x2013;0.569]) but no significant direct effect, indicating full mediation. Both interpersonal support (&#x3b2; = 0.547, <italic>p</italic> &lt; 0.001) and Organizational support (&#x3b2; = 0.198, <italic>p</italic> = 0.001) exhibited significant positive direct effects. Three significant indirect pathways were identified: (1) Self-efficacy &#x2192; Organizational support &#x2192; Motivation (&#x3b2; = 0.136, <italic>p</italic> = 0.005, 95% CI [0.038&#x2013;0.268]). (2) Self-efficacy &#x2192; Interpersonal support &#x2192; Motivation (&#x3b2; = 0.130, <italic>p</italic> &lt; 0.001, 95% CI [0.055&#x2013;0.223]). (3) Self-efficacy &#x2192; Organizational support &#x2192; Interpersonal support &#x2192; Motivation (&#x3b2; = 0.175, <italic>p</italic> &lt; 0.001, 95% CI [0.115&#x2013;0.255]).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Organizational and interpersonal supports serve as critical mediators translating individual self-efficacy into exercise motivation. Multi-level interventions targeting policy optimization (e.g., mandatory group exercise programs), peer-mentoring systems, and instructor training may facilitate the transition from extrinsic compliance to intrinsic motivation among military cadets.</p>
</sec>
</abstract>
<kwd-group>
<kwd>chain mediation</kwd>
<kwd>interpersonal support</kwd>
<kwd>military cadets</kwd>
<kwd>organizational support</kwd>
<kwd>physical exercise motivation</kwd>
<kwd>self-efficacy</kwd>
<kwd>social ecological model</kwd>
<kwd>structural equation modeling</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="3"/>
<table-count count="10"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="11"/>
<word-count count="5480"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Mental Health Occupational Therapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Military academy cadets represent the future core of national defense capabilities. For this population, maintaining high levels of physical fitness and exercise motivation is not only a matter of personal health but a critical component of operational readiness and combat effectiveness (<xref ref-type="bibr" rid="B1">1</xref>). While extensive research has established the importance of exercise motivation in predicting physical activity adherence in general and student populations (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>), the unique institutional and social dynamics influencing motivation within military academies remain underexplored.</p>
<p>The Social Ecological Model (SEM) provides a robust framework for understanding health behaviors as outcomes of multi-level interactions (<xref ref-type="bibr" rid="B4">4</xref>). It posits that behavior is shaped by intrapersonal, interpersonal, Organizational, community, and policy factors. This model has been widely applied in civilian physical activity research (<xref ref-type="bibr" rid="B5">5</xref>). However, military academies constitute &#x201c;total institutions&#x201d; characterized by compulsory membership, hierarchical governance, physical seclusion, and a strong emphasis on collective norms (<xref ref-type="bibr" rid="B6">6</xref>). These features likely compress and intensify the influences of the Organizational and interpersonal layers of the SEM, while potentially altering the pathways through which individual factors, such as self-efficacy, operate. For instance, mandatory training regimens may shift the balance between intrinsic and extrinsic motivation, and peer influence may be amplified within closed, cohesive units. Despite the theoretical relevance of the SEM to this setting, few studies have empirically tested a multi-level SEM framework to explain exercise motivation specifically among military cadets.</p>
<p>To address this gap by applying a tailored SEM framework to the military academy context. We focus on three core, modifiable levels: (a) the intrapersonal level (exercise self-efficacy), (b) the interpersonal level (support from peers and instructors), and (c) the Organizational level (institutional support in terms of programs, facilities, and policy environment). By examining both the direct effects of these factors and their potential mediating relationships, this research seeks to elucidate the complex mechanisms driving exercise motivation in a high-stakes, structured environment. Clarifying these pathways is essential for developing ecologically valid interventions that can effectively promote self-determined, sustained physical training among future military officers, moving beyond mere compliance to fostering intrinsic engagement.</p>
<p>The innermost layer of the Social Ecological Model comprises individual characteristics. Sallis et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>) identified exercise self-efficacy (ESE) as the psychological construct most strongly associated with physical-activity behavior. Among adolescents and university students, ESE exerts a direct, positive effect on both intention and maintenance of exercise (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Because ESE represents the conviction that one can successfully execute regular physical activity, cadets with high ESE are more likely to experience positive affect during exercise, sustain pleasant affective states, and consequently adhere to training routines over time (<xref ref-type="bibr" rid="B10">10</xref>). Huang, M. R. et&#xa0;al. (<xref ref-type="bibr" rid="B11">11</xref>) further demonstrated that university students&#x2019; lifestyle physical activity is mediated by sport-related interest that is itself predicted by ESE. We therefore selected ESE as the key intrapersonal predictor.</p>
<p>Interpersonal support is typically supplied through family, peers, and teachers. In the cloistered context of military academies, cadets have minimal contact with parents; we therefore focus on peers and physical-education (PE) instructors. Zhang et&#xa0;al. (<xref ref-type="bibr" rid="B12">12</xref>) reported that peer and teacher support were the strongest social predictors of students&#x2019; self-reported exercise participation, second only to ESE. During adolescence, support from friends becomes the dominant social influence, exerting a decisive effect on both motivation and actual engagement (<xref ref-type="bibr" rid="B13">13</xref>). Teachers&#x2019; instructional style and professional competence are also significantly associated with students&#x2019; exercise behavior (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Organizational support encompasses school-level opportunities, community resources, and policy promotion. Given the sequestered nature of military academies, we concentrate on curricular provision, extracurricular programs, and access to sports facilities. Cross-sectional and observational studies consistently show that schools offering abundant, attractive physical-activity options foster more active lifestyles among students (<xref ref-type="bibr" rid="B15">15</xref>). Systematic observations further reveal that students&#x2019; activity levels vary with class size, teaching modality, and overall curricular climate (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Although policies are intended to promote activity, university students often perceive them as coercive and minimally motivating, sometimes eliciting reactance (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>This study aimed to investigate the effects of intrapersonal (exercise self-efficacy), interpersonal (social support), and Organizational (institutional support) factors on exercise motivation among Chinese military academy cadets. Based on this objective, the present study proposes the following hypotheses:</p>
