Evidence map›Paper›PMID 35270625›Full record

ArticleInternational journal of environmental research and public health2022

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

Ghee Wee Ho, Zhenzhi Yang, Linna Xing, Ken Kang-Too Tsang, Huada Daniel Ruan, Yu Li

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ghee Wee HoApplied Psychology Programme, Division of Science and Technology, BNU-HKBU United International College, 2000 Jintong Rd, Tangjiawan, Zhuhai 519087, China.
Zhenzhi YangApplied Psychology Programme, Division of Science and Technology, BNU-HKBU United International College, 2000 Jintong Rd, Tangjiawan, Zhuhai 519087, China.
Linna XingApplied Psychology Programme, Division of Science and Technology, BNU-HKBU United International College, 2000 Jintong Rd, Tangjiawan, Zhuhai 519087, China.ORCID 0000-0001-5468-2762
Ken Kang-Too TsangStatistics Programme, Division of Science and Technology, BNU-HKBU United International College, Zhuhai 519087, China.
Huada Daniel RuanEnvironmental Science Programme, Division of Science and Technology, BNU-HKBU United International College, Zhuhai 519087, China.
Yu LiApplied Psychology Programme, Division of Science and Technology, BNU-HKBU United International College, 2000 Jintong Rd, Tangjiawan, Zhuhai 519087, China.
Beijing Normal-Hong Kong Baptist University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Academic PerformanceHumansSleepStudentsSurveys and QuestionnairesUniversitiesacademic performancecollege studentsgrade point averagelongitudinalnighttime sleep awakeningsleepwearable device

Identifiers

PMID35270625
PMCPMC8910766
OpenAlexW4220801804

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.