Evidence map›Paper›PMID 33154689›Full record

ArticleNature and science of sleep2020

Sleep Quality of Students from Elementary School to University: A Cross-Sectional Study.

Baohua Liu, Fei Gao, Jianfeng Zhang, Hongguo Zhou, Ning Sun, Laiyou Li, Libo Liang, Ning Ning, Qunhong Wu, Miaomiao Zhao

Abstract read
In one paragraph

Article in Nature and science of sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

10 authors.

Baohua Liu *School of Health Services and Management, Ningbo College of Health Sciences, Ningbo 315100, Zhejiang, People's Republic of China.
Fei Gao *Institute of Food Safety and School Health, Heilongjiang Center for Disease Control and Prevention, Harbin 150030, Heilongjiang, People's Republic of China.
Jianfeng Zhang *Institute of Food Safety and School Health, Heilongjiang Center for Disease Control and Prevention, Harbin 150030, Heilongjiang, People's Republic of China.
Hongguo ZhouSchool of Health Services and Management, Ningbo College of Health Sciences, Ningbo 315100, Zhejiang, People's Republic of China.
Ning SunSchool of Health Services and Management, Ningbo College of Health Sciences, Ningbo 315100, Zhejiang, People's Republic of China.
Laiyou LiSchool of Health Services and Management, Ningbo College of Health Sciences, Ningbo 315100, Zhejiang, People's Republic of China.
Libo LiangDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin 150081, Heilongjiang, People's Republic of China.
Ning NingDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin 150081, Heilongjiang, People's Republic of China.
Qunhong WuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin 150081, Heilongjiang, People's Republic of China.
Miaomiao ZhaoDepartment of Health Management, School of Public Health, Nantong University, Nantong 226019, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep affects a wide array of health outcomes and is associated with the quality of life. Among students, sleep quality is affected by school stage and grade; however, data regarding the different sleep-related problems students experience at different school stages are limited. In this study, we aimed to explore sleep quality among a student sample ranging from elementary school to university level.

methodsOverall, data were examined for 9392 subjects aged 9-22 years. Information on sociodemographic characteristics and other variables were collected through self-administered questionnaires. Sleep quality on school nights was evaluated using the standard Pittsburgh Sleep Quality Index; global score >5 was classified as poor sleep quality. For the high school sample, logistic regression analysis was used to estimate associations between sleep quality and certain factors.

resultsOf the elementary school, middle school, vocational high school, senior high school, and university students, 7.5%, 19.2%, 28.6%, 41.9%, and 28.5%, respectively, showed poor sleep quality. The high school students reported the highest prevalence of shorter sleep duration (70.8%), day dysfunction (84.7%), and subjective poor sleep quality (17.2%). The elementary school students showed the highest prevalence of poor sleep efficiency (17.9%). The university students showed the highest prevalence of sleep medication use (6.4%). The vocational high school students reported the highest prevalence of sleep latency (6.3%) and sleep disturbance (7.4%). Logistic regression modeling indicated that sleep quality is positively associated with school stage, grade, family atmosphere, academic pressure, and number of friends.

conclusionSleep quality and sleep features change greatly from elementary school to university. Interventions to improve sleep quality should consider targeting the specific issues students experience at each school stage. Alarmed by the high prevalence of poor sleep quality among high school students, it is recommended that high school students should be informed of their sleep matter and the consequences.

Indexed as

different school stagesPSQIsleep qualitystudents

Identifiers

PMID33154689
PMCPMC7605933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.