Cargando…

Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ho, Ghee Wee, Yang, Zhenzhi, Xing, Linna, Tsang, Ken Kang-Too, Ruan, Huada Daniel, Li, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910766/
https://www.ncbi.nlm.nih.gov/pubmed/35270625
http://dx.doi.org/10.3390/ijerph19052933
_version_ 1784666583620124672
author Ho, Ghee Wee
Yang, Zhenzhi
Xing, Linna
Tsang, Ken Kang-Too
Ruan, Huada Daniel
Li, Yu
author_facet Ho, Ghee Wee
Yang, Zhenzhi
Xing, Linna
Tsang, Ken Kang-Too
Ruan, Huada Daniel
Li, Yu
author_sort Ho, Ghee Wee
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8910766
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-89107662022-03-11 Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students Ho, Ghee Wee Yang, Zhenzhi Xing, Linna Tsang, Ken Kang-Too Ruan, Huada Daniel Li, Yu Int J Environ Res Public Health Article 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. MDPI 2022-03-02 /pmc/articles/PMC8910766/ /pubmed/35270625 http://dx.doi.org/10.3390/ijerph19052933 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ho, Ghee Wee
Yang, Zhenzhi
Xing, Linna
Tsang, Ken Kang-Too
Ruan, Huada Daniel
Li, Yu
Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students
title Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students
title_full Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students
title_fullStr Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students
title_full_unstemmed Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students
title_short Nighttime Sleep Awakening Frequency and Its Consistency Predict Future Academic Performance in College Students
title_sort nighttime sleep awakening frequency and its consistency predict future academic performance in college students
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910766/
https://www.ncbi.nlm.nih.gov/pubmed/35270625
http://dx.doi.org/10.3390/ijerph19052933
work_keys_str_mv AT hogheewee nighttimesleepawakeningfrequencyanditsconsistencypredictfutureacademicperformanceincollegestudents
AT yangzhenzhi nighttimesleepawakeningfrequencyanditsconsistencypredictfutureacademicperformanceincollegestudents
AT xinglinna nighttimesleepawakeningfrequencyanditsconsistencypredictfutureacademicperformanceincollegestudents
AT tsangkenkangtoo nighttimesleepawakeningfrequencyanditsconsistencypredictfutureacademicperformanceincollegestudents
AT ruanhuadadaniel nighttimesleepawakeningfrequencyanditsconsistencypredictfutureacademicperformanceincollegestudents
AT liyu nighttimesleepawakeningfrequencyanditsconsistencypredictfutureacademicperformanceincollegestudents