<list list-type="simple">
<list-item>
<p>H1. Exercise self-efficacy positively predicts military cadets&#x2019; exercise motivation.</p></list-item>
<list-item>
<p>H2. Organizational support positively predicts military cadets&#x2019; exercise motivation.</p></list-item>
<list-item>
<p>H3. Interpersonal support positively predicts military cadets&#x2019; exercise motivation.</p></list-item>
<list-item>
<p>H4. Organizational and interpersonal support serially mediate the relationship between exercise self-efficacy and exercise motivation.</p></list-item>
</list>
</sec>
<sec id="s2">
<label>2</label>
<title>Participants and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Sample and procedure</title>
<p>A cross-sectional survey design was employed. Participants were full-time undergraduate and junior-college cadets recruited from six Chinese military academies using a purposive sampling method to ensure diversity in training branches and geographic location. To mitigate potential coercion and respect the chain of command, the research team collaborated with academy administrative offices. Invitations containing a link/QR code to the anonymous online survey (hosted on Wenjuanxing platform) were disseminated through official cadet communication channels (e.g., intranet bulletins, class group chats), not directly by instructors to their own students, to minimize social desirability bias. Participation was voluntary, and informed consent was obtained electronically prior to survey commencement.</p>
<p>Data collection occurred in two phases: Pilot Study: An initial survey link was distributed in one academy. Out of 381 responses, 294 valid questionnaires were retained after applying validity checks (effective rate = 77.17%). Main Study: The revised survey was distributed across six academies. From 942 submitted questionnaires, 581 were deemed valid after screening (effective rate = 61.68%), comprising 315 undergraduates and 266 junior-college students. <italic>Invalidity Criteria:</italic> Questionnaires were excluded if they exhibited (a) straight-lining (identical responses to &#x2265; 10 consecutive items), (b) implausibly short completion time (&lt; 1/3 of median time), or (c) more than 10% of items left blank.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Instrument</title>
<p>We developed the Military Cadet Exercise-Motivation Determinants Scale (MC-EMDS) through a multi-step, rigorous process to ensure its validity and reliability for the target population.</p>
<p>Item Generation and Expert Review: An initial item pool of 59 statements was generated based on a comprehensive literature review of SEM constructs in physical activity (e.g., <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B19">19</xref>) and semi-structured interviews with 15 cadets from two academies (not involved in the main study) to capture context-specific nuances. The items were designed to measure four first-order latent constructs: Exercise Self-Efficacy, Interpersonal Support, Organizational Support, and Exercise Motivation, with further delineation into six second-order facets (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>) (see <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> for sources).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Scale dimensions and source items.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">1st-order factor</th>
<th valign="middle" align="left">2nd-order factor</th>
<th valign="middle" align="left">Item numbers</th>
<th valign="middle" align="left">Source</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Individual factors</td>
<td valign="middle" align="left">Exercise self-efficacy</td>
<td valign="middle" align="left">Q1, Q5, Q7, Q11, Q15, Q20, Q23, Q25, Q32</td>
<td valign="middle" align="left">Lee, L. L., Chiu, Y. Y., Ho, C. C., et&#xa0;al. (2011). The Chinese version of the Outcome Expectations for Exercise scale: Validation study. <italic>International Journal of Nursing Studies</italic>, 48(6), 672-680.</td>
</tr>
<tr>
<td valign="middle" align="left">Inter-personal support</td>
<td valign="middle" align="left">Peer support</td>
<td valign="middle" align="left">Q21, Q27, Q34, Q45</td>
<td valign="middle" align="left">Guo, K. L. (2019). The relationship among school sports environment, exercise intention and physical activity in junior-high students (Master&#x2019;s thesis, Shanghai University of Sport).</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Teacher support</td>
<td valign="middle" align="left">Q18, Q31, Q33, Q37, Q48</td>
<td valign="middle" align="left">Chen, P. Y., &amp; Sun, Q. Z. (2014). Construction of a social-ecological model for promoting youth physical activity&#x2014;Evidence from primary and secondary students in Jiangsu. <italic>Journal of Shanghai University of Sport</italic>, 38(5), 79-84.</td>
</tr>
<tr>
<td valign="middle" align="left">Organizational support</td>
<td valign="middle" align="left">Curriculum &amp; activities</td>
<td valign="middle" align="left">Q14, Q16, Q29, Q42, Q44</td>
<td valign="middle" align="left">Guo, K. L. (2019). The relationship among school sports environment, exercise intention and physical activity in junior-high students (Master&#x2019;s thesis, Shanghai University of Sport).</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Facilities</td>
<td valign="middle" align="left">Q9, Q17, Q35, Q46</td>
<td valign="middle" align="left">Huang, M. R., &amp; Zhang, Y. P. (2020). A social-ecological reflection on factors influencing university students&#x2019; sport-life style in China. <italic>Sports &amp; Science</italic>, 41(3), 110-120.</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Policy &amp; publicity</td>
<td valign="middle" align="left">Q3, Q28, Q40, Q41, Q43, Q47</td>
<td valign="middle" align="left">&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">Exercise motivation</td>
<td valign="middle" align="left">&#x2014;</td>
<td valign="middle" align="left">Q2, Q4, Q6, Q8, Q10, Q12, Q13, Q19, Q22, Q24, Q26, Q30, Q36, Q38, Q39</td>
<td valign="middle" align="left">Chen, S. P., Wang, Y. B., &amp; Rong, J. Z. (2013). Development and validation of a simplified Motives for Physical Activity Measure-Revised (MPAM-R) for Chinese exercisers. <italic>Journal of Beijing Sport University</italic>, 36(2), 66-70 + 78.</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>To ensure content validity and relevance to the military context, a panel of seven experts was convened. The panel included three associate professors specializing in military physical education, two sports psychologists, one senior military training officer, and one methodological with expertise in scale development. Experts were selected based on their publication record in related fields and practical experience with the cadet population. They independently rated each item on a 4-point scale for relevance, clarity, and comprehensiveness. The Scale-Level Content Validity Index (S-CVI/Average) was calculated as 0.97, and the Item-Level CVI (I-CVI) ranged from 0.86 to 1.00, exceeding the recommended threshold of 0.78 (<xref ref-type="bibr" rid="B24">24</xref>). Based on expert feedback regarding redundancy and clarity, the item pool was refined to 48 items. Importantly, the expert panel also assessed the theoretical alignment of the item structure with the SEM framework, confirming its appropriateness.</p>
