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

Ho, Ghee Wee; Yang, Zhenzhi; Xing, Linna; Tsang, K. T.; Ruan, Huada Daniel; Liu, Yu

doi:10.3390/ijerph19052933

Cited by 2 publications

(2 citation statements)

References 88 publications

(150 reference statements)

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“…Sleep could affect students' academic performance, which was a critical indicator of their competence and intelligence. To some extent, the grade point average could be predicted by sleep duration ( 37 ), sleep quality ( 38 ), and the frequency and consistency of nighttime sleep awakening ( 39 ). In total, the top 10 cluster results expressed that most studies were committed to describing the connections between sleep problems with academic performance, substance addiction, and physical activity.…”

Section: Results and Analysismentioning

confidence: 99%

Research trends in college students' sleep from 2012 to 2021: A bibliometric analysis

Zhou

et al. 2022

Front. Psychiatry

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BackgroundA great proportion of college students experience various sleep problems, which damage their health and study performance. College students' sleep problems, which are caused by several factors, have been easily ignored before. In the past decade, more research has been published to expand our understanding of undergraduates' sleep. The purpose of the study is to explore the research hotspots and frontiers regarding college students' sleep using CiteSpace5.8.R3 and offer guidance for future study.MethodsWe retrieved relevant literature from the Web of Science Core Collection Database and imputed the downloaded files into CiteSpace5.8.R3 for visualization analysis. We generated network maps of the collaborations between authors, countries, institutions, the cited journals, and co-occurrence keywords. The analysis of keywords clusters, timeline views, and keywords citation bursts help us identify the hotspots and research trends.ResultsA total of 1,841 articles related to college students' sleep, published from 2012 to 2021, were selected. The number of publications gradually increased. Karl Peltzer was the most prolific authors with 15 publications. The United States and Harvard University separately contributed 680 and 40 articles and had the greatest impact in this field. SLEEP ranked first in the frequency of cited journals. The article published by Lund HG was the most influential publication. Based on the analysis of keywords, we summarized research hotspots as follows: current status, affecting factors, and adverse outcomes of college students' sleep. The frontiers were the further understanding of the relationships between sleep and mental and physical health, and various interventions for sleep disorders.ConclusionOur study illustrates the research hotspots and trends and calls for more research to expand the findings. In the future, the cooperation between institutions and authors needs to be strengthened. The complex relationships between sleep and mental and physical health and problematic substance use disorders are necessary to be explored. Longitudinal studies or randomized controlled trials should be constructed to verify the current findings or assumptions.

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Section: Results and Analysismentioning

confidence: 99%

Research trends in college students' sleep from 2012 to 2021: A bibliometric analysis

Zhou

et al. 2022

Front. Psychiatry

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“… 13 It is also commonly associated with numerous chronic health problems such as heart disease, 14 high blood pressure, 15 stroke 16 and obesity. 17 These outcomes lead to further impacts on common sleep quality indicators, such as sleep efficiency (SE), 18 night-time sleep awakening frequency 19 and sleep latency (SL). 20 Furthermore, additional contributors to poor sleep behaviours include a lack of sleep education and sleep hygiene knowledge among university students.…”

Section: Introductionmentioning

confidence: 99%

A pilot randomised controlled trial exploring the feasibility and efficacy of a human-AI sleep coaching model for improving sleep among university students

Liu,

Ito,

Ngo

et al. 2024

DIGITAL HEALTH

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Objective Sleep quality is a crucial concern, particularly among youth. The integration of health coaching with question-answering (QA) systems presents the potential to foster behavioural changes and enhance health outcomes. This study proposes a novel human-AI sleep coaching model, combining health coaching by peers and a QA system, and assesses its feasibility and efficacy in improving university students’ sleep quality. Methods In a four-week unblinded pilot randomised controlled trial, 59 university students (mean age: 21.9; 64% males) were randomly assigned to the intervention (health coaching and QA system; n = 30) or the control conditions (QA system; n = 29). Outcomes included efficacy of the intervention on sleep quality (Pittsburgh Sleep Quality Index; PSQI), objective and self-reported sleep measures (obtained from Fitbit and sleep diaries) and feasibility of the study procedures and the intervention. Results Analysis revealed no significant differences in sleep quality (PSQI) between intervention and control groups (adjusted mean difference = −0.51, 95% CI: [−1.55–0.77], p = 0.40). The intervention group demonstrated significant improvements in Fitbit measures of total sleep time (adjusted mean difference = 32.5, 95% CI: [5.9–59.1], p = 0.02) and time in bed (adjusted mean difference = 32.3, 95% CI: [2.7–61.9], p = 0.03) compared to the control group, although other sleep measures were insignificant. Adherence was high, with the majority of the intervention group attending all health coaching sessions. Most participants completed baseline and post-intervention self-report measures, all diary entries, and consistently wore Fitbits during sleep. Conclusions The proposed model showed improvements in specific sleep measures for university students and the feasibility of the study procedures and intervention. Future research may extend the intervention period to see substantive sleep quality improvements.

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

Cited by 2 publications

References 88 publications

Research trends in college students' sleep from 2012 to 2021: A bibliometric analysis

Research trends in college students' sleep from 2012 to 2021: A bibliometric analysis

A pilot randomised controlled trial exploring the feasibility and efficacy of a human-AI sleep coaching model for improving sleep among university students

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