Can Physical Activity Improve Psychological Problems Predicted by Poor Sleep? A Cross-Sectional Study from a Large Sample

Sleep quality is recognized as an important factor for depression, but suitable physical activity and psychological resilience may relieve depression. However, it remains unknown whether physical activity (PA) and psychological resilience (PR) can reduce the effect of sleep quality on depression. Therefore, a cross-sectional data from Survey of Physical and Mental Health of College Students was used. The Pittsburgh Sleep Quality Index Survey (PSQI), DASS-21, The short International physical activity Questionnaire (IPAQ), CD-RISC-10 were used to collect data. Logistic regression and restricted cubic spline models were used to examine the association of sleep quality and depression. A total of 19184 College Students aged 19.8 years (SD=1.66) were finally included in this study. The results indicated a positive correlation result between sleep quality and depression. Our results also indicate that low sleep quality is a risk factor for depression, and PA, PR can moderate this relationship to some degree.

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Publication Details

Journal
BIO Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/bioconf/202517403003
Primary Topic
Sleep and related disorders
Type
article
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article

Can Physical Activity Improve Psychological Problems Predicted by Poor Sleep? A Cross-Sectional Study from a Large Sample

Gao‐Xia Wei, Bei Zhang, Junyi Yang
BIO Web of Conferences
Sleep and related disorders
article

Can Physical Activity Improve Psychological Problems Predicted by Poor Sleep? A Cross-Sectional Study from a Large Sample

Gao‐Xia Wei, Bei Zhang, Junyi Yang
article en

Abstract

Sleep quality is recognized as an important factor for depression, but suitable physical activity and psychological resilience may relieve depression. However, it remains unknown whether physical activity (PA) and psychological resilience (PR) can reduce the effect of sleep quality on depression. Therefore, a cross-sectional data from Survey of Physical and Mental Health of College Students was used. The Pittsburgh Sleep Quality Index Survey (PSQI), DASS-21, The short International physical activity Questionnaire (IPAQ), CD-RISC-10 were used to collect data. Logistic regression and restricted cubic spline models were used to examine the association of sleep quality and depression. A total of 19184 College Students aged 19.8 years (SD=1.66) were finally included in this study. The results indicated a positive correlation result between sleep quality and depression. Our results also indicate that low sleep quality is a risk factor for depression, and PA, PR can moderate this relationship to some degree.

BIO Web of ConferencesVol. 174
Beijing Normal University (CN), Institute of Psychology, Chinese Academy of Sciences (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 90%
Sleep and related disorders
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