<p>Pilot Testing and Scale Refinement: The 48-item scale was administered in the pilot study (N = 294). We acknowledge the limitation noted by Reviewer 1 regarding the absence of test-retest reliability in the pilot phase. While internal consistency was high (Cronbach&#x2019;s &#x3b1; &#x2265; 0.82 for all major constructs), future iterations of the scale should include temporal stability assessment. Exploratory Factor Analysis (EFA) was conducted using principal axis factoring with Promax rotation (allowing for correlated factors as theorized in SEM). The Kaiser-Meyer-Olkin measure was 0.938, and Bartlett&#x2019;s test was significant (p &lt;.001). Items were retained if they met the following criteria: (1) primary factor loading &#x2265; 0.50, (2) cross-loading difference &#x2265; 0.20, and (3) theoretical coherence with the intended construct. This process led to the deletion of 8 items, resulting in a final 40-item scale with a clear four-factor structure (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), accounting for 60.95% of the total variance. All retained factors demonstrated acceptable internal consistency (Cronbach&#x2019;s &#x3b1; &gt; 0.70).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Factor loadings and factor labels.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Factor</th>
<th valign="middle" align="left">Item (English translation)</th>
<th valign="middle" align="left">Loading</th>
<th valign="middle" align="left">Variance explained</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="6">Inter-personal support</td>
<td valign="middle" align="left">Q34. I am more willing to exercise when friends take part.</td>
<td valign="middle" align="left">.836</td>
<td valign="middle" align="left">19.82%</td>
</tr>
<tr>
<td valign="middle" align="left">Q45. My friends often encourage me to exercise.</td>
<td valign="middle" align="left">.745</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q31. My PE instructor is conscientious and responsible.</td>
<td valign="middle" align="left">.742</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q48. My squad officers strongly support my exercise participation.</td>
<td valign="middle" align="left">.716</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q37. My squad officers praise students who excel in both academics and sport equally.</td>
<td valign="middle" align="left">.704</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q27. My friends often exercise together with me.</td>
<td valign="middle" align="left">.638</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Exercise self-efficacy</td>
<td valign="middle" align="left">Q23. I am confident I can exercise even when I feel depressed.</td>
<td valign="middle" align="left">.775</td>
<td valign="middle" align="left">16.77%</td>
</tr>
<tr>
<td valign="middle" align="left">Q15. I am confident I can exercise even when I feel pain.</td>
<td valign="middle" align="left">.724</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q7. I am confident I can exercise even when I feel tired.</td>
<td valign="middle" align="left">.696</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q25. I am confident I can exercise even when the weather bothers me.</td>
<td valign="middle" align="left">.693</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q32. I am confident I can exercise even when I am busy.</td>
<td valign="middle" align="left">.692</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q20. I am confident I can exercise even when I am not interested in the activity.</td>
<td valign="middle" align="left">.686</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Exercise motivation</td>
<td valign="middle" align="left">Q4. I exercise to control my weight.</td>
<td valign="middle" align="left">.787</td>
<td valign="middle" align="left">13.12%</td>
</tr>
<tr>
<td valign="middle" align="left">Q13. I exercise to keep or improve my figure.</td>
<td valign="middle" align="left">.753</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q12. I exercise to make myself more attractive.</td>
<td valign="middle" align="left">.691</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q6. I exercise to improve my sport skills.</td>
<td valign="middle" align="left">.582</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Organizational support</td>
<td valign="middle" align="left">Q17. I often use academy facilities for sports organized by my university/college/unit.</td>
<td valign="middle" align="left">.868</td>
<td valign="middle" align="left">11.24%</td>
</tr>
<tr>
<td valign="middle" align="left">Q16. I often take part in sports activities organized by my university/college/unit.</td>
<td valign="middle" align="left">.812</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q3. Campus publicity (honor boards, slogans) motivates me to exercise.</td>
<td valign="middle" align="left">.480</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q14. My university/college/unit regularly holds sports events (sports meets, basketball games, fitness contests, etc.).</td>
<td valign="middle" align="left">.469</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Final Scale Structure: The final MC-EMDS comprised 40 items rated on a 5-point Likert scale (1=Strongly Disagree to 5=Strongly Agree). The four latent constructs were measured as follows:</p>
<p>(1) Exercise Self-Efficacy (ESE): 6 items (e.g., &#x201c;I am confident I can exercise even when I feel tired&#x201d;). (2) Organizational Support (OS): 4 items covering curriculum/activities and facilities (e.g., &#x201c;I often use academy facilities for sports organized by my unit&#x201d;). (3) Interpersonal Support (IS): 6 items covering peer and teacher/squad leader support (e.g., &#x201c;My friends often encourage me to exercise&#x201d;). (4) Exercise Motivation (MOT): 4 items focusing on intrinsic and identified regulation aspects (e.g., &#x201c;I exercise to improve my sport skills&#x201d;).</p>
<p>Content validity was evaluated by seven additional subject-matter experts using a 4-point relevance scale (&#x2265; 3 = relevant). S-CVI (scale-level content-validity index, average method) was 0.97. All first-order factors achieved S-CVI &#x2265; 0.93; second-order factors ranged from 0.86 (Facilities) to 1.00 (Exercise Self-Efficacy, Curriculum/Activities).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data analysis</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Data were analyzed using SPSS 26.0 and AMOS 26.0.</title>
<sec id="s2_3_1_1">
<label>2.3.1.1</label>
<title>Confirmatory factor analysis</title>
<p>A CFA was performed on the main study sample (N = 581) to validate the four-factor structure derived from the EFA. Model fit was assessed using multiple indices: &#x3c7;&#xb2;/df (&lt;5), Comparative Fit Index (CFI &gt;0.90), Tucker-Lewis Index (TLI &gt;0.90), Root Mean Square Error of Approximation (RMSEA &lt;0.08), and Standardized Root Mean Square Residual (SRMR &lt;0.08) (<xref ref-type="bibr" rid="B25">25</xref>). Convergent validity was assessed via Average Variance Extracted (AVE &gt;0.50) and Composite Reliability (CR &gt;0.70). Discriminant validity was confirmed if the square root of the AVE for each construct was greater than its correlations with other constructs (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s2_3_1_2">
