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        <identifier>oai:figshare.com:article/33971278</identifier>
        <datestamp>2026-09-23T05:55:22Z</datestamp>
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          <dc:title>Table 1_Cross-sectional associations of maladaptive sleep-hygiene behaviors with athlete engagement among provincial- and municipal-level athletes in Sichuan, China.docx</dc:title>
          <dc:creator>Yu Zhou (89766)</dc:creator>
          <dc:creator>Yang Xu (178421)</dc:creator>
          <dc:creator>Meilu Zhang (24720784)</dc:creator>
          <dc:creator>Huangyan Li (21978695)</dc:creator>
          <dc:subject>Applied Psychology</dc:subject>
          <dc:subject>athlete engagement</dc:subject>
          <dc:subject>cross-sectional study</dc:subject>
          <dc:subject>emotion regulation</dc:subject>
          <dc:subject>fatigue</dc:subject>
          <dc:subject>PLS-SEM</dc:subject>
          <dc:subject>sleep hygiene</dc:subject>
          <dc:description>Purpose&lt;p&gt;Maladaptive sleep-hygiene behaviors are potentially modifiable daily practices, yet their relationship with the psychological state that sustains sport involvement remains unclear. This study examined cross-sectional associations among maladaptive sleep-hygiene behaviors (MSHB), multidimensional fatigue, difficulties in emotion regulation, and athlete engagement, including three model-based indirect associations.&lt;/p&gt;Methods&lt;p&gt;A cross-sectional questionnaire survey was completed by 317 adult athletes recruited from provincial- and municipal-level teams in Sichuan Province, China. Participants represented table tennis, badminton, tennis, basketball, volleyball, and football. The Sleep Hygiene Index, the Chinese Multidimensional Fatigue Inventory, the DERS-16, and the Athlete Engagement Questionnaire were administered. A reflective partial least squares structural equation model was estimated with 5,000 bootstrap resamples. Measurement quality, construct differentiation, common-method diagnostics, out-of-sample prediction, demographic adjustment, alternative cross-sectional specifications, and subgroup robustness were evaluated.&lt;/p&gt;Results&lt;p&gt;More frequent MSHB were associated with greater fatigue [β = 0.491, 95% CI (0.408, 0.573)], greater difficulties in emotion regulation [β = 0.178, 95% CI (0.079, 0.274)], and lower athlete engagement [β = −0.264, 95% CI (−0.370, −0.161)]. Fatigue was associated with greater difficulties in emotion regulation [β = 0.588, 95% CI (0.500, 0.673)] and lower engagement [β = −0.325, 95% CI (−0.446, −0.205)]; difficulties in emotion regulation were also associated with lower engagement [β = −0.232, 95% CI (−0.351, −0.108)]. The total indirect association was [β = −0.268, 95% CI (−0.338, −0.204)], and the model explained 47.2% of engagement variance. Demographic adjustment yielded comparable estimates. Reverse-order and parallel specifications fitted the cross-sectional covariance structure equally well.&lt;/p&gt;Conclusion&lt;p&gt;Within the sampled setting, more frequent MSHB co-occurred with greater fatigue, more difficulties in emotion regulation, and lower athlete engagement. Fatigue accounted for the largest specific indirect association. The single-occasion self-report design leaves actual sleep disturbance, temporal sequence, and causal effects unresolved.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-23T05:55:22Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fpsyg.2026.1914692.s001</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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