Evidence map›Paper›PMID 32197650›Full record

ArticleBMC public health2020

Impact of sleep problems on daytime function in school life: a cross-sectional study involving Japanese university students.

Momoko Kayaba, Toshiko Matsushita, Minori Enomoto, Chieko Kanai, Noriko Katayama, Yuichi Inoue, Taeko Sasai-Sakuma

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 40 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

7 authors at 5 institutions in 1 country.

Momoko KayabaDepartment of Somnology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan. momoko-k@tokyo-med.ac.jp.
Toshiko MatsushitaDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Fukuura 3-9, Yokohama, Kanazawa-ku, Kanagawa, 236-0004, Japan.
Minori EnomotoDepartment of Medical Technology, School of Health Sciences, Tokyo University of Technology, Nishikamata 5-23-22, Ota-ku, Tokyo, 144-0051, Japan.
Chieko KanaiChild Development and Education, Faculty of Humanities, Wayo Women's University, Konodai 2-3-1, Ichikawa, Chiba, 272-0827, Japan.
Noriko KatayamaDepartment of Nursing, Faculty of Medical Sciences, Shonan University of Medical Sciences, Kamishinano 16-48, Yokohama, Totsuka-ku, Kanagawa, 244-0806, Japan.
Yuichi InoueDepartment of Somnology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Taeko Sasai-SakumaDepartment of Somnology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Tokyo Medical University · JPShonan University of Medical Sciences · JPTokyo University of Technology · JPWayo Women's University · JPYokohama City University · JP

Funding

Japan Society for the Promotion of Science JP17K17534
6 · The paper itself

Abstract

backgroundThe aims of this study were 1) to clarify the prevalence of sleep problems (insomnia, insufficient sleep, and delayed sleep-wake phase) among Japanese university students; 2) to examine sociodemographic characteristics, lifestyle, and sleep-related symptoms in each sleep problem; and 3) to evaluate the association between the above-mentioned sleep problems and daytime dysfunction in school life.

methodsSelf-report questionnaire surveys were conducted at eight universities in Japan, and we received 1034 valid answers (78% female). The questionnaire consisted of socio-demographic characteristics, information on lifestyle, sleep pattern, sleep-related symptoms, and daytime dysfunction in school life. Groups with insomnia, behaviorally induced insufficient sleep syndrome (BIISS), delayed sleep-wake phase (DSWP), and BIISS + DSWP were defined. To identify the association between sleep problems and daytime dysfunction in school life, the generalized linear mixed effect model was conducted.

resultsSleep duration on weekdays was 5.9 ± 1.2 h, and 38.2% of the students had a sleep duration < 6.0 h. About 16% of the students were categorized as evening-type individuals. More than half of the students (56.1%) had excessive daytime sleepiness. Insomnia was associated with tardiness (aOR: 0.8, 95%CI: 0.7-0.9) and falling asleep during class (aOR: 1.6: 95%CI: 1.4-2.0). BIISS was associated with tardiness (aOR: 1.5, 95%CI: 1.1-2.2) and interference with academic achievement (aOR: 1.9, 95%CI: 1.3-2.6). DSWP and BIISS + DSWP were associated with absence (aOR: 3.4, 95%CI: 2.2-5.1 / aOR: 4.2, 95%CI: 3.2-5.6), tardiness (aOR: 2.7, 95%CI: 1.8-4.1 / aOR: 2.2, 95%CI: 1.6-2.8), falling asleep during class (aOR: 2.6, 95%CI: 1.4-4.8 / aOR: 7.6, 95%CI: 3.3-17.2), and interference with academic achievement (aOR: 2.6, 95%CI: 1.7-3.9 / aOR: 2.1, 95%CI: 1.6-2.8).

conclusionsStudents with DSWP and BIISS + DSWP were significantly associated with daytime dysfunction in school life, i.e. absence, tardiness, falling asleep during class and interference with academic achievement. Students displaying BIISS + DSWP were considered to have a relatively more serious condition compared with those with only insomnia, DSWP, or BIISS. It is therefore of utmost importance that university students aim to prevent DSWP and BIISS which were associated with daytime function in school life.

Indexed as

AbsenteeismAcademic SuccessAdolescentCross-Sectional StudiesFemaleHumansJapanMalePrevalenceSelf ReportSleep Wake DisordersStudentsUniversitiesYoung AdultAttendanceBehaviorally induced insufficient sleep syndromeDaytime dysfunctionDelayed sleep-wake phaseInsomniaTardiness

Identifiers

PMID32197650
PMCPMC7082903
OpenAlexW3012577095

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.