<label>2.3.1.2</label>
<title>Common method bias assessment</title>
<p>Given the cross-sectional, self-report design, we employed both procedural and statistical controls. Procedurally, we ensured respondent anonymity and item randomization. Statistically, we used the latent common method factor approach (<xref ref-type="bibr" rid="B27">27</xref>). A method factor linking all items was added to the measurement model. A significant improvement in model fit (&#x394;CFI/&#x394;TLI &gt; 0.10, &#x394;RMSEA &gt; 0.05) would indicate substantial CMB. As shown in Results, the change was negligible.</p>
</sec>
<sec id="s2_3_1_3">
<label>2.3.1.3</label>
<title>Structural equation modeling</title>
<p>The hypothesized structural model was tested to examine direct paths from ESE, OS, and IS to MOT, as well as the indirect paths specified in H4.</p>
</sec>
<sec id="s2_3_1_4">
<label>2.3.1.4</label>
<title>Mediation analysis</title>
<p>The significance of indirect effects was tested using bias-corrected bootstrap confidence intervals with 5,000 resamples. An indirect effect is considered statistically significant if its 95% CI does not include zero. We emphasize that the cross-sectional design precludes definitive causal claims; the terms &#x201c;effect&#x201d; and &#x201c;mediation&#x201d; are used within the statistical modeling context to describe associations and indirect pathways.</p>
</sec>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Pilot survey</title>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Item analysis</title>
<p>Critical-ratio (CR) testing was used. Total scores were ranked; the top and bottom 27% were labelled high (code 2) and low (code 1) groups. Independent-samples t-tests (SPSS 23.0) showed all p (two-tailed) &lt;.001, indicating satisfactory discrimination; no items were deleted.</p>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Reliability</title>
<p>Cronbach&#x2019;s &#x3b1; for the pilot sample (N = 294) was.956 overall. First-order factors: Individual.849, Interpersonal Support.892, Organizational Support.892, Exercise Motivation.907. Second-order factors: Exercise Self-Efficacy.849, Peer Support.839, Teacher Support.797, Curriculum/Activities.793, Facilities.606, Policy/Promotion.824. All coefficients exceeded the.60 minimum, demonstrating acceptable internal consistency (<xref ref-type="bibr" rid="B28">28</xref>).</p>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>Exploratory factor analysis</title>
<p>KMO = .938, Bartlett &#x3c7;&#xb2; p &lt;.001, indicating suitability for factor extraction. Principal-axis factoring with varimax rotation yielded four factors (eigen-values &gt; 1) explaining 60.95% of the variance after deleting items loading &lt;.45 or cross-loading &#x2265;.40. Factor loadings ranged.469&#x2013;.868 (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Results of confirmatory factor analysis</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Structural validity</title>
<p>A confirmatory factor analysis (CFA) was conducted on the four latent constructs&#x2014;exercise self-efficacy, interpersonal support, Organizational support, and exercise motivation. The path diagram is shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>, and the model-fit indices are reported in <xref ref-type="table" rid="T3"><bold>Tables&#xa0;3</bold></xref>&#x2013;<xref ref-type="table" rid="T5"><bold>5</bold></xref>
.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Path diagram of the confirmatory factor analysis model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1741195-g001.tif">
<alt-text content-type="machine-generated">Diagram showing a structural equation model with four latent variables: Exercise Self-Efficacy, Interpersonal Support, Organizational Support, and Exercise Motivation. Each variable is linked to observed survey items labeled with Q and numbers. Curved arrows indicate correlations between latent variables, and straight arrows point from latent variables to their observed indicators with numerical loadings.</alt-text>
</graphic></fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Model fit indices for CFA.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="left">&#x3c7;&#xb2;/df</th>
<th valign="middle" align="left">RMSEA</th>
<th valign="middle" align="left">GFI</th>
<th valign="middle" align="left">TLI</th>
<th valign="middle" align="left">CFI</th>
<th valign="middle" align="left">PNFI</th>
<th valign="middle" align="left">PCFI</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Criterion</td>
<td valign="middle" align="left">1&#x2013;5</td>
<td valign="middle" align="left">&lt;.08</td>
<td valign="middle" align="left">&gt;.90</td>
<td valign="middle" align="left">&gt;.90</td>
<td valign="middle" align="left">&gt;.90</td>
<td valign="middle" align="left">&gt;.50</td>
<td valign="middle" align="left">&gt;.50</td>
</tr>
<tr>
<td valign="middle" align="left">Obtained value</td>
<td valign="middle" align="left">3.251</td>
<td valign="middle" align="left">.062</td>
<td valign="middle" align="left">.917</td>
<td valign="middle" align="left">.926</td>
<td valign="middle" align="left">.938</td>
<td valign="middle" align="left">.769</td>
<td valign="middle" align="left">.790</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Composite reliability and convergent validity.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Factor</th>
<th valign="middle" align="left">Item</th>
<th valign="middle" align="left">STD.</th>
<th valign="middle" align="left">SMC</th>
<th valign="middle" align="left">CR</th>
<th valign="middle" align="left">AVE</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="6">Exercise Self-Efficacy</td>
<td valign="middle" align="left">Q32</td>
<td valign="middle" align="left">0.785</td>
<td valign="middle" align="left">0.617</td>
<td valign="middle" align="left">0.862</td>
<td valign="middle" align="left">0.511</td>
</tr>
<tr>
<td valign="middle" align="left">Q25</td>
<td valign="middle" align="left">0.778</td>
<td valign="middle" align="left">0.605</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q23</td>
<td valign="middle" align="left">0.725</td>
<td valign="middle" align="left">0.525</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q20</td>
<td valign="middle" align="left">0.706</td>
<td valign="middle" align="left">0.499</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q15</td>
<td valign="middle" align="left">0.641</td>
<td valign="middle" align="left">0.410</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q7</td>
<td valign="middle" align="left">0.640</td>
<td valign="middle" align="left">0.410</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Organizational Support</td>
<td valign="middle" align="left">Q17</td>
<td valign="middle" align="left">0.837</td>
<td valign="middle" align="left">0.700</td>
<td valign="middle" align="left">0.830</td>
<td valign="middle" align="left">0.557</td>
</tr>
<tr>
<td valign="middle" align="left">Q16</td>
<td valign="middle" align="left">0.880</td>
<td valign="middle" align="left">0.774</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q14</td>
<td valign="middle" align="left">0.649</td>
<td valign="middle" align="left">0.422</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q3</td>
<td valign="middle" align="left">0.575</td>
<td valign="middle" align="left">0.330</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Exercise Motivation</td>
<td valign="middle" align="left">Q13</td>
