Relationship between Subjective Sleep Quality, Physical Activity and Psychological Adjustment

DOI Web Site 1 Citations 26 References
  • Arai Hirokazu
    Osaka Institute of Technology, Faculty of Intellectual Property, Section for Health-Related Physical Education:Osaka University Center for the Study of Communication-Design
  • Nakamura Tomohiro
    Osaka Institute of Technology, Faculty of Intellectual Property, Section for Health-Related Physical Education
  • Kiuchi Atsushi
    Osaka Institute of Technology, Faculty of Intellectual Property, Section for Health-Related Physical Education
  • Urai Ryotaro
    Osaka Institute of Technology, Faculty of Intellectual Property, Section for Health-Related Physical Education

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  • 主観的な睡眠の質と身体活動および心理的適応との関連
  • シュカンテキ ナ スイミン ノ シツ ト シンタイ カツドウ オヨビ シンリテキ テキオウ ト ノ カンレン

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Objectives: This study evaluated the relationship between subjective sleep quality, physical activity, and psychological adjustment (anxiety or depression) in male students in an evening university. Subjects: The subjects in this study were 186 males who were freshmen in an evening university. Method: The Japanese version of the Pittsburgh Sleep Quality Index (PSQI-J) was used to measure subjective sleep quality. The subjects were rated based on the following two scales: the Physical Activity Assessment Scale (PAAS) for the measurement of exercise behavior and daily physical activity and the Japanese version of the Hospital Anxiety and Depression Scale (HADS) for the measurement of anxiety and depression. A cross sectional design was used in this study. Results: Correlational analysis revealed that lower exercise and daily physical activity correlated with longer sleep duration and more use of sleep medication, while greater daily physical activity correlated with lesser sleep disturbances and daytime dysfunction. Further, to predict the PSQI scores, a two-step hierarchical regression analysis was performed by entering anxiety and depression as a set in the first step and exercise and daily physical activity as a set in the second step. The results confirmed that exercise did not predict the PSQI scores, while daily physical activity predicted sleep duration, habitual sleep efficiency, sleep disturbances, and daytime dysfunction. Furthermore, the R^2 changes identified by the hierarchical regression analysis at the second step were significant in sleep duration and daytime dysfunction. Conclusion: In conclusion, the present study partly supported the hypothesis that physical activity was related to subjective sleep quality.

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