Evidence map›Paper›PMID 37926449›Full record

ArticleSaudi medical journal2023

Sleep disturbance and medical requests among university and college students in Chongqing, China: A cross-sectional study.

Ting Wang, Jiuheng Yin, Chen Hu, Wanzhen Tang, Xiaowen Che, Ying Liu

Open access · diamondAbstract read
In one paragraph

Article in Saudi medical journal, 2023. 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
0.6field-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, 2 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.

Ting WangFrom the Department of Nursing (Wang, Tang, Che, Liu), Faculty of Nursing, Chongqing Medical and Pharmaceutical College, from the Department of General Surgery (Yin), The Second Affiliated Hospital, Army Medical University, and from the Department of Encephalopathy (Hu), Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.ORCID https://orcid.org/0000-0003-2551-7033
Jiuheng YinFrom the Department of Nursing (Wang, Tang, Che, Liu), Faculty of Nursing, Chongqing Medical and Pharmaceutical College, from the Department of General Surgery (Yin), The Second Affiliated Hospital, Army Medical University, and from the Department of Encephalopathy (Hu), Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Chen HuFrom the Department of Nursing (Wang, Tang, Che, Liu), Faculty of Nursing, Chongqing Medical and Pharmaceutical College, from the Department of General Surgery (Yin), The Second Affiliated Hospital, Army Medical University, and from the Department of Encephalopathy (Hu), Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Wanzhen TangFrom the Department of Nursing (Wang, Tang, Che, Liu), Faculty of Nursing, Chongqing Medical and Pharmaceutical College, from the Department of General Surgery (Yin), The Second Affiliated Hospital, Army Medical University, and from the Department of Encephalopathy (Hu), Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Xiaowen CheFrom the Department of Nursing (Wang, Tang, Che, Liu), Faculty of Nursing, Chongqing Medical and Pharmaceutical College, from the Department of General Surgery (Yin), The Second Affiliated Hospital, Army Medical University, and from the Department of Encephalopathy (Hu), Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Ying LiuFrom the Department of Nursing (Wang, Tang, Che, Liu), Faculty of Nursing, Chongqing Medical and Pharmaceutical College, from the Department of General Surgery (Yin), The Second Affiliated Hospital, Army Medical University, and from the Department of Encephalopathy (Hu), Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the prevalence of sleep disturbance, sleep patterns, sleep-related factors, and medical demands among university and college students in Chongqing, China.

methodsDemographic data and responses to the sleep problem questionnaire (SPQ) were collected from 1973 students from 11 universities and 10 colleges between November 2022 and January 2023.

resultsThe prevalence of sleep disturbance in university and college students was different in different periods (58.17% during campus lockdown and 40.30% after the lifting of lockdown). The combined prevalence was 49.72%. The prevalence of the 6 types of sleep disturbance showed the same trend. The average sleep latency was 32.79 minutes and the average sleep duration was 7.53 hours. Male, university students, upper-class students, history of depression, academic stress, major life events, bad bedroom environment, and campus lockdown were factors related to sleep disturbance among respondents. Most of the respondents (52.09%) had no medical care requests, and the major reasons were a lack of access to medical care (75.15%), economic pressure (68.49%), concerns regarding curative effects (58.51%), and academic pressure (56.56%).

conclusionThe prevalence of sleep disturbance for university and college students was obviously improved after the lifting of campus lockdown, and the major factors related to sleep disturbance were study, life, mental health, and sleep environment. The students examined herein reported relatively low medical care requests when they experience sleep disturbance.

Indexed as

Sleep Wake DisordersChinaCross-Sectional StudiesHumansMaleSleepStudentsUniversitiescollege studentsmedical requestssleep disturbanceuniversity students

Identifiers

PMID37926449
PMCPMC10712779
OpenAlexW4388383327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.