<td valign="middle" align="left">0.822</td>
<td valign="middle" align="left">0.675</td>
<td valign="middle" align="left">0.819</td>
<td valign="middle" align="left">0.537</td>
</tr>
<tr>
<td valign="middle" align="left">Q12</td>
<td valign="middle" align="left">0.814</td>
<td valign="middle" align="left">0.662</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q6</td>
<td valign="middle" align="left">0.719</td>
<td valign="middle" align="left">0.517</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q4</td>
<td valign="middle" align="left">0.541</td>
<td valign="middle" align="left">0.292</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Inter-personal Support</td>
<td valign="middle" align="left">Q48</td>
<td valign="middle" align="left">0.689</td>
<td valign="middle" align="left">0.475</td>
<td valign="middle" align="left">0.885</td>
<td valign="middle" align="left">0.562</td>
</tr>
<tr>
<td valign="middle" align="left">Q45</td>
<td valign="middle" align="left">0.786</td>
<td valign="middle" align="left">0.618</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q37</td>
<td valign="middle" align="left">0.731</td>
<td valign="middle" align="left">0.535</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q34</td>
<td valign="middle" align="left">0.826</td>
<td valign="middle" align="left">0.682</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q31</td>
<td valign="middle" align="left">0.691</td>
<td valign="middle" align="left">0.477</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Q27</td>
<td valign="middle" align="left">0.767</td>
<td valign="middle" align="left">0.588</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: Bold values represent Composite Reliability (CR) and Average Variance Extracted (AVE) for each factor. As shown in <xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>, the standardized factor loadings are distributed in a gradient fashion: items Q3 and Q4 fall in the 0.50&#x2013;0.60 range, Q7, Q14, Q15, Q31, and Q48 lie between 0.60 and 0.70, while all remaining items exceed 0.70, indicating a generally high representativeness of the indicators for their underlying constructs. Moreover, composite reliability (CR) for each factor is above 0.80 and average variance extracted (AVE) exceeds 0.50, demonstrating satisfactory convergent validity and providing a solid foundation for the subsequent structural model analysis.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Correlations and discriminant validity.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Factor</th>
<th valign="middle" align="left">AVE</th>
<th valign="middle" align="left">Inter-personal support</th>
<th valign="middle" align="left">Exercise motivation</th>
<th valign="middle" align="left">Organizational support</th>
<th valign="middle" align="left">Exercise self-efficacy</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Inter-personal Support</td>
<td valign="middle" align="left">0.562</td>
<td valign="middle" align="left"><bold>0.749</bold></td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Exercise Motivation</td>
<td valign="middle" align="left">0.537</td>
<td valign="middle" align="left">0.685</td>
<td valign="middle" align="left"><bold>0.733</bold></td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Organizational Support</td>
<td valign="middle" align="left">0.557</td>
<td valign="middle" align="left">0.629</td>
<td valign="middle" align="left">0.559</td>
<td valign="middle" align="left"><bold>0.746</bold></td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Exercise Self-Efficacy</td>
<td valign="middle" align="left">0.511</td>
<td valign="middle" align="left">0.557</td>
<td valign="middle" align="left">0.465</td>
<td valign="middle" align="left">0.686</td>
<td valign="middle" align="left"><bold>0.715</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold figures on the diagonal are the square roots of AVE.</p></fn>
<fn>
<p>Since these square-root values exceed the correlations below them, discriminant validity among the four dimensions is confirmed.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>, the &#x3c7;&#xb2;/df value is 3.251 (&lt; 5), RMSEA = 0.062 (&lt; 0.08), CFI = 0.938 (&gt; 0.90), TLI = 0.926 (&gt; 0.90), GFI = 0.917 (&gt; 0.90), PNFI = 0.769 (&gt; 0.50), and PCFI = 0.790 (&gt; 0.50). All indices meet conventional criteria, indicating satisfactory structural validity. Because good structural validity is a prerequisite for convergent and discriminant validity (<xref ref-type="bibr" rid="B29">29</xref>), composite reliability and convergent validity were subsequently computed from the CFA results.</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Composite reliability and convergent validity</title>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Multicollinearity test</title>
<p>To address potential concerns regarding multicollinearity among the predictor variables (Exercise Self-Efficacy, Organizational Support, and Interpersonal Support), collinearity diagnostics were conducted. As shown in <xref ref-type="table" rid="T6"><bold>Table&#xa0;6</bold></xref>, the Variance Inflation Factor (VIF) values for all constructs ranged from 1.740 to 2.267, which are well below the conservative threshold of 5. Correspondingly, tolerance values exceeded 0.1. These results confirm that multicollinearity is not a significant issue in the present data.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Collinearity diagnostics for predictor variables.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable (latent construct)</th>
<th valign="middle" align="left">Tolerance</th>
<th valign="middle" align="left">VIF</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Exercise Self-Efficacy</td>
<td valign="middle" align="left">0.503</td>
<td valign="middle" align="left">1.987</td>
</tr>
<tr>
<td valign="middle" align="left">Organizational Support</td>
<td valign="middle" align="left">0.441</td>
<td valign="middle" align="left">2.267</td>
</tr>
<tr>
<td valign="middle" align="left">Interpersonal Support</td>
<td valign="middle" align="left">0.575</td>
<td valign="middle" align="left">1.740</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Common-method bias test</title>
<p>We used the latent-factor control approach to assess potential common-method bias. A global method factor was added to the original CFA model, yielding a bifactor specification. As shown in <xref ref-type="table" rid="T6"><bold>Table&#xa0;6</bold></xref>, <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>, the incremental fit after introducing the method factor was:&#x394;&#x3c7;&#xb2;/df = 1.024, &#x394;CFI = 0.032, &#x394;TLI = 0.034, &#x394;RMSEA = &#x2013;0.016, and &#x394;SRMR = &#x2013;0.031. Because the increases in CFI and TLI were &lt; 0.10 and the decreases in RMSEA and SRMR were &lt; 0.05, the improvement in fit is trivial (<xref ref-type="bibr" rid="B30">30</xref>), indicating that common-method bias is not a serious threat in the present data (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Bifactor CFA model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1741195-g002.tif">
<alt-text content-type="machine-generated">Structural equation model diagram illustrating relationships among four latent variables—Exercise Self-Efficacy, Interpersonal Support, Organizational Support, and Exercise Motivation—each linked to respective observed questionnaire items, all influenced by the common latent factor CMV, with error terms indicated for each observed variable.</alt-text>
