Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students Article Swipe
Ghee W. Ho
,
Zhenzhi Yang
,
Linna Xing
,
Ken K. T. Tsang
,
Huada Daniel Ruan
,
Yu Li
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202112.0489.v1
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202112.0489.v1
Although the relations between sleep and academic performance have been extensively examined, how sleep predicts future academic performance (e.g., 2 -3 years) remains to be further investigated. Using wearable smartwatches and a self-report questionnaire, we tracked sleep activities of 45 college students over a period of approximate half a month to see whether their sleep activities predicted their academic performance, which was estimated by grade point average (GPA). Results showed that both nighttime sleep awakening frequency and its consistency in the tracking period were not significantly correlated with the GPA for the courses taken in the semester during sleep tracking (current GPA). However, both nighttime sleep awakening frequency and its consistency inversely predicted the GPA for the rest of the courses taken after that semester (future GPA). Moreover, students with more difficulty staying awake throughout the day obtained lower current and future GPAs, and students with lower inconsistency of sleep quality obtained lower future GPA. Together, these findings highlight the importance of nighttime sleep awakening frequency and consistency in predicting future academic performance and emphasize the necessity of assessing the consistency of sleep measures in future studies.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202112.0489.v1
- https://www.preprints.org/manuscript/202112.0489/v1/download
- OA Status
- green
- Cited By
- 1
- References
- 90
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4205459744Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20944/preprints202112.0489.v1Digital Object Identifier
- Title
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Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College StudentsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-12-30Full publication date if available
- Authors
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Ghee W. Ho, Zhenzhi Yang, Linna Xing, Ken K. T. Tsang, Huada Daniel Ruan, Yu LiList of authors in order
- Landing page
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https://doi.org/10.20944/preprints202112.0489.v1Publisher landing page
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https://www.preprints.org/manuscript/202112.0489/v1/downloadDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.preprints.org/manuscript/202112.0489/v1/downloadDirect OA link when available
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Sleep (system call), Consistency (knowledge bases), Psychology, Tracking (education), Sleep quality, Computer science, Cognition, Psychiatry, Pedagogy, Artificial intelligence, Operating systemTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2021: 1Per-year citation counts (last 5 years)
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90Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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