Details of Research Outputs

Status已发表Published
TitleNighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students
Creator
Date Issued2022-03
Source PublicationInternational Journal of Environmental Research and Public Health
ISSN1661-7827
Volume19Issue:5
Abstract

Although the relationship between sleep and academic performance has 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 approximately 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 sleep tracking semester (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 higher 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.

KeywordAcademic performance College students Grade point average Longitudinal Nighttime sleep awakening Sleep Wearable device
DOI10.3390/ijerph19052933
URLView source
Indexed BySCIE ; SSCI
Language英语English
WOS Research AreaEnvironmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS SubjectEnvironmental Sciences ; Public, Environmental & Occupational Health
WOS IDWOS:000768245100001
Scopus ID2-s2.0-85125379447
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/8458
CollectionFaculty of Science and Technology
Corresponding AuthorHo, Ghee Wee; Li, Yu
Affiliation
1.Applied Psychology Programme,Division of Science and Technology,BNU-HKBU United International College,Zhuhai,2000 Jintong Rd, Tangjiawan,519087,China
2.Statistics Programme,Division of Science and Technology,BNU-HKBU United International College,Zhuhai,519087,China
3.Environmental Science Programme,Division of Science and Technology,BNU-HKBU United International College,Zhuhai,519087,China
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Corresponding Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Ho, Ghee Wee,Yang, Zhenzhi,Xing, Linnaet al. Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students[J]. International Journal of Environmental Research and Public Health, 2022, 19(5).
APA Ho, Ghee Wee, Yang, Zhenzhi, Xing, Linna, Tsang, Ken Kang Too, Ruan, Huada Daniel, & Li, Yu. (2022). Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students. International Journal of Environmental Research and Public Health, 19(5).
MLA Ho, Ghee Wee,et al."Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students". International Journal of Environmental Research and Public Health 19.5(2022).
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Ho, Ghee Wee]'s Articles
[Yang, Zhenzhi]'s Articles
[Xing, Linna]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ho, Ghee Wee]'s Articles
[Yang, Zhenzhi]'s Articles
[Xing, Linna]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ho, Ghee Wee]'s Articles
[Yang, Zhenzhi]'s Articles
[Xing, Linna]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.