Bridging the gap: investigating discrepancies between subjective and objective sleep assessment in university students
Author | Haddad, Monoem |
Author | Abbes, Zied |
Author | Abdel-Salam, Abdel-Salam G. |
Available date | 2025-04-30T07:49:41Z |
Publication Date | 2025 |
Publication Name | Biological Rhythm Research |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1080/09291016.2024.2441409 |
ISSN | 9291016 |
Abstract | Introduction Sleep quality among university students is crucial for academic success and overall well-being. This study investigated the discrepancies between subjective and objective sleep assessment in university students and explored associated factors. Method A total of 19 male university students (mean age: 25 ± 3 years; mean weight: 79.36 ± 15.18 kg; mean height: 1.77 ± 0.09 m; mean body mass index: 25.09 ± 3.99) participated, providing subjective self-reports and objective measurements of sleep quality. Actigraphy was utilized to objectively assess sleep patterns. Statistical analysis included descriptive statistics, Pearson correlation analysis, and a linear mixed-effects model to examine associations between subjective and objective sleep measures and academic performance. Results Significant associations between subjective and objective sleep measures were found, with higher academic performance linked to better sleep efficiency. However, subjective sleep quality metrics did not significantly predict sleep efficiency. Objective measures, such as total sleep time and wake after sleep onset, were significant predictors of sleep efficiency. Discussion These findings underscore the importance of subjective and objective sleep assessments in understanding sleep quality among university students. |
Sponsor | This work was supported by Qatar University under Collaborative Grant QUCG-CED-21-22-1 & QUCG-CED-24_25-495. The authors would like to thank all the participants for taking part in this study. The authors gratefully acknowledge the assistance of ChatGPT 4, an artificial intelligence language model developed by OpenAI, for its invaluable support in correcting flaws and refining sentences throughout the writing process of this manuscript. After using this tool, the authors reviewed and edited the content as needed, and take full responsibility for the content of the publication. |
Language | en |
Publisher | Taylor and Francis Ltd. |
Subject | academic results Actigraphy Monitoring Pittsburgh Sleep Quality Index Sleep Efficiency Sleep variations Sleep-Wake Cycle Total Sleep Time |
Type | Article |
Pagination | 63-74 |
Issue Number | 1 |
Volume Number | 56 |
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