</graphic></fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Path analysis of the structural equation model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1741195-g003.tif">
<alt-text content-type="machine-generated">Structural equation model diagram displaying relationships among four latent variables: Organizational Support, Interpersonal Support, Exercise Self-Efficacy, and Exercise Motivation, each measured by multiple observed questionnaire items (Q3, Q14, Q16, Q17, Q27, Q31, Q34, Q37, Q45, Q48, Q32, Q25, Q23, Q20, Q15, Q7, Q4, Q6, Q12, Q13). Arrows indicate directional relationships with standardized coefficients labeled. Error terms are shown as circles labeled “e” with corresponding item numbers.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Robustness check: competitive model analysis</title>
<p>To verify the robustness of the hypothesized serial mediation model, a competitive model analysis was conducted. We compared the hypothesized model with an alternative parallel mediation model, in which the direct path from Organizational support to interpersonal support was removed.</p>
<p>As shown in <xref ref-type="table" rid="T6"><bold>Table&#xa0;6</bold></xref>, the fit indices for the competitive model (&#x3c7;2 = 580.654, CFI = 0.928, TLI = 0.915, RMSEA = 0.067) were inferior to those of the hypothesized model (&#x3c7;2 = 520.099, CFI = 0.938, TLI = 0.926, RMSEA = 0.062). Furthermore, the Information Criteria for the hypothesized model (AIC = 620.099, BIC = 838.336) were substantially lower than those for the competitive model (AIC = 678.654, BIC = 892.527), indicating a superior trade-off between model fit and parsimony. These results support the validity of the serial mediation structure over a parallel alternative.</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Hypothesis testing</title>
<sec id="s3_6_1">
<label>3.6.1</label>
<title>Path test</title>
<p>As shown in <xref ref-type="table" rid="T7"><bold>Table&#xa0;7</bold></xref>, <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>, after controlling for the mediating effects, the direct-path tests among variables in the hypothesized model yielded the following results: exercise self-efficacy exerted a significant positive effect on Organizational support (C.R. = 12.369, p &lt; 0.001) and on interpersonal support (C.R. = 3.981, p &lt; 0.001), but its influence on exercise motivation was non-significant (C.R. = 0.434, p = 0.664); Organizational support significantly and positively predicted both interpersonal support (C.R. = 7.793, p &lt; 0.001) and exercise motivation (C.R. = 3.176, p = 0.001), thereby supporting Hypothesis 2 that Organizational support is positively related to military cadets&#x2019; exercise motivation; interpersonal support also had a significant positive effect on exercise motivation (C.R. = 8.284, p &lt; 0.001), supporting Hypothesis 3 that interpersonal support is positively related to military cadets&#x2019; exercise motivation. <xref ref-type="table" rid="T8"><bold>Tables&#xa0;8</bold></xref>&#x2013;<xref ref-type="table" rid="T10"><bold>10</bold></xref>.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Comparison of model fit indices.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Model</th>
<th valign="middle" align="center">X&#xb2;/df</th>
<th valign="middle" align="center">CFI</th>
<th valign="middle" align="center">TLI</th>
<th valign="middle" align="center">RMSEA</th>
<th valign="middle" align="center">SRMR</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Without method factor</td>
<td valign="middle" align="center">3.251</td>
<td valign="middle" align="center">0.938</td>
<td valign="middle" align="center">0.926</td>
<td valign="middle" align="center">0.062</td>
<td valign="middle" align="center">0.062</td>
</tr>
<tr>
<td valign="middle" align="center">With method factor</td>
<td valign="middle" align="center">2.227</td>
<td valign="middle" align="center">0.970</td>
<td valign="middle" align="center">0.960</td>
<td valign="middle" align="center">0.046</td>
<td valign="middle" align="center">0.031</td>
</tr>
<tr>
<td valign="middle" align="center">Difference (&#x394;)</td>
<td valign="middle" align="center">1.024</td>
<td valign="middle" align="center">0.032</td>
<td valign="middle" align="center">0.034</td>
<td valign="middle" align="center">0.016</td>
<td valign="middle" align="center">0.031</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>Comparison of fit indices between the hypothesized and competitive models.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Model</th>
<th valign="middle" align="left">&#x3c7;2</th>
<th valign="middle" align="left">df</th>
<th valign="middle" align="left">CFI</th>
<th valign="middle" align="left">TLI</th>
<th valign="middle" align="left">RMSEA</th>
<th valign="middle" align="left">AIC</th>
<th valign="middle" align="left">BIC</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Hypothesized Model<break/>(Serial Mediation)</td>
<td valign="middle" align="left">520.099</td>
<td valign="middle" align="left">160</td>
<td valign="middle" align="left">0.938</td>
<td valign="middle" align="left">0.926</td>
<td valign="middle" align="left">0.062</td>
<td valign="middle" align="left">620.099</td>
<td valign="middle" align="left">838.336</td>
</tr>
<tr>
<td valign="middle" align="left">Competitive Model(Parallel Mediation)</td>
<td valign="middle" align="left">580.654</td>
<td valign="middle" align="left">161</td>
<td valign="middle" align="left">0.928</td>
<td valign="middle" align="left">0.915</td>
<td valign="middle" align="left">0.067</td>
<td valign="middle" align="left">678.654</td>
<td valign="middle" align="left">892.527</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T9" position="float">
<label>Table&#xa0;9</label>
<caption>
<p>Path analysis of the hypothesized model.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Path</th>
<th valign="middle" align="left">UNSTD</th>
<th valign="middle" align="left">S.E.</th>
<th valign="middle" align="left">C.R.</th>
<th valign="middle" align="left">P</th>
<th valign="middle" align="left">STD</th>
<th valign="middle" align="left">Hypothesis</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Organizational Support &#x2190; Exercise Self-Efficacy</td>
<td valign="middle" align="left">0.813</td>
<td valign="middle" align="left">0.066</td>
<td valign="middle" align="left">12.369</td>
<td valign="middle" align="left">***</td>
<td valign="middle" align="left">0.686</td>
<td valign="middle" align="left">Supported</td>
</tr>
<tr>
<td valign="middle" align="left">Interpersonal Support &#x2190; Organizational Support</td>
<td valign="middle" align="left">0.335</td>
<td valign="middle" align="left">0.043</td>
<td valign="middle" align="left">7.793</td>
<td valign="middle" align="left">***</td>
<td valign="middle" align="left">0.466</td>
<td valign="middle" align="left">Supported</td>
</tr>
<tr>
<td valign="middle" align="left">Interpersonal Support &#x2190; Exercise Self-Efficacy</td>
<td valign="middle" align="left">0.202</td>
<td valign="middle" align="left">0.051</td>
<td valign="middle" align="left">3.981</td>
<td valign="middle" align="left">***</td>
<td valign="middle" align="left">0.237</td>
<td valign="middle" align="left">Supported</td>
</tr>
<tr>
<td valign="middle" align="left">Exercise Motivation &#x2190; Organizational Support</td>
<td valign="middle" align="left">0.114</td>
<td valign="middle" align="left">0.036</td>
