Evidence map›Paper›PMID 34659795›Full record

ArticleBJPsych open2021

Pre-hospital, in-hospital and post-hospital factors associated with sleep quality among COVID-19 survivors 6 months after hospital discharge: cross-sectional survey in five cities in China.

Leiwen Fu, Yuan Fang, Dan Luo, Bingyi Wang, Xin Xiao, Yuqing Hu, Niu Ju, Weiran Zheng, Hui Xu, Xue Yang and 18 more

Erratum issuedAbstract read
In one paragraph

Article in BJPsych open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Systematic Review of the Prevalence of Long COVID.Open forum infectious diseases · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Recent Advancements on Long COVID in China: A Narrative Review.International journal of general medicine · 2023
    Review
  10. Article
  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Leiwen FuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID 0000-0003-3959-5788
Yuan FangDepartment of Early Childhood Education, The Education University of Hong Kong, Hong Kong SAR, China.
Dan LuoSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Bingyi WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID 0000-0002-3713-0488
Xin XiaoSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China, and Center for Optometry and Visual Science, the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Yuqing HuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Niu JuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Weiran ZhengSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Hui XuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Xue YangJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Paul Shing Fong ChanJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Zhijie XuThe Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Ping ChenThe Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Jiaoling HeThe Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Hongqiong ZhuThe Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Huiwen TangThe Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Dixi HuangThe Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Zhongsi HongThe Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Xiaojun MaGuangdong Provincial People's Hospital, Guangzhou, China.
Yanrong HaoDepartment of Scientific Research, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Lianying CaiDepartment of Education, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jianrong YangDepartment of Hepatobiliary, Pancreas and Spleen Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Shupei YeDepartment of emergency, SSL Central Hospital of Dongguan City, Dongguan, China.
Jianhui YuanShenzhen Nanshan District Center for Disease Control and Prevention, Shenzhen, China.
Yaoqing ChenSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Fei XiaoThe Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Zixin WangJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-1158-2304
Huachun ZouSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China; Kirby Institute, University of New South Wales, Sydney, Australia; Shenzhen Center for Disease Control and Prevention, Shenzhen, China; and School of Public Health, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding factors associated with post-discharge sleep quality among COVID-19 survivors is important for intervention development. Aims: This study investigated sleep quality and its correlates among COVID-19 patients 6 months after their most recent hospital discharge. Method: Healthcare providers at hospitals located in five different Chinese cities contacted adult COVID-19 patients discharged between 1 February and 30 March 2020. A total of 199 eligible patients provided verbal informed consent and completed the interview. Using score on the single-item Sleep Quality Scale as the dependent variable, multiple linear regression models were fitted. Results: Among all participants, 10.1% reported terrible or poor sleep quality, and 26.6% reported fair sleep quality, 26.1% reported worse sleep quality when comparing their current status with the time before COVID-19, and 33.7% were bothered by a sleeping disorder in the past 2 weeks. After adjusting for significant background characteristics, factors associated with sleep quality included witnessing the suffering (adjusted B = -1.15, 95% CI = -1.70, -0.33) or death (adjusted B = -1.55, 95% CI = -2.62, -0.49) of other COVID-19 patients during hospital stay, depressive symptoms (adjusted B = -0.26, 95% CI = -0.31, -0.20), anxiety symptoms (adjusted B = -0.25, 95% CI = -0.33, -0.17), post-traumatic stress disorders (adjusted B = -0.16, 95% CI = -0.22, -0.10) and social support (adjusted B = 0.07, 95% CI = 0.04, 0.10). Conclusions: COVID-19 survivors reported poor sleep quality. Interventions and support services to improve sleep quality should be provided to COVID-19 survivors during their hospital stay and after hospital discharge.

Indexed as

ChinaCOVID-19 survivorsin-hospital factorspost-hospital factorspre-hospital factorssleep quality

Identifiers

PMID34659795
PMCPMC8505817

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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.