Evidence map›Paper›PMID 32072469›Full record

SynthesisSleep & breathing = Schlaf & Atmung2020

Sleep quality in medical students: a comprehensive meta-analysis of observational studies.

Wen-Wang Rao, Wen Li, Han Qi, Liu Hong, Chao Chen, Chun-Yang Li, Chee H Ng, Gabor S Ungvari, Yu-Tao Xiang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Sleep & breathing = Schlaf & Atmung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 7 pooled it
–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

65 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

9 authors.

Wen-Wang RaoCenter for Cognition and Brain Sciences, University of Macau, Macao SAR, China.ORCID https://orcid.org/0000-0002-3514-3082
Wen LiCenter for Cognition and Brain Sciences, University of Macau, Macao SAR, China.
Han QiThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, School of Mental Health, Capital Medical University, Beijing, China.
Liu HongDepartment of Psychiatry, WuZhongpei Memorial Hospital, Shunde District of Foshan City, 528300, Guangdong, China.
Chao ChenDepartment of Psychiatry, WuZhongpei Memorial Hospital, Shunde District of Foshan City, 528300, Guangdong, China.
Chun-Yang LiDepartment of Psychiatry, WuZhongpei Memorial Hospital, Shunde District of Foshan City, 528300, Guangdong, China.
Chee H NgDepartment of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia.ORCID https://orcid.org/0000-0002-4649-0645
Gabor S UngvariDivision of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia.ORCID https://orcid.org/0000-0003-4821-4764
Yu-Tao XiangCenter for Cognition and Brain Sciences, University of Macau, Macao SAR, China. xyutly@gmail.com.

Funding

Beijing Municipal Administration of Hospitals' Ascent Plan No. DFL20151801Beijing Municipal Administration of Hospitals Incubating Program No. PX2016028the National Key Research & Development Program of China No. 2016YFC1307200Universidade de Macau MYRG2015-00230-FHS; MYRG2016-00005-FHS
6 · The paper itself

Abstract

purposePoor sleep quality is common in medical students and is associated with a number of negative health outcomes. However, the prevalence estimates of poor sleep quality in medical students vary widely across studies. We thus conducted a meta-analysis of the prevalence of poor sleep quality and its mediating factors in medical students.

methodsA systematic literature search of PubMed, EMBASE, Web of Science, PsycINFO, and Medline Complete was performed. The random-effects model was used to analyze the pooled prevalence of poor sleep quality and its 95% confidence intervals (CIs).

resultsA total of 57 studies with 25,735 medical students were included. The pooled prevalence of poor sleep quality was 52.7% (95% CI: 45.3% to 60.1%) using the Pittsburgh Sleep Quality Index (PSQI). The pooled mean total PSQI score across 41 studies with available data was 6.1 (95% CI: 5.6 to 6.5). Subgroup analyses found that PSQI cutoff value and study region were associated with the prevalence of poor sleep quality (P = 0.0003 VS. P = 0.005). Across the continents, poor sleep quality was most common in Europe, followed by the Americas, Africa, Asia, and Oceania. Meta-regression analyses found that smaller sample size (slope = - 0.0001, P = 0.009) was significantly associated with higher prevalence of poor sleep quality.

conclusionsPoor sleep quality is common among medical students, especially in Europe and the Americas continets. Due to the negative health outcomes, regular screening of poor sleep quality and effective interventions are needed for medical students.

Indexed as

HumansObservational Studies as TopicSleep Wake DisordersStudents, MedicalMedical studentMeta-analysisPSQISleep quality

Identifiers

What OpenQuestion holds

Textmetadata
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.