<td valign="middle" align="left">3.176</td>
<td valign="middle" align="left">0.001</td>
<td valign="middle" align="left">0.198</td>
<td valign="middle" align="left">Supported</td>
</tr>
<tr>
<td valign="middle" align="left">Exercise Motivation &#x2190; Exercise Self-Efficacy</td>
<td valign="middle" align="left">0.017</td>
<td valign="middle" align="left">0.039</td>
<td valign="middle" align="left">0.434</td>
<td valign="middle" align="left">0.664</td>
<td valign="middle" align="left">0.025</td>
<td valign="middle" align="left">Not supported</td>
</tr>
<tr>
<td valign="middle" align="left">Exercise Motivation &#x2190; Interpersonal Support</td>
<td valign="middle" align="left">0.441</td>
<td valign="middle" align="left">0.053</td>
<td valign="middle" align="left">8.284</td>
<td valign="middle" align="left">***</td>
<td valign="middle" align="left">0.547</td>
<td valign="middle" align="left">Supported</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>***Indicates statistical significance at p &lt; 0.001; S.E., standard error; C.R., critical ratio.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T10" position="float">
<label>Table&#xa0;10</label>
<caption>
<p>Bootstrap test for multiple mediation.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Path</th>
<th valign="middle" rowspan="2" align="center">Effect</th>
<th valign="middle" rowspan="2" align="center">STD</th>
<th valign="middle" rowspan="2" align="center">SE</th>
<th valign="middle" rowspan="2" align="center">P</th>
<th valign="middle" colspan="2" align="center">95%CL</th>
</tr>
<tr>
<th valign="middle" align="center">LB</th>
<th valign="middle" align="center">UB</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="6" align="center">Exercise self-efficacy &#x2192; Exercise motivation</td>
<td valign="middle" align="center">Total effect</td>
<td valign="middle" align="center">0.465</td>
<td valign="middle" align="center">0.054</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.357</td>
<td valign="middle" align="center">0.569</td>
</tr>
<tr>
<td valign="middle" align="center">Direct effect</td>
<td valign="middle" align="center">0.025</td>
<td valign="middle" align="center">0.066</td>
<td valign="middle" align="center">0.724</td>
<td valign="middle" align="center">-0.106</td>
<td valign="middle" align="center">0.151</td>
</tr>
<tr>
<td valign="middle" align="center">ESE &#x2192; Organizational support &#x2192; Motivation</td>
<td valign="middle" align="center">0.136</td>
<td valign="middle" align="center">0.057</td>
<td valign="middle" align="center">0.005</td>
<td valign="middle" align="center">0.039</td>
<td valign="middle" align="center">0.268</td>
</tr>
<tr>
<td valign="middle" align="center">ESE &#x2192; Interpersonal support &#x2192; Motivation</td>
<td valign="middle" align="center">0.130</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.055</td>
<td valign="middle" align="center">0.223</td>
</tr>
<tr>
<td valign="middle" align="center">ESE &#x2192; Organizational support &#x2192; Interpersonal support &#x2192; Motivation</td>
<td valign="middle" align="center">0.175</td>
<td valign="middle" align="center">0.035</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.115</td>
<td valign="middle" align="center">0.255</td>
</tr>
<tr>
<td valign="middle" align="center">Total indirect effect</td>
<td valign="middle" align="center">0.440</td>
<td valign="middle" align="center">0.062</td>
<td valign="middle" align="center">0.000</td>
<td valign="middle" align="center">0.357</td>
<td valign="middle" align="center">0.569</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_6_2">
<label>3.6.2</label>
<title>Mediation test</title>
<p>A bootstrap test based on 5,000 resamples showed that the total effect of exercise self-efficacy on exercise motivation was 0.465 (SE = 0.054, p &lt; 0.001) with a 95% confidence interval of [0.357, 0.569] that did not include zero, so the total effect was significant and Hypothesis 1 was supported. After controlling for the mediators, the direct effect was 0.025 (SE = 0.066, p = 0.724) with a 95% confidence interval of [&#x2013;0.106, 0.151] that included zero, indicating a non-significant direct effect.</p>
<p>Among the multiple mediation paths, the effect of exercise self-efficacy &#x2192; Organizational support &#x2192; exercise motivation was 0.136 (SE = 0.057, p = 0.005, 95% CI [0.039, 0.268]), the effect of exercise self-efficacy &#x2192; interpersonal support &#x2192; exercise motivation was 0.130 (SE = 0.043, p &lt; 0.001, 95% CI [0.055, 0.223]), and the effect of exercise self-efficacy &#x2192; Organizational support &#x2192; interpersonal support &#x2192; exercise motivation was 0.175 (SE = 0.035, p &lt; 0.001, 95% CI [0.115, 0.255]), none of whose confidence intervals included zero, so all indirect effects were significant, supporting Hypothesis H4 that Organizational and interpersonal support serially mediate the relationship between exercise self-efficacy and exercise motivation; the total indirect effect was also significant at 0.440 (SE = 0.062, p &lt; 0.001, 95% CI [0.357, 0.569]).</p>
<p>In sum, exercise self-efficacy has no direct effect on exercise motivation and its influence is fully mediated through the three indirect paths, confirming the existence of a multiple-mediation mechanism.</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study applied a Social Ecological Model framework to investigate multi-level factors influencing exercise motivation among Chinese military academy cadets. The key finding is that exercise self-efficacy influences motivation indirectly and fully, through its positive associations with perceived Organizational and interpersonal support, rather than through a direct pathway. This pattern of full mediation, coupled with the strong direct effects of support systems, highlights the paramount importance of the institutional and social environment in shaping motivational outcomes within this unique, structured setting.</p>
<p>Our finding that self-efficacy had no direct effect on motivation contrasts with numerous studies in civilian university settings where a direct, strong link is often reported (e.g., <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>). This discrepancy is theoretically significant and likely reflects the core distinction of the military academy environment. In a context where physical training is largely mandatory, standardized, and oriented towards collective performance and assessment, an individual&#x2019;s confidence in their capability (self-efficacy) may not freely translate into autonomous motivation (<xref ref-type="bibr" rid="B32">32</xref>). Instead, the behavior is often externally regulated. High self-efficacy in this setting might primarily enhance a cadet&#x2019;s perception of and engagement with the provided resources and social networks (i.e., &#x201c;I am confident, so I am more likely to utilize facilities and seek out peers&#x201d;), which then become the proximal drivers of motivation. This aligns with Huang and Zhang (<xref ref-type="bibr" rid="B18">18</xref>), who suggested that in highly regulated environments, the &#x201c;conversion efficiency&#x201d; of self-efficacy into intrinsic motivation can be attenuated. Our results empirically demonstrate this contextual effect, showing that self-efficacy&#x2019;s role is to activate and amplify the benefits of the environmental supports, rather than to directly fuel motivation independently.</p>
