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<p>The aim of this study is to examine, within a structural equation modeling (SEM) framework, the associations of sleep quality with enjoyment derived from physical activity and burnout among elite male taekwondo athletes. The study was conducted using a quantitative research design, and structural equation modeling (SEM) was employed for data analysis. Surveys were administered to 215 elite taekwondo athletes competing in various cities across Türkiye; after excluding six invalid questionnaires, a total of 209 responses were retained for analysis. The results revealed that poorer sleep quality was strongly associated with higher burnout levels (β = 0.54, <i>p</i> &lt; .001), and that enjoyment was significantly associated with lower burnout levels (β = –0.30, <i>p</i> &lt; .001). In line with these findings, sleep quality and enjoyment emerged as significant predictors of burnout: poorer sleep quality was associated with increased burnout, while greater enjoyment was associated with lower levels of burnout.</p>

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Associations among sleep quality, physical activity enjoyment, and burnout in elite male taekwondo athletes: a structural equation modeling study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月29日

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  • Şevket Cihat Özer,
  • Ali Erdoğan,
  • Muzaffer Toprak Keskin,
  • İlhan Gözen,
  • Eyüp Temur

摘要

The aim of this study is to examine, within a structural equation modeling (SEM) framework, the associations of sleep quality with enjoyment derived from physical activity and burnout among elite male taekwondo athletes. The study was conducted using a quantitative research design, and structural equation modeling (SEM) was employed for data analysis. Surveys were administered to 215 elite taekwondo athletes competing in various cities across Türkiye; after excluding six invalid questionnaires, a total of 209 responses were retained for analysis. The results revealed that poorer sleep quality was strongly associated with higher burnout levels (β = 0.54, p < .001), and that enjoyment was significantly associated with lower burnout levels (β = –0.30, p < .001). In line with these findings, sleep quality and enjoyment emerged as significant predictors of burnout: poorer sleep quality was associated with increased burnout, while greater enjoyment was associated with lower levels of burnout.