<p>Regarding the Organizational level, our findings revealed that Organizational support had a significant, though moderate, direct effect on motivation. The items with the highest loadings pertained to accessible facilities and organized activities, whereas policy/publicity items were weaker. This suggests that for cadets, tangible, actionable resources are more motivating than top-down promotional messages. Well-maintained gyms, regular intra-unit competitions, and diverse training programs provide the essential &#x201c;opportunity structure&#x201d; that makes exercise feasible and engaging (<xref ref-type="bibr" rid="B19">19</xref>). In the military context, these Organizational provisions also carry normative weight, signaling institutional priority on physical fitness, which can legitimize and valorize exercise participation.</p>
<p>At the interpersonal level, the results indicated that interpersonal support emerged as the strongest direct predictor of motivation. This underscores the critical role of the immediate social milieu within the &#x201c;total institution.&#x201d; Peer support, characterized by companionship and shared participation, likely fosters a sense of belonging and turns exercise into a social ritual, increasing adherence through social obligation and enjoyment (<xref ref-type="bibr" rid="B13">13</xref>). Support from instructors and squad leaders, which includes professional guidance and recognition, satisfies the psychological need for competence and can help internalize the value of training (<xref ref-type="bibr" rid="B33">33</xref>). In a closed community where peers and superiors are constant presences, their attitudes and behaviors become powerful immediate influences, potentially outweighing the impact of broader Organizational policies.</p>
<p>Furthermore, the mediation analysis highlighted that the most substantial indirect effect flowed through the serial pathway (ESE&#x2192;OS&#x2192;IS&#x2192;MOT). This reveals a potential mechanism: cadets with higher self-efficacy are more likely to perceive and take advantage of Organizational resources (e.g., use the gym, join a team). This active engagement, in turn, places them in social interactions where they receive encouragement and recognition from peers and leaders, which ultimately strengthens their motivation. This chain highlights the synergistic interplay between environmental affordances and social processes. It suggests that interventions solely improving facilities may have limited impact unless they also create opportunities for positive social interaction around those facilities.</p>
<p>Despite its contributions, this study has several limitations that must be acknowledged, as rightly pointed out by the reviewers. First, the cross-sectional design limits causal inference. Longitudinal or experimental studies are needed to confirm the directionality of the proposed pathways. Second, reliance on self-reported data may introduce bias, though we attempted to mitigate this through anonymity and CMB assessment. Future research could incorporate objective measures of physical activity or peer-network analysis. Third, the sample was drawn from Chinese military academies, which may limit the generalizability of findings to other cultural or military contexts. Comparative studies across different nations&#x2019; military training systems would be valuable. Fourth, while our scale demonstrated good psychometric properties, the absence of test-retest reliability data and the use of a relatively homogeneous expert panel for content validation are methodological constraints for future work to address.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions and recommendations</title>
<p>From a theoretical perspective this study contributes to the literature by empirically validating a multi-level Social Ecological Model within the under-researched context of military academies. It demonstrates that in highly structured, collective environments, the pathway from individual psychological assets (self-efficacy) to behavioral motivation is not direct but is fully channeled through the perceived environment (Organizational and interpersonal support). This finding calls for a nuanced application of general psychological theories to specific institutional contexts.</p>
<p>In terms of practical implications the results suggest that to enhance cadets&#x2019; exercise motivation, multi-faceted interventions are necessary: (1) Strengthen Organizational Support: Beyond mandatory training, diversify physical activity offerings (e.g., elective sports, adventure training) and ensure easy access to high-quality, well-maintained facilities. Policy should focus on enabling and enriching the exercise experience rather than merely mandating it. (2) Leverage Interpersonal Dynamics: Foster a positive motivational climate by training instructors and squad leaders to provide autonomy-supportive feedback and recognize effort. Create structured peer-mentoring systems or small-group training challenges to capitalize on peer influence. (3) Create Synergistic Interventions: Design programs that combine resource provision with social interaction. For example, new facility openings could be paired with instructor-led workshops or inter-unit tournaments, facilitating the serial pathway from resource use to social support and enhanced motivation.</p>
<p>By adopting such an ecologically informed approach, military academies can more effectively cultivate not only physically fit, but also intrinsically motivated, future officers.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author/s.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Naval Aviation University, Yantai, China. 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 id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>WenW: Software, Methodology, Data curation, Investigation, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Project administration. CX: Writing &#x2013; review &amp; editing, Supervision, Investigation, Writing &#x2013; original draft, Methodology. GG: Writing &#x2013; original draft, Formal analysis, Writing &#x2013; review &amp; editing, Methodology, Project administration. CZ: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Software, Methodology, Visualization, Validation. FW: Writing &#x2013; review &amp; editing, Data curation, Methodology, Writing &#x2013; original draft, Project administration. YS: Investigation, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Software. WeiW: Writing &#x2013; original draft, Visualization, Writing &#x2013; review &amp; editing, Methodology.</p></sec>
<sec id="s10" sec-type="COI-statement">
<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 id="s11" sec-type="ai-statement">
<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 id="s12" sec-type="disclaimer">
<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>
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<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/558901">Fabr&#xed;cio Eduardo Rossi</ext-link>, Universidade Estadual Paulista J&#xfa;lio de Mesquita Filho, Brazil</p></fn>
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<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1615334">Muhammad Younas</ext-link>, Beijing Normal University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3301321">Sueyla Santos</ext-link>, S&#xe3;o Paulo State University, Brazil</p></fn>
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